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Using Quantitative Methods in Equity and Demographic Analysis to Inform Transit Fare Restructuring Decisions
3 references·5 citing·24 second hop
Using Quantitative Methods in Equity and Demographic Analysis to Inform Transit Fare Restructuring Decisions (2010)Using Quantitative Methods in Equity and …Entry-Only Automated Fare-Collection System Data Used to Infer Ridership, Rider Destinations, Unlinked Trips, and Passenger Miles (2009)Entry-Only Automated Fare-Col…Origin and Destination Estimation in New York City with Automated Fare System Data (2002)Origin and Destination Estima…Metropolitan Transportation Authority (1998)Metropolitan Transportation A…Standards of fairness in the transportation literature (2025)Standards of fairness in the …Measuring and Controlling Subway Fare Evasion: Improving Safety and Security at New York City Transit Authority (2023)Measuring and Controlling Sub…Fare-Capping Impact Analysis Using Mobile Ticket Data (2022)Fare-Capping Impact Analysis …Assessing Equity of Regular Public Transit Fare Policy Based on Gini Coefficient (2015)Assessing Equity of Regular P…Strategic Look at Friday Exceptions in Weekday Schedules for Urban Transit (2012)Strategic Look at Friday Exce…Analyzing equity impacts of transit fare changes: Case study of Alameda–Contra Costa Transit, California (2009)Assessing social equity in distance based transit fares using a model of travel behavior (2014)Potential Uses of Transit Smart Card Registration and Transaction Data to Improve Transit Planning (2006)Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems (2007)Development of a transfer‐cost‐based logit assignment model for the Beijing rail transit network using automated fare collection data (2012)The Resilience to Emergencies and Disasters Index: Applying big data to benchmark and validate neighborhood resilience capacity (2017)Measures of Travel Reliability on an Urban Rail Transit Network (2020)Observing the rhythms of daily life: A six-week travel diary (2002)Transit Stop-Level Origin–Destination Estimation through Use of Transit Schedule and Automated Data Collection System (2011)Impact of Transit Fare Increase on Ridership and Revenue (2005)Fixed-Route Transit Ridership Forecasting and Service Planning Methods (2006)Public transit fare structure and social vulnerability in Montreal, Canada (2016)The effect of an unconventional fare decrease on the demand for bus journeys: A regression discontinuity approach (2023)BROKEN WINDOWS: THE POLICE AND NEIGHBOURHOOD SAFETY (1982)Understanding human motivation: what makes people tick? (2004)Fare Evasion in Light Rail Systems (2007)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)Updated methodological guidance for the conduct of scoping reviews (2020)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Analyzing year-to-year changes in public transport passenger behaviour using smart card data (2017)Transport modelling in the age of big data (2017)The abandoned social goals of public transit in the neoliberal city of the USA (2005)Planning and Social Media: A Case Study of Public Transit and Stigma on Twitter (2014)Infrastructure Public–Private Partnerships in the Developing World: Lessons from Recent Experience (2015)
this work references cited by second hop

References

  • 2002Origin and Destination Estimation in New York City with Automated Fare System Data274 cited
  • 1998Metropolitan Transportation Authority148 cited
  • 2009Entry-Only Automated Fare-Collection System Data Used to Infer Ridership, Rider Destinations, Unlinked Trips, and Passenger Miles42 cited

Cited by

  • 2012Strategic Look at Friday Exceptions in Weekday Schedules for Urban Transit9 cited
  • 2022Fare-Capping Impact Analysis Using Mobile Ticket Data8 cited
  • 2015Assessing Equity of Regular Public Transit Fare Policy Based on Gini Coefficient7 cited
  • 2023Measuring and Controlling Subway Fare Evasion: Improving Safety and Security at New York City Transit Authority6 cited
  • 2025Standards of fairness in the transportation literature5 cited

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