01519922

Component

Participatory paradigms such as online social networks and crowdsourced platforms count on riders of urban transportation systems to provide information that can be of value to transportation agencies, while alleviating the cost and reliability challenges of traditional, physical, sensor-based solutions in obtaining such information. This paper presents a novel methodology to mine online social network updates to obtain this data from the citizens and riders of a city’s urban transportation system. The authors illustrate how the methodology can extract information from Twitter posts across New York City that the Metropolitan Transit Authority (MTA) can utilize to improve its service. Having demonstrated the promise of using online social networks as a way to harvest participatory data in the transportation arena, the paper concludes with a discussion of outstanding challenges that must be resolved before participatory paradigms can become a viable alternative to traditional solutions.

This paper was sponsored by TRB committee ABE30 Transportation Issues in Major U.S. Cities.

01503729

14-4507

English

11p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Crowdsourcing; Data mining; Transit riders; Traveler information and communication systems; Urban transportation

Social networking

Metropolitan Transit Authority (New York); Twitter

New York (New York)

Data and Information Technology; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2014 Paper #14-4507

TRIS, TRB, ATRI

Jan 27 2014 3:34PM