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Inferring Activities and Optimal Trips: Lessons From Singapore’s National Science Experiment
7 references·4 citing·40 second hop
Inferring Activities and Optimal Trips: Lessons From Singapore’s National Science Experiment (2016)Inferring Activities and Optimal Trips: L…Future Mobility Survey (2013)Future Mobility SurveyDeriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Deriving and validating trip …Identifying trips and activities and their characteristics from GPS raw data without further information (2008)Identifying trips and activit…Deriving origin–destination data from a mobile phone network (2007)Deriving origin–destination d…Increasing the accuracy of trip rate information from passive multi-day GPS travel datasets: Automatic trip end identification issues (2006)Increasing the accuracy of tr…Processing GPS data from travel surveys (2005)Processing GPS data from trav…80 weeks of GPS-traces: Approaches to enriching the trip information (2003)80 weeks of GPS-traces: Appro…Understanding short-distance travel to school in Singapore: A data-driven approach (2023)Understanding short-distance …Routing Games in the Wild: Efficiency, Equilibration, Regret, and a Price of Anarchy Bound via Long Division (2022)Routing Games in the Wild: Ef…Short-distance commuters in the smart city (2019)Short-distance commuters in t…How bad is selfish routing in practice? (2017)How bad is selfish routing in…Can Land-use Policy Really Affect Travel Behaviour? A Study of the Link between Non-work Travel and Land-use Characteristics (1998)GPS tracking in neighborhood and health studies: A step forward for environmental exposure assessment, a step backward for causal inference? (2013)Review of GPS Travel Survey and GPS Data-Processing Methods (2014)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Can using global positioning system (GPS) improve trip reporting? (1999)Route choice modeling with network-free data (2007)An automated GPS-based prompted recall survey with learning algorithms (2009)Using Bus Probe Data for Analysis of Travel Time Variability (2009)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Mobile phone data from GSM networks for traffic parameter and urban spatial pattern assessment: a review of applications and opportunities (2011)Traffic zone division based on big data from mobile phone base stations (2015)Transport modelling in the age of big data (2017)Using GPS data loggers to replace travel diaries in the collection of travel data (2000)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Trip Rate Analysis in GPS-Enhanced Personal Travel Surveys (2003)Analysis of commute Atlanta instrumented vehicle GPS data: Destination choice behavior and activity spaces (2006)The Use of Smartphone Applications in the Collection of Travel Behaviour Data (2014)Detecting activity type from GPS traces using spatial and temporal information (2015)A class of games possessing pure-strategy Nash equilibria (1973)Urban transportation networks: Equilibrium analysis with mathematical programming methods (1986)Worst-Case Equilibria (1999)The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies (2016)When is Selfish Routing Bad? The Price of Anarchy in Light and Heavy Traffic (2020)Personalized Freight Route Recommendations With System Optimality Considerations: A Utility Learning Approach (2022)Potential Games (1996)Linking objectively measured physical activity with objectively measured urban form (2005)Playing it safe: The influence of neighbourhood safety on children's physical activity—A review (2007)Exploring the impacts of COVID-19 on travel behavior and mode preferences (2020)Impact of Underreporting on Mileage and Travel Time Estimates: Results from Global Positioning System-Enhanced Household Travel Survey (2003)Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems (2006)MULTI-STAGE APPROACH TO TRAVEL-MODE SEGMENTATION AND CLASSIFICATION OF GPS TRACES (2012)Unveiling E-Bike Potential for Commuting Trips from GPS Traces (2017)Facing the needs for clean bicycle data – a bicycle-specific approach of GPS data processing (2021)Global Positioning System as Data Collection Method for Travel Research (2000)Assessing the accuracy of the Sydney Household Travel Survey with GPS (2007)Developing advanced route choice models for heavy goods vehicles using GPS data (2015)Developing a passive GPS tracking system to study long-term travel behavior (2019)Tracking employment shocks using mobile phone data (2015)Perspectives of the use of smartphones in travel behaviour studies: Findings from a literature review and a pilot study (2018)Addressing the Linkages between Gender and Transport in Low- and Middle-Income Countries (2019)
this work references cited by second hop

References

  • 2009Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands501 cited
  • 2007Deriving origin–destination data from a mobile phone network270 cited
  • 2013Future Mobility Survey227 cited
  • 2006Increasing the accuracy of trip rate information from passive multi-day GPS travel datasets: Automatic trip end identification issues145 cited
  • 2005Processing GPS data from travel surveys92 cited
  • 200380 weeks of GPS-traces: Approaches to enriching the trip information58 cited
  • 2008Identifying trips and activities and their characteristics from GPS raw data without further information47 cited

Cited by

  • 2017How bad is selfish routing in practice?12 cited
  • 2023Understanding short-distance travel to school in Singapore: A data-driven approach8 cited
  • 2022Routing Games in the Wild: Efficiency, Equilibration, Regret, and a Price of Anarchy Bound via Long Division5 cited
  • 2019Short-distance commuters in the smart city5 cited

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