Abstract
In a rapidly urbanising megacity such as Dhaka, identifying the driving factors that influence urban growth at different spatio-temporal scales is of considerable importance. In this study, based on literature survey and data availability, a selection of drivers is chosen and then tested through logistic regression. Using the CLUE-s land use modelling framework, the ability of these drivers to simulate urbanisation for the periods of 1988–1999 and 1999–2005 was examined against observed data. The results indicated that the role of these driving factors, as contributors to explaining change dynamics of urban land in Dhaka, changes with time. The overall performance of the model, when validated against observed data, is similar to that reported for other urban growth models.
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- 1.
The Wald statistic is the squared ratio of the unstandardised logistic coefficient to its standard error.
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Acknowledgement
This research was conducted as part of a Doctoral project in Urban Studies at the Heriot-Watt University, Edinburgh in the UK. The authors would like to thank the ORS and James Watt Scholarship for funding the study. Also, the authors like to thank Dr Ashraf M. Dewan for providing access to the land cover datasets. The authors are also grateful to Professor Mark Birkin (University of Leeds) and Professor Michael White (Nottingham Trent University) for constructive suggestions on the structuring of the simulation framework used in this study.
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Ahmed, S.J., Bramley, G., Verburg, P.H. (2014). Key Driving Factors Influencing Urban Growth: Spatial-Statistical Modelling with CLUE-s. In: Dewan, A., Corner, R. (eds) Dhaka Megacity. Springer Geography. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6735-5_7
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