2016
DOI: 10.1016/j.habitatint.2014.09.001
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Urban segregation and local retail environments. Evidence from Mexico City

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Cited by 10 publications
(8 citation statements)
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“…In the case of Mexico, one's neighborhood likely also matters in these ways, but we must build an evidence base demonstrating this. An example of this kind of work is Ruiz-Rivera, Suárez, & Delgado-Campos (2016), who demonstrate a lack of access to retail and other urban amenities in highly segregated low-income neighborhoods. This research is important for prioritizing and guiding policy efforts to change spatial structure, which are too often made without research to Notes: *, **, and *** indicate statistical significance at the 0.1, 0.05, and 0.01 levels.…”
Section: Conclusion and Future Researchmentioning
confidence: 99%
“…In the case of Mexico, one's neighborhood likely also matters in these ways, but we must build an evidence base demonstrating this. An example of this kind of work is Ruiz-Rivera, Suárez, & Delgado-Campos (2016), who demonstrate a lack of access to retail and other urban amenities in highly segregated low-income neighborhoods. This research is important for prioritizing and guiding policy efforts to change spatial structure, which are too often made without research to Notes: *, **, and *** indicate statistical significance at the 0.1, 0.05, and 0.01 levels.…”
Section: Conclusion and Future Researchmentioning
confidence: 99%
“…Moran's I has been widely used to analyze spatial patterns of accessibility (Wang et al, 2019), measures the degree of randomness of urban sprawl (Steurer & Bayr, 2020), and examine the distribution pattern of air pollution (Han, 2020). Meanwhile, the LISA has been used to analyze urban segregation (Ruiz-Rivera et al, 2016) and identify urban sprawl (He et al, 2017).…”
Section: The Methodsmentioning
confidence: 99%
“…Ye et al (2020) examined small and big retail pattern using different spatial analysis, such as Kernel density estimation. Other spatial analyses used in previous research included Kendall's Tahu correlation (Poerwati et al, 2019), spatial metrics (Xing & Meng, 2020), and Moran Index (Liang & Wilhelmsson, 2011;Ozuduru & Varol, 2011;Ruiz-Rivera et al, 2016;Widaningrum et al, 2017). This research examines the spatial pattern using spatial autocorrelation Moran Index (Moran's I) combined with Local Indicators of Spatial Association (LISA), which provides visualization of where the spatial pattern existed.…”
Section: Introductinmentioning
confidence: 99%
“…Ces résultats sont cependant à nuancer : selon l'enquête Hungry Cities Partnership sur l'insécurité alimentaire dans la ZMM(Capron et al, 2018) qui a donné lieu aux résultats précédents, Les supermarchés au Mexique et dans la Zone Métropolitainede Mexico EchoGéo, 60 | 2022 70 % des ménages interrogés disposant d'une sécurité alimentaire achètent leur nourriture dans les supermarchés, mais cette proportion tombe à 40 % pour les ménages ayant une insécurité alimentaire élevée. Sur la base des informations du DENUE,Ruiz-Rivera et al (2016) concluent quant à eux que l'offre en supermarchés est meilleure dans les quartiers ségrégués riches et dans les quartiers non ségrégués que dans les quartiers ségrégués pauvres (respectivement 0,9 et 0,3 contre 0,1 pour 10 000 habitants). Comme le mentionne Casado au sujet du Mexique : « bien que la population la plus marginalisée soit mieux desservie, le différentiel reste stable : 91 % de la population la moins marginalisée a un supermarché à moins de 1,5 km de son domicile, un chiffre qui chute à 40,9 % pour la population la plus marginalisée »(Casado, 2018, p. 184).…”
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