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Decision-Making Process for Demand Response Public Transportation Service Design—A Case Study in Incheon, Korea

Author

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  • Chang-Gyun Roh

    (Smart Mobility Research Center, Department of Future Technology and Convergence Research, Korea Institute of Civil Engineering and Building Technology, Gyeonggi 10223, Korea)

  • Hyeonmyeong Jeon

    (ITS Performance Evaluation Center, Korea Institute of Civil Engineering and Building Technology, Gyeonggi 10223, Korea)

Abstract

Incheon is a major city comprising the metropolitan area around Seoul. However, it ranks the lowest in terms of road extension scale relative to population and number of vehicles. There is extreme traffic congestion and shortages of parking spaces in downtown Incheon, impacting traffic. Alternative policies of the municipal government to address these issues, including road extension and improving public transportation, have not shown results because of the low satisfaction level of the public transportation service and limited transportation mode transfer owing to travel within the metropolitan area. Therefore, to improve the public transportation service, conducting a comprehensive analysis on the current service and improving its quality were deemed necessary. Additionally, adopting a demand response public transportation service was considered. In conjunction, objective and easy-to-use data should be used, so that if anyone repeats the procedure, the same result should be obtained. For this, we propose the simplest process. Thus, to introduce the service, this study presents a decision-making process by establishing a regional prioritizing methodology based on the transportation environment satisfaction level, average access time to major facilities, public transportation competitiveness, personal vehicle demand, and existing public transit routes. To assess the methodology feasibility and conformity, user satisfaction was analyzed in Jung-gu, Incheon. The analysis showed 91% user satisfaction, verifying that the demand response public transportation service was effectively supplied. This analysis process will be useful when applying and expanding new transportation services.

Suggested Citation

  • Chang-Gyun Roh & Hyeonmyeong Jeon, 2021. "Decision-Making Process for Demand Response Public Transportation Service Design—A Case Study in Incheon, Korea," Sustainability, MDPI, vol. 13(10), pages 1-19, May.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5574-:d:555967
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    1. Pauline Zardo & Adrian G Barnett & Nicolas Suzor & Tim Cahill, 2018. "Does engagement predict research use? An analysis of The Conversation Annual Survey 2016," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-21, February.
    2. Velaga, Nagendra R. & Beecroft, Mark & Nelson, John D. & Corsar, David & Edwards, Peter, 2012. "Transport poverty meets the digital divide: accessibility and connectivity in rural communities," Journal of Transport Geography, Elsevier, vol. 21(C), pages 102-112.
    3. Steve Wright, 2013. "Designing flexible transport services: guidelines for choosing the vehicle type," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(1), pages 76-92, February.
    4. Elisabetta Vitale Brovarone & Giancarlo Cotella, 2020. "Improving Rural Accessibility: A Multilayer Approach," Sustainability, MDPI, vol. 12(7), pages 1-20, April.
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