Browsing by Subject "Walk Score"

Now showing 1 - 2 of 2
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    Gendered walkability: Building a daytime walkability index for women
    (Journal of Transport and Land Use, 2019) Golan, Yael; Wilkinson, Nancy Lee; Henderson, Jason; Weverka, Aiko
    Urban walkability is influenced both by built environment features and by pedestrian demographics. Research has shown that factors influencing women’s walking differ from those affecting men’s. Using a mixed-method approach, this study creates a new women-specific, GIS-based walkability index using San Francisco as a case study, and answers two questions: Which variables most influence women’s propensity to walk? And Does the leading walkability index, Walk Score, reflect women’s walkability? Focus group participants (n=17) ranked crime, homelessness and street/sidewalk cleanliness as the three most influencing factors on women’s walkability, accounting for 58% to 67% of the Women’s Walkability Index’s total score. The least walkable areas in San Francisco, according to this index, are rated as some of the most walkable neighborhoods in the city by Walk Score, despite high crime and homelessness density. Walk Score is negatively correlated with the new Women’s Walkability Index (Spearman’s rho = -0.585) and inaccurately represents women’s walkability. If the new index accurately captures the reality of women’s walking, then some of the most widely accepted conventions about what kind of areas promote walking could be inaccurate when it comes to women.
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    How much is enough? Assessing the influence of neighborhood walkability on undertaking 10-minute walks
    (Journal of Transport and Land Use, 2018) Boisjoly, Geneviève; Wasfi, Rania; El-Geneidy, Ahmed
    Neighborhood walkability is increasingly perceived as an effective way to support individuals’ health, since living in a walkable environment is associated with increases in utilitarian walking. Yet, while people are more likely to walk in more walkable neighborhoods, increased walkability can also lead to walking shorter distances, thus mitigating the positive health outcomes associated with walkable environments. Given that the World Health Organization recommends physical activity to be performed in sessions of at least 10 minutes, the aim of this research is to explore the relationship between neighborhood walkability and individuals’ likeliness of walking in sessions of at least 10 minutes. A multilevel logistic regression is generated using data from the Montreal, Canada, 2013 Origin-Destination Survey. The results show that the probability of walking at least 10 minutes for shopping purposes is equally high in the 80-89 and 90-100 Walk Score neighborhoods. In contrast, car ownership is a strong predictor of walking at least 10 minutes, especially in higher Walk Score neighborhoods. These findings suggest that transport policies aimed at reducing car ownership, combined with land use policies, can be most effective in supporting the minimal 10-minute sessions of walking for shopping purposes. This study provides a nuanced assessment of walkability and is of relevance to researchers and planners wishing to assess and develop policies for increasing health benefits through active transportation.