打印

作者

Tingting Pan;Fenzhen Su;Fengqin Yan;Vincent Lyne;Zhihua Wang;Liang Xu

来源

CITIES,Vol.137,Issue1,Article 104256

语言

英文

关键字

作者单位

State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing 210093, China;Institute for Marine and Antarctic Studies, University of Tasmania, Tasmania 7004, Australia;Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing 210093, China;Institute for Marine and Antarctic Studies, University of Tasmania, Tasmania 7004, Australia;Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;Virginia Center for Housing Research (VCHR) at Virginia Tech, United States of America;Department of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan 430074, China;Key Labs of Law Evaluation of Ministry of Land and Resources of China, 388 Lumo Road, Hongshan District, Wuhan 430074, China;Collaborative Innovation Center for Emissions Trading system Co-constructed by the Province and Ministry, Hubei University of Economics, Wuhan 430205, China,;School of Low Carbon Economics, Hubei University of Economics, Wuhan 430205, China;Landscape Architecture and Spatial Planning group, Wageningen University & Research, the Netherlands;University of Groningen, Department of Sociology, Netherlands;Zhejiang University, Department of Sociology, China;University of Colorado Denver, United States of America;University at Albany, School of Criminal Justice, United States of America;Delft University of Technology, Department of Urbanism, Netherlands;University of St. Andrews, United Kingdom;Utrecht University, Department of Youth & Family, Netherlands;Tilburg University, Developmental Psychology, Netherlands;Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China;College of Resource and Environment, University of Chinese Academy of Sciences, Beijing, China;School of Geography and Planning, Sun Yat-sen University, Guangzhou, China;CUNY Urban Food Policy Institute, CUNY Graduate School of Public Health & Health Policy, The City University of New York, New York, NY, USA

摘要

Contemporary urban planners optimize economic and ecological tradeoffs from different landuses using raster models and homogeneous functional zones. However, ecosystem services depend on the diversity and connectivity of non-homogeneous ecological functions operating within functional zones. To account for these dependencies, we developed a multi-objective functional zoning optimization (MOFZO) model that considers the heterogeneity of internal ecological and economic functions within zones. Vector is used as optimization units, and blue-green-gray (BGG) composition mixture of water/vegetation/urban, within functional zones was used to describe the internal heterogeneity from mixed landuse in functional zones. Results from an extended NSGA-II model for Shenzhen in China, using three conflicting objectives (maximum GDP, maximum ESV, maximum Connectedness), showed patches around ports and coastal areas only changed BGG, which is consistent with the scarcity of coastal land resources and the need to internally optimize land use. Compared to the conventional NSGA-II case, ESV conservation performance was optimized in 41 % of the total changed patches through BGG changes only. These finding provide a practical functional zoning model for planners with deeper insights on implications of constraints and internal changes in functional zones, that materially improves overall ecosystem services within the limited land resources of coastal regions.