Feasibility Analysis of Green Travel in Public Transportation: A Case Study of Wuhan

Junjun Zheng, Yi Cheng, Gang Ma, Xue Han and Liukai Yu
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Junjun Zheng: Economics and Management School, Wuhan University, Wuhan 430072, China
Yi Cheng: Economics and Management School, Wuhan University, Wuhan 430072, China
Gang Ma: Economics and Management School, Wuhan University, Wuhan 430072, China
Xue Han: Economics and Management School, Wuhan University, Wuhan 430072, China
Liukai Yu: Economics and Management School, Wuhan University, Wuhan 430072, China

Sustainability, 2020, vol. 12, issue 16, 1-22

Abstract: The demand to alleviate urban traffic and reduce air pollution puts forward high requirements for green travel in public transportation. Thus, study of the feasibility of urban green travel in public transportation is necessary. This study focuses on it from two aspects: City level by complex network and individual level by structural equation model. As for the former, point of interest data on the spatial distribution of urban public transportation in Wuhan city are quantitatively analyzed. Then, a complex network of public transportation in Wuhan is constructed by using the Space L method, and the network characteristics are analyzed. Results show that accessibility coverage is mainly concentrated in the central urban area, and two significant central nodes exist, namely, Linshi and Zhaohu stations. At the individual level, 354 valid questionnaires and the structural equation model were used to explore the factors affecting individual intention of public transportation. Behavioral perceptual outcome, behavioral attitudes, and subjective norms have positive influences on the behavioral intention of public transportation, among which the behavioral attitudes are the most significant, and the subjective norms had the lowest influence. Some suggestions are proposed for Wuhan to improve urban accessibility and for individuals to increase green travel in public transportation.

Keywords: complex network; green travel; structural equation model; theory of planned behavior (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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