Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 51 checked references that resolve
resolves10.1177/0361198118790842The Potential of Demand-Responsive Transport as a Complement to Public Transport: An Assessment Framework and an Empirical Evaluation
resolves10.1016/j.tra.2013.10.005Travelers’ preferences in multimodal networks: Design and results of a comprehensive series of choice experiments
resolves10.1016/j.tra.2012.10.003Applying valence framing to enhance the effect of information on transport-related carbon dioxide emissions
resolves10.3141/2650-16Development of a Mode Choice Model for General Purpose Flexible-Route Transit Systems
resolves10.1016/j.trc.2016.12.018Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach
resolves10.1007/s11116-018-9916-1Exploring impacts of on-demand ridesplitting on mobility via real-world ridesourcing data and questionnaires
resolves10.1007/s11116-008-9168-6Effect of attitudes, habit and affective appraisal on mode choice: an application to university workers
resolves10.1007/s11116-016-9729-zDynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas
resolves10.1016/j.trc.2016.12.017Flexing service schedules: Assessing the potential for demand-adaptive hybrid transit via a stated preference approach
resolves10.1016/j.trpro.2015.12.027The Netherlands Mobility Panel: An Innovative Design Approach for Web-based Longitudinal Travel Data Collection
resolves10.1016/j.tra.2016.11.005Satisfaction and uncertainty in car-sharing decisions: An integration of hybrid choice and random regret-based models
resolves10.1007/s11116-015-9606-1Do sharing people behave differently? An empirical evaluation of the distinctive mobility patterns of free-floating car-sharing members
resolves10.1016/j.tra.2019.03.009Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future
resolves10.1080/10548408.2018.1507866Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model
resolves10.3141/2542-15Dynamic Ridesharing: Exploration of Potential for Reduction in Vehicle Miles Traveled
resolves10.1177/0361198119839344Uber Economics: Evaluating the Monetary and Travel Time Trade-Offs of Transportation Network Companies and Transit Service in Chicago, Illinois
resolves10.1016/j.tra.2013.10.011Illuminating the unseen in transit use: A framework for examining the effect of attitudes and perceptions on travel behavior
resolves10.1016/j.trd.2018.12.019Will consumers prefer shared and pooled-use autonomous vehicles? A stated choice experiment with Swiss households
resolves10.1007/s11116-019-09973-xModeling the choice to switch from traditional modes to ridesourcing services for social/recreational trips in Lebanon
resolves10.1080/15568318.2018.1539146Does ride-hailing increase or decrease vehicle kilometers traveled (VKT)? A simulation approach for Santiago de Chile
The 25 references without a DOI — listed, not checked
no DOI — not checkedAtasoy, B., Glerum, A., Hurtubia, R., Bierlaire, M.: Demand for public transport services: integrating qualitative and quantitative methods. In: Proceedings of the 10th Swiss Transport Research Conference (2010)
no DOI — not checkedM Ben-Akiva SR Lerman 1985 Discrete Choice Analysis: Theory and Application to Travel Demand. Vol. 9. MIT press
no DOI — not checkedBierlaire, M.: PythonBiogeme: a short introduction. Report TRANSP-OR 160706, Series on Biogeme. Transport and Mobility Laboratory, School of Architecture, Civil and Environmental Engineering, Ecole Polytechnique Fédérale de Lausanne, Switzerland (2016)
no DOI — not checkedBurkardt, J.: The truncated normal distribution. https://people.sc.fsu.edu/∼jburkardt/presentations/truncated (2014)
no DOI — not checkedCentraal Bureau voor de Statistiek (CBS): Sociale kerncijfers - Nieuwe maatstaf van stedelijkheid. Mens en Maatsch. (in Dutch). (1992)
no DOI — not checkedCentraal Bureau voor de Statistiek (CBS): Bevolking; kerncijfers (in Dutch), https://opendata.cbs.nl/statline/#/CBS/nl/dataset/37296ned/table?ts=1541413888808
no DOI — not checkedCentraal Bureau voor de Statistiek (CBS): Bevolking; hoogstbehaald onderwijsniveau en onderwijsrichting (in Dutch), https://opendata.cbs.nl/statline/#/CBS/nl/dataset/82816NED/table?ts=1541415076597
no DOI — not checkedCentraal Bureau voor de Statistiek (CBS): Arbeidsdeelname; kerncijfers (in Dutch), https://opendata.cbs.nl/statline/#/CBS/nl/dataset/82309NED/table?ts=1541426506205
no DOI — not checkedCentraal Bureau voor de Statistiek (CBS): Regionale kerncijfers Nederland; Bevolking; Stedelijkheidsklasse (in Dutch), https://opendata.cbs.nl/statline/#/CBS/nl/dataset/70072ned/table?ts=1541423939562
no DOI — not checkedMetrics, C.: Ngene 1.1.1 User manual and reference Guide. , Sydney, Australia. (2012)
no DOI — not checkedGehrke, S.R., Felix, A., Reardon, T.: Fare choices. A survey of ride-hailing passengers in metro Boston. (2018)
no DOI — not checkedHawkins, A.J.: Uber and Lyft finally admit they’re making traffic congestion worse in cities, https://www.theverge.com/2019/8/6/20756945/uber-lyft-tnc-vmt-traffic-congestion-study-fehr-peers
no DOI — not checkedHu, W.: When Calling an Uber Can Pay Off for Cities and States, https://www.nytimes.com/2018/02/18/nyregion/uber-lyft-public-transit-congestion-tax.html
no DOI — not checkedITF: Shared Mobility: Innovation for Liveable Cities. OECD Publishing, Paris (2016)
no DOI — not checkedITF: Shared Mobility: Simulations for Helsinki. OECD Publishing, Paris (2017)
no DOI — not checkedJohnson, N.L., Kotz, S., Balakrishnan, N.: Continuous Univariate Distributions. Wiley (1994)
no DOI — not checkedNunnally, J.C., Bernstein, I.H.: Psychometric Theory New York: McGraw-Hill, 1994. McGraw-Hill, New York (1994)
no DOI — not checkedRubin, J.: Choosing Transit: The Influence of Past Travel Behavior, Attitudes and Habits on Present Choices. University of California, Berkeley (2011)
no DOI — not checkedSeltman, H.: Approximations for Mean and Variance of a Ratio. Unpublished note (2012)
no DOI — not checkedTaber, K.S.: The use of cronbach’s alpha when developing and reporting research instruments in science education, https://link.springer.com/content/pdf/10.1007%2Fs11165-016-9602-2.pdf, (2017)
no DOI — not checkedTirachini, A.: Ride-hailing, travel behaviour and sustainable mobility: an international review. Springer, US (2019)
no DOI — not checkedUber: uber–facts & figures as of December 2018, https://www.uber.com/en-GB/newsroom/company-infouberpoolau/
no DOI — not checkedUber: Introducing uberPOOL: a new way to share, https://www.uber.com/en-AU/newsroom/uberpoolau/
no DOI — not checkedVermunt, J.K., Magidson, J.: Technical Guide for Latent GOLD 5.1: Basic, Advanced, and Syntax. Statistical Innovations Inc., Belmont, MA (2016)
no DOI — not checkedYan, X., Levine, J., Zhao, X.: Integrating ridesourcing services with public transit: an evaluation of traveler responses combining revealed and stated preference data, https://linkinghub.elsevier.com/retrieve/pii/S0968090X18310398, (2018)
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