Explaining shared micromobility usage, competition and mode choice by modelling empirical data from Zurich, Switzerland

[1]  Piet Rietveld,et al.  The accessibility of railway stations: the role of the bicycle in The Netherlands , 2000 .

[2]  Kay W. Axhausen,et al.  Modelling shared e-scooters: A spatial regression approach , 2020 .

[3]  Simon Washington,et al.  Bike share's impact on car use: evidence from the United States, Great Britain, and Australia , 2014 .

[4]  Karel Martens,et al.  Promoting Bike-and-Ride: The Dutch Experience , 2007 .

[5]  Joan L. Walker,et al.  Identification of parameters in normal error component logit-mixture (NECLM) models , 2007 .

[6]  R. Noland,et al.  Spatial associations of dockless shared e-scooter usage , 2020, Transportation Research Part D: Transport and Environment.

[7]  Yuchuan Du,et al.  A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system , 2019, Transportation Research Part C: Emerging Technologies.

[8]  Megan S. Ryerson,et al.  Factors influencing the choice of shared bicycles and shared electric bikes in Beijing , 2016 .

[9]  D. McFadden.  Quantitative Methods for Analysing Travel Behaviour of Individuals , 2021 .

[10]  Sergio Guidon,et al.  Expanding a(n) (electric) bicycle-sharing system to a new city: Prediction of demand with spatial regression and random forests , 2020 .

[11]  K. Axhausen,et al.  Electric Bicycle-Sharing: A New Competitor in the Urban Transportation Market? An Empirical Analysis of Transaction Data , 2018, Transportation Research Record: Journal of the Transportation Research Board.

[12]  G. Baiocchi,et al.  Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-share in Washington, D.C. , 2020 .

[13]  Miriam Ricci,et al.  Bike sharing: A review of evidence on impacts and processes of implementation and operation , 2015 .

[14]  Chinh Q. Ho,et al.  Mobility as a service and private car use: Evidence from the Sydney MaaS trial , 2020, Transportation Research Part A: Policy and Practice.

[15]  Ahmed M El-Geneidy,et al.  Better Understanding of Factors Influencing Likelihood of Using Shared Bicycle Systems and Frequency of Use , 2012 .

[16]  Xiaohu Zhang,et al.  Understanding the usage of dockless bike sharing in Singapore , 2018 .

[17]  Karel Martens,et al.  The bicycle as a feedering mode: experiences from three European countries , 2004 .

[18]  Licia Capra,et al.  Measuring the impact of opening the London shared bicycle scheme to casual users , 2012 .

[19]  Felix Becker,et al.  mixl: An open-source R package for estimating complex choice models on large datasets , 2021, Journal of Choice Modelling.

[20]  Susan Shaheen,et al.  Micromobility evolution and expansion: Understanding how docked and dockless bikesharing models complement and compete – A case study of San Francisco , 2020, Journal of Transport Geography.

[21]  Hua Zhang,et al.  HANGZHOU PUBLIC BICYCLE: UNDERSTANDING EARLY ADOPTION AND BEHAVIORAL RESPONSE TO BIKESHARING IN HANGZHOU, CHINA , 2011 .

[22]  Simon Washington,et al.  Bike Share: A Synthesis of the Literature , 2013 .

[23]  J. Jiao,et al.  Dockless E-scooter usage patterns and urban built Environments: A comparison study of Austin, TX, and Minneapolis, MN , 2020 .

[24]  E. Murphy,et al.  The Role of Bicycle-sharing in the City: Analysis of the Irish Experience , 2015 .

[25]  Robert B. Noland,et al.  Trip patterns and revenue of shared e-scooters in Louisville, Kentucky , 2019, Transport Findings.

[26]  Paolo Santi,et al.  Understanding spatio-temporal heterogeneity of bike-sharing and scooter-sharing mobility , 2020, Comput. Environ. Urban Syst..

[27]  Kay W. Axhausen,et al.  Expanding a(n) (electric) bicycle-sharing system to a new city: Prediction of demand with spatial regression and random forests , 2020, Journal of Transport Geography.

[28]  Wei Tu,et al.  Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system , 2019, Comput. Environ. Urban Syst..

[29]  Jennifer Dill,et al.  Electric Bikes in North America , 2014 .

[30]  Robert B. Noland,et al.  Bikeshare Trip Generation in New York City , 2016 .

[31]  Stacey Guzman,et al.  China's Hangzhou Public Bicycle , 2011 .

[32]  Stephen Graham Ritchie,et al.  TRANSPORTATION RESEARCH. PART C, EMERGING TECHNOLOGIES , 1993 .

[33]  N. Sze,et al.  Factors Influencing Electric Bike Share Ridership: Analysis of Park City, Utah , 2019, Transportation Research Record: Journal of the Transportation Research Board.

[34]  W. Deng,et al.  Exploring bikesharing travel time and trip chain by gender and day of the week , 2015 .

[35]  John M. Rose,et al.  Applied Choice Analysis , 2015 .

[36]  Dockless Electric Scooters and Transit Use in an Urban/University Environment , 2020 .

[37]  Alexis J. Comber,et al.  A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile , 2019, Comput. Environ. Urban Syst..

[38]  Chung-Cheng Lu,et al.  Adoption intentions for micro-mobility – Insights from electric scooter sharing in Taiwan , 2020 .

[39]  S. Shaheen,et al.  Bikesharing in Europe, the Americas, and Asia: Past, Present, and Future , 2010 .

[40]  Grant McKenzie.  Spatiotemporal comparative analysis of scooter-share and bike-share usage patterns in Washington, D.C. , 2019, Journal of Transport Geography.

[41]  Candace Brakewood,et al.  Sharing riders: How bikesharing impacts bus ridership in New York City , 2017 .

[42]  D. McFadden.  Conditional logit analysis of qualitative choice behavior , 1972 .

[43]  Maria Bordagaray,et al.  Capturing the conditions that introduce systematic variation in bike-sharing travel behavior using data mining techniques , 2016 .

[44]  William H. K. Lam,et al.  Transportation Research, Part A: Policy and Practice , 1997 .

[45]  P. DeMaio.  Bike-sharing: History, Impacts, Models of Provision, and Future , 2009 .

[46]  Piet Rietveld,et al.  Non-motorised modes in transport systems: a multimodal chain perspective for The Netherlands , 2000 .

[47]  P Reitveld.  NON-MOTORISED MODES IN TRANSPORT SYSTEMS: A MULTIMODAL CHAIN PERSPECTIVE FOR THE NETHERLANDS , 2000 .