Forecasting urban sprawl in Dhaka city of Bangladesh

Environment and Planning B: Planning and Design

Volumn 43, Issue 4, 2016, Pages 756-771

  Pramanik, Md Monjure Alam ^a   Stathakis, Demetris ^a  

^a UNIVERSITY OF THESSALY   (Greece)

Author keywords

Exclusion; growth prediction; Land use; Slope; Transportation and Hill model; Urban expansion; Urban extension; urban planning; urban sprawl

Indexed keywords

CAPITAL CITY; CELLULAR AUTOMATON; FORECASTING METHOD; FUTURE PROSPECT; LAND USE CHANGE; SATELLITE IMAGERY; URBAN GROWTH; URBAN PLANNING;

BANGLADESH; DHAKA [BANGLADESH]; DHAKA [DHAKA (ADS)];

EID: 84978531678     PISSN: 02658135     EISSN: 14723417     Source Type: Journal    
DOI: 10.1177/0265813515595406     Document Type: Article

References (29)

1. M.BattyP.LongleyS.Fortheringham (1989) Urban growth and form: Scaling, fractal geometry, and diffusion-limited aggregation. Environment and Planning A21(11): 1447–1472.
2. M.BattyY.XieZ.Sun (1999) Modeling urban dynamics through GIS-based cellular automata. Computers Environment and Urban Systems23(3): 205–233.
3. I.Benenson (1998) Multi-agent simulations of residential dynamics in the city. Computers, Environment and Urban Systems22(1): 25–42.
4. G.ChaudhuriK.C.Clarke (2013) The SLEUTH land use change model: A review. The International Journal of Environmental Resources Research1(1): 88–104.
5. J.ChengI.Masser (2003) Urban growth pattern modeling: A case study of Wuhan city, PR China. Landscape and Urban Planning62(4): 199–217.
6. A.M.ChowdhuryS.Faruqui (1989) Physical growth of Dhaka City. In: (ed.) Dhaka: Past, Present and Future, Dhaka: The Asiatic Society of Bangladesh, pp. 43–61.
7. K.C.ClarkeS.HoppenL.Gaydos (1997) A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B: Planning and Design24(2): 247–261.
8. Cox W (2012) Evolving urban form: Dhaka. Available at: http://www.newgeography.com/content/003004-evolving-urban-form-dhaka (accessed 10 July 2015)
9. C.DietzelK.C.Clarke (2006) The effects of disaggregating land use categories in cellular automata during model calibration and forecasting. Computers, Environment and Urban Systems30(1): 78–101.
10. G.EngelenR.WhiteI.Uljee (1995) Using cellular automata for integrated modeling of socio-environmental systems. Environmental Monitoring and Assessment34(2): 203–214.
11. Islam N (1999) Urbanization, migration and development in Bangladesh: Recent trends and emerging issues. CPD-UNFPA Series 1. Dhaka, Bangladesh: Centre for Policy Dialogue
12. Japan International Cooperation Agency (JICA) (1992) Feasibility Study of Greater Dhaka Flood Protection Project, FAP 8A Interim and Main Reports, Dhaka, Bangladesh: Flood Plan Coordination Organization (presently WARPO).
13. X.LiA.G.Yeh (2000) Modeling sustainable urban development by the integration of constrained cellular automata and GIS. International Journal of Geographical Information Science14(2): 131–153.
14. Mannan MS and Karim MM (2001) Current state of the mobility of the urban dwellers in Greater Dhaka. Paper presented at the 94th annual conference and exhibition of air and waste management association, Orlando, Florida, USA, 24–28 June. Available at: http://www.eng-consult.com/pub/mobility-paper.PDF (accessed 10 July 2015)
15. Moeller MS (2005) Remote Sensing for the Monitoring of Urban Growth Pattern, 11S, ASU. Tempe, AZ: International Institute for Sustainability, Arizona State University. Available at: http://www.isprs.org/proceedings/XXXVI/8-W27/moeller.pdf (accessed 10 July 2015)
16. B.C.PijanowskiD.G.BrownB.A.Shellitoc (2002) Using neural networks and GIS to forecast land use changes: A land transformation model. Computers, Environment and Urban Systems26(6): 553–575.
17. R.RafieeA.S.MahinyN.Khorasani (2008) Simulating urban growth in Mashad City, Iran through the SLEUTH model (UGM). Cities26(2009): 19–26.
18. P.Stalker (2000) Handbook of the World, New York: Oxford University Press.
19. D.Stathakis (2009) How many hidden layers and nodes. International Journal of Remote Sensing8(30): 2133–2147.
20. D.StathakisA.Vasilakos (2006) Comparison of several computational intelligence based classification techniques for remotely sensed optical image classification. IEEE Transactions in Geoscience and Remote Sensing8(44): 2305–2318.
21. Z.SunB.DealW.G.Pallathuchril (2005) The land use evolution and impact assessment model: A comprehensive urban planning support system. URISA: Journal of the Urban and Regional Information Systems Association21(1): 57–68.
22. M.TakayamaH.Couclelis (1997) Map dynamic integrating cellular automata and GIS through Geo algebra. International Journal of Geographical Information Science11(1): 73–91.
23. W.R.Tobler (1979) Cellular geography. In: (eds) Philosophy in Geography, Netherlands: Springer, pp. 339–346.
24. P.M.Torrens (2000) How Cellular Models of Urban Systems Work. CASA Working Paper 28, London: Centre for Advanced Spatial Analysis, University College London.
25. A.VeldkampE.F.Lambin (2001) Predicting land-use change. Agriculture, Ecosystems and Environment85(1): 1–6.
26. World Bank (2007a) Dhaka: Improving living conditions for the urban poor. Sustainable Development Unit, South Asia Region, Report No. 35824-BD. Available at: http://siteresources.worldbank.org/BANGLADESHEXTN/Resources/295759-1182963268987/dhakaurbanreport.pdf (accessed 10 July 2015)
27. World Bank (2007b) Dhaka metropolitan development plan: Strategic environmental assessment, Washington, DC: World Bank. Available at: http://documents.worldbank.org/curated/en/2007/07/17207304/dhaka-metropolitan-development-plan-strategic-environmental-assessment (accessed 10 July 2015).
28. R.WhiteG.Engelen (1993) Cellular automata and fractal urban form: A cellular modeling approach to the evolution of urban land-use patterns. Environment and Planning A25(8): 1175–1199.
29. F.Wu (1998) SimLand: A prototype to simulate land conversion through the integrated GIS and CA with AHP derive transition rules. International Journal of Geographical Information Science12(1): 63–82.