Modelling the growth of two rapidly urbanizing Indian cities

H.A. Bharath1, 4  M.C. Chandan4  S. Vinay 1  T.V. Ramachandra1,2, 3

1Energy & Wetlands Research Group, Center for Ecological Sciences [CES]
2Centre for Sustainable Technologies (astra)
3Centre for infrastructure, Sustainable Transportation and Urban Planning [CiSTUP]
4 RCGSIDM, Indian institute of Technology Kharagpur, West Bengal-721302, India Indian Institute of Science, Bangalore, Karnataka, 560 012, India
*Corresponding author:bhaithal@iitkgp.ac.in


References

  1. Alberti, M. (2005). The effects of urban patterns on ecosystem function. International regional Science Review, 28 (2): 168-192.
  2. Almeida, C.M., A.M.V. Monteiro, G. Camara, B.S.Soares-Filho, G.C. Cerqueira, C.L. Pennachin and M. Batty (2005). GIS and remote sensing as tools for the simulation of urban land-use change. Int. J. Remote Sens. 26 (4): 759–774.
  3. Al-sharif, A.A. and B. Pradhan (2013). Monitoring and predicting land use change in Tripoli Metropolitan City using an integrated Markov chain and cellular automata models in GIS. Arabian Journal of Geosciences, 7 (10): 4291-4301.
  4. Barnes, K.B., J.M. Morgan, M.C. Roberge and S. Lowe (2001). Sprawl development: Its patterns, consequences, and measurement. A white paper, Towson University.
  5. Batty, M. (1998). Urban evolution on the desktop: Simulation with the use of extended cellular automata. Environment and Planning, 30: 1943-1967.
  6. Batty, M. and Y. Xie (1997). Possible urban automata. Environment and Planning B, 24: 175-192.
  7. Bharath, H.A., S. Bharath, S. Sreekantha, D.S. Durgappa and T.V. Ramachandra (2012). Spatial patterns of urbanization in Mysore: Emerging tier II city in Karnataka. Proceedings of NRSC UIM 2012, Hyderabad.
  8. Bharath, H.A., S. Vinay and T.V. Ramachandra (2014). Landscape dynamics modelling through integrated Markov, fuzzy-AHP and cellular automata. in the proceeding of International Geoscience and Remote Sensing Symposium (IEEE IGARSS 2014), July 13th – July 19th 2014, Quebec City convention centre, Quebec, Canada.
  9. Brueckner, J.K. and H. Kim (2003). Urban sprawl and the property tax. International Tax and Public Finance, 10: 5–23.
  10. Census of India (2011). Government of India, http://censusindia.gov.in/
  11. Chang, K.T. (2006). Introduction to geographic information systems. 4th edition, McGraw-Hill Higher Education publication.
  12. Cheng, J. and I. Masser (2004). Understanding spatial and temporal processes of urban growth: Cellular automata modelling. Environment and Planning B: Planning and Design, 31: 167–194.
  13. Deng, J.S., Ke Wang, Yang Hong and Jia G. Qi, (2009). Spatiotemporal dynamics and evolution of landuse change and landscape pattern in response to rapid urbanization. Landscape and Urban Planning, 92, 3–4: 187-198.
  14. Duda, R.O., P.E. Hart and D.G. Stork (2000). Pattern classification (2nd edition). Wiley- Interscience Publication, ISBN 978-81-265-1116-7.
  15. Dupont, V. (2005). Peri urban dynamics: Population, habitat and environment on the peripheries of large Indian metropolises - A review of concepts and general issues. French Research Institutes in India Publication.
  16. Ewing, R., R. Pendall and D. Chen (2002). Measuring sprawl and its impacts. Washington, DC: Smart Growth America.
  17. Furberg, D. and Y. Ban (2012). Satellite monitoring of urban sprawl and assessment of its potential environmental impact in the greater Toronto area between 1985 and 2005. Environmental Management, 50: 1068-1088.
  18. He, C., N. Okada, Q. Zhang, P. Shi and J. Zhang (2006). Modeling urban expansion scenarios by coupling cellular automata model and system dynamic model in Beijing, China. Appl. Geogr. 26: 323–345.
  19. Hepinstall-Cymerman, J., C. Stephan and L.R. Hutyra (2013). Urban growth patterns and growth management boundaries in the Central Puget Sound, Washington, 1986–2007. Urban Ecosystems, 16: 109–129.
  20. Herold, M., H. Couclelis and K.C. Clarke (2005). The role of spatial metrics in the analysis and modeling of urban change. Computers, Environment, and Urban Systems, 29: 339–369.
  21. Hossein, S.M. and H. Marco (2013). Spatiotemporal urbanization processes in the megacity of Mumbai, India: A Markov chains-cellular automata urban growth model. Applied Geography 40: 140-149
  22. Hotton, D. (2001). Deer. In Maryland Game Program Annual Report 2000-2001. Annapolis, MD: Maryland Department of Natural Resources: 11-29.
  23. Irwin, E. and N. Bockstael (2007). The evolution of urban sprawl: Evidence of spatial heterogeneity and increasing land fragmentation. Proceedings of the National Academy of Sciences of the USA, 104(52): 20672-20677.
  24. Jat, M.K., P.K. Garg and D. Khare (2008). Monitoring and modelling of urban sprawl using remote sensing and GIS techniques. International Journal of Applied Earth Observation and Geoinformation, 10: 26-43.
  25. Khwanruthai, B. and M. Yuji (2011). Site suitability evaluation for ecotourism using GIS and AHP: A case study of Surat Thani province, Thailand. Procedia Social and Behavioral Sciences 21: 269–278.
  26. Kong, F. and N. Nakagoshi (2006). Spatial-temporal gradient analysis of urban green spaces in Jinan, China. Landscape and Urban Planning 78: 147–164.
  27. Kowarik, I. (1990). Some responses of flora and vegetation to urbanization in central Europe. In: Sukopp, H., Hejny, S., Kowarik, I. (Eds.), Urban Ecology: Plants and Plant Communities in Urban Environments. SPB Academic Publishing B.V., The Hague, The Netherlands: 45–74.
  28. Lau, K.H. and B.H. Kam (2005). A cellular automata model for urban land-use simulation. Environment and Planning B: Planning and Design 32: 247–263.
  29. Li, X., Q. Yang and X. Liu (2008). Discovering and evaluating urban signatures for simulating compact development using cellular automata. Landsc. Urban Plann. 86: 177–186.
  30. Li, Y., X. Zhu, X. Sun and F. Wang (2010). Landscape effects of environmental impact on bay-area wetlands under rapid urban expansion and development policy: A case study of Lianyungang, China. Landscape and Urban Planning 94(3): 218-227
  31. Lillesand, T.M., R.W. Kiefer and J.W. Chipman (2012). Remote sensing and image interpretation. 6th edition, John Wiley and Sons publication.
  32. Loibl, W. and T. Toetzer (2003). Modeling growth and densification processes in suburban regionssimulation of landscape transition with spatial agents. Environmental Modelling & Software, 18: 553–563
  33. McCuen,R.H. and R.E. Beighley (2003). Seasonal flow frequency analysis. Journal of Hydrology, 279: 43–56.
  34. McGarigal, K. and B. Marks (1995). Fragstats – Spatial pattern analysis program for quantifying landscape structure. Forest Science Department, Oregon State University.
  35. Mukunda, D.B., N.B. Santosh, N.P. Sudhindra, R.B. Priti and S.R. Partha (2012). Modelling and analyzing the watershed dynamics using Cellular Automata (CA)–Markov model – A geo-information based approach. J. Earth Syst. Sci. 121: 1011–1024
  36. O’Neill, R.V., J.R. Krummel, R.H. Gardner, G. Sugihara, B. Jackson, D.L. DeAngelis, B.T. Milne, M.G. Turner, B. Zygmunt, S.W. Christensen, V.H. Dale and R.L. Graham (1988). Indices of landscape pattern. Landscape Ecology 1: 153–162
  37. Ottensmann, J.R. (1977). Urban Sprawl, Land Values and the Density of Development. Land Economics, 53 (4): 389-400.
  38. Praveen, S., S. Kabiraj and T. Bina (2013). Application of a hybrid Cellular Automaton – Markov (CA-Markov) model in land-use change prediction: A case study of Saddle creek drainage basin, Florida. Applied Ecology and Environmental Sciences 1, no. 6: 126-132.
  39. Pryor, R.J. (1968). Defining the rural-urban fringe. Social Forces, University of North Carolina Press, 47: 202–215.
  40. Ramachandra, T.V., H.A. Bharath and D.S. Durgappa (2012). Insights to urban dynamics through landscape spatial pattern analysis. International Journal of Applied Earth Observation and Geoinformation 18: 329-343.
  41. Ramachandra, T.V., H.A. Bharath and S. Vinay (2013). Land use land cover dynamics in a rapidly urbanising landscape. SCIT Journal, 13: 1-12.
  42. Ramachandra, T.V. and U. Kumar (2009). Land surface temperature with land cover dynamics: Multi resolution, spatio-temporal data analysis of Greater Bangalore. International Journal of Geoinformatics, 5(3), 64-75.
  43. Ramachandra, T.V. and U. Kumar (2010). Greater Bangalore: Emerging heat island. GIS for Development, 14(1): 86-104.
  44. Ramachandra, T.V., H.A. Bharath and B. Barik (2014a). Urbanisation pattern of incipient mega region in India. Tema. Journal of Land Use, Mobility and Environment, 7(1): 83-100.
  45. Ramachandra, T.V., H.A. Bharath and M.V. Sowmyashree (2014). Urban structure in Kolkata: Metrics and modeling through geo-informatics. Applied Geomatics, 6(4): 229-244.
  46. Ramachandra, T.V., H.A. Bharath and M.V. Sowmyashree (2015). Monitoring urbanization and its implications in a mega city from space: Spatiotemporal patterns and its indicators. Journal of Environmental Management, 148, 67-91.
  47. Saaty, T.L. (1980). The analytical hierarchy process: Planning, priority setting, resource allocation. McGraw-Hill publication, New York.
  48. Sadhana, J., K. Divyani, R. Ram Mohan and B. Wietske (2011). Spatial metrics to analyze the impact of regional factors on pattern of urbanisation in Gurgaon, India. Journal of Indian Soc. Remote Sens., 39(2): 203–212.
  49. Smart Cities - Mission Statement & Guidelines, 2015. Ministry of Urban Development, Government of India. http://smartcities.gov.in/ accessed on 07.04.2015
  50. Stevens, D. and S. Dragicevic (2007). A GIS-based irregular cellular automata model of land-use change. Environment and Planning B: Planning and Design 34: 708–724.
  51. Sukopp, H. (1998). Urban ecology—Scientific and practical aspects. In: Breuste, J., Feldmann, H., Uhlmann, O. (Eds.), Urban Ecology. Springer, Berlin, 3–16.
  52. Taubenbock, H., M. Wegmann, A. Roth, H. Mehl and S. Dech (2009). Urbanization in India-Spatiotemporal analysis using remote sensing data. Computers, Environment and Urban Systems, Volume 33, Issue 3: 179–188.
  53. United Nations (UN), (2012). Millennium development goals indicators, database.
  54. Vishwanatha, Bhat, H.A. Bharath and T.V. Ramachandra (2015). Spatial patterns of urban growth with globalization in India’s Silicon Valley. Proceedings of National Conference on Open Source GIS: Opportunities and Challenges, IIT (BHU), Varanasi. October 9-10, 2015.
  55. Wagner, D.F. (1997). Cellular automata and geographic information systems. Environment and Planning B: Planning and Design 2: 219–234.
  56. White, R. and G. Engelen (2000). High resolution modelling of the spatial dynamics of urban and regional systems. Comput. Environ. Urban Syst. 24: 383–400.
  57. Whittaker, R.H. (1975). Communities and ecosystems. MacMillan, New York.
  58. Wolfram, S. (2002). A new kind of science. Wolfram Media, Canada.
  59. World Urban Prospects - Highlights, 2014 revision. Department of Economic and Social Affairs. United Nations, New York-2014.
  60. Wu, J. (2006). Environmental amenities, urban sprawl, and community characteristics. Journal of Environmental Economics and Management, 52(2): 527-547.
  61. Xian, G., M. Crane and J. Su (2007). An analysis of urban development and its environmental impact on the Tampa Bay watershed. Journal of Environmental Management 85(4): 965-976.
  62. Yang, X. and C.P. Lo (2003). Modelling urban growth and landscape changes in the Atlanta metropolitan area. International Journal of Geographical Information Science, 17: 463–488
  63. Yuzer, M.A. (2004). Growth estimations in settlement planning using a Land Use Cellular Automata Model (LUCAM). Eur. Plann. Stud. 12 (4): 551–561.
  64. Zhu, W. and M.M. Carreiro (1999). Chemoautotrophic nitrification in acidic forest soils along an urban-torural transect. Soil Biol. Biochem., 129: 1091–1100.

 

 

Citation : H.A. Bharath, M.C. Chandan, S. Vinay, T.V. Ramachandra, 2017, Modelling the growth of two rapidly urbanizing Indian cities, Journal of Geomatics Vol 11 No. 2 October 2017 © Indian Society of Geomatics
* Corresponding Author :
H.A. Bharath
Energy & Wetlands Research Group, Center for Ecological Sciences [CES]
RCGSIDM, Indian institute of Technology Kharagpur, West Bengal-721302, India Indian Institute of Science, Bangalore, Karnataka, 560 012, India
E-mail : bhaithal@iitkgp.ac.in, energy@ces.iisc.ernet.in,     Web : http://wgbis.ces.iisc.ernet.in/energy/
E-mail    |    Sahyadri    |    ENVIS    |    GRASS    |    Energy    |      CES      |      CST      |    CiSTUP    |      IISc      |    E-mail