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Title:

Predicting Tour Patterns Derived from Ubiquitous Data Sources

Accession Number:

01475411

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Ubiquitous data sources (e.g. GPS traces, mobile phone call records, smart card entries etc.) are increasingly being popular among researchers for deriving mobility patterns. These mobility patterns depend on socio-economic characteristics of the traveler as well as associated situational, contextual and environmental factors. These patterns therefore vary substantially with age, gender, employment status, income level and other demographic factors. Habitual markers (propensity to use the internet, social networking websites, mobile phones or media for example) also provide useful indications about these patterns. In this research, the day-to-day tour patterns of travelers have been extracted from GPS and WLAN records and a discrete choice modeling framework has been proposed to predict these patterns using demographic factors, habitual markers and other travel related attributes collected from travelers of Lausanne, Switzerland. The model parameters are estimated by maximum likelihood technique using the software BIOGEME. Estimated model parameters confirm that demographic factors (e.g. age, occupation and gender) combined with habitual markers (e.g. habit of listening to music on smart phone) and other contextual attributes (e.g. day of the week) can be used to predict the tour pattern of an individual on a certain day. The developed model demonstrates how information obtained from ubiquitous data sources can be successfully used as a tool for transportation planning and management.

Supplemental Notes:

This paper was sponsored by TRB committee ADB40(1) Emerging Methods and Developments in Urban Activity and Travel Analysis.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-1330

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Iqbal, Shahadat
Siddique, Abu Bakkar
Islam, Mozahidul
Choudhury, Charisma F

Pagination:

16p

Publication Date:

2013

Conference:

Transportation Research Board 92nd Annual Meeting

Location: Washington DC, United States
Date: 2013-1-13 to 2013-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Geographic Terms:

Lausanne (Switzerland)

Subject Areas:

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

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-1330

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:21PM