SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Estimating Passenger Miles, Origin–Destination Patterns, and Loads with Location-Stamped Farebox Data
1 references·11 citing·39 second hop
Estimating Passenger Miles, Origin–Destination Patterns, and Loads with Location-Stamped Farebox Data (2002)Estimating Passenger Miles, Origin–Destin…Simulation: A Problem Solving Approach (1989)Simulation: A Problem Solving…Assessing the CO 2 emission reduction potential of metro-bus combined travel through interpretable machine learning (2025)Assessing the CO 2 emission r…Passenger origin–destination estimation in public transit using boarding count data (2024)Passenger origin–destination …Intrapersonal variability in public transport path choice due to changes in service reliability (2021)Intrapersonal variability in …Bus OD matrix reconstruction based on clustering Wi-Fi probe data (2021)Bus OD matrix reconstruction …Are Transit Trips Symmetrical in Time and Space? (2013)Are Transit Trips Symmetrical…Data-Driven Support Tools for Transit Data Analysis, Scheduling and Planning (2011)Data-Driven Support Tools for…Algorithm to Measure Daily Bus Passenger Miles Using Electronic Farebox Data for National Transit Database Section 15 Reporting (2011)Algorithm to Measure Daily Bu…Leveraging data from a smart card automatic fare collection system for public transit planning (2010)Leveraging data from a smart …Development of Data-Processing Framework for Transit Performance Analysis (2010)Development of Data-Processin…Wykorzystanie metod statystycznych w badaniu popytu na usługi transportu miejskiego (2009)Wykorzystanie metod statystyc…Designing Automated Vehicle Location Systems for Archived Data Analysis (2004)Designing Automated Vehicle L…Observing the rhythms of daily life: A six-week travel diary (2002)Urban Transit : Operations, Planning and Economics (2005)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Smart Card Validation Data as a Multi-Day Transit Panel Survey to Investigate Individual and Aggregate Variation in Travel Behaviour (2013)Examining regional mobility patterns of public transit and automobile users based on the smart card and mobile Internet data: a case study of Chengdu, China (2019)Origin and Destination Estimation in New York City with Automated Fare System Data (2002)Determinants of Bus Dwell Time (2004)Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems (2007)Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Journal of Transport and Land Use (2010)The construction of purpose-specific OD matrices using public transport smart card data (2015)Constructing an Automated Bus Origin–Destination Matrix Using Farecard and Global Positioning System Data in São Paulo, Brazil (2008)Strategic Look at Friday Exceptions in Weekday Schedules for Urban Transit (2012)Development of Application for Estimating Daily Boarding and Alighting Counts on New York City Buses (2015)GTFS-Ride: Unifying Standard for Fixed-Route Ridership Data (2019)Trip Time Analyzers: Key to Transit Service Quality (2001)Evaluation of transit operations: data applications of Tri-Met's automated Bus Dispatching System (2002)Automated Quality Assurance Methodology for Archived Transit Data from Automatic Vehicle Location and Passenger Counting Systems (2011)Identifying the Bias: Evaluating Effectiveness of Automatic Data Collection Methods in Estimating Details of Bus Dwell Time (2017)Validation of automatic passenger counting: introducing the t-test-induced equivalence test (2019)Transit capacity and quality of service manual (2003)Modeling the Factors Affecting Bus Stop Dwell Time (2008)Use of Entry-Only Automatic Fare Collection Data to Estimate Linked Transit Trips in New York City (2009)A Big Data Mashing Tool for Measuring Transit System Performance (2016)Using Fisher information to assess stability in the performance of public transportation systems (2017)Demand estimation of bus as a public transport based on gravity model (2018)Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems (2011)A two-phase optimization model for the demand-responsive customized bus network design (2019)A Machine Learning Approach to Estimate Public Transport Ridership Using Wi-Fi Data (2024)An empirical study on the stochastic long-term travel demands of a large-scale metro network (2024)Estimating Bus Passenger Origin-Destination Flow via Passenger Reidentification Using Video Images (2025)Prospect Theory: An Analysis of Decision under Risk (1979)The Framing of Decisions and the Psychology of Choice (1981)Prospect theory: An analysis of decision under risk (1988)Investigating carbon footprint reduction potential of public transportation in United States: A system dynamics approach (2016)Environmental benefits of bike sharing: A big data-based analysis (2018)Provider and customer expectations of successful simulation projects (1998)Production planning using a hybrid simulation – analytical approach (1999)PartiSim: A multi-methodology framework to support facilitated simulation modelling in healthcare (2015)
this work references cited by second hop

References

  • 1989Simulation: A Problem Solving Approach219 cited

Cited by

  • 2021Bus OD matrix reconstruction based on clustering Wi-Fi probe data15 cited
  • 2013Are Transit Trips Symmetrical in Time and Space?15 cited
  • 2010Development of Data-Processing Framework for Transit Performance Analysis15 cited
  • 2011Algorithm to Measure Daily Bus Passenger Miles Using Electronic Farebox Data for National Transit Database Section 15 Reporting14 cited
  • 2004Designing Automated Vehicle Location Systems for Archived Data Analysis12 cited
  • 2010Leveraging data from a smart card automatic fare collection system for public transit planning9 cited
  • 2025Assessing the CO 2 emission reduction potential of metro-bus combined travel through interpretable machine learning8 cited
  • 2011Data-Driven Support Tools for Transit Data Analysis, Scheduling and Planning6 cited
  • 2021Intrapersonal variability in public transport path choice due to changes in service reliability5 cited
  • 2024Passenger origin–destination estimation in public transit using boarding count data4 cited
  • 2009Wykorzystanie metod statystycznych w badaniu popytu na usługi transportu miejskiego4 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work