An analysis of students' Urban mobility using arequipa smart mobility application

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Abstract

In the city of Arequipa, the term mobility has been addressed by different local government levels. As a result, many sustainable urban mobility plans are been developing. However, they lack a precise focus on how citizens move in the city because these mobility plans are supported by data that was collected using old traditional techniques, such as survey forms. In this research, we present a mobile application called Arequipa Smart Mobility, which was used to gather tracking data from a group of university students. The data was cleaned to obtain trajectories without noise and identify clusters that was analyzed in order to identify highly demanded urban spaces by students in the metropolitan area of the city of Arequipa. The results allow us to understand how students interact with public spaces from the point of view of urban mobility. In addition, we discuss these results to explain how the location of public spaces could influence student mobility patterns.

Original languageEnglish
Title of host publicationProceedings of the 2019 IEEE 1st Sustainable Cities Latin America Conference, SCLA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728139678
DOIs
StatePublished - Aug 2019
Event1st IEEE Sustainable Cities Latin America Conference, SCLA 2019 - Arequipa, Peru
Duration: 26 Aug 201929 Aug 2019

Publication series

NameProceedings of the 2019 IEEE 1st Sustainable Cities Latin America Conference, SCLA 2019

Conference

Conference1st IEEE Sustainable Cities Latin America Conference, SCLA 2019
Country/TerritoryPeru
CityArequipa
Period26/08/1929/08/19

Bibliographical note

Funding Information:
ACKNOWLEDGE We want to thank to the Universidad Nacional de San Agustín de Arequipa with contract IBA 0021-2017-UNSA for supporting the research project “Smart city: Diseño de un Modelo conceptual para integración de sistemas sectoriales en ámbitos inteligentes: Medio Ambiente, Seguridad, Sanidad, Salud, Movilidad, Educación, Economía y Gobierno”

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Mobile tracking data
  • Urban mobility
  • Urban spaces

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