Chicago Transit Authority - MIT Partnership

Funding: Chicago Transit Authority

Urban transportation is rapidly evolving with the introduction of new mobility services, including car sharing, bike sharing, and on-demand taxis and shuttles. These modes may both conflict and complement public transportation. Transit Lab works with Chicago Transit Authority to identify ways in which the new modes can be integrated with public transportation to improve user experience while achieving sustainability.

 

 

Abstract
Nassir N, Jinhua Zhao, John Attanucci, Frederick P. Salvucci, Nigel Wilson.  Submitted.  Bayesian Inference of Passenger Boarding Strategies at Express Stops with Real-time Bus Arrival Information. Transportation Research Part C.

Efficient design of express and local bus services in urban corridors requires accurate understanding of the travel demand and heterogeneities in passengers’ preferences and needs. Public transit Automated Fare Collection (AFC) systems provide a high-coverage source of data that facilitates an unprecedented opportunity for understanding the demand patterns and passenger preferences for more efficient service designs. In this paper, a Bayesian inference method is proposed to analyze the AFC...

Jinhua Zhao, Valerie Webb, Punit Shah.  2014.  Customer Loyalty Differences Between Captive and Choice Transit Riders. Journal of the Transportation Research Board. 2415:80–88.

Traditionally, efforts to increase the customer base of public transportation agencies have focused primarily on attracting first-time users. Customer retention, however, has many benefits not often realized. Loyal customers provide recommendations to others, increase and diversify their use of the service, and do not require acquisition costs associated with new customers. An earlier study identified key drivers of customer loyalty, with the Chicago Transit Authority (CTA) in Illinois as a...

Jinhua Zhao, Adam Rahbee, Nigel Wilson.  2007.  Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems. Computer-Aided Civil and Infrastructure Engineering. 22(5):376–387.

Automatic data collection (ADC) systems are becoming increasingly common in transit systems throughout the world. Although these ADC systems are often designed to support specific fairly narrow functions, the resulting data can have wide-ranging application, well beyond their design purpose. This article illustrates the potential that ADC systems can provide transit agencies with new rich data sources at low marginal cost, as well as the critical gap between what ADC systems directly offer...

People

Jintai Li's picture
PhD Student
Neema Nassir's picture
Assistant Professor at University of Melbourne
Mary Rose Fissinger's picture
PhD Candidate
Jinhua Zhao's picture
Edward H. and Joyce Linde Associate Professor