01629158

Component

This paper explores the data-related challenges faced when developing smart mobility applications for a future Smart City, with a focus on the use of crowdsourcing techniques to create and maintain datasets required to support smart mobility. A computational framework was developed to allow citizens to view, create, and maintain mobility related data via an Android mobile app and Web portal. A three phase study was conducted in the trial area of the Indian Institute of Technology Bombay, with the results of user surveys obtained following each stage directing future system developments. These surveys also explored any impacts the availability of data created by citizens had on the behaviour of users. The results indicate that the developed system had a positive impact on the daily travel of users by reducing the waiting time at bus stops. It is also observed that one of the most pertinent motivations for users to provide data is that this involvement gives them a sense of social belonging as opposed to a desire to receive any rewards or recognition for the data they provide.

This paper was sponsored by TRB committee ABJ50 Standing Committee on Information Systems and Technology.

01618707

17-03035

English

16p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Bus transit; Crowdsourcing; Data collection; Mobile applications; Real time information; Waiting time

Mumbai (India)

Data and Information Technology; Planning and Forecasting; Public Transportation

Transportation Research Board Annual Meeting 2017 Paper #17-03035

TRIS, TRB, ATRI

Dec 8 2016 11:08AM