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Investigating Spatial Interdependence in E-Bike Choice Using Spatially Autoregressive Model
12 references·0 citing·43 second hop
Investigating Spatial Interdependence in E-Bike Choice Using Spatially Autoregressive Model (2017)Investigating Spatial Interdependence in …Electric Bicycle Use and Mode Choice in the Netherlands (2015)Electric Bicycle Use and Mode…Effects of e-bikes on bicycle use and mode share (2015)Effects of e-bikes on bicycle…Dynamics of electric bike ownership and use in Kunming, China (2015)Dynamics of electric bike own…Experiences of electric bicycle users in the Sacramento, California area (2014)Experiences of electric bicyc…Built Environment and Household Electric Bike Ownership (2013)Built Environment and Househo…Physical environments influencing bicyclists’ perception of comfort on separated and on-street bicycle facilities (2012)Physical environments influen…Electric Bikes and Transportation Policy (2012)Electric Bikes and Transporta…Cycling Trends and Fate in the Face of Bus Rapid Transit (2010)Cycling Trends and Fate in th…Network Effects in Public Transit Use: Evidence from a Spatially Autoregressive Mode Choice Model for New York (2008)Network Effects in Public Tra…Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology (2008)Bayesian Disease Mapping: Hie…Use characteristics and mode choice behavior of electric bike users in China (2007)Use characteristics and mode …Statistical and Econometric Methods for Transportation Data Analysis (2004)Statistical and Econometric M…Diffusion of Innovations (1963)Infrastructure, programs, and policies to increase bicycling: An international review (2009)Electric Bikes in North America (2014)To what extent do e-bikes substitute travel by other modes? Evidence from the Netherlands (2017)Diffusion of Innovations 1 (2019)The rise of the e-bike: Towards an extension of the practice of cycling? (2021)Discrete Choice Methods with Simulation (2001)Discrete Choice Methods with Simulation (2003)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 E-Bike Potential: Estimating regional e-bike impacts on greenhouse gas emissions (2020)The impact of e-cycling on travel behaviour: A scoping review (2020)Promoting transportation cycling for women: The role of bicycle infrastructure (2007)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Roadmap to a Single European Transport Area: Towards a competitive and resource efficient transport system (2014)Cycling in the Era of COVID-19: Lessons Learnt and Best Practice Policy Recommendations for a More Bike-Centric Future (2021)Real-Time Human Perceptions: Toward a Bicycle Level of Service (1997)Route Preferences among Adults in the near Market for Bicycling: Findings of the Cycling in Cities Study (2010)Non-motorised Level of Service: Addressing Challenges in Pedestrian and Bicycle Level of Service (2013)Synopsis of bicycle demand in the City of Toronto: Investigating the effects of perception, consciousness and comfortability on the purpose of biking and bike ownership (2014)Identifying the determinants and understanding their effect on the perception of safety, security, and comfort by pedestrians and cyclists: A systematic review (2022)Conditional logit analysis of qualitative choice behavior (1972)Spatial Econometrics: Methods and Models (1988)A Discrete-Choice Approach to Modeling Social Influence on Individual Decision Making (2008)Correcting for endogeneity in behavioral choice models with social influence variables (2011)Incorporating social interaction into hybrid choice models (2014)China statistical yearbook (1988)Travel demand and the 3Ds: Density, diversity, and design (1997)Travel and the Built Environment (2010)Bicycle mode share in China: a city-level analysis of long term trends (2016)E-bikes in rural areas: current and potential users in the Netherlands (2022)Exploring built environment factors on e-bike travel behavior in urban China: A case study of Jinan (2022)The Mixed Logit model: The state of practice (2003)Applied choice analysis a primer (2005)Modal shift implications of e-bike use in the Netherlands: Moving towards sustainability? (2019)Electric bicycle mode substitution for driving, public transit, conventional cycling, and walking (2020)Demand, Services and Social Aspects of Mitigation (2023)Spatial and spatio-temporal models with R-INLA (2013)Spatial autoregressive models for statistical inference from ecological data (2017)Contextual Factors Associated With County-Level Suicide Rates in the United States, 1999 to 2016 (2019)Analysis of the factors that influence the relationship between business air travel and videoconferencing (2009)Memory properties and fractional integration in transportation time-series (2009)Temporal patterns of driving fatigue and driving performance among male taxi drivers in Hong Kong: A driving simulator approach (2019)
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References

  • 2008Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology436 cited
  • 2007Use characteristics and mode choice behavior of electric bike users in China318 cited
  • 2004Statistical and Econometric Methods for Transportation Data Analysis286 cited
  • 2015Effects of e-bikes on bicycle use and mode share245 cited
  • 2014Experiences of electric bicycle users in the Sacramento, California area233 cited
  • 2012Electric Bikes and Transportation Policy171 cited
  • 2015Dynamics of electric bike ownership and use in Kunming, China167 cited
  • 2012Physical environments influencing bicyclists’ perception of comfort on separated and on-street bicycle facilities151 cited
  • 2008Network Effects in Public Transit Use: Evidence from a Spatially Autoregressive Mode Choice Model for New York108 cited
  • 2013Built Environment and Household Electric Bike Ownership46 cited
  • 2015Electric Bicycle Use and Mode Choice in the Netherlands45 cited
  • 2010Cycling Trends and Fate in the Face of Bus Rapid Transit20 cited

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