An investigation of the attributes of walkable environments from the perspective of seniors in Montreal

Moniruzzaman, Mohammad; Páez, Antonio

doi:10.1016/j.jtrangeo.2015.12.001

Cited by 50 publications

(20 citation statements)

References 75 publications

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“…However, despite a growing interest, most studies tend to involve a priori assumed relationships between the built environment and walking, with the application of statistical regression models (e.g. negative binomial regression (Cao et al, 2010), logistic regression (Barnes et al, 2016), joint discrete-continuous model (Moniruzzaman and Páez, 2016), and structural equation models (Leung et al, 2018)). In fact, their relationship may exist in a complicated non-linear manner.…”

Section: Introductionmentioning

confidence: 99%

Examining non-linear built environment effects on elderly’s walking: A random forest approach

Cheng

Vos

Zhao

et al. 2020

Transportation Research Part D: Transport and Environment

173

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Previous studies often assume a pre-specified relationship between walking and the built environment. Using data from 702 older adults in Nanjing (China), this study employs a random forest method to scrutinise the refined associations between the built environment and walking time among older adults, while controlling for socio-demographics. Results show that all the analysed built environment attributes tend to impose salient non-linear and threshold effects on walking time. For example, population density and land use mix only increase older adults' walking at certain levels. Ultra-densely populated areas and excessively mixed land uses may even lead to a decline in walking. Built environment interventions would consequently only be effective in certain ranges. By quantifying the relative importance of built environment attributes, we further indicate the hierarchy of intervention priorities. These results offer nuanced and appropriate guidance for building age-friendly neighbourhoods.

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Section: Introductionmentioning

confidence: 99%

Examining non-linear built environment effects on elderly’s walking: A random forest approach

Cheng

Vos

Zhao

et al. 2020

Transportation Research Part D: Transport and Environment

173

View full text Add to dashboard Cite

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“…The majority of living, social, and entertainment needs of older adults can be satisfied in the vicinity of their homes. Different facilities have become physically or spatially adjacent because of the high level of land use mixture [ 10 ], which makes walking or cycling become attractive and feasible travel options, especially for older adults [ 10 , 57 , 83 ].…”

Section: Resultsmentioning

confidence: 99%

Non-Linear Effects of the Built Environment and Social Environment on Bus Use among Older Adults in China: An Application of the XGBoost Model

Wang

Zhao

Liu

et al. 2021

IJERPH

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Global aging has raised increasing concerns on the health and well-being of older adults. Public transport is a viable option to improve the mobility and quality of life among older adults. However, policies that promote the public transport use among older adults are rare. This study utilizes the eXtreme Gradient Boosting (XGBoost) decision tree to explore the non-linear associations of the built and social environment with bus use among older adults in China. The bus use of older adults was obtained from the Zhongshan Household Travel Survey (ZHTS) in 2012. Results show that non-linear relationships exist among all built environment and social environment characteristics. Within certain thresholds, the percentage of green space land use, land use mixture, bus-stop density, and dwelling unit density are positively related to bus use among older adults. Likewise, one social environment variable, the proportion of older adults in a neighborhood, is the key social environment variable. Furthermore, the dwelling unit density and proportion of older adults appear to have an inverse U-shaped relationship. Additionally, age, ownership of motorcycles, and distance from home to the nearest bus stop also show non-linearity. The findings presented in this paper facilitate effective planning interventions to promote bus use among older adults.

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“…Other studies, such as those set out below, have looked at walkability in a wider sense and have focused on all factors that affect the walkability of an area and the perception of a pedestrian environment by users (Galanis and Eliou, 2011;Shumi et al, 2015;Christiansen et al, 2014;Leslie et al, 2005;Ruiz-Padillo et al, 2018). Several researchers have developed tools and methodologies that can reproduce the choices that pedestrians face during their travel from an origin to a destination (Kelly et al, 2011;Ariffin and Zahari, 2013;Moniruzzaman and Pàez, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Pedestrian needs and the manner in which an urban environment is able to respond to these needs depend on several factors (Amoroso et al, 2012), such as the lifestyle factors (age, gender, physical and mental abilities, level of education, state of employment, car ownership, and place of residence), climate and landscape (temperature, rain, humidity, wind, obstacles, and slope), land use (points of interest, street furniture, location of schools, and workplaces), and the characteristics of a transportation system (access to public transport, cost, and inter-modality). For these reasons, some audits and questionnaires have been applied to determine what influences walkability factors have on the perception of a pedestrian environment and the propensity to walk based on specific categories of pedestrians, namely school-aged children (Christiansen et al, 2014), elderly people (Moniruzzaman and Pàez, 2016), and people with physical disabilities. Aghaabbasi et al (2018) identified some critical issues of the developed auditing tools.…”

Section: Introductionmentioning

confidence: 99%

A GIS-based method for evaluating the walkability of a pedestrian environment and prioritised investments

D’Orso

Migliore

2020

Journal of Transport Geography

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Despite the large investments made in the construction and modernisation of railway infrastructure, poor quality pedestrian routes may discourage users from using public transport. In fact, very little attention is generally paid to pedestrian mobility. Therefore, a method for evaluating the quality of pedestrian paths and the accessibility to railway stations has been developed. This method considers the main factors influencing the walkability of an urban area and makes it possible to establish the priorities for intervention, i.e. to identify the arcs of a pedestrian network that require prioritised action. The methodology is a decision support tool that can be used by policymakers and is developed in a GIS environment. Three railway stations in Palermo and its surrounding areas were chosen as a case study.

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An investigation of the attributes of walkable environments from the perspective of seniors in Montreal

Cited by 50 publications

References 75 publications

Examining non-linear built environment effects on elderly’s walking: A random forest approach

Examining non-linear built environment effects on elderly’s walking: A random forest approach

Non-Linear Effects of the Built Environment and Social Environment on Bus Use among Older Adults in China: An Application of the XGBoost Model

A GIS-based method for evaluating the walkability of a pedestrian environment and prioritised investments

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