01590282

Component

https://doi.org/10.3141/2544-03

With the arrival of Transantiago, the integrated public transport system of Santiago, Chile, a new payment method was implemented: the smart card. A critical aspect for smart cards is the loading network. Transantiago had a weak loading network, and, to tackle fare evasion, a loan was given through the smart card to those with insufficient funds, to complete one additional trip. The benefit was active from 9 p.m. to 9 a.m. (the next day). No extensive analyses have examined the benefit—specifically whether the operating hours were optimal to reduce fare evasion. On May 1, 2014, an unannounced pilot plan extended the time window of the benefit until 11 a.m. Data analysis showed that this extension could effectively reduce fare evasion, as new smart card users took advantage of the benefit, effectively lowering failed trip attempts of users with positive but insufficient funds, and slightly increasing failed trip attempts by users with negative funds (who previously used the benefit). Estimates showed that 6,000 trips per day were no longer evaded as a result of the extension. On November 24, 2014, the benefit was publicly announced, after which failed trip attempts increased. Suggestions for the future are made to reduce fare evasion.

01588888

16-4009

English

pp 20–27

2016

Transportation Research Record: Journal of the Transportation Research Board

9780309441346

Print

Figures (10) ; Photos; References (9) ; Tables (3)

Crimes aboard public vehicles; Fares; Loans; Public transit

Fare evasion

Transantiago

Santiago (Chile)

Economics; Finance; Law; Public Transportation

TRIS, TRB, ATRI

Jan 12 2016 5:46PM

• Analysis of Grid Cell–Based Taxi Ridership with Large-Scale GPS Data
• Bus Network Microsimulation with General Transit Feed Specification and Tap-in-Only Smart Card Data
• BusViz: Big Data for Bus Fleets
• Evaluating Off-Peak Pricing Strategies in Public Transportation with an Activity-Based Approach
• How Smart Is Your Smart Card? Evaluating Transit Smart Card Data with Privacy Restrictions and Limited Penetration Rates
• Inferring Public Transport Access Distance from Smart Card Registration and Transaction Data
• Nonadditive Public Transit Fare Pricing Under Congestion with Policy Lessons from a Case Study in Toronto, Ontario, Canada
• Perspectives on Transit: Potential Benefits of Visualizing Transit Data
• Predicting Express Train Choice of Metro Passengers from Smart Card Data
• Rail Transit Ridership: Station-Area Analysis of Boston’s Massachusetts Bay Transportation Authority
• Reducing Subway Crowding: Analysis of an Off-Peak Discount Experiment in Hong Kong
• Social and Distributional Effects of Public Transport Fares and Subsidy Policies: Case of Madrid, Spain
• Toward a Demand Estimation Model Based on Automated Vehicle Location
• Use of Mobile Device Wireless Signals to Determine Transit Route-Level Passenger Origin–Destination Flows: Methodology and Empirical Evaluation
• Use of Mobile Ticketing Data to Estimate an Origin–Destination Matrix for New York City Ferry Service