TY - JOUR
T1 - Comprehensive evaluation in urban green transportation development: Evidence from 30 cities in China
AU - Zhang, Chunqin
AU - Li, Waner
AU - Huang, Wenbin
AU - Wu, Hui
AU - Skitmore, Martin
AU - Xia, Bo
AU - Wang, Wangxiong
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/12
Y1 - 2024/12
N2 - This study develops a Comprehensive Index of Urban Green Transportation Development Levels in Chinese cities to address the absence of a comprehensive framework for evaluating China's urban transportation system. Using expert interviews and the eDPSIR framework, it creates a causal network diagram and employs DEMATEL to assess relationships among 13 key factors and 26 indicators. The system evaluates urban green transportation development comprehensively, covering effectiveness in systems, social, environmental, economic, and transportation aspects. The framework employs the difference coefficient method, subjective and objective entropy weighting, and fuzzy hierarchical analysis. Empirical research on 30 Chinese cities from 2011 to 2020, using improved set-pair analysis and a variable fuzzy set model, identifies challenges in achieving green development levels, with megacities surpassing large cities. Fishbone analysis reveals policy deficiencies, prompting proposed design ideas and enhancement paths. This study enriches green transportation assessment indicators, offering valuable insights for sustainable urban transportation development in China.
AB - This study develops a Comprehensive Index of Urban Green Transportation Development Levels in Chinese cities to address the absence of a comprehensive framework for evaluating China's urban transportation system. Using expert interviews and the eDPSIR framework, it creates a causal network diagram and employs DEMATEL to assess relationships among 13 key factors and 26 indicators. The system evaluates urban green transportation development comprehensively, covering effectiveness in systems, social, environmental, economic, and transportation aspects. The framework employs the difference coefficient method, subjective and objective entropy weighting, and fuzzy hierarchical analysis. Empirical research on 30 Chinese cities from 2011 to 2020, using improved set-pair analysis and a variable fuzzy set model, identifies challenges in achieving green development levels, with megacities surpassing large cities. Fishbone analysis reveals policy deficiencies, prompting proposed design ideas and enhancement paths. This study enriches green transportation assessment indicators, offering valuable insights for sustainable urban transportation development in China.
UR - http://www.scopus.com/inward/record.url?scp=85207747095&partnerID=8YFLogxK
U2 - 10.1016/j.rtbm.2024.101231
DO - 10.1016/j.rtbm.2024.101231
M3 - Article
AN - SCOPUS:85207747095
SN - 2210-5395
VL - 57
SP - 1
EP - 19
JO - Research in Transportation Business and Management
JF - Research in Transportation Business and Management
M1 - 101231
ER -
