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Full Description
This book proposes a method to solve land use problems, and has made some significant contributions to the land use analysis and optimization study fields. Firstly, three spatio-temporal logit models for land use change analysis, namely, geographically and temporally weighted logit model (GTWLM), spatio-temporal panel logit model (ST-PLM) and generalized spatio-temporal logit model (GSTLM), are proposed. GTWLM, which considers spatio-temporal non-stationarity, includes temporal data in a spatio-temporal framework by proposing a spatiotemporal distance. ST-PLM incorporates the spatio-temporal correlation and individual effect in one model. By integrating GTWLM and ST-PLM, the GSTLM explores spatio-temporal non-stationarity and correlations simultaneously, whilst considering their individual effects to construct an integrated model. Secondly, a MOO-based two-level spatial planning of land use is proposed. The spatial planning aims at managing and coordinating the land use at different geographic extents and involves spatial layouts and structures of land use at different levels. In spatial planning, GIS and Remote Sensing are used to evaluate, analyze, and measure environmental, economic and social issues. The quantitative relationships between these objectives and spatial land use allocation are then used as rules in the MOO process to simulate environmental conditions under different spatial land use allocation scenarios. The book features a case study of Shenzhen city, the most important Special Economic Zone in China.This book will be of interest to academics and professionals in the fields of urban planning, land resource management, remote sensing and geographic information systems.
Contents
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 Analysis3 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, ShenzhenPart 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
