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Ready for Mobility as a Service? Insights from stakeholders and end-users
14 references·4 citing·40 second hop
Ready for Mobility as a Service? Insights from stakeholders and end-users (2018)Ready for Mobility as a Service? Insights…Towards an Understanding of the Travel Behavior Impact of Autonomous Vehicles (2017)Towards an Understanding of t…The potential for e-biking among the younger population: A study of Dutch students (2017)The potential for e-biking am…Motives, perceptions and experiences of electric bicycle owners and implications for health, wellbeing and mobility (2016)Motives, perceptions and expe…Millennials and car ownership: Less money, fewer cars (2016)Millennials and car ownership…Developing the ‘Service’ in Mobility as a Service: Experiences from a Field Trial of an Innovative Travel Brokerage (2016)Developing the ‘Service’ in M…Using Clustering as a Tool: Mixed Methods in Qualitative Data Analysis (2015)Using Clustering as a Tool: M…Factors affecting electric vehicle sharing program participants’ attitudes about car ownership and program participation (2015)Factors affecting electric ve…Experiences of electric bicycle users in the Sacramento, California area (2014)Experiences of electric bicyc…A survey of public opinion about connected vehicles in the U.S., the U.K., and Australia (2014)A survey of public opinion ab…A Survey of Public Opinion about Autonomous and Self-Driving Vehicles in the U.S., the U.K., and Australia (2014)A Survey of Public Opinion ab…Millennials and Mobility: Understanding the Millennial Mindset and New Opportunities for Transit Providers (2013)Millennials and Mobility: Und…Hybrid Choice Model to Investigate Effects of Teenagers' Attitudes toward Walking and Cycling on Mode Choice Behavior (2013)Hybrid Choice Model to Invest…Strategic management a stakeholder approach (2010)Strategic management a stakeh…Distinguishing the Trees from the Forest: Applying Cluster Analysis to Thematic Qualitative Data (2003)Distinguishing the Trees from…The Ws of MaaS: Understanding mobility as a service fromaliterature review (2020)The Ws of MaaS: Understanding…Mobility as a service and sustainable travel behaviour: A thematic analysis study (2020)Mobility as a service and sus…Barriers and risks of Mobility-as-a-Service (MaaS) adoption in cities: A systematic review of the literature (2020)Barriers and risks of Mobilit…Prototype business models for Mobility-as-a-Service (2019)Prototype business models for…Use characteristics and mode choice behavior of electric bike users in China (2007)E-bikes and urban transportation: emerging issues and unresolved questions (2011)Walking and Cycling in the United States, 2001–2009: Evidence From the National Household Travel Surveys (2011)The impact of e-cycling on travel behaviour: A scoping review (2020)Qualitative research practice: a guide for social science students and researchers (2003)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)E-bikes in the Mainstream: Reviewing a Decade of Research (2015)To what extent do e-bikes substitute travel by other modes? Evidence from the Netherlands (2017)The role of micro-mobility in shaping sustainable cities: A systematic literature review (2021)NATIONAL TRANSPORTATION STATISTICS (2000)Telecommunications and Travel: The Case for Complementarity (2002)Are Millennials Really the “Go-Nowhere” Generation? (2015)Mobility as a Service: Development scenarios and implications for public transport (2018)Consumers’ value co-creation in sharing economy: The role of social support, consumers’ ethical perceptions and relationship quality (2019)Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression (2019)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)User Acceptance of Information Technology: Toward A Unified View1 (2003)Do transportation network companies decrease or increase congestion? (2019)Acceptance of autonomous delivery vehicles for last-mile delivery in Germany – Extending UTAUT2 with risk perceptions (2020)Shared autonomous vehicle services: A comprehensive review (2020)A Critical Review of New Mobility Services for Urban Transport (2016)Mobility as a Service: A Critical Review of Definitions, Assessments of Schemes, and Key Challenges (2017)A topological approach to Mobility as a Service: A proposed tool for understanding requirements and effects, and for aiding the integration of societal goals (2018)Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era (2020)Smart Urban Mobility Innovations: A Comprehensive Review and Evaluation (2020)Research Methods for Business Students (2003)Using thematic analysis in psychology (2006)Diffusion of Innovations 1 (2019)Quality attributes of public transport that attract car users: A research review (2012)Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda (2021)BBC — British Broadcasting Corporation (2006)Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies (2016)What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems (2017)Assessing public opinions of and interest in new vehicle technologies: An Austin perspective (2016)Autonomous vehicles: challenges, opportunities, and future implications for transportation policies (2016)The roles of initial trust and perceived risk in public’s acceptance of automated vehicles (2018)A Natural-Resource-Based View of the Firm (1995)The Stakeholder Theory of the Corporation: Concepts, Evidence, and Implications (1995)Toward a Theory of Stakeholder Identification and Salience: Defining the Principle of Who and What Really Counts (1997)
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References

  • 2010Strategic management a stakeholder approach24,023 cited
  • 2014A Survey of Public Opinion about Autonomous and Self-Driving Vehicles in the U.S., the U.K., and Australia400 cited
  • 2014A survey of public opinion about connected vehicles in the U.S., the U.K., and Australia398 cited
  • 2016Motives, perceptions and experiences of electric bicycle owners and implications for health, wellbeing and mobility286 cited
  • 2014Experiences of electric bicycle users in the Sacramento, California area257 cited
  • 2016Millennials and car ownership: Less money, fewer cars253 cited
  • 2017Towards an Understanding of the Travel Behavior Impact of Autonomous Vehicles216 cited
  • 2016Developing the ‘Service’ in Mobility as a Service: Experiences from a Field Trial of an Innovative Travel Brokerage213 cited
  • 2003Distinguishing the Trees from the Forest: Applying Cluster Analysis to Thematic Qualitative Data176 cited
  • 2015Factors affecting electric vehicle sharing program participants’ attitudes about car ownership and program participation158 cited
  • 2013Hybrid Choice Model to Investigate Effects of Teenagers' Attitudes toward Walking and Cycling on Mode Choice Behavior119 cited
  • 2017The potential for e-biking among the younger population: A study of Dutch students51 cited
  • 2015Using Clustering as a Tool: Mixed Methods in Qualitative Data Analysis45 cited

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2013
Millennials and Mobility: Understanding the Millennial Mindset and New Opportunities for Transit Providers
29 cited

Cited by

  • 2020Barriers and risks of Mobility-as-a-Service (MaaS) adoption in cities: A systematic review of the literature305 cited
  • 2020Mobility as a service and sustainable travel behaviour: A thematic analysis study228 cited
  • 2020The Ws of MaaS: Understanding mobility as a service fromaliterature review217 cited
  • 2019Prototype business models for Mobility-as-a-Service208 cited