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The Psychological Decision-Making Process Model of Giving up Driving under Parking Constraints from the Perspective of Sustainable Traffic

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  • Pan Shuangli

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China
    School of Logistics and Transportation, Central South University of Forestry and Technology, Changsha 410004, China)

  • Zheng Guijun

    (School of Business, Central South University of Forestry and Technology, Changsha 410004, China)

  • Chen Qun

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China)

Abstract

Parking restrictions can affect the use of cars and become an effective means to promote the sustainable development of urban traffic. To understand the influencing factors of car owners giving up driving due to parking constraints, the research constructs a theoretical model of psychological decision process about giving up driving under parking constraints, based on the Theory of Planned Behavior (TPB), and taking the public transit perception as a mediating variable, considering psychological factors. The empirical data were used to verify and modify the model by the Structural Equation Model (SEM) method, and finally the model was determined. The result shows that the choice of travel mode under the constraint of parking berth is not only affected by individual social and economic attributes and travel mode characteristics, but also by psychological latent variables such as behavioral attitude, subjective norms, perceived behavior control, public transportation perception and behavior intention. The subjective norms of car owners about giving up driving have a positive effect on perceived behavioral control and behavioral attitude; perceived behavior control also has an effect on behavior attitude; the behavior attitudes, subjective norms and perceived behavior control all have positive effects on the behavior intention of giving up driving due to parking constraints, among which public transit perception plays a positive adjustable intermediary role. The Integration of Choice and Latent Variable (ICLV) model considering psychological latent variables has a higher fitting degree to empirical data than the traditional Multinomial Logit (MNL) model. Based on the analysis results, some suggestions for auxiliary measures to implement the optimization strategy of parking supply are put forward.

Suggested Citation

  • Pan Shuangli & Zheng Guijun & Chen Qun, 2020. "The Psychological Decision-Making Process Model of Giving up Driving under Parking Constraints from the Perspective of Sustainable Traffic," Sustainability, MDPI, vol. 12(17), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:7152-:d:407608
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    References listed on IDEAS

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    1. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    2. Ben-Akiva, Moshe & McFadden, Daniel & Train, Kenneth & Börsch-Supan, Axel, 2002. "Hybrid Choice Models: Progress and Challenges," Sonderforschungsbereich 504 Publications 02-29, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    3. dell'Olio, Luigi & Ibeas, Angel & Cecin, Patricia, 2011. "The quality of service desired by public transport users," Transport Policy, Elsevier, vol. 18(1), pages 217-227, January.
    4. Rotaris, Lucia & Danielis, Romeo, 2014. "The impact of transportation demand management policies on commuting to college facilities: A case study at the University of Trieste, Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 127-140.
    5. Khandker M. Nurul Habib & Md. Hamid Zaman, 2012. "Effects of incorporating latent and attitudinal information in mode choice models," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(5), pages 561-576, June.
    6. Xiao, Ling-Ling & Liu, Tian-Liang & Huang, Hai-Jun, 2016. "On the morning commute problem with carpooling behavior under parking space constraint," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 383-407.
    7. Tyrinopoulos, Yannis & Antoniou, Constantinos, 2008. "Public transit user satisfaction: Variability and policy implications," Transport Policy, Elsevier, vol. 15(4), pages 260-272, July.
    8. Nielsen, Otto Anker, 2000. "A stochastic transit assignment model considering differences in passengers utility functions," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 377-402, June.
    9. Mingardo, Giuliano & van Wee, Bert & Rye, Tom, 2015. "Urban parking policy in Europe: A conceptualization of past and possible future trends," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 268-281.
    10. Kroesen, Maarten, 2014. "Modeling the behavioral determinants of travel behavior: An application of latent transition analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 56-67.
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