Transit Bus Mirror Configuration Pilot Project, Final Report

Polzin, Steven E; Choi, Tony Jaehyun

doi:10.21949/1520705

Cited by 2 publications

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“…In recent years, growing concern over the myriad climate-related, environmental, health and social externalities from automobile-centred transportation systems has foregrounded the need for transportation planners to better understand (and plan for) non-auto modes (Woodcock et al 2009; De Nazelle et al 2011; Neves and Brand 2019; Lee et al 2017; Lovasi et al 2009; Vojnovic and Darden 2013; Frank et al, 2006; Frank et al 2004; Wang et al 2016; Yang et al 2018; Lindstrom, 2008; De Hartog et al 2010; Mueller et al 2015). Overlaid on these issues are the even more recent shifts in commuting and migration patterns related to the pandemic, including apparent increases in remote working, migration from dense central cities to more sprawling, auto-oriented ones and attendant declines in public transit ridership (Polzin and Choi, 2021).…”

Section: Introductionmentioning

confidence: 99%

A method to derive small area estimates of linked commuting trips by mode from open source LODES and ACS data

Credit

Arnao

2022

Environment and Planning B: Urban Analytics and City Science

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This paper describes a fully customizable open source method to create linked origin-destination data on commuting flows by mode at the Census tract scale by combining LODES and ACS data from the US Census Bureau. With additional work, the method could be scaled to the entire US (with a small number of exceptions) for every year from 2002 to 2019. For demonstration purposes, the paper applies this method to 2015 commuting flows in Cook County, Illinois. At an aggregate scale, the results of this application show that commuting by all modes is dominated by travel to large regional employment centres. However, the pattern is more localised for the walking mode, and focused along corridors of mode-specific infrastructure investment for the cycling and transit modes, as might be expected. The auto and work from home modes demonstrate the most distributed pattern of travel, revealing more instances of commuting to regional sub-centres than the other modes.

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Section: Introductionmentioning

confidence: 99%

A method to derive small area estimates of linked commuting trips by mode from open source LODES and ACS data

Credit

Arnao

2022

Environment and Planning B: Urban Analytics and City Science

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Detrimental Effects of COVID-19 Measures on Mental Health and Social-Economic Disparities

Wang¹,

Sanchuli²

2023

International Journal of Mental Health Promotion

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The COVID-19 pandemic has struck nations worldwide, pushing worldwide health and socioeconomic systems to extreme limits. Various factors, such as drastic alterations in public environments, prolonged quarantine, revenue loss, and anxiety of disease contraction, have caused mental turmoil. Although there was a need to cope with an excess of psychological strain among the public, post-COVID patients, and those with a previously diagnosed psychiatric condition, mental health programs faced a substantial decline in services, mirroring the dramatic rise in psychological issues. Interestingly, certain coping strategies play protective or deleterious effects on mental health outcomes. Moreover, social media exposure has played a double-edged role in the mental health of the public during the pandemic, leaving grounds for further debates. Protean cultural themes have taken center stage in the discussion on social resilience and compliance to COVID-19 measures, driving their impact through certain work ethics, social capital, and public attitudes in different societies. On the other hand, exceedingly rising poverty rates cemented the deleterious economic impact of the pandemic. Attention has been called to the racial implications of the pandemic, driving millions of individuals with low socioeconomic position (SEP) and belonging to minority groups out of the paid workforce. Interestingly, we turn attention to an array of elements implicated in this dramatic effect, such as public transport, living arrangements, and health insurance coverage among these vulnerable groups. We attempt to address the mechanisms COVID-19 channeled its mental health and socioeconomic impacts by explaining the risk factors and pave the way for stronger crisis management in the future by evaluating the socioeconomic and psychological effects in stark detail.

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Transit Bus Mirror Configuration Pilot Project, Final Report

Cited by 2 publications

References 0 publications

A method to derive small area estimates of linked commuting trips by mode from open source LODES and ACS data

A method to derive small area estimates of linked commuting trips by mode from open source LODES and ACS data

Detrimental Effects of COVID-19 Measures on Mental Health and Social-Economic Disparities

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