Integrating pedestrian-habitat models and network kernel density estimations to measure street pedestrian suitability

Delso, Javier; Martín, Belén; Ortega, Emilio; Weghe, Nico Van de

doi:10.1016/j.scs.2019.101736

Cited by 23 publications

(7 citation statements)

References 59 publications

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“…Facilitating the adoption of active travel toward sustainable and healthy transportation has become an emerging priority in the transportation and planning literatures ( Delso, Martín, Ortega, & Van De Weghe, 2019 ; Frank, Iroz-Elardo, Macleod, & Hong, 2019 ; Hosseinzadeh, Algomaiah, Kluger, & Li, 2021 ; Sallis, Bull et al, 2016 ). A large and growing body of evidence confirms positive relationships between various aspects of walkability and active travel ( Cervero & Kockelman, 1997 ; Frank & Pivo, 1994 ; Khattak & Rodriguez, 2005 ; Saelens & Handy, 2008 ; Saelens, Sallis, & Frank, 2003 ; Sallis et al, 2006 ) and physical activity ( Ewing, Schmid, Killingsworth, Zlot, & Raudenbush, 2003 ; Frank, Schmid, Sallis, Chapman, & Saelens, 2005 ).…”

Section: Introductionmentioning

confidence: 99%

Treating two pandemics for the price of one: Chronic and infectious disease impacts of the built and natural environment

Frank

Wali²

2021

Sustainable Cities and Society

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Compact walkable environments with greenspace support physical activity and reduce the risk for depression and several obesity-related chronic diseases, including diabetes and heart disease. Recent evidence confirms that these chronic diseases increase the severity of COVID-19 infection and mortality risk. Conversely, denser transit supportive environments may increase risk of exposure to COVID-19 suggesting the potential for contrasting chronic versus infectious disease impacts of community design. A handful of recent studies have examined links between density and COVID-19 mortality rates reporting conflicting results. Population density has been used as a surrogate of urban form to capture the degree of walkability and public transit versus private vehicle travel demand. The current study employs a broader range of built environment features (density, design, and destination accessibility) and assesses how chronic disease mediates the relationship between built and natural environment and COVID-19 mortality. Negative and significant relationships are observed between built and natural environment features and COVID-19 mortality when accounting for the mediating effect of chronic disease. Findings underscore the importance of chronic disease when assessing relationships between COVID-19 mortality and community design. Based on a rigorous simulation-assisted random parameter path analysis framework, we further find that the relationships between COVID-19 mortality, obesity, and key correlates exhibit significant heterogeneity. Ignoring this heterogeneity in highly aggregate spatial data can lead to incorrect conclusions with regards to the relationship between built environment and COVID-19 transmission. Results presented here suggest that creating walkable environments with greenspace is associated with reduced risk of chronic disease and/or COVID-19 infection and mortality.

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Section: Introductionmentioning

confidence: 99%

Treating two pandemics for the price of one: Chronic and infectious disease impacts of the built and natural environment

Frank

Wali²

2021

Sustainable Cities and Society

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“…As mobility levels increased, cities gradually transformed to meet the needs of motorised modes, while active modes such as walking were often pushed into second place. According to the literature, the consequences of motor-oriented developments that may discourage walking include changes in land-use mixes, deterioration and reduction of public spaces, decrease in pedestrian connectivity, and an increase in obstacles to walking in the city (Delso et al, 2019;García-Palomares, 2010). However, walking provides a number of health, social and environmental benefits for urban sustainability.…”

Section: Introductionmentioning

confidence: 99%

Street walking quality of the ‘Centro’ district, Madrid

et al. 2020

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Walking provides a number of health, social and environmental benefits for urban sustainability, which is why it has become attractive from the perspective of sustainable transport planning. The concept of walkability is related with the built environment and land use to facilitate walking to activities in an area. The aim of this work is to provide a set of street walking quality maps for the 'Centro' district in Madrid (Spain), covering four categories of walking needs: attractiveness, comfort, safety and accessibility. They classify the streets from least to most walkable in relation to each other. The maps are built using 21 urban environmental factors selected from the literature. The values for each factor are computed in each street from open access databases and combined following the PROMETHEE II method function in order to assign a street value for each of the four classes of walking needs.

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“…Delso et al assessed the pedestrian habitat quality of an urban street network with the use of KDE methods to identify areas in need of safety improvements (39). A network KDE technique was used in combination with origin-destination studies to develop a pedestrian proximity-connectivity map indicating the pedestrian habitat quality.…”

Section: Kernel Density Estimationmentioning

confidence: 99%

A Spatial Comparison of Roadway Lighting and Nonmotorist Crashes in Cambridge, MA

Hennessy

2021

Transportation Research Record: Journal of the Transportation R

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Dark lighting conditions, including those occurring at dawn and dusk, are correlated with increased nonmotorist crash frequency owing to reduced visibility, but little research has been done that investigates the spatial relationship between roadway lights and nonmotorist crashes on a community scale. This research used kernel density estimation methods to calculate the commonalities between geolocated streetlight data and non-motorist-vehicle crashes from 2010 to 2018 in Cambridge, Massachusetts. It was observed that dawn, dusk, and darkness showed a significant correlation between nonmotorist crashes and the absence of roadway lighting, all exceeding the control analysis undertaken with crashes occurring in daylight. The Getis-Ord [Formula: see text] hot spot cluster analysis indicated that areas with the greatest density of streetlights were associated with fewer nonmotorist crash hot spots. Future research seeks to corroborate these findings with data from other cities and to assess roadway lighting as a facet of pedestrian network connectivity.

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Integrating pedestrian-habitat models and network kernel density estimations to measure street pedestrian suitability

Cited by 23 publications

References 59 publications

Treating two pandemics for the price of one: Chronic and infectious disease impacts of the built and natural environment

Treating two pandemics for the price of one: Chronic and infectious disease impacts of the built and natural environment

Street walking quality of the ‘Centro’ district, Madrid

A Spatial Comparison of Roadway Lighting and Nonmotorist Crashes in Cambridge, MA

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