For research in public transportation systems, the team has focused on the investigation of transit performance measures and their influence on transit users’ behavior, in order to identify ways to increase transit use. To this effect, the team has developed spatial interpolation model to predict transit ridership, and new modeling paradigms that are based on sound behavioral principles of consumer choice. Among other things, the research conducted has led to profound insight into important planning considerations such as optimal location of park and ride systems, and the like.

Comparative Analysis of the Impacts of Delivery Restrictions in Large Cities

This project is intended to assess the observed impacts of the delivery restrictions that have been enacted and proposed in large cities such as New York (USA), Mumbai, Delhi, and Chennai (India), Bogotá and Barranquilla (Colombia), and Sao Paulo (Brazil). This comparative study is important because it would provide a real life view on this complex subject, and would confirm or reject the research conducted that suggests the possibility of negative unintended effects on traffic congestion and pollution.

Improving Freight System Performance in Metropolitan Areas - NCFRP Project # 38

This project focuses on freight systems as crucial economic and quality of life contributor, and a major source of environmental pollution, unwanted noise and safety hazards. The primary goal of this project is to improve the overall performance of the urban freight industry.

The project will define a pragmatic and conceptually well-grounded planning guide that includes both supply and demand strategies (including hybrids), that is supported by solid guidelines to establish effective and proactive stakeholder engagement processes and software tools to estimate freight trip generation in urban areas. The project will provide practitioners with comprehensive, pragmatic, and actionable guidelines on how to plan, design, and implement both supply and demand strategies.

Measuring the Impacts of Social Media on Advancing Public Transit

This project is a collaboration between Transportation Research and Education Center (TREC) at Portland State University (PSU) and the Center for Infrastructure Transportation & Environment (CITE) at Rensselaer Polytechnic Institute seeking to develop performance measures for assessing the impacts of social media on promoting public transit. Revolutionary changes have occurred in the communication landscape, and there has been a rapid diffusion of social media use as a means of communicating transit information to the public. Significant resources are being directed to the use of social media in communication, yet little effort exists which measures the impacts of these popular vehicles of communication. Rarely studied is the role of social media in achieving the overarching goals of advancing the mission of transit agencies through increasing recruitment and retention of transit riders; increasing resources, customer satisfaction, addressing system issues, performance efficiency and effectiveness and improving employee productivity and morale. There is a need to measure the impacts of social media and account for the cost effectiveness of its wide use as a means of communication in public transit agencies. This research intends to extend understanding about whether investments in social media tools effectively achieve their intended purposes.

The goal of this project is to identify social media-related measures for public transit agencies that can comprehensively capture the impacts of social media use on agency performance. This project will rely on a review of the research and practice literature to document findings in other fields on performance measures used to assess the impacts of social media. Best practices will be identified. A survey of a random sample of public transit agencies nationwide will target identifying performance measures currently used to document impacts. Gaps will be identified. Investigators will compare and contrast measures used in transit agencies and other fields and identify a list of performance measures that are most effective for transit agencies.