- Review Paper
- Published: 22 August 2020

A systematic review of urban sprawl studies in India: a geospatial data perspective
- Varinder Saini ORCID: orcid.org/0000-0002-8887-6941 1 &
- Reet Kamal Tiwari 1
Arabian Journal of Geosciences volume 13 , Article number: 840 ( 2020 ) Cite this article
1067 Accesses
8 Citations
Metrics details
This paper reviews articles published in the English language and using geospatial data in analysing the state of urban sprawl in India. India is not far behind in the unparalleled global phenomenon of urbanization, with it adding the highest number of urban dwellers by 2050. We review a total of 153 articles involving the use of remote sensing data for studying urban sprawl in India since it was first reported in the 1980s to the present. We find an exponentially increasing trend of urban sprawl studies since the year 2010 attributing to 72% of the total publications. This review helped in finding preferences as regards the most frequently studied city, platforms/sensors used, journals and the most active group carrying out urban sprawl studies. We then group the studies decade wise and report the major findings. Earlier studies mainly focused on the post-classification comparison of multi-temporal data. With the advancement of geospatial technology along with the ease of availability of satellite data, there has been a significant spurge in the number and quality of urban sprawl studies in the recent decades and involves advanced methods like spatial metrics, artificial neural network, object-based classification, and different kinds of modelling for future prediction of sprawl. Our findings suggest that sprawl research has evolved significantly over the years. With the availability of a large number of studies and copious amounts of data, the governmental agencies and large organizations should actively formulate a national-level database and incorporate these studies in various urban planning decisions.
This is a preview of subscription content, access via your institution .
Access options
Buy single article.
Instant access to the full article PDF.
Price includes VAT (Russian Federation)
Rent this article via DeepDyve.

Aburas MM, Ho YM, Ramli MF, Ash’aari ZH (2016) The simulation and prediction of spatiotemporal urban growth trends using cellular automata models: a review. Int J Appl Earth Obs Geoinf 52:380–389
Google Scholar
Acharjee S, Goswami U, Saikia R (2013) Visual change detection study of some of the urban areas of Assam, India using remote sensing. Int J Geomat Geosci 3:500–510
Ahmad F, Goparaju L (2016) Analysis of urban sprawl dynamics using geospatial technology in Ranchi city, Jharkhand, India. J Environ Geogr 9:7–13
Akademie für Raumforschung und Landesplanung (ARL), Schweizerische Vereinigung für Landesplanung (VLP) (1999) Deutsch-Schweizerisches Handbuch der Planungsbegriffe. Verlag der Akademie für Raumforschung und Landesplanung, Hannover, p 241
Alberti M, Waddell P (2000) An integrated urban development and ecological simulation model. Integrated Assessment 1:215–227. https://doi.org/10.1023/A:1019140101212
Aljohani K, Thompson RG (2016) Impacts of logistics sprawl on the urban environment and logistics: taxonomy and review of literature. J Transp Geogr 57:255–263
Anees MM, Sajjad S, Joshi PK (2018) Characterizing urban area dynamics in historic city of Kurukshetra, India, using remote sensing and spatial metric tools. Geocarto Int 34:1584–1607. https://doi.org/10.1080/10106049.2018.1499819
Article Google Scholar
Arsanjani JJ, Helbich M, Kainz W, Boloorani AD (2013) Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion. Int J Appl Earth Obs Geoinf 21:265–275
Badlani B, Patel AN, Patel K, Kalubarme MH (2017) Urban growth monitoring using remote sensing and geo-informatics: case study of Gandhinagar, Gujarat state (India). Int J Geosci 8:563–576
Bala R, Krishan G (1982) Urbanization in a border region: a case study of India’s border districts adjoining Pakistan. Geogr J 148:43–49
Barnes KB, Morgan JM III, Roberge MC, Lowe S (2001) Sprawl development: its patterns, consequences, and measurement. Towson University, Towson. http://www.chesapeake.towson.edu/landscape/urbansprawl/download/Sprawlwhitepaper.pdf
Barnsley MJ, Barr SL (1997) Distinguishing urban land-use categories in fine spatial resolution land-cover data using a graph-based, structural pattern recognition system. Computers, Environment and Urban Systems 21(3-4):209–225
Barrington-Leigh C, Millard-Ball A (2015) A century of sprawl in the United States. PNAS 112:8244–8249
Basawaraja R, Chari KB, Mise SR, Chetti SB (2011) Analysis of the impact of urban sprawl in altering the land-use, land-cover pattern of Raichur City, India, using geospatial technologies. J Geogr Reg Plan 4:455–462
Baud I, Kuffer M, Pfeffer K, Sliuzas R, Karuppannan S (2010) Understanding heterogeneity in metropolitan India: the added value of remote sensing data for analyzing substandard residential areas. Int J Appl Earth Obs Geoinf 12:352–374
Berberoglu S, Akin A (2009) Assessing different remote sensing techniques to detect land use/cover changes in the eastern Mediterranean. Int J Appl Earth Obs Geoinf 11(1):46–53
Bhagyanagar R, Kawal BM, Dwarakish GS, Surathkal S (2012) Land use/land cover change and urban expansion during 1983–2008 in the coastal area of Dakshina Kannada district, South India. J Appl Remote Sens 6:063576-1–063576-17
Bharath HA, Ramachandra TV (2013) Measuring urban sprawl in tier II cities of Karnataka, India Proc IEEE Global Humanitarian Technology Conference: South Asia Satellite; Aug 23-24; Kerala, India. https://doi.org/10.1109/GHTC-SAS.2013.6629939
Bharath HA, Ramachandra TV (2016) Visualization of urban growth pattern in Chennai using geoinformatics and spatial metrics. J Indian Soc Remote Sens 44:617–633
Bharath HA, Kumar U, Ramachandra TV (2009) Fusion of multi resolution remote sensing data for urban sprawl analysis. Proc COSMAR 2009; Nov 5–6. Indian Institute of Science, Bangalore
Bharath HA, Bharath S, Sreekantha S, Sanna Durgappa D, Ramachandra TV (2012) Spatial patterns of urbanization in Mysore: Emerging Tier II City in Karnataka. Proc NRSC User Interaction Meet- 2012; Feb 16–17; Hyderabad
Bharath HA, Vinay S, Ramachandra TV (2013) Prediction of land use dynamics in the rapidly Urbanising landscape using land change modeller. Proc International Conference on Advances in Computer Science; National Capital region, India, Dec 13-14
Bharath HA, Vinay S, Ramachandra TV (2014) Landscape dynamics modeling through integrated Markov, fuzzy-AHP and cellular automata. Proc International Geoscience and Remote Sensing Symposium; Jul 13-18; Quebec, Canada. https://doi.org/10.1109/IGARSS.2014.6947148
Bharath HA, Chandan MC, Vinay S, Ramachandra TV (2017) Modelling urban dynamics in rapidly urbanising Indian cities. Egypt J Remote Sens Space Sci 21:201–210
Bharath HA, Vinay S, Ramachandra TV (2018) Simulating urban growth by two state modelling and connected network. Model Earth Syst Environ 4:1297–1308
Bhat PA, Shafiq M, Mir AA, Ahmed P (2017) Urban sprawl and its impact on landuse/land cover dynamics of Dehradun City, India. Int J Sustain Built Environ 6:513–521
Bhatta B (2009a) Analysis of urban growth pattern using remote sensing and GIS: a case study of Kolkata, India. Int J Remote Sens 30:4733–4746. https://doi.org/10.1080/01431160802651967
Bhatta B (2009b) Modelling of urban growth boundary using geoinformatics. Int J Digit Earth 2:359–381. https://doi.org/10.1080/17538940902971383
Bhatta B (2010) Analysis of urban growth and sprawl from remote sensing data. Springer, Berlin/Heidelberg
Bhatta B, Saraswati S, Bandyopadhyay D (2010a) Urban sprawl measurement from remote sensing data. Appl Geogr 30:731–740
Bhatta B, Saraswati S, Bandyopadhyay D (2010b) Quantifying the degree-of freedom, degree of- sprawl, and degree-of-goodness of urban growth from remote sensing data. Appl Geogr 30:96–111
Black JT (1996) The economics of sprawl. Urban Land 55:52–53
Borana SL, Yadav SK, Parihar SK, Paturkar RT (2013) Integration of remote sensing & GIS for urban land use / cover change analysis of the Jodhpur city. Indian Cartographer XXXIII:184–189
Brueckner JK (2000) Urban sprawl: diagnosis and remedies. Int Reg Sci Rev 23(2):160–171
Brueckner Jan K (2001) Urban sprawl: lessons from urban economics. In: Gale WG, Pack JR (eds) Brookings-Wharton Papers on Urban Affairs. Brookings Institution Press, Washington, D.C., pp 65–89
Butsch C, Kumar S, Wagner PD et al (2017) Growing ‘smart’? Urbanization processes in the pune urban agglomeration. Sustainability 9:2335. https://doi.org/10.3390/su9122335
CBD Secretariat of the Convention on Biological Diversity (2012). Cities and biodiversity outlook- action and policy. Montreal, Canada p 64 https://wwwcbdint/authorities/doc/cbo-1/cbd-cbo1-book-fpdf Accessed 30 Dec 2018
Chandrasekar N, Sivasubramanian P, Soundranayagam JP (2010) Ecological consequences of rapid urban expansion: Tirunelveli. India Afr J Basic Appl Sci 2:167–176
Chao-lin G (2008) Review on major studies on urbanization in China. Urban Probl:12
Chowdhury PKR, Maithani S (2010) Monitoring growth of built-up areas in Indo-Gangetic plain using multi-sensor remote sensing data. J Indian Soc Remote Sens 38:291–300
Chowdhury PKR, Maithani S, Dadhwal VK (2012) Estimation of urban population in Indo-Gangetic Plains using night-time OLS data. Int J Remote Sens 33:2498–2515
Clifton K, Ewing R, Knaap G-J, Song Y (2008) Quantitative analysis of urban form: a multidisciplinary review. J Urban Des 1:17–45
Sierra Club (1999) The dark side of the American Dream: the costs and consequences of suburban sprawl. San Francisco. http://www.sierraclub.org .
Costa F, Dutt A, Laurence MC, Allen NG (1989) Urbanization in Asia: spatial dimensions and policy issues. University of Hawaii Press, Honolulu
Crane R (2000) The influence of urban form on travel: an interpretive review. J Plan Lit 15:3–23
Dadhich PN, Hanaoka S (2011) Spatio-temporal urban growth modeling of Jaipur, India. J Urban Technol 18:45–65
Dame J, Schmidt S, Müller J, Nüsser M (2019) Urbanisation and socio-ecological challenges in high mountain towns: insights from Leh (Ladakh), India. Landsc Urban Plan 189:189–199
Dasgupta A, Kumar U, Ramachandra TV (2009) Urban landscape analysis through spatial metrics. Proc International Conference on Infrastructure, Sustainable Transportation and Urban Planning; Oct 18-19; Bangalore, India
Deep S, Saklani A (2014) Urban sprawl modeling using cellular automata. Egypt J Remote Sens Space Sci 17:179–187
Deka J, Tripathi OP, Khan ML (2012) Urban growth trend analysis using Shannon entropy approach – a case study in North-East India. Int J Geomat Geosci 2:1062–1068
Deosthali V (2000) Impact of rapid urban growth on heat and moisture islands in Pune City, India. Atmos Environ 34:2745–2754
Dhali MK, Chakraborty M, Sahana M (2019) Assessing spatio-temporal growth of urban subcentre using Shannon’s entropy model and principle component analysis: a case from north 24 Parganas, lower Ganga River basin, India. Egypt J Remote Sens Space Sci 22:25–35
Dinda S, Das K, Chatterjee ND, Ghosh S (2019) Integration of GIS and statistical approach in mapping of urban sprawl and predicting future growth in Midnapore town, India. Model Earth Syst Environ 5:331–352
Dutta V (2013) Land use dynamics and peri-urban growth characteristics reflections on master plan and urban suitability from a sprawling north Indian City. Environ Urban ASIA 3:277–301
Dutta D, Rahman A, Kundu A (2015) Growth of Dehradun city: an application of linear spectral unmixing (LSU) technique using multi-temporal Landsat satellite data sets. Remote Sens Appl Soc Environ 1:98–111
Ermer K, Mohrmann R, Sukopp H (1994) Stadt und Umwelt. In: Buchwald K, Engelhardt W (eds) Band 12 des Handbuches “Umweltschutz – Grundlagen und Praxis”. Economica Verlag, Bonn, p 125
Ewing R (1994) Characteristics, causes, and effects of sprawl: a literature review. Environ Urban Issues 21:1–15
Farooq S, Ahmad S (2008) Urban sprawl development around Aligarh city: a study aided by satellite remote sensing and GIS. J Indian Soc Remote Sens 36:77–88
Fazal S (2000) Urban expansion and loss of agricultural land- a GIS based study of Saharanpur City, India. Environ Urban 12:133–149
Fazal S (2001) The need for preserving farmland: a case study from a predominantly agrarian economy (India). Landsc Urban Plan 55:1–13
Galster G, Hanson R, Ratcliffe MR, Wolman H, Coleman S, Freihage J (2001) Wrestling sprawl to the ground: defining and measuring an elusive concept. Hous Policy Debate 12:681–717
Ghosh S (2019) A city growth and land-use/land-cover change: a case study of Bhopal. India Model Earth Syst Environ 5:1569–1578. https://doi.org/10.1007/s40808-019-00605-y
Gibson J, Boe-Gibson G, Stichbury G (2015) Urban land expansion in India 1992–2012. Food Policy 56:100–113
Gilbert A, Hardoy J, Ramirez R (eds) (1982) Urbanization in contemporary Latin America: critical approaches to the analysis of urban issues. John Wiley and Sons, Chicester
Glaeser EL, Kahn ME (2004) Sprawl and urban growth. In: Henderson JV, Thisse JF (eds) Handbook of Regional and Urban Economics, vol 4, 1st edn. Elsevier, Amsterdam, pp 2481–2527 Chapter 56
Goel R, Guttikunda SK (2015) Role of urban growth, technology, and judicial interventions on vehicle exhaust emissions in Delhi for 1991–2014 and 2014–2030 periods. Environ Dev 14:6–21
Goldblatt R, You W, Hanson G, Khandelwal AK (2016) Detecting the boundaries of urban areas in India: a dataset for pixel-based image classification in Google earth engine. Remote Sens 8(634–1):634–628
Grimm NB, Faeth SH, Golubiewski NE, Redman CL, Wu J, Bai X, Briggs JM (2008) Global change and the ecology of cities. Science 319:756–760
Gupta DM, Munshi MK (1985) Urban change detection and land-use mapping of Delhi. Int J Remote Sens 6:529–534
Harvey RO, Clark WAV (1965) The nature and economics of urban sprawl. Land Econ 41(1):1–9
Herold M, Scepan J, Clarke KC (2002) The use of remote sensing and landscape metrics to describe structures and changes in urban land uses. Environ Plann A 34:1443–1458
Herold M, Couclelis H, Clarke KC (2005) The role of spatial metrics in the analysis and modeling of urban land use change. Comput Environ Urban Syst 29(4):369–399
Iyer SV, Mohan BK (2002) Urban landuse monitoring using neural network classification. Proc IEEE International Geoscience and Remote Sensing Symposium; Jun 24–28; Toronto, Canada: pp. 3124–3126
Iyer NK, Kulkarni S, Raghavaswamy V (2007) Economy, population and urban sprawl: a comparative study of urban agglomerations of Bangalore and Hyderabad, India using remote sensing and GIS techniques. Proc PRIPODE Workshop on Urban Population, Development and Environment Dynamics in developing countries; Jun 11-13; Nairobi, Kenya: pp. 1-37
Jaeger JAG, Bertiller R, Schwick C, Kienast F (2010) Suitability criteria for measures of urban sprawl. Ecol Indic 10(2):397–406
Jain GV, Sharma SA (2018) Spatio-temporal analysis of urban growth in selected small, medium and large Indian cities. Geocarto Int 34:887–908. https://doi.org/10.1080/10106049.2018.1450450
Jain K, Subbaiah YV (2007) Site suitability analysis for urban development using GIS. J Appl Sci 7:2576–2583
Jain AK, Hooda RS, Nath J, Manchanda ML (1991) Mapping and monitoring of urban landuse of Hisar town, Haryana using remote sensing techniques. J Indian Soc Remote Sens 19:125–134
Jain S, Kohli D, Rao RM, Bijker W (2011) Spatial metrics to analyse the impact of regional factors on pattern of urbanisation in Gurgaon, India. J Indian Soc Remote Sens 39:203–212
Jain M, Siedentop S, Taubenböck H, Namperumal S (2013) From suburbanization to counterurbanization? Investigating urban dynamics in the National Capital Region Delhi, India. Environ Urban ASIA 4:247–266
Jain G, Sharma S, Vyas A, Rajawat AS (2014) Characterizing multi-dimensionality of urban sprawl in Jamnagar, India using multi-date remote sensing data. Proc International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Technical Commission VIII Symposium; Dec 9–12; Hyderabad, India: Volume XL-8, pp. 761–766
Jain M, Dimri AP, Niyogi D (2016) Urban sprawl patterns and processes in Delhi from 1977 to 2014 based on remote sensing and spatial metrics approaches. Earth Interact 20(14–1):14–29
Jain RK, Jain K, Ali SR (2017) Remote sensing enabled urban growth analysis for Gurgaon from 1995 to 2015. Adv Comput Sci Tech 10:1745–1757
Jat MK, Garg PK, Khare D (2008a) Modelling of urban growth using spatial analysis techniques: a case study of Ajmer city (India). Int J Remote Sens 29:543–567
Jat MK, Garg PK, Khare D (2008b) Monitoring and modelling of urban sprawl using remote sensing and GIS techniques. Int J Appl Earth Obs Geoinf 10:24–43
Jat MK, Khare D, Garg PK, Shankar V (2009) Remote sensing and GIS-based assessment of urbanisation and degradation of watershed health. Urban Water J 6:251–263. https://doi.org/10.1080/15730620801971920
Jat MK, Choudhary M, Saxena A (2017) Application of geo-spatial techniques and cellular automata for modelling urban growth of a heterogeneous urban fringe. Egypt J Remote Sens Space Sci 20:223–241
Jha R, Singh VP, Vatsa V (2008) Analysis of urban development of Haridwar, India, using entropy approach. KSCE J Civ Eng 12:281–288
Johnson M (2001) Environmental impacts of urban sprawl: a survey of the literature and proposed research agenda. Environ Plan A 33:717–735
Kamini J, Jayanthi SC, Raghavswamy V (2006) Spatio-temporal analysis of land use in urban Mumbai using multi-sensor satellite data and GIS techniques. J Indian Soc Remote Sens 34:385–396
Kantakumar LN, Kumar S, Schneider K (2016) Spatiotemporal urban expansion in Pune metropolis, India using remote sensing. Habitat Int 51:11–22
Kantakumar LN, Kumar S, Schneider K (2019) SUSM: a scenario-based urban growth simulation model using remote sensing data. Eur J Remote Sens 52(sup2):26–41
Kit O, Lüdeke M, Reckien D (2012) Texture-based identification of urban slums in Hyderabad, India using remote sensing data. Appl Geogr 32:660–667
Kuchay NA, Bhat MS (2014) Analysis and simulation of urban expansion of Srinagar City trans. Inst. Ind Geogr 36:109–121
Kumar A, Pandey AC (2013) Spatio-temporal assessment of urban environmental conditions in Ranchi township, India using remote sensing and geographical information system techniques. Int J Urban Sci 17:117–141
Kumar JAV, Pathan SK, Bhanderi RJ (2007) Spatio-temporal analysis for monitoring urban growth–a case study of Indore city. J Indian Soc Remote Sens 35:11–20
Kumar M, Mukherjee N, Sharma GP, Raghubanshi AS (2010) Land use patterns and urbanization in the holy city of Varanasi, India: a scenario. Environ Monit Assess 67:417–422
Kumar A, Pandey AC, Hoda N, Jeyaseelan AT (2011a) Evaluation of urban sprawl pattern in the tribal-dominated cities of Jharkhand state, India. Int J Remote Sens 32:7651–7675
Kumar A, Pandey AC, Hoda N, Jeyaseelan AT (2011b) Evaluating the long-term urban expansion of Ranchi urban agglomeration, India using geospatial technology. J Indian Soc Remote Sens 39:213–224
Kumar U, Mukhopadhyay C, Ramachandra TV (2014) Cellular automata calibration model to capture urban growth. Bol Geol Min 125:285–299
Lakra K, Sharma D (2019) Geospatial assessment of urban growth dynamics and land surface temperature in Ajmer region, India. J Indian Soc Remote Sens 47:1073–1089
Lal K, Kumar D, Kumar A (2017) Spatio-temporal landscape modeling of urban growth patterns in Dhanbad urban agglomeration, India using geoinformatics techniques. Egypt J Remote Sens Space Sci 20:91–102
Lata KM, Prasad VK, Badarinath VS et al. (2009) Measuring urban sprawl: a case study of hyderabad. Discussion Paper, Geographic Information Science Development Applications 2009. http://www.gisdevelopment.net Accessed 15 Jan 2019
Lilly Rose A, Devadas MD. (2009). Analysis of land surface temperature and land use/land cover types using remote sensing imagery - a case in Chennai City, India. Proc The seventh International Conference on Urban Climate; Jun 29-Jul 3; Yokohama, Japan: pp. 1-4
Liu Z, Liu S, Qi W, Jin H (2018) Urban sprawl among Chinese cities of different population sizes. Habitat Int 79:89–98. https://doi.org/10.1016/j.habitatint.2018.08.001
Maithani S (2009) A neural network based urban growth model of an Indian City. J Indian Soc Remote Sens 37:363–376. https://doi.org/10.1007/s12524-009-0041-7
Maithani S (2010) Cellular automata based model of urban spatial growth. J Indian Soc Remote Sens 38:604–610
Maithani S, Arora MK, Jain RK (2010) An artificial neural network based approach for urban growth zonation in Dehradun city, India. Geocarto Int 25:663–681
Maithani S, Gupta K, Siddiqui A, Begum A, Deshmukh A, Kumar P (2019) Urban settlement pattern and growth dynamics in northwest Himalaya. In: Navalgund R, Kumar A, Nandy S (eds) Remote sensing of Northwest Himalayan ecosystems. Springer, Singapore, pp 433–453
Maktav D, Erbek FS, Jrgens C (2005) Remote sensing of urban areas. Int J Remote Sens 26:655–659
Mallupattu PK, Reddy J, Reddy S (2013) Analysis of land use/land cover changes using remote sensing data and GIS at an urban area, Tirupati, India. Sci World J 2013:1–6
Manonmani R, Prabaharav S, Vidhya R, Ramalingam M (2012) Application of GIS in urban utility mapping using image processing techniques. Geo-spatial Inf Sci 15:271–275
McCarthy MP, Best MJ, Betts RA (2010) Climate change in cities due to global warming and urban effects. Geophys Res Lett 37:L09705
Mishra VN, Rai PK (2016) A remote sensing aided multi-layer perceptron-Markov chain analysis for land use and land cover change prediction in Patna district (Bihar), India. Arab J Geosci 9:249
Mishra M, Mishra K, Subudhi A.; and Phil, M (2018) Urban sprawl mapping and land use change analysis using remote sensing and GIS: case study of Bhubaneswar city, Orissa, Proce Geo-Spatial World Forum; Jan 15–19; Hyderabad.
Mitra C, Shepherd JM, Jordan T (2011) On the relationship between the premonsoonal rainfall climatology and urban land cover dynamics in Kolkata city, India. Int J Climatol 32:1443–1454
Moghadam HS, Helbich M (2013) Spatiotemporal urbanization processes in the megacity of Mumbai, India: a Markov chains-cellular automata urban growth model. Appl Geogr 40:140–149
Moghadam HS, Helbich M (2015) Spatiotemporal variability of urban growth factors: a globaland local perspective on the megacity of Mumbai. Int J Appl Earth Obs Geoinf 35:187–198
Mohan R (1985) Urbanization in India’s future. Popul Dev Rev 11:619–645
Mohan M (2010) Geospatial information for urban sprawl planning and policies implementation in developing country’s NCR region: a study of NOIDA city, India, vol 11–16. Proc FIG Congress 2010; Apr, Sydney, pp 1–15
Mohan M, Kandya A (2015) Impact of urbanization and land-use/land-cover change on diurnal temperature range: a case study of tropical urban airshed of India using remote sensing data. Sci Total Environ 506–507:453–465
Mohan M, Pathan SK, Narendrareddy K, Kandya A, Pandey S (2011) Dynamics of urbanization and its impact on land-use/land-cover: a case study of megacity Delhi. J Environ Prot 2:1274–1283
Mohapatra SN, Pani P, Sharma M (2014) Rapid urban expansion and its implications on geomorphology: a remote sensing and GIS based study. Geogr J 2014:361459–1–361459–10
Munshi T, Zuidgeest M, Brussel M, van Maarseveen M (2014) Logistic regression and cellular automata-based modelling of retail, commercial and residential development in the city of Ahmedabad, India. Cities 39:68–86
Musa SI, Hashim M, Reba MN (2017) A review of geospatial-based urban growth models and modelling initiatives. Geocarto Int 32:813–833
Naqshbandi Z, Fayaz S, Bhat MS (2016) Urban growth and its impact on land transformation in medium sized urban centres of Kashmir Valley. IOSR J Hum Soc Sci 21:46–51
Nath V (1986) Urbanization in India: review and prospects. Econ Polit Wkly 21:339–352
Niebergall S, Loew A, Mauser W (2007) Object-oriented analysis of very high-resolution QuickBird data for mega city research in Delhi, India. Proc Urban Remote Sensing Joint Event 2007; Apr 11–13; Paris, France: pp. 1–8.
Padmanaban R, Bhowmik AK, Cabral P, Zamyatin A, Almegdadi O, Wang S (2017) Modelling urban sprawl using remotely sensed data: a case study of Chennai City, Tamilnadu. Entropy 19(163–1):163–114
Pandey B, Seto KC (2015) Urbanization and agricultural land loss in India: comparing satellite estimates with census data. J Environ Manag 148:53–66
Pandey AC, Kumar A, Jeyaseelan AT (2013a) Urban built-up area assessment of Ranchi Townshi using Cartosat-I stereopairs satellite images. J Indian Soc Remote Sens 41:141–155
Pandey B, Joshi PK, Seto KC (2013b) Monitoring urbanization dynamics in India using DMSP/OLS night time lights and SPOT-VGT data. Int J Appl Earth Obs Geoinf 23:49–61
Pandey B, Joshi PK, Singh TP, Joshi A (2019) Modelling spatial patterns of urban growth in pune metropolitan region, India. In: Kumar P, Rani M, Chandra Pandey P, Sajjad H, Chaudhary B (eds) Applications and Challenges of Geospatial Technology. Springer, Cham, pp 181–203
Pathan SK, Jothimani Kumar DS, Pendharkar SP (1989) Urban land use mapping and zoning of Bombay metropolitan region using remote sensing data. J Indian Soc Remote Sens 17:11–22
Pathan SK, Shukla VK, Patel RG, Patel BR, Mehta KS (1991) Urban land use mapping: a case study of Ahmedabad city and its environs. J Indian Soc Remote Sens 19:95–112
Pathan SK, Sastry SVC, Dhinwa PS, Rao M, Majumdar KL, Kumar DS et al (1993) Urban growth trend analysis using GIS techniques—a case study of the Bombay metropolitan region. Int J Remote Sens 14:3169–3179
Patino JE, Duque JC (2013) A review of regional science applications of satellite remote sensing in urban settings. Comput Environ Urban Syst 37:1–17
Poyil RP, Misra AK (2015) Urban agglomeration impact analysis using remote sensing and GIS techniques in Malegaon city, India. Int J Sustain Built Environ 4:136–144
Punia M, Singh L (2012) Entropy approach for assessment of urban growth: a case study of Jaipur, India. J Indian Soc Remote Sens 40:231–244
Rahman A (2007) Application of remote sensing and GIS techniques for urban environmental management and sustainable development of Delhi, India. In: Netzband M, Stefanov WL, Redman C (eds) Applied remote sensing for urban planning, governance and sustainability. Springer-Verlag, Berlin, Heidelberg, pp 165–197
Rahman A, Netzband M, Alka S, Javed M (2009) An assessment of urban environmental issues using remote sensing and GIS techniques an integrated approach: a case study: Delhi, India. In: de Sherbinin A, Rahman A, Barbieri A, Fosto JC, Zhu Y (eds) Urban Population-Environment Dynamics in the Developing World: Case Studies an Lessons Learned, Paris, International Cooperation in National Research in Demography (CICRED), pp 181–211
Rahman A, Aggarwal SP, Netzband M, Fazal S (2011a) Monitoring urban sprawl using remote sensing and GIS techniques of a fast growing urban centre, India. IEEE J Sel Top Appl Earth Obs Remote Sens 4:56–64
Rahman A, Kumar Y, Fazal S, Bhaskaran S (2011b) Urbanization and quality of urban environment using remote sensing and GIS techniques in East Delhi-India. J Geogr Inf Syst 3:61–83
Rahman A, Kumar S, Fazal S, Siddiqui MA (2012) Assessment of land use/land cover change in the north-west district of Delhi using remote sensing and GIS techniques. J Indian Soc Remote Sens 40:689–697
Raja RAA, Anand V, Kumar AS, Maithani S, Kumar VA (2013) Wavelet based post classification change detection technique for urban growth monitoring. J Indian Soc Remote Sens 41:35–43
Rajeshwari D (2006) Management of the urban environment using remote sensing and geographic information systems. J Hum Ecol 20:269–277
Ramachandra TV, Bharath HA (2013) Understanding urban sprawl dynamics of Gulbarga - Tier II city in Karnataka through spatio-temporal data and spatial metrics. Int J Geomat Geosci 3:388–404
Ramachandra TV, Kumar U (2009) Geoinformatics for urbanisation and urban sprawl pattern analysis. In: Joshi PK, Pani P, Mohapatra SN (eds) Geoinformatics for Natural Resource Management, vol 19. Nova Science Publishers, New York, pp 235–272
Ramachandra TV, Kumar U (2010) Greater Bangalore: emerging urban heat island. GIS Dev 14:86–104 http://www.gisdevelopment.net/application/urban/sprawl/Greater-Bangalore-Emerging-Urban-Heat-Island.htm . Accessed 10 Jan 2019
Ramachandra TV, Bharath HA, Durgappa D (2012) Insights to urban dynamics through landscape spatial pattern analysis. Int J Appl Earth Obs Geoinf 18:329–343
Ramachandra TV, Bharath HA, Vinay S (2013a) Land use land cover dynamics in a rapidly urbanising landscape. SCIT J XIII:1–12
Ramachandra TV, Bharath HA, Vinay S, Joshi NV, Kumar U, Rao KV (2013b) Modelling urban revolution in Greater Bangalore, India. Proc the 30th Annual In-House Symposium on Space Science and Technology; Nov 7–8; Bangalore, India.
Ramachandra TV, Bharath HA, Sowmyashree MV (2013c) Analysis of spatial patterns of urbanisation using geoinformatics and spatial metrics. Theor Empir Res Urban Manag 8:5–24
Ramachandra TV, Bharath HA, Sowmyashree MV (2014a) Urban structure in Kolkata: metrics and modelling through geo-informatics. Appl Geomat 6:229–244
Ramachandra TV, Bharath HA, Sowmyashree MV (2014b) Urban footprint of Mumbai – the commercial capital of India. J Urban Reg Anal 6:71–94
Ramachandra TV, Bharath HA, Barik B (2014c) Urbanisation pattern of incipient mega region in India. TeMA J Land Use Mobil Environ 7:83–100
Ramachandra TV, Bharath HA, Sowmyashree MV (2014d) Monitoring spatial patterns of urban dynamics in Ahmedabad city, textile hub of India. Spatium Int Rev 31:85–91
Ramachandra TV, Bharath HA, Sowmyashree MV (2015) Monitoring urbanization and its implications in a mega city from space: spatiotemporal patterns and its indicators. J Environ Manag 148:67–81
Ramachandra TV, Sellers JM, Bharath HA, Vinay S (2019) Modelling urban dynamics along two major industrial corridors in India. Spat Inf Res 27:37–49. https://doi.org/10.1007/s41324-018-0217-8
Ranpise R, Kadam A, Gaikwad S, Meshram D (2016) Appraising spatio-temporal shifting of urban growth center of Pimpri-Chinchwad Industrialized City, India Using Shannon Entropy Method. Curr Urban Stud 4:343–355
Rogers P (1994) Hydrology and water quality. In: Mayer WB, Turner BL II (eds) Changes in Land Use and Land Cover: A Global Perspective. Cambridge University Press, Cambridge, pp 231–257
Sahani S, Raghavaswamy V (2018) Analyzing urban landscape with City Biodiversity Index for sustainable urban growth. Environ Monit Assess 190(471–1):471–418
Saini V, Tiwari RK (2017) Effect of urbanization on land surface temperature and NDVI: a case study of Dehradun, India. Proc 38th Asian Conference on Remote Sensing (ACRS-2017); Oct 23–27; New Delhi, India. Available online: http://www.a-a-rs.org/acrs/index.php/acrs/acrs-overview/proceedings-1?view=publication&task=show&id=2998 . Accessed 12 Dec 2018
Saini V, Tiwari RK (2018) An object-based image analysis approach for determining the pattern of urban growth in the first planned city of India. Proc Remote Sensing Technologies and Applications in Urban Environments III; SPIE Remote Sensing; Sept 10–13; Berlin, Germany: Volume 10,793, p. 107930 T-1 – 107,930 T-8. doi: https://doi.org/10.1117/12.2502077 .
Saini V, Tiwari RK (2019) Remote sensing based time-series analysis for monitoring urban sprawl: a case study of Chandigarh capital region. J Geom 13(1):94–97
Sajjad H, Iqbal M (2012) Impact of urbanization on land use/ land cover of Dudhganga watershed of Kashmir Valley, India. Int J Urban Sci 16:321–339
Samad T, Lozano- Gracia N, Panman A (2012) Colombia urbanization review: amplifying the gains from the urban transition. In: Directions in development; countries and regions. World Bank, 2012, Washington, DC https://openknowledge.worldbank.org/handle/10986/11955
Schneider A, Woodcock C (2008) Compact, dispersed, fragmented, extensive? A comparison of urban expansion in twenty-five global cities using remotely sensed, data pattern metrics and census information. Urban Stud 45:659–692
Seto KC, Fragkias M (2005) Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics. Landsc Ecol 20(7):871–888
Seto KC, Shepherd M (2009) Global urban land-use trends and climate impacts. Curr Opin Environ Sustain 1:89–95
Settur B, Bharath HA, Durgappa DS, Ramachandra TV (2012) Landscape dynamics through spatial metrics. Proc 14th Annual International Conference and Exhibition on Geospatial Information Technology and Applications; Feb 7–9; Gurgaon, India: pp. 1–25.
Sharma R, Joshi PK (2013) Monitoring urban landscape dynamics over Delhi (India) using remote sensing (1998–2011) inputs. J Indian Soc Remote Sens 41:641–650
Sharma R, Joshi PK (2016) Mapping environmental impacts of rapid urbanization in the National Capital Region of India using remote sensing inputs. Urban Clim 15:70–82
Sharma L, Pandey PC, Nathawat MS (2012) Assessment of land consumption rate with urban dynamics change using geospatial techniques. J Land Use Sci 7:135–148
Sharma R, Ghosh A, Joshi PK (2013) Spatio-temporal footprints of urbanization in Surat, the Diamond City of India (1990–2009). Environ Monit Assess 185:3313–3325
Sharma R, Chakraborty A, Joshi PK (2015) Geospatial quantification and analysis of environmental changes in urbanizing city of Kolkata (India). Environ Monit Assess 187(1):4206–4212
Shaw R, Das A (2018) Identifying peri-urban growth in small and medium towns using GIS and remote sensing technique: a case study of English Bazar Urban Agglomeration, West Bengal, India. Egypt J Remote Sens Space Sci 21:159–172
Shetty P J, Shashikala V, Ramachandra TV (2010) Urban footprint dynamics in Indian metropolis. Proc Conference on Infrastructure, Sustainable Transportation and Urban Planning; Oct 18–20; Bangalore, India.
Shukla A, Jain K (2019) Modeling urban growth trajectories and spatiotemporal pattern: a case study of Lucknow City, India. J Indian Soc Remote Sens 47:139–152
Siddiqui A, Siddiqui A, Maithani S, Jha AK, Kumar P, Srivastav SK (2018) Urban growth dynamics of an Indian metropolitan using CA Markov and Logistic Regression. Egypt J Remote Sens Space Sci 21:229–236
Singh N, Kumar J (2012) Urban growth and its impact on cityscape: a geospatial analysis of Rohtak City, India. J Geogr Inf Syst 4:12–19
Sivakumar V (2014) Urban mapping and growth prediction using remote sensing and GIS techniques, Pune, India. Proc International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 ISPRS Technical Commission VIII Symposium; Dec 9–12; Hyderabad, India: Volume XL-8.
Sokhi BS, Sharma ND, Uttartwar PS (1989) Satellite remote sensing in urban sprawl mapping and monitoring a case study of Delhi. J Indian Soc Remote Sens 17:57–69
Srinivasan S (2005) Linking land use and transportation in a rapidly urbanizing context: a study in Delhi, India. Transportation 32:87–104
Strohschön R, Wiethoff K, Baier K, Lu L, Bercht A, Wehrhahn R, Azzam R (2013) Land use and Water Quality in Guangzhou, China: a survey of ecological and Social Vulnerability in Four Urban Units of the Rapidly Developing Megacity. Int J Environ Res 7:343–358
Sudhira HS, Ramachandra TV (2007) Characterizing urban sprawl from remote sensing data and using landscape metrics. Proceedings of 10th International Conference on Computers in Urban Planning and Urban Management; Jul 11–13; Iguassu Falls, PR Brazil. Available online: http://eprints.iisc.ernet.in/11,834/ . Accessed 10 Jan 2019
Sudhira HS, Ramachandra TV, Karthik RS, Jagadish KS (2003a) Urban growth analysis using spatial and temporal data. J Indian Soc Remote Sens 31:29–39
Sudhira HS, Ramachandra TV, Jagadish KS (2003b) Urban sprawl pattern recognition and modelling using GIS. 2003b. https://www.geospatialworld.net/article/urban-sprawlpattern-recognition-and-modeling-using-gis/ Accessed 13 Jan 2019.
Sudhira HS, Ramachandra TV, Jagadish KS (2004) Urban sprawl: metrics, dynamics and modelling using GIS. Int J Appl Earth Obs Geoinf 5:29–39
Sundersingh SD (1990) Effect of heat islands over urban Madras and measures for its mitigation. Energ Buildings 15–16:245–252
Suribabu CR, Bhaskar J, Neelakantan TR (2012) Land use/cover change detection of Tiruchirapalli City, India, using integrated remote sensing and GIS tools. J Indian Soc Remote Sens 40:699–708
Taragi RCS, Pundir PPS (1997) Use of satellite data in urban sprawl and land use studies - a case of Lucknow city. J Indian Soc Remote Sens 25:113–118
Taubenböck H, Pengler I, Schwaiger B, Cypra S, Hiete M, Roth A (2007) A multiscale urban analysis of the Hyderabad Metropolitan area using remote sensing and GIS. Proc Urban Remote Sensing Joint Event, Paris, France: pp. 6. https://doi.org/10.1109/URS.2007.371823
Taubenböck H, Wegmann M, Berger C, Breunig M, Roth A, Mehl H (2008) Spatiotemporal analysis of Indian Mega cities. Proc International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, China: Volume XXXVII. Part B2.
Taubenböck H, Wegmann M, Roth A, Mehl H, Dech S (2009) Urbanization in India – spatiotemporal analysis using remote sensing data. Comput Environ Urban Syst 33:179–188
Taubenböck H, Esch T, Felbier A, Weisner M, Roth A, Dech S (2012) Monitoring urbanization in mega cities from space. Remote Sens Environ 117:162–176
Tewolde MG, Cabral P (2011) Urban sprawl analysis and modelling in Asmara, Eritrea. Remote Sens 3(10):2148–2165
Tiwari A, Mishra PK (2019) A study of urban-landscape characteristics of Bhopal City (India) in a geo-spatial environment. In: Sharma VR, Chandrakanta (eds) Making Cities Resilient: The Urban Book Series. Springer, Cham, pp 207–226
Torrens PM (2008) A toolkit for measuring sprawl. Appl Spatial Anal Policy 1:5–36
Tripathy P, Kumar A (2019) Monitoring and modelling spatio-temporal urban growth of Delhi using Cellular Automata and geoinformatics. Cities 90:52–63
UNFPA, (United Nations Population Fund) (2016) Urbanization. https://www.unfpa.org/urbanization . Accessed 30 Jul 2018.
United Nations (2014) World urbanization prospects: the 2014 Revision Highlights. Department of Economic and Social Affairs, New York. https://issuu.com/unpublications/docs/worl0064urbanizationprospects2014h . Accessed 30 Dec 2018.
United Nations (2016) Department of Economic and Social Affairs, Population Division (2016). The World’s Cities in 2016 – Data Booklet (ST/ESA/ SER.A/392) https://www.un.org/en/development/desa/population/publications/pdf/urbanization/the_worlds_cities_in_2016_data_booklet.pdf . Accessed. 30 Dec 2018.
United Nations, (2017) World population prospects: the 2017 revision. Department of Economic and Social Affairs, New York. https://www.un.org/development/desa/publications/world-populationprospects-the-2017-revision.html . Accessed 30 Dec 2018.
United Nations, (2018a) World Urbanization Prospects 2018. Department of Economic and Social Affairs/Population division, New York. https://esa.un.org/unpd/wup . Accessed 30 Dec 2018
United Nations, (2018b) World Urbanization Prospects: the 2018 Revision. Department of Economic and Social Affairs, Population Division (2018). https://population.un.org/wup/Country-Profiles/ . Accessed 30 Dec 2018.
Vani M, Prasad PRC (2019) Assessment of spatio- temporal changes in land use and land cover, urban sprawl, and land surface temperature in and around Vijayawada city, India. Environ Dev Sust. https://doi.org/10.1007/s10668-019-00335-2
Verma RK, Kumari S, Tiwary RK (2009) Application of remote sensing and GIS technique for efficient urban planning in India. Proc Geomatrix Conference, IIT Bombay, India. http://www.csre.iitb.ac.in/~csre/conf/wp-content/uploads/fullpapers/OS4/OS413.pdf . Accessed 12 Jan 2019.
Wagner PD, Bhallamudi SM, Narasimhan B, Kantakumar LN, Sudheer KP, Kumar S, Schneider K, Fiener P (2016) Dynamic integration of land use changes in a hydrologic assessment of a rapidly developing Indian catchment. Sci Total Environ 539:153–164
Wakode HB, Baier K, Jha R, Azzam R (2014) Analysis of urban growth using Landsat TM/ETM data and GIS—a case study of Hyderabad, India. Arab J Geosci 7:109–121
Wang HJ, He QQ, Liu XJ, Zhuang YH, Hong S (2012) Global urbanization research from 1991 to 2009: a systematic research review. Landsc Urban Plan 104:299–309
Wentz EA, Nelson D, Rahman A, Stefanov WL, Roy SS (2008) Expert system classification of urban land use/cover for Delhi, India. Int J Remote Sens 29:4405–4427
Wilson B, Chakraborty A (2013) The Environmental impacts of sprawl: emergent themes from the past decade of planning research. Sustainability 5:3302–3327
World Cities Report 2016: Urbanization and Development - Emerging Futures. UN-Habitat https://unhabitat.org/sites/default/files/download-manager-files/WCR-2016-WEB.pdf . Accessed 30 Dec 2018
World development report 1984 (English). World Development Indicators; World Development Report Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/496471468156899142/World-development-report-1984 . Accessed 31 Dec 2018
World Economic Forum (WEF) (2016) The opportunity to build tomorrow’s cities. https://www.weforum.org/agenda/2016/04/urbanization-dr-joan-clos/ . Accessed 30 Dec 2018
Yagoub MM, Al Bizreh AA (2014) Prediction of land cover change using Markov and cellular automata models: case of Al-Ain, UAE, 1992–2030. J Indian Soc Remote Sens 42(3):665–671
Download references
Acknowledgements
The authors are thankful to anonymous reviewers for their valuable comments, insights and suggestions which have really improved the manuscript.
The first author received financial assistantship in the form of National Post-Doctoral Fellowship [Grant No.: PDF/2017/002647] from Science and Engineering Research Board (SERB), Govt. of India.
Author information
Authors and affiliations.
Department of Civil Engineering, Indian Institute of Technology Ropar, Nangal road, Rupnagar, Punjab, 140001, India
Varinder Saini & Reet Kamal Tiwari
You can also search for this author in PubMed Google Scholar
Contributions
Varinder Saini determined the paper’s focus, searched and reviewed the literature and drafted the article. Reet Kamal Tiwari provided valuable inputs on the analyses and discussions.
Corresponding author
Correspondence to Varinder Saini .
Additional information
Responsible Editor: Biswajeet Pradhan

Rights and permissions
Reprints and Permissions
About this article
Cite this article.
Saini, V., Tiwari, R.K. A systematic review of urban sprawl studies in India: a geospatial data perspective. Arab J Geosci 13 , 840 (2020). https://doi.org/10.1007/s12517-020-05843-4
Download citation
Received : 18 September 2019
Accepted : 12 August 2020
Published : 22 August 2020
DOI : https://doi.org/10.1007/s12517-020-05843-4
Share this article
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
- Urban sprawl
- Urbanization
- Urban growth
- Remote sensing and GIS
Advertisement
- Find a journal
- Publish with us
- Hispanoamérica
- Work at ArchDaily
- Terms of Use
- Privacy Policy
- Cookie Policy
Academia.edu no longer supports Internet Explorer.
To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser .
Enter the email address you signed up with and we'll email you a reset link.
- We're Hiring!
- Help Center

ROLE OF URBAN PLANNING IN ACHIEVING SDG 11 IN INDIA

2020, National Congress on Town and Country Planners India
Most most relevant SDG to urban planning is SDG 11: Make cities and human settlements inclusive, safe, resilient and sustainable. Role of urban planning in achieving this SDG is focus of this paper. It describes planning initiatives in urban missions. This is followed by specific discussion on monitoring the SDG with specific reference to potential role of urban planners in this process. The final section suggests a way forward.
Related Papers
Alok Kumar Mishra
Both research and practice suggest that inclusionary zoning is a desirable way of creating affordable housing and workplaces for the urban poor and fostering social inclusion by capturing resources created through the marketplace. It works, if designed well. It can be a profound means of securing affordable housing for the low income population within new private market residential developments. However, while urban planning in India has tended to be exclusionary, inclusionary zoning has not been adopted as a paradigm excepting in Gujarat. It is in this context that the paper aims at drawing lessons from theoretical and empirical research for designing an inclusionary zoning and housing programmes to achieve the goals of Housing for All Mission – Prime Minister’s Awas Yojana (PMAY). The findings of this research suggest that the inclusionary zoning programmes can operate well when urban land and housing markets are booming. New developments must pay for the impacts they create including those for affordable housing. 1

World Symposium on Sustainability Science and Research: Implementing the UN Sustaina-ble Development Goals, Manchester, United Kingdom.
Ismaila R Abubakar , Yusuf Aina
The recent transition from millennium development goals (MDGs) to sustainable development goals (SDGs) raises issues about the extent to which developing countries have been able to achieve the MDGs and how prepared are they for the challenges of meeting the targets of the SDGs. Nigeria, with a population of 182 million people (about half living in urban areas), is the most populous country in Africa and seventh in the world, and by 2050 the UN projected the population to reach about 400 million, thus becoming the third largest country in the world. This paper examines Nigeria's prospects of achieving the SGDs, especially SDG 11 that aims to 'make cities and human settlements inclusive, safe, resilient and sustainable.' This research employs desk study methodology where data were collected from secondary sources, including official reports. With examples from some Nigerian States, the paper specifically highlights the extent to which the country has achieved MDG 7, 'ensure environmental sustainability,' and the challenges it faced, and then provides an analysis of the level of Nigeria's preparedness in meeting the SDG 11, considering its current urbanization, financial and security challenges. The paper then concludes with some recommendations on the way forward.
Alice Siragusa
Aromar Revi
Getting Started with the SDGs in Cities outlines how cities can get started with implementing the Sustainable Development Goals (SDGs) in cities and human settlements. Effective and decisive action on sustainable development at the local level, within all cities and human settlements, is crucial to the success of Agenda 2030. Despite the key role of local authorities in SDG implementation, there is very little guidance material currently available on how to adapt the global goals to the local level. The SDG Cities Guide aims to fill this knowledge-gap, and suggest how city leaders, local practitioners and policy makers can use the SDGs to guide on the-ground planning and development.
Migration in the 2030 agenda
Ludvik Girard
Out-Of-The Box 2018 Conference
Antony K Cooper
South Africa's commitment to meeting the Sustainable Development Goal (SDG) 11, "Make cities and human settlements inclusive, safe, resilient and sustainable", requires the country to have an understanding of the range of possible, likely and preferred urban futures. With concepts such as digital cities, smart cities, smart infrastructure, smart places and urban resilience, it is evident that there has been some consideration of cities and infrastructure of the future. However, little is known about urban futures at a neighbourhood level. Therefore, the idea of investigating possible urban futures provides an opportunity for exploring the implications of the global forces of change and urban issues that are shaping not only cities, but neighbourhoods as well. The "Fourth Industrial Revolution" and "Industry 4.0" are labels being applied now to the era of cyber-physical systems that go beyond mere automation, with industries and systems that are decentralized but integrated and transparent, self-optimizing, self-configuring and self-diagnosing. It encompasses concepts such as smart factories, the Internet of things, and highly-flexible mass customization. Broadly, the Third Industrial Revolution was then driven by computers, the Second by electricity and the First by steam power. Whether hyperbole or a fad or a black swan or the natural evolution of automation or a paradigm shift or even a new opportunity for developing countries to leapfrog past the developed world, what are the implications of the Fourth Industrial Revolution for human settlements? What is needed by cities, towns, neighbourhoods and dwellings to benefit from Industry 4.0? Will Industry 4.0 benefit only human settlements that are well resourced and populated by the rich and well-educated, or can Industry 4.0 actually benefit impoverished communities? This paper considers the neighbourhood of the future, or Neighbourhood 4.0. Our research aims at identifying and understanding the neighbourhoods of the future, because they are unlikely to face the same challenges neighbourhoods face now.
Jacqueline Klopp , Danielle Petretta
Garima Jain , Doris Ombara , Doris Ombara
AbStrAct The campaign for the inclusion of a specifically urban goal within the United Nations' Sustainable Development Goals (SDGs) was challenging. Numerous divergent interests were involved, while urban areas worldwide are also extremely heterogeneous. It was essential to minimize the number of targets and indicators while still capturing critical urban dimensions relevant to human development. It was also essential to test the targets and indicators. This paper reports the findings of a unique comparative pilot project involving co-production between researchers and local authority officials in five diverse secondary and intermediate cities: Bangalore (Bengaluru), India; Cape Town, South Africa; Gothenburg, Sweden; Greater Manchester, United Kingdom; and Kisumu, Kenya. Each city faced problems in providing all the data required, and each also proposed various changes to maximize the local relevance of particular targets and indicators. This reality check provided invaluable inputs to the process of finalizing the urban SDG prior to the formal announcement of the entire SDG set by the UN Secretary-General in late September 2015.
Agung Widiyantoro
Baltimore’s Sustainable Future: Localizing the UN Sustainable Development Goals, Strategies and Indicators
Ivan Sascha Sheehan
Report Prepared for the USA Sustainable Cities Initiative
RELATED PAPERS
Engr. MD. ANISUR RAHMAN ~ TiTU, M.Sc(2nd)., FIEB
Cid Blanco Jr
oswar mungkasa
Fernando Murillo
Uchita de Zoysa
David Satterthwaite
Dr Shivani Bhardwaj , Rahul Banerjee
nischal baaniya
International Encyclopedia of Human Geography
Linda J Peake
Alice Siragusa , Paola Proietti
Aromar Revi , Garima Jain
Andrea Costafreda
Dr. Swati Singh
Esuna Dugarova
Abdullah Al Zabir
Molly Benton Schneider
Manoj Kumar Teotia
Getachew Sahle
International Journal of Environmental Research and Public Health
Jose Manuel Diaz-Sarachaga
Oliver Mtapuri
Journal of Sustainability Research
Sherif Goubran
TEACHING THE SUSTAINABLE DEVELOPMENT GOALS
rajeswari N gorana
SPRS International Journal of Geo-Information
João Porto de Albuquerque
International Journal of Urban Sustainable Development
Sandra Valencia , Sylvia Croese , MICHAEL OLOKO , Nick Taylor Buck
Baseline Report
Daphné Reguiessé
Dr. AZMIZAM ABDUL RASHID
Manny Patole
Sri Lanka Stakeholder SDG Platform
Indian Institute for Human Settlements
Pooja Vincia D'Souza
Four Years of SDGs in Bangladesh Non-State Actors as Delivery Partners Musta zur Rahman
Khokon S U I T E N Murmu
Victor Oluwatosin Ajayi
Eugenie L Birch
RELATED TOPICS
- We're Hiring!
- Help Center
- Find new research papers in:
- Health Sciences
- Earth Sciences
- Cognitive Science
- Mathematics
- Computer Science
- Academia ©2023

IMAGES
VIDEO
COMMENTS
approach towards planning of cities and towns in India. The state of human settlements could become a silent crisis in motion. We need to urgently and significantly ramp up the present cumulative . capacity of urban planning in the country to avoid the creeping and silent crisis that is overtaking human settlements.
As citizens are the ultimate beneficiaries of urban development ( Samarajiva et al., 2015 ), this paper presents two cases: Magarpatta City (Maharashtra) and Auroville (Tamil Nadu) as examples of participatory urbanization.
Students of urban India have long missed a basic primer illustrating the country's rich and varied city planning experiences in the post-independence period.
Socio-economic imperatives are the key factors behind the rapid urbanization in India. Livelihood, security and prosperity are some prime movers. Ironically, cities, which on the one hand are...
This paper explores the conceptualization of Urban Green Space (UGS) within India's urban planning process. In doing so, the context of the Smart Cities Mission (SCM), which is a flagship programme for urban transformation in the country, is chosen.
In this final episode of land related subjects, Vidyadhar Phatak in conversation with A. Srivathsan, explains the idea of Land Value Capture (LVC) and Value Capture Financing (VCF) pointing out the fine-drawn differences between the two c ... Show more B. R Balachandran in Conversation with Bimal Patel: Making Implementable Plans
Urban planning in India has a long history of planning in a fragmentary fashion, even before the SCM. ... are all associated with the smart cities' socio-spatial dimensions but are largely neglected in current research. This paper contributes to the 'Southern theory' of the smart city by centring on the challenges of informality in smart ...
Urban Studies as a distinctive scholarly field took shape in India around the turn of the 21st century (Appadurai, 2000; Prakash, 2002; see Sood, 2020, for a survey).Earlier work largely comprised policy-facing studies by economists, planners, sociologists and demographers who commented on the steep waves of urbanisation that overtook Indian cities in the 1960s and 70s, highlighting problems ...
India has been experiencing an economic boom and subsequently a fast-paced urbanization process. McKinsey Global Institute (MGI) projections show India's urban population soaring from 340 millionin 2008 to 590 million in 2030. It took nearly 40 years (between 1971 and 2008) for the urban population in India to rise by nearly 230 million.
The paper calls for a re-thinking of urban planning in India so that plans are better able to reflect the requirements and needs of the citizens. Introduction Indian metropolises, pursuant to economic liberalization and globalization, have been nurturing the aspirations of becoming world-class or global cities (Dupont, 2011, Nijman, 2012).
3. The Legal Framework of Urban Planning in Delhi and Bangalore 8 3.1. Evolution of India's Urban Planning Law System 8 3.2. The Authority to Plan 9 3.3. The Process of Planning 11 3.4. Plan Implementation and Violations 12 4. Master Plan for Delhi-2041 and Informal Livelihoods 13 4.1 Street Vendors 15 4.2. Waste Pickers 16 4.3. Home-Based ...
8 Citations Metrics Abstract This paper reviews articles published in the English language and using geospatial data in analysing the state of urban sprawl in India. India is not far behind in the unparalleled global phenomenon of urbanization, with it adding the highest number of urban dwellers by 2050.
The horizontal expansion of cities has largely been 'unplanned'. Current academic research shows that the urban peripheries are areas whose use correspond to diverse and often conflicting...
2 The Approach to Urban Planning in India The current urban planning regime in India is rooted in the Town and Country Planning Act of the United Kingdom of 1947, and is primarily focused on detailed land use zoning. This practice was followed by many developed as well as developing countries, but for some years now, there
Urban and Regional Planning in India V. Nath Urbanisation and Urban Development in India International Journal of Urban and Regional Research (1989) View more references
The urban population growth during 1981-1991 was 36.2%, as against 46.1% in 1971-1981. The urban population growth during 1971-1981 was the highest since beginning of this century. The trend of urbanisation is presented in Table 1.
In urban areas, manufacturing was overtaken by services as the largest employer (Table 3: 1B, 1C, 1G, 8A and 8B). The opening of the economy to. Conclusions. This paper contributes to the debate on urban development by describing and measuring restructuring processes under neoliberalism in India along DMIC, including both, urban and rural areas.
In response to urban problems, the Government of India launched a reform-linked urban infrastructure investment project, Jawaharlal Nehru Urban Renewal Mission (JNNURM). This paper briefly describes urban trends, institutional arrangements, finances and financing of ULBs in India. It identifies issues and suggests an approach for future urban
Chetan Vaidya. Most most relevant SDG to urban planning is SDG 11: Make cities and human settlements inclusive, safe, resilient and sustainable. Role of urban planning in achieving this SDG is focus of this paper. It describes planning initiatives in urban missions. This is followed by specific discussion on monitoring the SDG with specific ...
The origin of urban planning in India can be traced to the planed towns of Mohenjo-Daro and Harappa belonging to the Indus Valley Civilization as early as 2500BC. During the mogul period (1526-1800 AD) the growth of capital cities, building of forts, planned cities with central avenue was introduced.
Susan J. Lewandowski, "Urban Growth and Municipal Development in the Colonial City of Madras, 1860-1900," Journal of Asian Studies 34 (February 1975), 341-360. 8. Howard Spodek, Urban-Rural Integration in Regional Development: A Case Study of Saurashtra, India—1800-1960 (Chicago, 1976). 9.
Find all the newest projects in the category Urban Planning in India. Top architecture projects recently published on ArchDaily. The most inspiring residential architecture, interior design ...
For urban planning to play a crucial role in achieving SDG 11, the way forward can be in terms of: reforms needed in urban planning process; system to measure land-related SDG indicators; and capacity building and partnerships. Urban planning processes have to mainstrem sustainability, inclusiveness and resilient oriented processes.