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

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 mo...

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Main Authors: Youjung Kim, Galen Newman, Burak Güneralp
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/9/8/246
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author Youjung Kim
Galen Newman
Burak Güneralp
author_facet Youjung Kim
Galen Newman
Burak Güneralp
author_sort Youjung Kim
collection DOAJ
description 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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spelling doaj.art-db8192cc42e04b6c849f4ccd446718242023-11-20T08:04:45ZengMDPI AGLand2073-445X2020-07-019824610.3390/land9080246A Review of Driving Factors, Scenarios, and Topics in Urban Land Change ModelsYoujung Kim0Galen Newman1Burak Güneralp2Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USADepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USADepartment of Geography, Texas A&M University, College Station, TX 77843, USADue 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.https://www.mdpi.com/2073-445X/9/8/246urban land changeland change modeldriving factorsuncertaintyscenariosscenario development
spellingShingle Youjung Kim
Galen Newman
Burak Güneralp
A Review of Driving Factors, Scenarios, and Topics in Urban Land Change Models
Land
urban land change
land change model
driving factors
uncertainty
scenarios
scenario development
title A Review of Driving Factors, Scenarios, and Topics in Urban Land Change Models
title_full A Review of Driving Factors, Scenarios, and Topics in Urban Land Change Models
title_fullStr A Review of Driving Factors, Scenarios, and Topics in Urban Land Change Models
title_full_unstemmed A Review of Driving Factors, Scenarios, and Topics in Urban Land Change Models
title_short A Review of Driving Factors, Scenarios, and Topics in Urban Land Change Models
title_sort review of driving factors scenarios and topics in urban land change models
topic urban land change
land change model
driving factors
uncertainty
scenarios
scenario development
url https://www.mdpi.com/2073-445X/9/8/246
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