Spatio-Temporal Analysis and Optimization of Land Use/Cover Change: Shenzhen as a Case Study

ISBN-13: 9781138033153 / Angielski / Twarda / 2017 / 198 str.

Biao Liu; Huang Bo

Opis

This book concentrates on developing a set of innovative models to address land use challenges. It subsequently applies them by analysing and optimizing the land use in SEZ, Shenzhen, China. Within the logistic regression framework, it firstly proposes three spatio-temporal logit models for land use change analysis, namely, GTWLM, ST-PLM and GSTLM for short. All of these have extended or improved the existing model in various aspects. The book also describes a MOO-based two-level spatial planning model of land use, which aims at managing and coordinating the land use at different geographic extents and involves spatial layouts and structures of land use at different levels.

Spis treści

Part I - Introduction 1 Introduction 1.1 Background 1.2 Problem Statement 1.3 Research Objectives 2 Study Area 2.1 Basic Situation 2.2 Land Use Change Information 2.3 Causal Factors for Land Use Change Analysis 3 LUCC Analysis and Optimization Model Review 3.1 Land Use Change Analysis Models 3.2 LUCC Optimization Part II - Spatio-temporal Analysis Model 4 Classic MNLM Model 4.1 Multinomial Logit Model (MNLM) 4.2 Evaluation of the Model’s Classification Accuracy 4.3 Results and Discussion 5 Geographically and Temporally Weighted Logit Model 5.1 Introduction 5.2 Local Models 5.3 Methodology 5.4 Results and Discussion 5.5 Conclusion 6 Spatio-temporal Panel Logit Model 6.1 Introduction 6.2 Panel Data Model 6.3 Methodology 6.4 Results and Discussions 6.5 Conclusion 7 Generalized Spatio-temporal Logit Model 7.1 Introduction 7.2 Generalized Spatio-temporal Logit Model (GSTLM) 7.3 Results and Discussion 7.4 Analysis of Spatio-temporal Land Use Distribution Pattern in SEZ, Shenzhen Part III - Land Use Multi-objective Optimization 8 Optimization Objectives Setting 8.1 Environmental Problems 8.2 Basic Principles 8.3 Objectives at the Municipal Overall Land Use Plan Level 8.4 Objectives at the Urban Master Plan Level 9 Optimization at the Overall Land Use Plan Level 9.1 Objectives at the Overall Land Use Plan Level 9.2 Constraints at the Overall Land Use Plan Level 10 Optimization at the Urban Master Plan Level 10.1 Objectives at the Urban Master Plan Level 10.2 Constraints at the Urban Master Plan Level 11 Model Implementation and Evaluation 11.1 Multi-objective Optimization by Genetic Algorithm 11.2 Optimization Implementation 11.3 Results 11.4 Conclusion Part IV - Summary and Contributions 12 Summary and Contributions 12.1 Spatio-temporal Analysis Method 12.2 Land Use Multi-objective Optimization

O autorze

Biao Liu is a Senior Engineer at the Center for Assessment and Development of Real Estate inShenzhen, China. He is also an adjunct researcher at the Key Laboratory of the Ministry of Land and Resources for Construction Land Transformation, at Guangdong Province Key Laboratory for Land use and consolidation, Guangdong Province Engineering Research Center for Land Information Technology, and at the Wuxi Innovations Center (Shanghai Institute of Technical Physics, Chinese Academy of Sciences). He received his Doctorate at the Chinese University of Hong Kong in 2010. Biao's major research interests are land use studies, mass appraisal andsmart cities. Bo Huang is Professor in the Department of Geography and Resource Management at the Chinese University of Hong Kong,where he is also the Associate Director of the Institute of Space and Earth Information Science (ISEIS). Prior to this,Bo held faculty positions at the University of Calgary, Canada and the National University of Singapore. He has a background and experience in diverse disciplines, including Geographic Information Systems (GIS), remote sensing, urban planning and computer science,. His research interests cover most aspects of GIScience, specifically the design and development of models and algorithms for spatial/spatio-temporal statistics, full-property satellite image fusion and multi-objective spatial optimization, and their applications in environmental monitoring and sustainable land use and transportation planning. Dr. Huang serves as the Asia-Pacific Editor of International Journal of Geographical Information Science (Taylor & Francis) and the Editor-in-Chief of Comprehensive GIS (Elsevier), a three-volume GIS sourcebook. Wenting Zhang, is a lecturerat the College of Resources and Environment atHuazhong Agricultural University, Wuhan, China. She graduated from the department of Geography and Resource Management atthe Chinese University of Hong Kong in 2014. Her main research interest is multi-objective optimization for land use planning.