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Uncovering San Francisco, California, Muni's Proof-of-Payment Patterns to Help Reduce Fare Evasion
0 references·16 citing·40 second hop
Uncovering San Francisco, California, Muni's Proof-of-Payment Patterns to Help Reduce Fare Evasion (2011)Uncovering San Francisco, California, Mun…Fare inspection in proof-of-payment transit networks: A review (2024)Fare inspection in proof-of-p…Evaluating fare evasion risk in bus transit networks (2023)Evaluating fare evasion risk …Segmenting fare-evaders by tandem clustering and logistic regression models (2022)Segmenting fare-evaders by ta…Fare evasion on public transport: Who, when, where and how? (2022)Fare evasion on public transp…Understanding Transantiago Users’ Motivations for Paying or Evading Payment of Bus Fares (2021)Understanding Transantiago Us…Fare inspection patrols scheduling in transit systems using a Stackelberg game approach (2021)Fare inspection patrols sched…A hybrid discrete choice model to understand the effect of public policy on fare evasion discouragement in Bogotá's Bus Rapid Transit (2021)A hybrid discrete choice mode…Fare evasion correction for smartcard-based origin-destination matrices (2020)Fare evasion correction for s…Can we estimate accurately fare evasion without a survey? Results from a data comparison approach in Lyon using fare collection data, fare inspection data and counting data (2020)Can we estimate accurately fa…Why do people fare evade? A global shift in fare evasion research (2018)Why do people fare evade? A g…Identification of the determinants of fare evasion (2017)Identification of the determi…Get on board: Assessing an all-door boarding pilot project in Montreal, Canada (2017)Get on board: Assessing an al…Estimating Fare Noninteraction and Evasion with Disaggregate Fare Transaction Data (2017)Estimating Fare Noninteractio…Decreasing fare evasion without fines? A microeconomic analysis (2016)Decreasing fare evasion witho…All aboard at all Doors (2014)All aboard at all DoorsAlgorithm to Measure Daily Bus Passenger Miles Using Electronic Farebox Data for National Transit Database Section 15 Reporting (2011)Algorithm to Measure Daily Bu…Determinants of Bus Dwell Time (2004)What affects commute mode choice: neighborhood physical structure or preferences toward neighborhoods? (2004)A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels (2006)Don’t stop just yet! A simple, effective, and socially responsible approach to bus-stop consolidation (2015)Contagion and Differentiation in Unethical Behavior (2009)Fare evasion in proof-of-payment transit systems: Deriving the optimum inspection level (2014)What is behind fare evasion in urban bus systems? An econometric approach (2015)On evasion behaviour in public transport: Dissatisfaction or contagion? (2019)Measuring and Controlling Subway Fare Evasion (2011)Free public transport: A socio-cognitive analysis (2016)Fare Evasion in Public Transport: Grouping Transantiago Users’ Behavior (2019)Enforced versus voluntary tax compliance: The “slippery slope” framework (2007)Dysfunctional Customer Behavior Severity: An Empirical Examination (2009)Measuring, explaining, and controlling tax evasion: lessons from theory, experiments, and field studies (2011)Is it expensive to be poor? Public transport in Sweden (2020)Housing and accessibility after the COVID-19 pandemic: Rebuilding for resilience, equity and sustainable mobility (2021)“Who can I ask for help?”: Mechanisms behind digital inequality in public transport (2023)Smart card data use in public transit: A literature review (2011)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Do students, workers, and unemployed passengers respond differently to the intention to evade fares? An empirical research (2020)The potential of Wi-Fi data to estimate bus passenger mobility (2023)Crime and Public Transport (2000)Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems (2007)Automated extraction of origin-destination demand for public transportation from smartcard data with pattern recognition (2021)Recognizing Real-Time Transfer Patterns between Metro and Bus Systems Based on Spatial–Temporal Constraints (2022)Origin–destination matrices from smartphone apps for bus networks (2024)Handbook of Personality Theory and Research. (1970)The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. (1999)Contemporary Guidance for Stated Preference Studies (2017)Assessing the factors affecting first and last mile accessibility in transit-oriented development: a literature review (2025)Fare evasion in public transport systems: a review of the literature (2020)Fare evasion in public transport: How does it affect the optimal design and pricing? (2023)Bibliometric analysis of quality of service in public transportation: Current and future trends (2024)Reliability and Risk Assessment (1994)Social norms and conditional cooperative taxpayers (2009)Representative evidence on lying costs (2014)Fare inspection patrolling under in-station selective inspection policy (2023)Toward real-time deterrence against fare evasion risk in public transport (2024)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems Using Game Theory (2012)
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Cited by

  • 2018Why do people fare evade? A global shift in fare evasion research43 cited
  • 2017Identification of the determinants of fare evasion34 cited
  • 2016Decreasing fare evasion without fines? A microeconomic analysis33 cited
  • 2021A hybrid discrete choice model to understand the effect of public policy on fare evasion discouragement in Bogotá's Bus Rapid Transit28 cited
  • 2023Evaluating fare evasion risk in bus transit networks27 cited
  • 2020Can we estimate accurately fare evasion without a survey? Results from a data comparison approach in Lyon using fare collection data, fare inspection data and counting data25 cited
  • 2022Fare evasion on public transport: Who, when, where and how?20 cited
  • 2014All aboard at all Doors19 cited
  • 2020Fare evasion correction for smartcard-based origin-destination matrices18 cited
  • 2024Fare inspection in proof-of-payment transit networks: A review16 cited
  • 2021Fare inspection patrols scheduling in transit systems using a Stackelberg game approach16 cited
  • 2011Algorithm to Measure Daily Bus Passenger Miles Using Electronic Farebox Data for National Transit Database Section 15 Reporting14 cited
  • 2017Get on board: Assessing an all-door boarding pilot project in Montreal, Canada13 cited

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2021
Understanding Transantiago Users’ Motivations for Paying or Evading Payment of Bus Fares
13 cited
  • 2022Segmenting fare-evaders by tandem clustering and logistic regression models13 cited
  • 2017Estimating Fare Noninteraction and Evasion with Disaggregate Fare Transaction Data12 cited