Improving Fairness and Equity by Minimizing Community Vulnerability to Food Accessibility: A Computational Urbanism Approach

Maria Jose Perez-Pereda, Aleksandra Krstikj, Jose Emmanuel Ramirez-Marquez

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

One important point of interest in urban areas is the food outlet, especially retailers that provide fresh and healthy food. Street markets, or tianguis are an affordable option throughout Mexico. Unfortunately, this type of outlet is sometimes inaccessible or significantly far to reach. This paper provides a vulnerability minimization framework to determine the optimal re-allocation of street markets by considering equity and reachability and the exact walking distance and demand by blocks in a city. The framework introduces new concepts of vulnerability along with a novel implementation of the Facility Location Problem. A case study has been used to exemplify the framework based on actual data from a region in Mexico City’s urban zone showing how significant improvements in equity and reachability can be achieved.

Original languageEnglish
Pages (from-to)567-584
Number of pages18
JournalSocial Indicators Research
Volume171
Issue number2
DOIs
StatePublished - Jan 2024

Keywords

  • Computational urbanism
  • Food accessibility
  • Optimization
  • Spatial equity
  • Vulnerability

Fingerprint

Dive into the research topics of 'Improving Fairness and Equity by Minimizing Community Vulnerability to Food Accessibility: A Computational Urbanism Approach'. Together they form a unique fingerprint.

Cite this