Volume 40 Issue 2
Apr.  2022
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Article Navigation >  Journal of Transport Information and Safety  > 2022  >  40(2): 145-154
AN Meng, CHEN Xuewu, DU Jiang. Behavior Preference in the Decisions-making Process for Streetcar Development Considering Heterogeneity Within the Clusters of Urban Residents[J]. Journal of Transport Information and Safety, 2022, 40(2): 145-154. doi: 10.3963/j.jssn.1674-4861.2022.02.017
Citation: AN Meng, CHEN Xuewu, DU Jiang. Behavior Preference in the Decisions-making Process for Streetcar Development Considering Heterogeneity Within the Clusters of Urban Residents[J]. Journal of Transport Information and Safety, 2022, 40(2): 145-154. doi: 10.3963/j.jssn.1674-4861.2022.02.017
shu

Behavior Preference in the Decisions-making Process for Streetcar Development Considering Heterogeneity Within the Clusters of Urban Residents

doi: 10.3963/j.jssn.1674-4861.2022.02.017
  • 1.

    School of Transportation, Southeast University, Nanjing 211189, China

  • 2.

    Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China

  • 3.

    Chongqing Urban Construction Research Center, Chongqing 400020, China

  • Received Date: 2021-12-20
    Available Online: 2022-05-18
    Abstract
  • Considering the survey for streetcar development as a part of decision-making process, travelers are divided into different clusters according to their heterogeneous characteristics such as personal attributes, travel purposes, and travel modes. A study on decisions-making preference to streetcar development based on the cluster heterogeneity is then carried out. Based on a questionnaire survey with Stated Preference (SP) and Revealed Preference (RP), data of personal attributes and characteristics of decision-making preference of different clusters are collected. The data has been obtained with multiple measurements in different travel groups and scenarios, considering the influences of multi-level factors, i.e. environmental factors, personal socio-economic attributes, and travel demands, on behavioral preference in the decisions-making process for streetcar development. A multilevel logistic model is used to develop a model with cluster heterogeneity. Parameters of the model are estimated using three heterogeneous cluster samples, i.e. commuting scenario with public transportation, traveling other than commuting scenario with public transportation, and traveling with private transportation scenario. The results show that: ①Individual's perception of tram technology have no impact on the preference for its development.②Negative effect of increasing age on the preference for tram development gradually decreases in the same heterogeneous group, which indicates the preference for tram development gradually increases with age, and this trend is more significant in the traveling other than commuting scenario of public transportation.③The number of available cars has significant negative influence on the preference of tram development in all heterogeneous groups. Study results show that the higher the number of available cars in the household, the lower the support of individuals for tram development. ④Both travel time and cost have significant negative effects on preferences for tram development, as the support for tram development tends to decrease as travel time or travel cost increases, and it is also found that travel groups are more sensitive such a negative impact under the perception of the skeletal transportation function than that under the perception of quality transportation function.

     

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    • References(24)
  • [1]
    马莹莹, 陆思园, 张晓明, 等. 考虑个体风险偏好差异的高速公路出行选择模型[J]. 吉林大学学报(工学版), 2021, 51 (5): 1673-1683. https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY202105014.htm

    MA Y Y, LU S Y, ZHANG X M, et al. Model of highway travel selection considering individual risk preference difference[J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(5): 1673-1683.( in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY202105014.htm
    [2]
    李军, 贾顺平, 王瑜琼, 等. 旅客购票模式与渠道关联选择行为的建模分析[J]. 交通运输系统工程与信息, 2019, 19(3): 176-181+194. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201903026.htm

    LI J, JIA S P, WANG Y Q, et al. Modeling analysis of related choice for passenger ticketing mode and channel[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(3): 176-181+194.( in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201903026.htm
    [3]
    姚恩建, 陈伟迪, 卢天伟, 等. 考虑出行者选择偏好的出行方式选择模型[J]. 北京交通大学学报, 2020, 44(1): 42-48. doi: 10.11860/j.issn.1673-0291.20190072

    YAO E J, CHEN W D, LU T W, et al. Transportation mode selection model considering traveler's personal preferences[J]. Journal of Beijing Jiaotong University, 2020, 44(1): 42-48.( in Chinese) doi: 10.11860/j.issn.1673-0291.20190072
    [4]
    刘少博, 张鑫泽, 李艺玮, 等. 地铁站人员疏散路径选择行为分析及Logit建模[J]. 交通信息与安全, 2019, 37(2): 91-98. doi: 10.3963/j.issn.1674-4861.2019.02.013

    LIU S B, ZHANG X Z, LI Y W, et al. Analyses and logit models of route choice behaviors during metro station evacuation[J]. Journal of Transport Information and Safety, 2019, 37(2): 91-98.( in Chinese) doi: 10.3963/j.issn.1674-4861.2019.02.013
    [5]
    左利兴. 多层LOGIT模型的理论分析研究[J]. 道路交通与安全, 2010, 10(2): 27-30. https://www.cnki.com.cn/Article/CJFDTOTAL-DLJA201002008.htm

    ZUO L X. Theoretical analysis of Nest Logit Model[J]. Journal of Transportation Engineering, 2010, 10(2): 27-30. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DLJA201002008.htm
    [6]
    胡严艺, 蒲政, 王沛. 基于Logit模型的碳排放收费对居民出行方式选择的研究[J]. 交通运输工程与信息学报, 2018, 16(4): 57-62. doi: 10.3969/j.issn.1672-4747.2018.04.008

    HU Y Y, PU Z, WANG P. Study on the impacts of traffic carbon emission pricing on resident trip behavior using logit model[J]. Journal of Transportation Engineering and Information, 2018, 16(4): 57-62.( in Chinese) doi: 10.3969/j.issn.1672-4747.2018.04.008
    [7]
    张新洁, 关宏志, 赵磊, 等. 有限理性视野下出行者出行方式选择分层Logit模型研究[J]. 交通运输系统工程与信息, 2018, 18(6): 110-116. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201806016.htm

    ZHANG X J, GUAN H Z, ZHAO L, et al. Nested logit model on travel mode choice under bounded rational view[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(6): 110-116.( in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201806016.htm
    [8]
    李亚平. 价格调控策略对城市居民出行方式决策行为的影响研究[D]. 南京: 东南大学, 2018.

    LI Y P. Impacts of pricing strategies on travel mode choice behavior of urban resident[D]. Nanjing: Southeast University, 2018.( in Chinese)
    [9]
    姚丽亚, 孙立山, 关宏志. 基于分层Logit模型的交通方式选择行为研究[J]. 武汉理工大学学报(交通科学与工程版), 2010, 34(4): 738-741. doi: 10.3963/j.issn.1006-2823.2010.04.023

    YAO L Y, SUN L S, GUAN H Z. Study on modal split method based on nested logit model[J]. Journal of Wuhan University of Technology(Transportation Science & Engineering), 2010, 34(4): 738-741.( in Chinese) doi: 10.3963/j.issn.1006-2823.2010.04.023
    [10]
    程亚鹏. 住房市场嵌套结构与价格变动的多层模型实证研究[J]. 系统工程, 2018, 36(8): 71-78. doi: 10.3969/j.issn.1001-2362.2018.08.046

    CHENG Y P. Empirical research on the nested housing market structure and price variation based on a multilevel model[J]. Systems Engineering, 2018, 36(8): 71-78.( in Chinese) doi: 10.3969/j.issn.1001-2362.2018.08.046
    [11]
    黄晓燕, 曹小曙, 殷江滨, 等. 城市轨道交通和建成环境对居民步行行为的影响[J]. 地理学报, 2020, 75(6): 1256-1271. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB202006013.htm

    HUANG X Y, CAO X S, YIN J B, et al. The influence of urban transit and built environment on walking[J]. Acta Geographica Sinica, 2020, 75(6): 1256-1271.( in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB202006013.htm
    [12]
    SOHN S Y, CHOI H. Random effects logistic regression model for data envelopment analysis with correlated decision making units[J]. Journal of the Operational Research Society, 2017, 57(5): 552-560.
    [13]
    EUN J, JIYEONG K, HYUNJUNG K. Does environmental walkability matter? The role of walkable environment in active commuting[J]. International Journal of Environmental Research and Public Health, 2020, 17(4): 1261 doi: 10.3390/ijerph17041261
    [14]
    ZHAO P, LI S. Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing[J]. Transportation Research Part A: Policy & Practice, 2017(99): 46-60.
    [15]
    吴密霞. 混合效应模型估计理论及方法[D]. 北京: 北京工业大学, 2004.

    WU M X. Mixed effect model estimation theory and method[D]. Beijing: Beijing University of Technology, 2004. (in Chinese)
    [16]
    王济川, 谢海义, 姜宝法. 多层统计分析模型: 方法与应用[M]. 北京: 高等教育出版社, 2008.

    WANG J C, XIE H Y, JIANG B F. Multilevel models: methods and applications[M]. Beijing: Higher Education Press, 2008.( in Chinese)
    [17]
    CZADO C, PROKOPENKO S. Modelling transport mode decisions using hierarchical logistic regression models with spatial and cluster effects[J]. Statistical Modelling an Interna tional Journal, 2008, 8(4): 315-345. doi: 10.1177/1471082X0800800401
    [18]
    GREEN P J. Penalized likelihood for general semi-paramet-ric regression models[J]. International Statistical Review, 1987, 55, 245-259. doi: 10.2307/1403404
    [19]
    ROBINSON G K. That BLUP is a good thing: the estimation of random effects[J]. Statistical Science, 1991(6): 15-51.
    [20]
    RAMOS L E, BROWN J, NIXON H. The streetcar resurgence in the United States: Transit strategy, growth-machine tactic, or some of both?[J]. Transportation Research Record Journal of the Transportation Research Board, 2016(2540): 30-38.
    [21]
    RAMOS L.E., BROWN J, NIXON H. The Transit Performance of Modern-Era Streetcars: A Consideration of Five U. S. Cities[J]. Transportation Research Record Journal of the Transportation Research Board, 2015(2534): 57-67.
    [22]
    孙嘉. 基于功能分析的现代有轨电车适应性后评估研究[D]. 南京: 东南大学, 2019.

    SUN J. Post-evaluation of adaptability of modern trams based on functional analysis[D]. Nanjing: Southeast University, 2019.( in Chinese)
    [23]
    邴雪, 张玉一, 王英杰, 赵一北. 基于功能定位的有轨电车运营提升策略研究[J]. 交通工程, 2020, 20(6): 69-74.

    BING X, ZHANG Y Y, WANG Y J, et al. Study on the strategy of tram operation improvement based on functional positioning[J]. Journal of Transportation Engineering, 2020, 20(6): 69-74.( in Chinese)
    [24]
    黎冬平. 有轨电车在多层次轨道交通中的应用思考[J]. 城市轨道交通, 2021(6): 43-45. https://www.cnki.com.cn/Article/CJFDTOTAL-CSGD202106021.htm

    LI D P. Reflections on the application of trams in multi-level rail transportation[J]. Urban Mass Transit, 2021(6): 43-45. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CSGD202106021.htm
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