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
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