原文传递
Public Transportation: Marketing, Fare Policy, and Transformative Data Trends, 2016. Transportation Research Record: Journal of the Transportation Research Board, No. 2544
| 题名： | Public Transportation: Marketing, Fare Policy, and Transformative Data Trends, 2016. Transportation Research Record: Journal of the Transportation Research Board, No. 2544 |
| 作者： | empty |
| 关键词： | Public Transport Networks##Fare policy##Data trends##Transformative research##Performance measure##Traffic reduction programs##Structural equation modeling##New York City Transit (NYCT)## |
| 摘要： | Transportation Research Record: Journal of the Transportation Research Board, No. 2544 consists of 16 papers that explore public transportation, including: Use of Mobile Ticketing Data to Estimate an Origin–Destination Matrix for New York City Ferry Service. Evaluating Off-Peak Pricing Strategies in Public Transportation with an Activity-Based Approach. Impact of a Loan-Based Public Transport Fare System on Fare Evasion: Experience of Transantiago, Santiago, Chile. Nonadditive Public Transit Fare Pricing Under. Congestion with Policy Lessons from a Case Study in Toronto, Ontario, Canada. 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. Inferring Public Transport Access Distance from Smart Card Registration and Transaction Data. Predicting Express Train Choice of Metro Passengers from Smart Card Data. Bus Network Micro-simulation with General Transit Feed Specification and Tap-in-Only Smart Card Data. How Smart Is Your Smart Card? Evaluating Transit Smart Card Data with Privacy Restrictions and Limited Penetration Rates. Perspectives on Transit: Potential Benefits of Visualizing Transit Data. Bus-Viz: Big Data for Bus Fleets. Rail Transit Ridership: Station-Area Analysis of Boston’s Massachusetts Bay Transportation Authority. Use of Mobile Device Wireless Signals to Determine Transit Route-Level Passenger Origin–Destination Flows: Methodology and Empirical Evaluation Analysis of Grid Cell–Based Taxi Ridership with Large-Scale GPS Data. Toward a Demand Estimation Model Based on Automated Vehicle Location. |
| 总页数： | 164 |
| 报告类型： | 科技报告 |
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