Exploring the association between urban sprawl and mental health

Garrido‐Cumbrera, Marco; Ruiz, David Gálvez; Braçe, Olta; Lara, Enrique López

doi:10.1016/j.jth.2018.06.006

Cited by 31 publications

(25 citation statements)

References 40 publications

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“…A consequence is that many people with intellectual disabilities (see end note 1) travel less frequently than others (MHF, 2015). Lack of mobility may result in less access to health care, in loneliness and psychological isolation, loss of selfworth, and a sense of entrapment i.e., of "being a prisoner in one's own home" (MHAG, 2011 p.2) that causes stress and may worsen a person's mental health condition (Claypool et al, 2017;Doray and Burke, 2018;Garrido-Cumbrera, Ruiz, Brace and Lara, 2018).…”

Section: Transportation and The Mentally Impairedmentioning

confidence: 99%

Willingness of people with mental health disabilities to travel in driverless vehicles

Bennett

Vijaygopal

Kottász

2019

Journal of Transport & Health

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Section: Transportation and The Mentally Impairedmentioning

confidence: 99%

Willingness of people with mental health disabilities to travel in driverless vehicles

Bennett

Vijaygopal

Kottász

2019

Journal of Transport & Health

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“…Nevertheless, it should be noted that there are significant trade-offs between traffic-based emissions and exposure resulting from urban form, because while sprawl can increase emissions, compactness can increase exposure (Schindler and Caruso 2014). Moreover, compact cities have been found to promote health (Griffin et al 2013, Ewing et al 2014, Garrido-Cumbrera et al 2018, advance social equity (Burton 2003), and facilitate society's upward mobility (Ewing et al 2016) and certain type of social capital (Nguyen 2010). As urban areas are characterized by both concentration of built environment and population, cities have been compact in nature until the wave of suburbanization in the US starting in the middle of the 20th century, followed by the subsequent frenzy of urban sprawl and low density development worldwide.…”

Section: Introductionmentioning

confidence: 99%

Compact and green urban development—towards a framework to assess urban development for a high-density metropolis

Fan

Lee

Ouyang

et al. 2019

Environ. Res. Lett.

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This paper proposes a framework for measuring compactness and urban green accessibility in a highdensity transit-oriented metropolis and uses Taipei City and its surrounding outskirts, New Taipei City, as a case to illustrate the measurement framework. Two indices, urban compactness index (UCI) and urban green accessibility index (UGAI), are developed to illustrate various aspects of a sustainable urban built environment, with UCI including density of residents and commercial activities, land use mix, street connectivity, access to center/subcenters, and access to transit stops, and UGAI measuring access to public urban green spaces. We found that while great spatial variations exist among different parts, our study area has a distinguished polycentric pattern of UCI index with three distinct clusters around the center and sub-centers illustrating higher index values in 2015. When compared to UCI, UGAI has a similar polycentric but more dispersed spatial pattern, as well as linear patterns along river corridors. We found that most areas of medium or high UCI values are located in areas of either planinduced or plan-expanded development. UCI values in areas of plan-expanded development are generally higher than that of areas of plan-induced development. UCI and UGAI are spatially correlated to a certain extent. We found that most centers and one particular subcenter have high UCI and UGAI, moving towards both compactness and good green accessibility. Two subcenters with high UCI and low UGAI, i.e. Banqiao and Yonghe, call for planning to provide green spaces for residents living in these rising subcenters. UCI and UGAI can be applied and used to assess compact and green urban development of other cities and they are particularly useful to dense urban environment of large cities in Europe and Asia.

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“…An increase in travel cost is often associated with sprawling areas, i.e., travel cost increases with sprawl 56 , 57 . Some studies found that increasing sprawl (or commuting cost) either had no association with mental health disorders 58 , 59 or was positively associated with better mental health, by allowing those living in low-density sprawl areas to enjoy proximity to nature 60 , 61 . Some studies also found that shorter distances (decreased travel cost) to the city center positively influence subjective wellbeing 62 , 63 .…”

Section: Resultsmentioning

confidence: 99%

A multilevel scenario based predictive analytics framework to model the community mental health and built environment nexus

Mukherjee

Boamah

Ganguly

et al. 2021

Sci Rep

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The built environment affects mental health outcomes, but this relationship is less studied and understood. This article proposes a novel multi-level scenario-based predictive analytics framework (MSPAF) to explore the complex relationships between community mental health outcomes and the built environment conditions. The MSPAF combines rigorously validated interpretable machine learning algorithms and scenario-based sensitivity analysis to test various hypotheses on how the built environment impacts community mental health outcomes across the largest metropolitan areas in the US. Among other findings, our results suggest that declining socio-economic conditions of the built environment (e.g., poverty, low income, unemployment, decreased access to public health insurance) are significantly associated with increased reported mental health disorders. Similarly, physical conditions of the built environment (e.g., increased housing vacancies and increased travel costs) are significantly associated with increased reported mental health disorders. However, this positive relationship between the physical conditions of the built environment and mental health outcomes does not hold across all the metropolitan areas, suggesting a mixed effect of the built environment’s physical conditions on community mental health. We conclude by highlighting future opportunities of incorporating other variables and datasets into the MSPAF framework to test additional hypotheses on how the built environment impacts community mental health.

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Exploring the association between urban sprawl and mental health

Cited by 31 publications

References 40 publications

Willingness of people with mental health disabilities to travel in driverless vehicles

Willingness of people with mental health disabilities to travel in driverless vehicles

Compact and green urban development—towards a framework to assess urban development for a high-density metropolis

A multilevel scenario based predictive analytics framework to model the community mental health and built environment nexus

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