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http://dx.doi.org/10.12815/kits.2019.18.1.1

Determining Fare Discount Level for MaaS Implementation - Based on Time and Cost Changes -  

Lee, Ja Young (LG CNS Co., Ltd. (Entrue Consulting))
Im, I Jeong (Department of Urban Planning, Hongik University)
song, Jae in (SmartIndividuals Pte.)
Hwang, Kee Yeon (Department of Urban Planning, Hongik University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.18, no.1, 2019 , pp. 1-13 More about this Journal
Abstract
With commercial apps popular in EU, MaaS has been emerging around the globe as a new approach to worsening urban traffic problems. In contrast, it is still mainstay in Korea simply discussing the concept and necessities of MaaS, rather than seeking for real-world solutions for the commercialization. The purpose of this research is to analyze the demand-side i1mpacts of travel time and cost changes according to MaaS adoption, and to see its commercial feasibility in Korea. The 2010 KTDB traveler's nationwide OD data is used to estimate the level of fare discount for balancing the mode shift and fare revenue changes followed by MaaS implementation. The analysis results show that MaaS leads to the increase of public transport ridership as a result of the diminishing travel cost and time, and that the time saving works more positively for ridership increase. Also, the optimum level of fare discount is estimated 2.56% without damaging the revenue. This finding reveals that MaaS impact is superior to the other single-sided public transport inventive measures since it can affect both travel cost and time reduction at the same time.
Keywords
Mobility as a Service; Demand-side impact; Commercial feasibility; Optimum fare discount rate;
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  • Reference
1 CATAPIULT(2015), The Transport Data Revolution, www.ts.catapult.org.uk
2 DESA, World Urbanization Prospects 2018, UNITED NATIONS.
3 Finger M. et al.(2015). "Mobility as-a-Service: from the Helsinki experiment to a European model?", 3rd European Intermodal Transport Regulation Summary.
4 Heikkila S.(2014), Mobility as a Service - A Proposal for Action for the Public Administration, Case Helsinki.
5 Im, I. J.(2017), "Development status and implications of Mobility as a Service," RoadBrief, no. 116, pp.6-7.
6 Kamargianni M., Matyas M., Li W. and Schafer A.(2015), Feasibility Study for "Mobility as a Service, concept in London, Report-UCL Energy Institute and Department for Transport.
7 Kerttu et al.(2016), "Understanding institutional enablers and barriers to the dissemination of MaaS: A tentative framework," ICoMaaS 2017, pp.204-208.
8 Kwon Y. J.(2016), "A Study on the Innovation and Improvement of Future Transportation Management," Monthly KOTI Magazine on Tranport, pp.21-28.
9 Li Y. and Voege T.(2017). "Mobility as a Service (MaaS): challenges of implementation and policy required," Journal of Transportation Technologies, vol. 7, no. 2, pp.e95-e95.   DOI
10 MaaS Alliance(2017), "White Paper - Guidelines & Recommendations to create the foundations for a thriving MaaS Ecosystem," MaaS Alliance AISBL, www.maas-alliance.eu, 2018.10.15.
11 MaaS Global(2017), http://whimapp.com, 2018.10.15.
12 Melis A., Prandini M., Giallorenzo S. and Callegati F.(2017), "Insider threats in emerging mobility-as-a-service scenario," In Proceedings of the 50th Hawaii International Conference on System Sciences.
13 Mourey T. and Dagmar K.(2017), Sharing gets you further, Thematic Guidelines European Mobility Week 16-22 september 2017.
14 OECD ITF(2017), Shared Mobility Simulations for Helsinki, Case-Specific Policy Analysis, October 2017.
15 Jang B. H.(2017), Changes in Future Transportation and Implications in the Automotive Industry, Weekly KDB Report.
16 Seo W. H. and Hwang K. Y.(2016), "Urban transport changes from ownership to sharing, mature city of Seoul," Seoul Institute, pp.194-228.