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Title:

FMS-TQ: Combining Smartphone and iBeacon Technologies in a Transit Quality Survey

Accession Number:

01590921

Record Type:

Component

Abstract:

The Internet of Things offers transit agencies opportunities to transform ways to measure, monitor, and manage performance. The authors demonstrate the potential value of two combined technologies, smartphones and iBeacons, for actively engaging customers in measuring satisfaction and co-monitoring bus service quality. Specifically, they adapt their smartphone- based survey system, Future Mobility Sensing (FMS), to connect with iBeacons for an event- driven approach to measure user-reported satisfaction before (i.e. at the stop), during (i.e., while traveling), or after (reflectively) transit trips. The system collects a combination of sensor (Bluetooth, GPS, WiFi, GSM and accelerometer) data to automatically detect and track transit trips, as well as soliciting users’ feedback on trip experience with in-app pop-up surveys. Passenger feedback are collected and uploaded onto the server at the end of each day. While these data are not intended to replace traditional monitoring channels and processes, they complement official performance monitoring through a more customer- centric perspective in relative real-time. The paper presents the theoretical foundations, describes a pilot implementation of the platform in Singapore, and discusses preliminary results that demonstrate technical feasibility.

Supplemental Notes:

This paper was sponsored by TRB committee AP000 Public Transportation Group.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-5870

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Li, Corinna
Zegras, P Christopher
Zhao, Fang
Pereira, Francisco C
Nawarathne, Kalan Vishwanath
Qin, Zhengquan
Ben-Akiva, Moshe
Zhao, Jinhua

Pagination:

16p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Photos; References; Tables

Geographic Terms:

Subject Areas:

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

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-5870

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 6:36PM