Does the built environment shape commuting? The case of Lyon (France)

Raux, Charles; Lamatkhanova, Ayana; Grassot, Lény

doi:10.4000/cybergeo.36629

Cited by 2 publications

(1 citation statement)

References 49 publications

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“…For instance, the wealthiest individuals could choose routes that enable them to avoid seeing poverty or feeling unsafe (Atkinson, 2016). In France, social geographers and environmental psychologists have highlighted differing spatial practices and space representations among individuals according to their level of education (Dias & Ramadier, 2018), their gender (Di Méo, 2012), their age (Perchoux et al, 2014), or the built environment of their neighborhood (Raux et al, 2021). The relatively homogeneous socioeconomic and demographic profile of OSM contributors is, therefore, likely to restrict the areas they frequent and map.…”

Section: Discussionmentioning

confidence: 99%

Mapping the food environment: The reliability of volunteered geographical information and institutional data sources in France

Vonthron

Perrin

Soulard

2022

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The obesity epidemic and inequalities in access to food are prompting increasing numbers of food environment studies, which rely on secondary data sources for mapping. This article assesses the reliability of the two main food outlet data sources in France: the volunteered geographical information (VGI) collaborative map OpenStreetMap (OSM) and the national business register Sirene. Their information on food outlets was assessed through ground-truthing in the city-region of Montpellier. Sensitivity, positive predictive value, and concordance were computed for each database.We analyzed the socio-spatial variability of these measures according to households' income level. The sensitivity of Sirene is good and that of OSM moderate, while the opposite holds for positive predictive value, and the concordance of both OSM and Sirene is fair. Sirene provides more reliable data on deprived neighborhoods and OSM on wealthy neighborhoods. Caution is recommended regarding the classifications on which they are based, the time required to update the institutional database, and socially influenced contributions to VGI.

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Section: Discussionmentioning

confidence: 99%

Mapping the food environment: The reliability of volunteered geographical information and institutional data sources in France

Vonthron

Perrin

Soulard

2022

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Assessing Non-linear Influences of Urban Layout on Driving Travel Distance: A Mumbai Case Study

Shkera,

Patankar

2024

TOTJ

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Introduction This study investigates the impact of built environment factors on travel behavior in Mumbai, India, focusing on the non-linear effects on driving distances. The rapid urbanization and complex urban of Mumbai constitute present challenges for sustainable transportation, necessitating a deeper understanding of how urban planning influences travel behavior. While demographic factors have often been highlighted in travel studies, this research prioritizes the role of built environment factors. Materials and Methods The study utilized Gradient Boosting Decision Trees (GBDT) to analyze household travel survey data from Mumbai, capturing the non-linear relationships between built environment variables and driving distances. Partial dependence plots were used to visualize these effects, and the relative importance of each variable was assessed to identify key determinants of travel behavior. Results The analysis identified trip time as the most influential factor in determining driving distances, followed by built environment characteristics, such as proximity to commercial areas and intersection density. Socio-demographic factors were found to have a comparatively low impact. Non-linear relationships were observed, such as the stabilization of driving distances beyond certain thresholds of block density and proximity to bus stops. Discussion The findings challenge the traditional emphasis on demographic factors in explaining travel behavior, highlighting the significant role of urban form. The study reveals that specific built environment factors, such as accessibility and connectivity, play a crucial role in shaping driving behavior in a rapidly urbanizing city like Mumbai. These results suggest that urban planning strategies should prioritize these factors to reduce car dependency. Conclusion This study underscores the importance of the built environment in influencing travel behavior in Mumbai, particularly in reducing driving distances. The insights gained offer valuable guidance for urban planners and policymakers aiming to promote sustainable mobility in rapidly developing cities. Further research is recommended to validate and expand upon these findings in other urban contexts.

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Does the built environment shape commuting? The case of Lyon (France)

Cited by 2 publications

References 49 publications

Mapping the food environment: The reliability of volunteered geographical information and institutional data sources in France

Mapping the food environment: The reliability of volunteered geographical information and institutional data sources in France

Assessing Non-linear Influences of Urban Layout on Driving Travel Distance: A Mumbai Case Study

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