Identifying the relationship between intention to use flat-rate public transport and trip frequency by a discrete-continuous model
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Amore MD, Murtinu S (2021) Tobit models in strategy research: Critical issues and applications. Global Strategy J 11(3):331–355. https://doi.org/10.1002/gsj.1363
Ballou DP, Mohan L (1981) A decision model for evaluating transit pricing policies. Transp Res Part A Gener 15(2):125–138. https://doi.org/10.1016/0191-2607(81)90078-9
Brechan I (2017) Effect of price reduction and increased service frequency on public transport travel. J Public Transp 20(1):139–156. https://doi.org/10.5038/2375-0901.20.1.8
Brown J, Hess DB, Shoup D (2003) Fare-free public transit at universities: An evaluation. J Plan Educ Res 23(1):69–82. https://doi.org/10.1177/0739456X03255430
Cats C, Susilo Y-O, Reimal T (2017) The prospects of fare-free public transport: evidence from Tallinn. Transportation 44:1083–1104. https://doi.org/10.1007/s11116-016-9695-5
Cervero R (1982) The transit pricing evaluation model: a tool for exploring fare policy options. Transp Res Part A Gener 16(4):313–323. https://doi.org/10.1016/0191-2607(82)90058-9
Daskin MS, Schofer JL, Haghani AE (1988) A quadratic programming model for designing and evaluating distance-based and zone fares for urban transit. Transp Res Part B Methodolog 22(1):25–44. https://doi.org/10.1016/0191-2615(88)90032-X
Farber S, Bartholomew K, Li X, Páez A, Habib KMN (2014) Assessing social equity in distance based transit fares using a model of travel behavior. Transp Res Part A Policy Pract 67:291–303. https://doi.org/10.1016/j.tra.2014.07.013
Fujigaki Y, Takami K, Ohmori N, Harata N (2014) Feasibility study of flat-rate shared-ride taxi services with high convenience in major metropolitan suburban area—a case study in a residential district in Tajimi City. J City Plan Inst Japan 49(3):369–374. https://doi.org/10.11361/journalcpij.49.369
Fujigaki Y, Takami K, Parady G-T, Harata N (2017) “Metro-MaaS”, an integrated mobility service concept for megacities—concept proposal and demand evaluation aiming at future integration of autonomous demand-responsive-transit and existing public transportation. J City Plan Inst Jpn 52(3):833–840. https://doi.org/10.11361/journalcpij.52.833. (in Japanese)
Fujii S, Kitamura R (2003) What does a one-month free bus ticket do to habitual drivers? An experimental analysis of habit and attitude change. Transportation 30:81–95. https://doi.org/10.1023/A:1021234607980
Fukuda D, Chikaraishi M (2013) A review on discrete-continuous models. J Jpn Soc Civ Eng Ser. D3 (Infrastructure Planning and Management) 69(5):I_497-I_510. https://doi.org/10.2208/jscejipm.69.I_497. (in Japanese)
Ghimire R, Lancelin C (2019) The relationship between financial incentives provided by employers and commuters’ decision to use transit: results from the Atlanta regional household travel survey. Transp Policy 74:103–113. https://doi.org/10.1016/j.tranpol.2018.11.005
Guo Q, Sun Y, Schonfeld P, Li Z (2021) Time-dependent transit fare optimization with elastic and spatially distributed demand. Transp Res Part A Policy Pract 148:353–378. https://doi.org/10.1016/j.tra.2021.04.002
Hamre A, Buehler R (2014) Commuter mode choice and free car parking, public transportation benefits, showers/lockers, and bike parking at work: evidence from the Washington, DC region. J Public Transport 17(2):67–91. https://doi.org/10.5038/2375-0901.17.2.4
Hensher DA (1998) Establishing a fare elasticity regime for urban passenger transport. JTEP 32(2):221–246
Hensher DA, King J (1998) Establishing fare elasticity regimes for urban passenger transport: time-based fares for concession and non-concession markets segmented by trip length. J Transport Stat 1(1):43–61. https://doi.org/10.21949/1501474
Jittrapirom P, Caiati V, Feneri A-M, Ebrahimigharehbaghi S, Alonso M-J, Narayan J (2017) Mobility as a service: a critical review of definitions, assessments of schemes, and key challenges. Urban Plan 2(2):13–25. https://doi.org/10.17645/up.v2i2.931
Lambrecht A, Skiera B (2006) Paying too much and being happy about it: existence, causes, and consequences of tariff-choice biases. J Mark Res 43(2):212–223. https://doi.org/10.1509/jmkr.43.2.212
MaaS Global (2022) Whim travel by MaaS Global, https://maas.global/, Accessed 1 Nov 2022
Ministry of Land, Infrastructure, Transport and Tourism (MLIT) (2019) White Paper on Land, Infrastructure, Transport and Tourism in Japan. https://www.mlit.go.jp/common/001325161.pdf. Accessed 7 Aug 2023
Murai F, Shiomi Y (2019) A feasibility study on subscription bus services. J Jpn Soc Civ Eng Ser. D3 Infrastruct Plan Manag 75(5):1177–1187. https://doi.org/10.2208/jscejipm.75.I_1177
Myung-Jin J, Ji-Eun J, Hyun-Ju A (2018) The welfare effects of the free subway fare scheme for seniors: a discrete choice approach with the case of Seoul. Case Stud Transport Policy 6(4):642–650. https://doi.org/10.1016/j.cstp.2018.08.003
Nishiuchi H, Kobayashi Y, Todoroki T, Kawasaki T (2018) Impact analysis of reductions in tram services in rural areas in Japan using smart card data. Public Transport 10(2):291–309. https://doi.org/10.1007/s12469-018-0185-3
Nuworsoo C, Golub A, Deakin E (2009) Analyzing equity impacts of transit fare changes: case study of Alameda-Contra Costa Transit California. Eval Program Plan 32(4):360–368. https://doi.org/10.1016/j.evalprogplan.2009.06.009
Page E (1981) Factors that influence choice among transit payment methods: a study of pass use in Sacramento. Transp Res Rec 799:20–26
Paulley N, Balcombe R, Mackett R, Titheridge H, Preston J, Wardman M, White P (2006) The demand for public transport: The effects of fares, quality of service, income and car ownership. Transp Policy 13(4):295–306. https://doi.org/10.1016/j.tranpol.2005.12.004
Policy Research Institute for Land, Infrastructure, Transport and Tourism (2021) Report of Service Improvement in Regional Public Transport. https://www.mlit.go.jp/pri/houkoku/gaiyou/pdf/kkk165.pdf. Accessed 7 Aug 2023 (in Japanese)
Shin EJ (2020) Commuter benefits programs: Impacts on mode choice, VMT, and spillover effects. Transp Policy 94:11–22. https://doi.org/10.1016/j.tranpol.2020.05.001
Shin EJ (2021) Exploring the causal impact of transit fare exemptions on older adults’ travel behavior: Evidence from the Seoul metropolitan area. Transp Res Part A 149:319–338. https://doi.org/10.1016/j.tra.2021.05.007
Simic V, Gokasar I, Deveci M, Karakurt A (2022) An integrated CRITIC and MABAC based type-2 neutrosophic model for public transportation pricing system selection. Socio-Econ Plan Sci 80:101157. https://doi.org/10.1016/j.seps.2021.101157
Srivatsa Srinivas S (2023) To increase or to decrease the price? Managing public transport queues during COVID-19 in the presence of strategic commuters. Public Transport 15:275–285. https://doi.org/10.1007/s12469-022-00314-3
Thogersen J (2009) Promoting public transport as a subscription service: effects of a free month travel card. Transp Policy 16(6):335–343. https://doi.org/10.1016/j.tranpol.2009.10.008
Vickrey WS (1955) A proposal for revising New York’s subway fare structure. J Oper Res Soc Am 3(1):38–68. https://doi.org/10.1287/opre.3.1.38
Voß S, Mejia G, Voß A (2020) Mystery shopping in public transport: the case of bus station design. In: HCI International 2020 - Late breaking papers: User experience design and case studies. Lecture notes in computer science, vol 12423, pp 527–542https://doi.org/10.1007/978-3-030-60114-0_36
Wiener Linien (2022) www.wienerlinien.at, Accessed 1 Nov 2022