Abstract
Cities in developing countries like India are facing some of the same concerns that North American cities are: congestion and urban growth. However, there is a sense of urgency in cities like Delhi, India in that this growth is far more rapid as both urbanization and motorization are ongoing processes that have not yet peaked. In this paper, we examine land use change and its relationship with transportation infrastructure and other planning related variables in a spatial context. We estimate land use change models at two different scales from separate data. Cellular automation and Markov models were used to understand change at the regional scale and discrete choice models to predict change at the local level. The results suggest that land use in the Delhi metropolitan area is rapidly intensifying while losing variety. These changes are affected by industrial, commercial and infrastructure location and planners and policy-makers need to better understand the implications of location decisions. We also examine these results in the context of a policy framework for data-based planning that links land use and transportation models for Delhi.
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References
ADB/UNESCAP (2000) State of the Environment in Asia and the Pacific. www.unescap.org/enrd/environment/Activities/ES/SOE/CH06.PDF.
KA Bartholomew (1995) ArticleTitleA tale of two cities Transportation 22 273–293
Census of India (2001) www.censusindia.net.
K Chomitz D Gray (1996) ArticleTitleRoads, land use, and deforestation: A spatial model applied to Belize World Bank Economic Review 10 487–512
KC Clarke Gaydos LJ (1998) ArticleTitleLoose-coupling a cellular automaton model and GIS: Long-term urban growth prediction for San Francisco and Washington/Baltimore International Journal of Geographical Information Systems 12 699–714
Delhi Development Authority (DDA). Master Plan for Delhi. 1990.
Earth Satellite Corporation (2000) www.earthsat.com.
G Fischer LX Sun (2001) ArticleTitleModel based analysis of future land-use development in China Agriculture Ecosystems & Environment 85 163–176
AS Fotheringham PA Rogerson (1994) Spatial analysis and GIS Bristol Taylor & Francis
R Gakenheimer (1993) ArticleTitleLand use/transportation planning: New possibilities for developing and developed countries Transportation Quarterly 47 311–322
R Gakenheimer (1999) ArticleTitleUrban mobility in the developing world Transportation Research Part A 33 671–689
Government of India, Ministry of Environment and Forests, and Government of National Capital Territory of Delhi (2001) Delhi Urban Environment and Infrastructure Improvement Project: Delhi 21.
IDRISI (2001) Geographic Analysis and Image Processing software, www.clarklabs.org.
CY Ji QH Liu DF Sun S Wang P Lin XW Li (2001) ArticleTitleMonitoring urban expansion with remote sensing in China International Journal of Remote Sensing 22 1441–1455
J Kessler W Schroeer (1995) ArticleTitleMeeting mobility and air quality goals: Strategies that work Transportation 22 241–272
Kokaz K Harshadeep NR Rogers P and S Srinivasan (2001) A simulation analysis of transportation policies on health and environment in Delhi, India. In: Proceedings of the 7th international conference on Computers in Urban Planning and Urban Management, University of Hawaii: Honolulu.
Kokaz K & P Rogers (2001) Urban transportation planning for air quality management – The role of social and economic costs in welfare maximization of mobility choice: A case study in Delhi, India. In: Proceedings of the 1st Workshop on Transportation, Land use and the Environment, Central Institute of Road Transport, Pune, India, Dec 2–3, 2001.
SN Kundu AK Sahoo S Mohapatra RP Singh (2001) ArticleTitleChange analysis using IRS-P4 OCM data after the Orissa super cyclone International Journal of Remote Sensing 22 1383–1389
HM Mayer (1969) The spatial expression of urban growth. Resource Paper 7 American Association of Geographers New York, NY
D Mohan G Tiwari (2000) ArticleTitleMobility, environment and safety in megacities: Dealing with a complex future IATSS Research 24 39–46
ML Infomap (2000). www.mlinfomap.com.
Sarna AC and SM Sarin (1985) Transportation planners’ dilemma – Modal split and its manipulation. Indian Highways: 5–18.
S Serneels EF Lambin (2001) ArticleTitleProximate causes of land-use change in Narok District, Kenya: A spatial statistical model Agriculture Ecosystems & Environment 85 65–81
Sheehan MO’ Meara (2001) City Limits: Putting the Brakes on Sprawl World Watch Institute Washington DC
Sikdar PK (2001) A framework for the evaluation of transport development and management options using pollution profile technique. In: Proceedings of the 1st Workshop on Transportation, Land use and the Environment, Pune, India, December 2–3, 2001.
G Tiwari (1999) ArticleTitlePlanning for non-motorized traffic a prerequisite for a sustainable transport system IATSS Research 23 70–77
YQ Wang Zhang XS (2001) ArticleTitleA dynamic modeling approach to simulating socioeconomic effects on landscape changes Ecological Modelling 140 141–162
WD Warren (1993) ArticleTitleA transportation view of the morphology of cities Transportation Quarterly 47 367–377
World Health Organization (WHO) and United Nations Environment Programme (1992) Urban Air Pollution in Megacities of the World. Cambridge, MA: Blackwell.
Zhang M & JD Landis. (1995). An empirical model of land use change in the San Francisco Bay Area: 1985–1990. Working paper 646. Institute of Urban and Regional Development, University of California at Berkeley.
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Srinivasan, S. Linking land use and transportation in a rapidly urbanizing context: A study in Delhi, India. Transportation 32, 87–104 (2005). https://doi.org/10.1007/s11116-004-2216-y
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DOI: https://doi.org/10.1007/s11116-004-2216-y