Key driving factors influencing urban growth: Spatial-statistical modelling with CLUE-s

Sohel J. Ahmed; Glen Bramley; Peter H. Verburg

doi:10.1007/978-94-007-6735-5_7

Key driving factors influencing urban growth: Spatial-statistical modelling with CLUE-s

Sohel J. Ahmed^*, Glen Bramley, Peter H. Verburg

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review

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.

Original language	English
Title of host publication	Dhaka Megacity
Subtitle of host publication	Geospatial Perspectives on Urbanisation, Environment and Health
Publisher	Springer Netherlands
Pages	123-145
Number of pages	23
ISBN (Electronic)	9789400767355
ISBN (Print)	9789400767348
DOIs	https://doi.org/10.1007/978-94-007-6735-5_7
Publication status	Published - 1 Jan 2014

Keywords

Calibration
CLUE-s
Dhaka
Drivers of change
LUCC
Spatial statistical models
Urban growth
Validation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-94-007-6735-5_7

Cite this

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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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AU - Ahmed, Sohel J.

AU - Bramley, Glen

AU - Verburg, Peter H.

PY - 2014/1/1

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N2 - 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.

AB - 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.

KW - Calibration

KW - CLUE-s

KW - Dhaka

KW - Drivers of change

KW - LUCC

KW - Spatial statistical models

KW - Urban growth

KW - Validation

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ER -

Key driving factors influencing urban growth: Spatial-statistical modelling with CLUE-s

Abstract

Keywords

UN SDGs

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