Learning about spatial inequalities: Capturing the heterogeneity in the urban environment

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

Externe Organisationen

  • Universidade de Sao Paulo
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Details

OriginalspracheEnglisch
Aufsatznummer117732
FachzeitschriftJournal of Cleaner Production
Jahrgang237
Frühes Online-Datum22 Juli 2019
PublikationsstatusVeröffentlicht - 10 Nov. 2019

Abstract

Transportation systems can be conceptualized as an instrument of connecting people and their activities over the territory, playing an important role in developing sustainable cities. The current rationale of transport provision is based on population demand and rarely considers the potential of minimizing spatial disparities and uneven distribution of services. To meet the challenge of supporting a more equitable resources distribution, this work aims at identifying and describing patterns of urban services supply, their accessibility, and household income. By using a multidimensional approach, the spatial inequalities of a large city of the global south reveal that the low-income population has low access mainly to hospitals and cultural centers. A low-income group presents an intermediate level of accessibility to public schools and sports centers, evidencing the diverse condition of citizens in the peripheries. These complex outcomes generated by the interaction of land use and public transportation emphasize the importance of comprehensive methodological approaches to support decisions of urban projects, plans and programs. Reducing spatial inequalities, especially providing services for deprived groups, is fundamental to promote the sustainable use of resources and optimize the daily commuting.

Zitieren

Learning about spatial inequalities: Capturing the heterogeneity in the urban environment. / Siqueira-Gay, Juliana; Giannotti, Mariana; Sester, Monika.
in: Journal of Cleaner Production, Jahrgang 237, 117732, 10.11.2019.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Siqueira-Gay J, Giannotti M, Sester M. Learning about spatial inequalities: Capturing the heterogeneity in the urban environment. Journal of Cleaner Production. 2019 Nov 10;237:117732. Epub 2019 Jul 22. doi: 10.48550/arXiv.1908.00625, 10.1016/j.jclepro.2019.117732
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N1 - Funding Information: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001 . The second author would like to thanks for the financial support from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) [grant number: 310908/2017-5 ].

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