The impact of social segregation on human mobility in developing and industrialized regions

This study leverages mobile phone data to analyze human mobility patterns in a developing nation, especially in comparison to those of a more industrialized nation. Developing regions, such as the Ivory Coast, are marked by a number of factors that may influence mobility, such as less infrastructura...

Full description

Bibliographic Details
Published in:EPJ Data Science
Main Authors: Amini, Alexander A., Kung, Kevin S., Kang, Chaogui, Sobolevsky, Stanislav, Ratti, Carlo
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Department of Urban Studies and Planning, Massachusetts Institute of Technology. SENSEable City Laboratory
Format: Article in Journal/Newspaper
Language:English
Published: Springer Science+Business Media 2014
Subjects:
Online Access:http://hdl.handle.net/1721.1/88094
id ftmit:oai:dspace.mit.edu:1721.1/88094
record_format openpolar
spelling ftmit:oai:dspace.mit.edu:1721.1/88094 2023-06-11T04:17:31+02:00 The impact of social segregation on human mobility in developing and industrialized regions Amini, Alexander A. Kung, Kevin S. Kang, Chaogui Sobolevsky, Stanislav Ratti, Carlo Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Department of Urban Studies and Planning Massachusetts Institute of Technology. SENSEable City Laboratory Amini, Alexander A. Kung, Kevin S. Kang, Chaogui Sobolevsky, Stanislav Ratti, Carlo 2014-06-20T13:55:53Z application/pdf http://hdl.handle.net/1721.1/88094 en eng Springer Science+Business Media http://dx.doi.org/10.1140/epjds31 EPJ Data Science 2193-1127 http://hdl.handle.net/1721.1/88094 Amini, Alexander, Kevin Kung, Chaogui Kang, Stanislav Sobolevsky and Carlo Ratti. "The impact of social segregation on human mobility in developing and industrialized regions." EPJ Data Science 2014, 3:6, pp. 1-20. orcid:0000-0003-2026-5631 orcid:0000-0002-9673-1267 orcid:0000-0001-6281-0656 orcid:0000-0001-7080-9196 Alexander Amini et al.; licensee BioMed Central Ltd. BMC Article http://purl.org/eprint/type/JournalArticle 2014 ftmit https://doi.org/10.1140/epjds31 2023-05-29T08:32:17Z This study leverages mobile phone data to analyze human mobility patterns in a developing nation, especially in comparison to those of a more industrialized nation. Developing regions, such as the Ivory Coast, are marked by a number of factors that may influence mobility, such as less infrastructural coverage and maturity, less economic resources and stability, and in some cases, more cultural and language-based diversity. By comparing mobile phone data collected from the Ivory Coast to similar data collected in Portugal, we are able to highlight both qualitative and quantitative differences in mobility patterns - such as differences in likelihood to travel, as well as in the time required to travel - that are relevant to consideration on policy, infrastructure, and economic development. Our study illustrates how cultural and linguistic diversity in developing regions (such as Ivory Coast) can present challenges to mobility models that perform well and were conceptualized in less culturally diverse regions. Finally, we address these challenges by proposing novel techniques to assess the strength of borders in a regional partitioning scheme and to quantify the impact of border strength on mobility model accuracy. Ericsson, Inc. Singapore-MIT Alliance for Research and Technology (SMART) program National Science Foundation (U.S.) King Abdulaziz City for Science and Technology MIT-Portugal Program AT & T Volkswagenwerk Audi AG BBVA (Firm) Coca-Cola Company Expo Milano 2015 Ferrovial (Firm) Wood Buffalo (Alta. : Regional municipality) Article in Journal/Newspaper Wood Buffalo DSpace@MIT (Massachusetts Institute of Technology) Alta Wood Buffalo ENVELOPE(-112.007,-112.007,57.664,57.664) EPJ Data Science 3 1
institution Open Polar
collection DSpace@MIT (Massachusetts Institute of Technology)
op_collection_id ftmit
language English
description This study leverages mobile phone data to analyze human mobility patterns in a developing nation, especially in comparison to those of a more industrialized nation. Developing regions, such as the Ivory Coast, are marked by a number of factors that may influence mobility, such as less infrastructural coverage and maturity, less economic resources and stability, and in some cases, more cultural and language-based diversity. By comparing mobile phone data collected from the Ivory Coast to similar data collected in Portugal, we are able to highlight both qualitative and quantitative differences in mobility patterns - such as differences in likelihood to travel, as well as in the time required to travel - that are relevant to consideration on policy, infrastructure, and economic development. Our study illustrates how cultural and linguistic diversity in developing regions (such as Ivory Coast) can present challenges to mobility models that perform well and were conceptualized in less culturally diverse regions. Finally, we address these challenges by proposing novel techniques to assess the strength of borders in a regional partitioning scheme and to quantify the impact of border strength on mobility model accuracy. Ericsson, Inc. Singapore-MIT Alliance for Research and Technology (SMART) program National Science Foundation (U.S.) King Abdulaziz City for Science and Technology MIT-Portugal Program AT & T Volkswagenwerk Audi AG BBVA (Firm) Coca-Cola Company Expo Milano 2015 Ferrovial (Firm) Wood Buffalo (Alta. : Regional municipality)
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Massachusetts Institute of Technology. SENSEable City Laboratory
Amini, Alexander A.
Kung, Kevin S.
Kang, Chaogui
Sobolevsky, Stanislav
Ratti, Carlo
format Article in Journal/Newspaper
author Amini, Alexander A.
Kung, Kevin S.
Kang, Chaogui
Sobolevsky, Stanislav
Ratti, Carlo
spellingShingle Amini, Alexander A.
Kung, Kevin S.
Kang, Chaogui
Sobolevsky, Stanislav
Ratti, Carlo
The impact of social segregation on human mobility in developing and industrialized regions
author_facet Amini, Alexander A.
Kung, Kevin S.
Kang, Chaogui
Sobolevsky, Stanislav
Ratti, Carlo
author_sort Amini, Alexander A.
title The impact of social segregation on human mobility in developing and industrialized regions
title_short The impact of social segregation on human mobility in developing and industrialized regions
title_full The impact of social segregation on human mobility in developing and industrialized regions
title_fullStr The impact of social segregation on human mobility in developing and industrialized regions
title_full_unstemmed The impact of social segregation on human mobility in developing and industrialized regions
title_sort impact of social segregation on human mobility in developing and industrialized regions
publisher Springer Science+Business Media
publishDate 2014
url http://hdl.handle.net/1721.1/88094
long_lat ENVELOPE(-112.007,-112.007,57.664,57.664)
geographic Alta
Wood Buffalo
geographic_facet Alta
Wood Buffalo
genre Wood Buffalo
genre_facet Wood Buffalo
op_source BMC
op_relation http://dx.doi.org/10.1140/epjds31
EPJ Data Science
2193-1127
http://hdl.handle.net/1721.1/88094
Amini, Alexander, Kevin Kung, Chaogui Kang, Stanislav Sobolevsky and Carlo Ratti. "The impact of social segregation on human mobility in developing and industrialized regions." EPJ Data Science 2014, 3:6, pp. 1-20.
orcid:0000-0003-2026-5631
orcid:0000-0002-9673-1267
orcid:0000-0001-6281-0656
orcid:0000-0001-7080-9196
op_rights Alexander Amini et al.; licensee BioMed Central Ltd.
op_doi https://doi.org/10.1140/epjds31
container_title EPJ Data Science
container_volume 3
container_issue 1
_version_ 1768376796097544192