An empirical study on transit-oriented low-carbon urban land use planning: Exploratory Spatial Data Analysis (ESDA) on Shanghai, China

被引:75
|
作者
Dou, Yi [1 ,3 ]
Luo, Xiao [2 ]
Dong, Liang [1 ,4 ,5 ]
Wu, Chuntao [6 ]
Liang, Hanwei [5 ]
Ren, Jingzheng [7 ]
机构
[1] Natl Inst Environm Studies, Ctr Social & Environm Syst Res, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan
[2] Tongji Univ, Coll Architecture & Urban Planning, 1239 Siping Rd, Shanghai 200092, Peoples R China
[3] Shanghai Tongji Urban Planning & Design Inst, 1111 North Zhongshan Rd, Shanghai, Peoples R China
[4] Leiden Univ, CML, Leiden, Netherlands
[5] Nanjing Univ Informat Sci & Technol, Sch Geog & Remote Sensing, Nanjing 210044, Jiangsu, Peoples R China
[6] Sichuan Univ, Sch Tourism, 2 South Sect,Yihuan Rd, Chengdu 610064, Peoples R China
[7] Univ Southern Denmark, Dept Technol & Innovat, Campusvej 55, DK-5230 Odense M, Denmark
关键词
TOD; Low carbon urban planning; Exploratory Spatial Data Analysis; Accessibility; China; SOCIOSPATIAL DIFFERENTIATION; ACCESSIBILITY; ASSOCIATION; TRANSPORT; IMPACTS; DENSITY; SPRAWL; SEOUL;
D O I
10.1016/j.habitatint.2015.12.005
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
Low-carbon urban development is a hot spot of global concerns for fighting against climate change for China, transportation sector has a significant contribution to urban CO2 emissions, while the emissions are still increasing. Transit-Oriented Development (TOD) strategies provide a novel approach for urban planners to facilitate the urban carbon mitigation from transportation sector in long-term. While TOD strategies are emerging cases, they are merely qualitatively discussed in China, lacking practical indicators and quantitative verification for supporting the real urban plan. With such circumstance, this study aims to conduct an empirical and quantitative study on the applications of TOD strategy in Shanghai based on Exploratory Spatial Data Analysis (ESDA) and the updating data. Firstly, the changes of urban morphology were quantitatively analyzed by spatial cluster analysis, which reveals the layer structure changes and residents migration at about 1 km accuracy. Secondly, accessibility was selected as an indicator for urban transportation and estimated by method based on Time Cost Weighted Distance. Finally, the effectiveness of TOD was investigated by evaluating the integration between population and transportation accessibility with Geographic Weighted Regression model. Results highlight that TOD can effectively improve the transportation network with higher accessibility and lower urban carbon emissions. The outcomes of this study provide critical insights to the recent practice in Shanghai, as well as the practical guidance to low carbon urban planning in developing countries. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:379 / 389
页数:11
相关论文
共 50 条
  • [31] Study on the Low-Carbon and Environment-Friendly Land-Use Patterns in Xinjiang, China
    Pu Chun-ling
    Yu Hui-rong
    PIAGENG 2010: PHOTONICS AND IMAGING FOR AGRICULTURAL ENGINEERING, 2010, 7752
  • [32] Innovation-Driven Development and Urban Land Low-Carbon Use Efficiency: A Policy Assessment from China
    Xu, Ning
    Zhao, Desen
    Zhang, Wenjie
    Zhang, He
    Chen, Wanxu
    Ji, Min
    Liu, Ming
    LAND, 2022, 11 (10)
  • [33] Spatial-temporal characteristics and drivers of urban built-up areas land low-carbon efficiency in China
    Guo, Jin
    Feng, Pengfei
    Xue, Han
    Xue, Jinli
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [34] Spatial correlation analysis of low-carbon innovation: A case study of manufacturing patents in China
    Yang, Chaojun
    Liu, Shuning
    JOURNAL OF CLEANER PRODUCTION, 2020, 273
  • [35] Has Urban Construction Land Achieved Low-Carbon Sustainable Development? A Case Study of North China Plain, China
    Wang, Qing
    Xiao, Yuhang
    SUSTAINABILITY, 2022, 14 (15)
  • [36] Environmental Regulation, Outward Foreign Direct Investment, and Low-Carbon Innovation: An Empirical Study Based on Provincial Spatial Panel Data in China
    Yang, Chaojun
    Liu, Liju
    Yang, Wenke
    Ahmed, Tanveer
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [37] High-carbon expansion or low-carbon intensive and mixed land-use? Recent observations from megacities in developing countries: A case study of Shanghai, China
    Wang, Yao
    Fan, Hua
    Wang, Hanmei
    Che, Yue
    Wang, Jun
    Liao, Yuanqin
    Lv, Shan
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 348
  • [38] Land Use Optimization and Simulation of Low-Carbon-Oriented-A Case Study of Jinhua, China
    Huang, Shiqi
    Xi, Furui
    Chen, Yiming
    Gao, Ming
    Pan, Xu
    Ren, Ci
    LAND, 2021, 10 (10)
  • [39] Spatial Pattern of Carbon Sequestration and Urban Sustainability: Analysis of Land-Use and Carbon Emission in Guang'an, China
    Li, Zhigang
    Zhong, Jialong
    Sun, Zishu
    Yang, Wunian
    SUSTAINABILITY, 2017, 9 (11)
  • [40] Planning multiple energy systems for low-carbon districts with high penetration of renewable energy: An empirical study in China
    Cheng, Yaohua
    Zhang, Ning
    Kirschen, Daniel S.
    Huang, Wujing
    Kang, Chongqing
    APPLIED ENERGY, 2020, 261