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Operational strategy of customized bus considering customers’ variety seeking behavior and service level

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  • Liu, Jiaguo
  • Zhao, Huida
  • Li, Jian
  • Yue, Xiaohang

Abstract

In recent years, customized bus (CB) is becoming an innovative model of the public transport system (PTS) in China. This service provides an advanced, timely, personalized, and flexible responses to the demand of the PTS, especially of commuters. Obviously, it could have an impact on public transport (PT) service. For instance, CB services influence the customers' variety-seeking behavior, which results in changes of customer options in different periods. Therefore, customers could be divided into different groups of preference. In this paper, we construct a two-period Hotelling game model by variety-seeking behavior and service level. The results show that, in the first stage, the departure frequency of CB and PT is influenced by variety-seeking behavior and service level. In the second stage, departure frequency is influenced by service level only. Next, although the departure frequency of bus impacts the changes of passenger ratios in different stages, service level appreciably impacts passenger number. From customer surplus and social welfare, we find that adjustment of service level can increase social welfare, which means that CB and PT will reach an optimum effect. The present work can provide a valuable reference to policymakers, practitioners, and others.

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  • Liu, Jiaguo & Zhao, Huida & Li, Jian & Yue, Xiaohang, 2021. "Operational strategy of customized bus considering customers’ variety seeking behavior and service level," International Journal of Production Economics, Elsevier, vol. 231(C).
    • Handle: RePEc:eee:proeco:v:231:y:2021:i:c:s092552732030219x
    DOI: 10.1016/j.ijpe.2020.107856
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    1. Jiancheng Weng & Xiaojian Di & Chang Wang & Jingjing Wang & Lizeng Mao, 2018. "A Bus Service Evaluation Method from Passenger’s Perspective Based on Satisfaction Surveys: A Case Study of Beijing, China," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    2. Xiang Li & Guohua Sun & Yongjian Li, 2016. "A multi-period ordering and clearance pricing model considering the competition between new and out-of-season products," Annals of Operations Research, Springer, vol. 242(2), pages 207-221, July.
    3. Yuen, Kum Fai & Thai, Vinh V. & Wong, Yiik Diew & Wang, Xueqin, 2018. "Interaction impacts of corporate social responsibility and service quality on shipping firms’ performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 397-409.
    4. Ahn, Yuchan & Han, Jeehoon, 2018. "Economic optimization of integrated network for utility supply and carbon dioxide mitigation with multi-site and multi-period demand uncertainties," Applied Energy, Elsevier, vol. 220(C), pages 723-734.
    5. Hörcher, Daniel & Graham, Daniel J., 2018. "Demand imbalances and multi-period public transport supply," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 106-126.
    6. Yang Cao & Jian Wang, 2017. "An Optimization Method of Passenger Assignment for Customized Bus," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-9, June.
    7. Wang, Chao & Ma, Changxi & Xu, Xuecai(Daniel), 2020. "Multi-objective optimization of real-time customized bus routes based on two-stage method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    8. Jeong, Yuncheol & Maruyama, Masayoshi, 2018. "Positioning and pricing strategies in a market with switching costs and staying costs," Information Economics and Policy, Elsevier, vol. 44(C), pages 47-57.
    9. McAlister, Leigh, 1982. "A Dynamic Attribute Satiation Model of Variety-Seeking Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(2), pages 141-150, September.
    10. Ratner, Rebecca K & Kahn, Barbara E, 2002. "The Impact of Private versus Public Consumption on Variety-Seeking Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(2), pages 246-257, September.
    11. Niu, Baozhuang & Chen, Lei & Liu, Yaoqi & Jin, Yong, 2019. "Joint price and quality decisions considering Chinese customers' variety seeking behavior," International Journal of Production Economics, Elsevier, vol. 213(C), pages 97-107.
    12. Liu, Tao & Ceder, Avishai (Avi), 2015. "Analysis of a new public-transport-service concept: Customized bus in China," Transport Policy, Elsevier, vol. 39(C), pages 63-76.
    13. Zhiling Han & Yanyan Chen & Hui Li & Kuanshuang Zhang & Jiyang Sun, 2019. "Customized Bus Network Design Based on Individual Reservation Demands," Sustainability, MDPI, vol. 11(19), pages 1-25, October.
    14. Hao, Jingjing & Zhang, Ling & Ji, Xiaofeng & Tang, Jinjun, 2020. "Modeling and analyzing of family intention for the customized student routes: A case study in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    15. Aydin, Nezir, 2017. "A fuzzy-based multi-dimensional and multi-period service quality evaluation outline for rail transit systems," Transport Policy, Elsevier, vol. 55(C), pages 87-98.
    16. Xin, Baogui & Sun, Minghe, 2018. "A differential oligopoly game for optimal production planning and water savings," European Journal of Operational Research, Elsevier, vol. 269(1), pages 206-217.
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    3. Chen, Feng & Peng, Haorong & Ding, Wenlong & Ma, Xiaoxiang & Tang, Daizhong & Ye, Yipeng, 2021. "Customized bus passenger boarding and deboarding planning optimization model with the least number of contacts between passengers during COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    4. Mohammad Asghari & Seyed Mohammad Javad Mirzapour Al-E-Hashem & Yacine Rekik, 2022. "Environmental and social implications of incorporating carpooling service on a customized bus system," Post-Print hal-03598768, HAL.
    5. Chen, Feng & Xu, Su Xiu & Ning, Yu & Ji, Xiang & Ren, Yaping, 2024. "Compatible electric vehicle charging service: Blessing or curse?," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
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    7. Li Liu & Zhe Wang & Jiangtao Xu & Zaisheng Zhang, 2023. "Green baton: how government interventions advance green technological innovation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11121-11152, October.
    8. Shang, Huayan & Chang, Yi & Huang, Haijun & Zhao, Fangxia, 2022. "Integration of conventional and customized bus services: An empirical study in Beijing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

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