Welcome to Francis Academic Press

The Frontiers of Society, Science and Technology, 2022, 4(12); doi: 10.25236/FSST.2022.041204.

Public transport travel mode chain and its implications for commute satisfaction: Take Xi'an as an example

Author(s)

Liu Muhua

Corresponding Author:
Liu Muhua
Affiliation(s)

Tourism College and Institute of Human Geography, Xi'an International Studies University, Xi'an, China

Abstract

The continuous expansion of urban population and space scale, the continuous increase of daily average traffic trips and per capita travel distance, and the increasingly frequent urban economic activities have formed diversified travel demands. Based on the survey data, this study combs the commuter travel mode chain of Xi'an with public transport as the main body, and explores the satisfaction of current commuter bus passengers. First of all, the impact factors of each link of the public transport travel mode chain are sorted out. Based on the three levels of reachability, accessibility and connectivity, this paper proposes an evaluation index system of urban public transport commuting service, including convenience, safety, comfort, reliability and other specific indicators. Secondly, the commuting satisfaction evaluation scale is constructed to evaluate the subjective experience of travellers in the travel process. The results show that there is a gap between the expectation of commuters and the perception of public transport service attributes. Among them, "convenience" and "comfort" of public transport are the most important service quality attributes related to the satisfaction of commuters, and residents are the least satisfied with the convenience of transit, and public transport lines fail to meet the commuting needs of some residents. When transport operators provide services that meet passengers' expectations, passenger satisfaction and PBT utilization rate will be improved, service quality of public transport mode chain will be improved, sustainable transport will be promoted, and energy consumption and emissions will be reduced.

Keywords

Public transportation; Travel mode chain; Commuter satisfaction

Cite This Paper

Liu Muhua. Public transport travel mode chain and its implications for commute satisfaction: Take Xi'an as an example. The Frontiers of Society, Science and Technology (2022) Vol. 4, Issue 12: 36-42. https://doi.org/10.25236/FSST.2022.041204.

References

[1] Luan Kun, Jun Zhicai, Zong Fang. Research on commuter travel mode and travel chain selection behavior [J]. Highway Traffic Science and Technology, 2010, 27 (06): 107-111.

[2] Yang Min, Chen Xuewu, Wang Wei, Wan Tao. Study on the Choice Behavior of Simple Chain and Complex Chain of Commuting [J]. Journal of Wuhan University of Technology (Transportation Science and Engineering Edition), 2008 (02): 191-194.

[3] Zhao Xin, Guan Hongzhi, Liu Shixu. Research on the combination of family holiday travel modes with cars based on the travel chain [J]. Journal of Wuhan University of Technology (Transport Science and Engineering Edition), 2011, 35 (06): 1139-1142.

[4] Jiang Jiagao Research on Public Transport Travel Chain [D]. Kunming University of Technology, 2013.

[5] Yang Liu. Research on the choice behavior of urban commuting travel chain mode [J]. Science and Technology Information, 2012 (07): 226-229.

[6] Wang Xiaokun, Rao Qiuli, Tang Chunyan, Ge Yingen. The interaction between the type of commuter travel chain and the choice of travel mode [J]. Transportation System Engineering and Information, 2014, 14 (02): 144-149.

[7] Shao Yuan, Fan Yingling, Jiang Jie, Ouyang Xinjia, Roland Brown. Research on travel happiness based on travel chain and emotional perception [J]. Urban Transport, 2019, 17 (04): 1-7.

[8] Yan Hai, Jin Luning, Wang Pengfei. The impact of subjective well-being of car commuters on travel mode choice [J]. Urban Transport, 2019, 17 (02): 119-126.

[9] Meng Bin, Zhan Dongsheng, Hao Lirong Spatial Difference Analysis of Beijing Residents' Commuting Satisfaction Based on Social Attributes [J] Geography Science, 2013,33 (04): 410-417.

[10] Jia Xiaopeng, Meng Bin, Zhang Yuanyuan. Analysis of the ResidentsCommuting Behavior in Different Communities in Beijing City [J]. Regional Research and Development, 2015, 34 (01): 55-59+70.

[11] Wu Jiangjie, Sun Bindong Happy performance of commuting time: an empirical study based on China's family tracking survey [J] Human Geography, 2016,31 (03): 33-39.

[12] Wang Deqi and Xu Feifei. Analysis of Beijing residents' commuting situation based on the questionnaire survey [J]. Research on Urban Development, 2010, 17 (12): 98-105.

[13] Ye X, Pendyala R M, Gottardi G. An exploration of the relationship between mode choice andcomplexity of trip chaining patterns[J]. Transportation Research Part B, 2007, 41(1): 96-113.

[14] Redman L, Friman M, G ä rling T, et al. Quality attributes of public transport that attribute car users: A research review [J] Transport policy, 2013, 25: 119-127.

[15] Morris E A, Guerra E. Are we there yet? Trip duration and mood during travel[J]. Transportation research part F: traffic psychology and behavior, 2015, 33: 38-47.

[16] Ory D T, Mokhtarian P L. When is getting there half the fun? Modeling the liking for travel [J]. Transportation Research Part A: Policy and Practice, 2005, 39(2-3): 97-123.

[17] Zikmund V. Health, well being, and the quality of life: some psychological reflections [J]. Neuro Endocrinology Letters, 2003, 24 (6): 401-403 The role of well-being in transport policy [J]. Transport Policy, 2012, 23: 25-33.

[18] Zikmund V. Health, well being, and the quality of life: some psychological reflections [J]. Neuro Endocrinology Letters, 2003, 24(6):401-403.

[19] Liu Zhilin, Wang Maojun Analysis of the impact of the dislocation of work and living space on residents' commuting behavior in Beijing -- a discussion based on employment accessibility and commuting time [J] Journal of Geography, 2011, 66 (4): 457-467.

[20] Wu Jiaorong and Zhou Guanyu Analysis on the Characteristics and Efficiency Evaluation of Shanghai Residents' Commuting Mode Chain [J] Urban Transport, 2017, 15 (02): 67-76+31.

[21] Shen Lifan, Wang Ye, Zhang Chun, Jiang Dongrui, Li He. Research on the relationship between the built environment and rail commuting within the reasonable walking range of rail stations - Taking 44 rail stations in Beijing as an example [J]. Journal of Geography, 2018, 73 (12): 2423-2439.

[22] Ettema D, G ä rling T, Olsson L E, et al. Out of home activities, daily travel, and subjective well being [J] Transportation Research Part A: Policy and Practice, 2010, 44(9): 723-732.