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Exploring Preferences for Transportation Modes in an Urban Air Mobility Environment: Munich Case Study
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Exploring Preferences for Transportation Modes in an Urban Air Mobility Environment: Munich Case Study (2019)Exploring Preferences for Transportation …User preferences regarding autonomous vehicles (2017)User preferences regarding au…Values of travel time in Europe: Review and meta-analysis (2016)Values of travel time in Euro…Preferences for shared autonomous vehicles (2016)Preferences for shared autono…Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas (2016)Dynamic ride-sharing and flee…Assessing public opinions of and interest in new vehicle technologies: An Austin perspective (2016)Assessing public opinions of …Autonomous Vehicle Implementation Predictions: Implications for Transport Planning (2015)Autonomous Vehicle Implementa…Applied Choice Analysis (2015)Applied Choice AnalysisPublic Perceptions of Self-Driving Cars: The Case of Berkeley, California (2014)Public Perceptions of Self-Dr…Public Opinion on Automated Driving: Results of an International Questionnaire Among 5,000 Respondents (2014)Public Opinion on Automated D…Internet, Phone, Mail, and Mixed‐Mode Surveys (2014)Internet, Phone, Mail, and Mi…Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method, 4th Edition. (2014)Internet, Phone, Mail, and Mi…Factors affecting the adoption of vehicle sharing systems by young drivers (2013)Factors affecting the adoptio…The effects of attitudes and personality traits on mode choice (2005)The effects of attitudes and …Freight mode choice and adaptive stated preferences (2002)Freight mode choice and adapt…Discrete Choice Methods with Simulation (2001)Discrete Choice Methods with …Stated Choice Methods (2000)Stated Choice MethodsTransportation technologies, sharing economy, and teleactivities: Implications for built environment and travel (2021)Transportation technologies, …The New Transportation Planning Paradigm (2013)Motorists' preferences for different levels of vehicle automation (2015)Autonomous vehicles: challenges, opportunities, and future implications for transportation policies (2016)Mobility as a Service: A Critical Review of Definitions, Assessments of Schemes, and Key Challenges (2017)Shared autonomous vehicle services: A comprehensive review (2020)Conditional logit analysis of qualitative choice behavior (1972)Specification Tests in Econometrics (1978)A latent class model for discrete choice analysis: contrasts with mixed logit (2003)The Mixed Logit model: The state of practice (2003)Conducting Discrete Choice Experiments to Inform Healthcare Decision Making (2008)Diffusion of Innovations (2009)Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies (2016)Diffusion of Innovations 1 (2019)Discrete Choice Methods with Simulation (2003)Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations (2015)What have we learned? A review of stated preference and choice studies on autonomous vehicles (2018)The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios (2014)Capturing the behavioural determinants behind the adoption of autonomous vehicles: Conceptual frameworks and measurement models to predict public transport, sharing and ownership trends of self-driving cars (2019)A theory of human motivation. (1943)The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. (1999)A THEORY OF HUMAN MOTIVATION (2017)The roles of initial trust and perceived risk in public’s acceptance of automated vehicles (2018)Luxury and sustainable development: Is there a match? (2013)Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice (2018)Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design (2018)Conjoint Analysis Applications in Health—a Checklist: A Report of the ISPOR Good Research Practices for Conjoint Analysis Task Force (2011)Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions (2015)PISA 2018 Assessment and Analytical Framework (2019)Disclosure of sensitive behaviors across self-administered survey modes: a meta-analysis (2014)A Tale of Two Sample Sources: Do Results from Online Panel Data and Conventional Data Converge? (2018)Web Versus Other Survey Modes: An Updated and Extended Meta-Analysis Comparing Response Rates (2019)
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References

  • 2001Discrete Choice Methods with Simulation7,927 cited
  • 2000Stated Choice Methods7,007 cited
  • 2014Internet, Phone, Mail, and Mixed‐Mode Surveys4,583 cited
  • 2014Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method, 4th Edition.1,838 cited
  • 2015Applied Choice Analysis1,629 cited
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  • 2016Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas664 cited
  • 2005The effects of attitudes and personality traits on mode choice596 cited
  • 2013Factors affecting the adoption of vehicle sharing systems by young drivers337 cited
  • 2014Public Perceptions of Self-Driving Cars: The Case of Berkeley, California333 cited
  • 2016Values of travel time in Europe: Review and meta-analysis

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221 cited
  • 2002Freight mode choice and adaptive stated preferences179 cited
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    • 2021Transportation technologies, sharing economy, and teleactivities: Implications for built environment and travel198 cited