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The usage of location based big data and trip planning services for the estimation of a long-distance travel demand model. Predicting the impacts of a new high speed rail corridor
7 references·7 citing·48 second hop
The usage of location based big data and trip planning services for the estimation of a long-distance travel demand model. Predicting the impacts of a new high speed rail corridor (2018)The usage of location based big data and …Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities (2017)Hedonic value of high-speed r…Mode choice modeling for long-distance travel (2014)Mode choice modeling for long…A Long-Distance Travel Demand Model for Europe (2012)A Long-Distance Travel Demand…The influence of socioeconomic characteristics, land use and travel time considerations on mode choice for medium- and longer-distance trips (2005)The influence of socioeconomi…The Trouble with Intercity Travel Demand Models (2004)The Trouble with Intercity Tr…Location, economic potential and daily accessibility: an analysis of the accessibility impact of the high-speed line Madrid–Barcelona–French border (2001)Location, economic potential …STRUCTURE OF PASSENGER TRAVEL DEMAND MODELS (1974)STRUCTURE OF PASSENGER TRAVEL…Applied Techniques for Twitter Data Retrieval in an Urban Area: Insight for Trip Production Modeling (2023)Applied Techniques for Twitte…Exploring Travel Mode Preference of External Trips for Smart City Transportation Planning: Sejong, Korea (2022)Exploring Travel Mode Prefere…Literature Review of Socioeconomic and Environmental Impacts of High-Speed Rail in the World (2021)Literature Review of Socioeco…Agent-Based Simulation of Long-Distance Travel: Strategies to Reduce CO2 Emissions from Passenger Aviation (2021)Agent-Based Simulation of Lon…Predicting Venue Popularity Using Crowd-Sourced and Passive Sensor Data (2020)Predicting Venue Popularity U…Do high speed rail configurations matter to tourist arrivals? Empirical evidence from China's prefecture-level cities (2020)Do high speed rail configurat…A Data-Driven Approach to Trip Generation Modeling for Urban Residents and Non-local Travelers (2020)A Data-Driven Approach to Tri…Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)An Endogenous Segmentation Mode Choice Model with an Application to Intercity Travel (1997)Extended discrete choice models : integrated framework, flexible error structures, and latent variables (2001)Methodological Options and Data Sources for the Development of Long-Distance Passenger Travel Demand Models: A Comprehensive Review (2012)Long-Distance Work and Leisure Travel Frequencies (2014)Supply-and-demand models for exploring relationships between smaller airports and neighboring hub airports in the U.S. (2016)Discrete choice analysis: Theory and application to travel demand (1988)Travel demand and the 3Ds: Density, diversity, and design (1997)The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei (2008)A comparative study of machine learning classifiers for modeling travel mode choice (2017)Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance (2017)The Market as a Factor in the Localization of Industry in the United States (1954)Accessibility, Attraction, and Potential: A Review of Some Concepts and Their Use in Determining Mobility (1974)Accessibility indicators for transport planning (1979)Measuring Regional Cohesion Effects of Large-scale Transport Infrastructure Investments: An Accessibility Approach (2008)Efficiency and spatial equity impacts of high-speed rail extensions in urban areas (2011)Impact of high-speed rail on regional economic disparity in China (2017)Roadmap to a Single European Transport Area: Towards a competitive and resource efficient transport system (2014)The implications of high-speed rail for Chinese cities: Connectivity and accessibility (2018)The effects of high-speed rail development on regional equity in China (2020)Socioeconomic impact assessments of high-Speed rail: A meta-Analysis (2021)The Estimation of Choice Probabilities from Choice Based Samples (1977)Discrete Choice Analysis (1985)‘Informal Travel’: A New Conceptualization of Travel Patterns? 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(2022)The persevering commuter – Duration of long-distance commuting (2010)The Multi-Agent Transport Simulation MATSim (2016)The Multi-Agent Transport Simulation MATSim (2016)Globalisation as Reterritorialisation: The Re-scaling of Urban Governance in the European Union (1999)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Mapping the backbone of science (2005)Analytical assessment of implementation aspect of regional rapid transit system (2022)Increasing Returns and Economic Geography (1990)The generalized nested logit model (2001)Transport investment and the promotion of economic growth (2001)Why do they live so far from work? Determinants of long-distance commuting in California (2019)Trend towards virtual and hybrid conferences may be an effective climate change mitigation strategy (2021)Analysis of mode choice affects from the introduction of Doha Metro using machine learning and statistical analysis (2023)Quantal Choice Analaysis: A Survey (1976)Chapter 24 Econometric analysis of qualitative response models (1984)ECONOMETRIC ANALYSIS OF QUALITATIVE RESPONSE MODELS (1984)
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References

  • 2001Location, economic potential and daily accessibility: an analysis of the accessibility impact of the high-speed line Madrid–Barcelona–French border472 cited
  • 2005The influence of socioeconomic characteristics, land use and travel time considerations on mode choice for medium- and longer-distance trips422 cited
  • 1974STRUCTURE OF PASSENGER TRAVEL DEMAND MODELS389 cited
  • 2017Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities75 cited
  • 2014Mode choice modeling for long-distance travel65 cited
  • 2004The Trouble with Intercity Travel Demand Models44 cited
  • 2012A Long-Distance Travel Demand Model for Europe35 cited

Cited by

  • 2020Do high speed rail configurations matter to tourist arrivals? Empirical evidence from China's prefecture-level cities28 cited
  • 2021Literature Review of Socioeconomic and Environmental Impacts of High-Speed Rail in the World21 cited
  • 2021Agent-Based Simulation of Long-Distance Travel: Strategies to Reduce CO2 Emissions from Passenger Aviation16 cited
  • 2020Predicting Venue Popularity Using Crowd-Sourced and Passive Sensor Data15 cited
  • 2020A Data-Driven Approach to Trip Generation Modeling for Urban Residents and Non-local Travelers12 cited
  • 2022Exploring Travel Mode Preference of External Trips for Smart City Transportation Planning: Sejong, Korea

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9 cited
  • 2023Applied Techniques for Twitter Data Retrieval in an Urban Area: Insight for Trip Production Modeling4 cited