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Title:

Measuring the Impacts of Economic Well Being in Commuting Networks - A Case Study of Bogota, Colombia

Accession Number:

01623341

Record Type:

Component

Abstract:

Big data such as call detail records (CDRs) from mobile phones are novel resources for travel demand models. An important open question is how to use them to extract practical information in relation to urban mobility, socioeconomic development, and well-being. Can we study individual mobility characteristics by income group through the lens of Big Data? In this paper, the authors present a data analysis framework that uses urban mobility extracted from CDRs, to study various characteristics of the commuting network of Bogota, Colombia, relating them to income groups by their residential location. They show that the diversity of commuting trips, defined in terms of entropy of the trips, increases with the income of the population. Further, they show that vehicle travel times during commuting hours from lower income groups clearly suffer longer congested travel times. The authors' results detail a method to use passively generated mobile phone data as a low cost alternative for transportation policies that can benefit from economic well-being measures for population with different income levels.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ30 Standing Committee on Urban Transportation Data and Information Systems. Alternate title: Measuring Impacts of Economic Well-being in Commuting Networks: Case Study of Bogota, Colombia.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-03745

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Florez, Manuel A
Jiang, Shan
Li, Ruiqi
Mojica, Carlos H
Rios, Ramiro A
González, Marta C

Pagination:

18p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Big data

Geographic Terms:

Bogota (Colombia)

Subject Areas:

Economics; Highways; Society; Transportation (General)

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-03745

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:26AM