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Bibliothèque A Review of Driving Factors, Scenarios, and Topics in Urban Land Change Models

A Review of Driving Factors, Scenarios, and Topics in Urban Land Change Models

A Review of Driving Factors, Scenarios, and Topics in Urban Land Change Models
Volume 9 Issue 8

Resource information

Date of publication
Août 2020
Resource Language
ISBN / Resource ID
10.3390/land9080246
License of the resource

Due to the increase in future uncertainty caused by rapid environmental, societal, and technological change, exploring multiple scenarios has become increasingly important in urban planning. Land Change Modeling (LCM) enables planners to have the ability to mold uncertain future land changes into more determined conditions via scenarios. This paper reviews the literature on urban LCM and identifies driving factors, scenario themes/types, and topics. The results show that: (1) in total, 113 driving factors have been used in previous LCM studies including natural, built environment, and socio-economic factors, and this number ranges from three to twenty-one variables per model; (2) typical scenario themes include “environmental protection” and “compact development”; and (3) LCM topics are primarily growth prediction and prediction tools, and the rest are growth-related impact studies. The nature and number of driving factors vary across models and sites, and drivers are heavily determined by both urban context and theoretical framework.

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Authors and Publishers

Author(s), editor(s), contributor(s)

Kim, Youjung
Newman, Galen
Güneralp, Burak

Publisher(s)
Data Provider
Geographical focus