A model-based approach to select case sites for walkability audits

Moniruzzaman, Md.; Páez, Antonio

doi:10.1016/j.healthplace.2012.09.013

Cited by 42 publications

(13 citation statements)

References 47 publications

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“…In addition, our 1 km network neighborhood buffer may not accurately reflect physical activity areas for different urban settings and sociodemographic subgroups. Indeed other walkability indices using geographic information systems data exist and are based on density, diversity, and design [75], such as the walkscore [76] that may capture a larger geographic area surrounding the participants’ homes. However, the quality of these measures depends on the accuracy of the data and they often include only limited snapshots in time that may not coincide with the study period.…”

Section: Discussionmentioning

confidence: 99%

One size doesn’t fit all: cross-sectional associations between neighborhood walkability, crime and physical activity depends on age and sex of residents

et al. 2017

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BackgroundLow-income African American adults are disproportionately affected by obesity and are also least likely to engage in recommended levels of physical activity (Flegal et al. JAMA 303(3):235-41, 2010; Tucker et al. Am J Prev Med 40(4):454-61, 2011). Moderate-to-vigorous physical activity (MVPA) is an important factor for weight management and control, as well as for reducing disease risk (Andersen et al. Lancet 368(9532):299-304, 2006; Boreham and Riddoch J Sports Sci 19(12):915-29, 2001; Carson et al. PLoS One 8(8):e71417, 2013). While neighborhood greenspace and walkability have been associated with increased MVPA, evidence also suggests that living in areas with high rates of crime limits MVPA. Few studies have examined to what extent the confluence of neighborhood greenspace, walkability and crime might impact MVPA in low-income African American adults nor how associations may vary by age and sex.MethodsIn 2013 we collected self-reported data on demographics, functional limitations, objective measures of MVPA (accelerometry), neighborhood greenspace (geographic information system), and walkability (street audit) in 791 predominantly African-American adults (mean age 56 years) living in two United States (U.S.) low-income neighborhoods. We also acquired data from the City of Pittsburgh on all crime events within both neighborhoods. Exposure: To examine cross-sectional associations of neighborhood-related variables (i.e., neighborhood greenspace, walkability and crime) with MVPA, we used zero-inflated negative binomial regression models. Additionally, we examined potential interactions by age (over 65 years) and sex on relationships between neighborhood variables and MVPA.ResultsOverall, residents engaged in very little to no MVPA regardless of where they lived. However, for women, but not men, under the age of 65 years, living in more walkable neighborhoods was associated with more time engaged in MVPA in (β = 0.55, p = 0.007) as compared to their counterparts living in less walkable areas. Women and men age 65 years and over spent very little time participating in MVPA regardless of neighborhood walkability. Neither greenspace nor crime was associated with MVPA in age-sex subgroups.ConclusionsNeighborhood walkability may play a stronger role on MVPA than accessible greenspace or crime in low-income urban communities. Walkability may differentially impact residents depending on their age and sex, which suggests tailoring public health policy design and implementation according to neighborhood demographics to improve activity for all.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-016-3959-z) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

One size doesn’t fit all: cross-sectional associations between neighborhood walkability, crime and physical activity depends on age and sex of residents

et al. 2017

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“…Interestingly, prior research on auditing tools has been mainly focused on four axes. First, to analyze statistically inter-rater reliability [32,33]; second, to assess the effectiveness of virtual audit tools in comparison to in-field auditing [34,35]; third, to examine optimum sampling techniques [9,36]; and fourth, to validate their performance in quantifying effectively activity-friendly environments [1,6]. However, micro-level walkability auditing tools deal with several barriers that limit their power [34,37].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Additionally, previous research has shown that microscale walkability concepts are suitable tools to measure activityfriendly places and to support planners in designing healthier and livable communities [1,8]. Still, microscale variables present challenges in data collection, as they require systematic observation of pedestrian streetscapes and in turn require a time-consuming and labor-intensive research protocol [9]. For instance, Day et al [10] reported that a 160item list of a street observation instrument required about 20 minutes of fieldwork per segment.…”

Section: Introductionmentioning

confidence: 99%

Microscale Walkability Modelling. The Case of Athens City Centre

Bartzokas-Tsiompras¹,

Photis²

2021

IJSDP

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To date, several macro-level walkability measures have been proposed, but microscale and audit-based walkability approaches prove to be highly effective to support realistic, quick and cheap mechanisms for pedestrian-friendly environments. Yet, walkability audits are time- and cost-intensive solutions, because they require several streetscape observations. This study aims to investigate whether a multiple linear regression model of urban form- and function-related variables can effectively predict an audit-based average walkability indicator. For this purpose, we use a virtual, brief and reliable audit tool (MAPS-Mini) in Athens city centre in order to collect street-level data and in turn to construct a microscale walkability indicator (dependent variable). Moreover, our approach suggests a flexible statistical model of open-source data, with six exploratory variables of the macro-level built environment: angular integration, population density, transit stop density, pedestrian street density, retail and entertainment activity density, and building height. The results indicate that audit-based average walkability scores can be effectively estimated, as the regression model can explain about 82% of the variation. Furthermore, the density of retail and entertainment activities was indicated as the strongest correlate of more walking-friendly streetscapes, while some urban policy implications include the promotion of footpath repairs and better-engineered crossings.

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“…Brown y Werner, 2009;Park, Deakin, y Jang, 2013). Por otra parte, y en base a los trabajos internacionales analizados, es frecuente la asociación de la distancia con factores relativos al entorno urbano como la propia tipología de entorno (Seneviratne, Boletín de la Asociación de Geógrafos Españoles, 79, 2472, 1-25 1985), el diseño del mismo (El-Geneidy et al, 2014;O'Sullivan & Morrall, 1996) o los usos del suelo (Aultman-Hall, Roorda, & Baetz, 1997;Moniruzzaman, Páez, Paez, & Páez, 2012). Estos factores pueden hacer que la distancia peatonal varíe, dando lugar, como sugieren Park, Deakin, y Jang (2013), a que en los lugares con una alta calidad del entorno la distancia se incremente, mientras que por el contrario, lugares con una baja calidad del entorno, la distancia peatonal decrezca.…”

Section: Antecedentesunclassified

Evaluando la influencia de la calidad de la distancia peatonal en la cobertura de paradas del metro ligero de Granada (España)

García

Montes

Soria-Lara

2018

BAGE

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Aunque las características del entorno urbano y social tienen una marcada influencia en la distancia peatonal al transporte público, existe una escasa atención a este fenómeno en el contexto de los análisis de accesibilidad. Sin embargo, considerar la calidad de la distancia peatonal en la evaluación de la accesibilidad podría constituir una herramienta útil para conseguir una mayor y mejor integración del transporte público en los entornos urbanos. En este artículo se diseña la herramienta Q-WD: Calidad de la Distancia Peatonal (Quality of Walking Distance) testeándola en el caso de la ciudad de Granada, y en concreto en varios entornos de movilidad vinculados a la línea de metro ligero. Los resultados muestran cómo la cobertura de las paradas se reduce en aquellos casos en los que la calidad peatonal de los entornos de parada es baja, mientras que los entornos de parada con alta calidad peatonal producen una extensión de la cobertura de parada del transporte público. Asimismo, los resultados de la aplicación de la herramienta Q-WD evidencian cómo el recuento total de población servida varía en los entornos peatonales cuando se considera la calidad de la distancia.

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A model-based approach to select case sites for walkability audits

Cited by 42 publications

References 47 publications

One size doesn’t fit all: cross-sectional associations between neighborhood walkability, crime and physical activity depends on age and sex of residents

One size doesn’t fit all: cross-sectional associations between neighborhood walkability, crime and physical activity depends on age and sex of residents

Microscale Walkability Modelling. The Case of Athens City Centre

Evaluando la influencia de la calidad de la distancia peatonal en la cobertura de paradas del metro ligero de Granada (España)

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