Adaptive Bike Share: Expanding Bike Share to People with Disabilities and Older Adults

Author(s):  
John MacArthur ◽  
Nathan McNeil ◽  
Austin Cummings ◽  
Joseph Broach

Bike share systems are expanding efforts to be more equitable and accessible to everyone by offering adaptive bicycle options to people who might otherwise be unable to ride. These systems tend to range from the inclusion of electric bikes and standard trikes into the existing systems to offering a more full range of adaptive bicycle options for use at rental location. Surveys of residents living in several low-income communities of color ( n = 1,885) are used to explore the potential need for adaptive bike share options in urban locations. A national survey of cities and bike share operators ( n = 70) is used to document the prevalence and basic models of adaptive bike share programming currently in place. Interviews conducted with bike share representatives in select cities with adaptive bike share programs provide context and details on how specific programs operate. Finally, interviews with adaptive bike share participants ( n = 5) in Portland, Oregon, help to illuminate users’ experiences, including the perceived value and potential improvements for adaptive bike share. This opportunistic combination of data sources indicated that there is an underserved market of people who do not feel they can use existing bike share systems because of some type of physical limitation, but that reaching and serving those people presents substantial hurdles. Current bike share systems are slowly exploring the right way to include accessible options but are challenged by cost, resources, bicycle types, program implementation, and infrastructure.

2020 ◽  
pp. 088626052091365
Author(s):  
Katherine J. Holzer ◽  
Millan A. AbiNader ◽  
Michael G. Vaughn ◽  
Christopher P. Salas-Wright ◽  
Sehun Oh

Studies on criminal behaviors largely focus on youth and younger adults. While criminal engagement declines with age, the aging population and significant costs associated with older offenders warrant their increased clinical and research attention. The present study utilizes data from the 2002 to 2017 National Survey on Drug Use and Health to estimate the prevalence and explore the sociodemographic and psychosocial correlates of criminal behavior in adults aged 50 years and older. The overall prevalence of older adults engaging in criminal behaviors during this time was approximately 1.20%. There was no significant difference in crime involvement between adults aged 50 to 64 years and 65 years and older. Older individuals who committed crimes were more likely to be male and Black and earning low income. Criminality was also associated with use of illicit substances and depression as well as receipt of mental health treatment.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 708-708
Author(s):  
Muhammad Qureshi ◽  
Atiya Mahmood ◽  
Ghazaleh Akbarnejad ◽  
Rahil Adeli ◽  
Dana Sharon

Abstract Older adults living in rental housing with limited income are at-risk for experiencing life-course disruptions, including social isolation, loneliness and homelessness. To address these needs, one Vancouver-based affordable housing provider for older adults has implemented community development initiatives (CDIs), including resident-led community gardens, workshops, and social events. Based on data from three focus groups, resulting in a total of fifteen participants, this study explored the efficacy of five different CDIs in supporting residents’ social connection and sense of community. Findings revealed that CDIs contribute to increased social engagement and inclusion of older adults living in affordable rental housing. In particular, resident-led community gardens were identified as the most impactful CDI in supporting both social engagement and inclusion, with the added benefit of addressing resident’s food insecurity. We discuss how CDIs can be implemented in various housing settings for low-income older adults as an effective method of supporting aging-in-the-right place. Part of a symposium sponsored by the Environmental Gerontology Interest Group.


2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Chairida Yunita Putri ◽  
Sirojuzilam Sirojuzilam ◽  
Rujiman Rujiman

<p class="Abstrak"><span lang="SV">Slum is a general impression or picture of attitudes and low behavior seen from the standard of living and middle class income. Communities that live in slums economically are generally classified as poor and low-income groups, which are often the reason for the degradation of discipline and disorder in various social order. This study aims to investigate and determine the right location for Family Hope Program (PKH) implementation so program implementation can be more targeted and targeted and able to reduce and overcome the problem of slums in Tebing Tinggi City, North Sumatra province. The method used is to use spatial analysis with a Geographic Information System (GIS) and 5 indicators data from TNP2K. These indicators are combined and modeled spatially using 3 class locations namely Inaccurate, Less Accurate and Precisely Accurate. The results of spatial analysis and modeling are the location of Inaccurate (Tebing Tinggi Kota sub-district), Less Accurate (Padang Hilir and Padang Hulu sub-district) and Precisely Accurate (Bajenis and Rambutan sub-district). The resulting spatial model was validated with satellite photos from Google Earth and photos of field visits using triangulation validation techniques</span></p>


2010 ◽  
Author(s):  
Mary E. Steers ◽  
Allison A. Jay ◽  
Sarah L. Anderson ◽  
Kaitlyn Eller ◽  
Leilani Feliciano

2020 ◽  
Author(s):  
Zhibin Jiang ◽  
Fan Yang ◽  
Bu Zhong ◽  
Xuebing Qin

BACKGROUND The Covid-19 pandemic had turned the world upside down, but not much is known about how people’s empathy might be affected by the pandemic. OBJECTIVE This study examined 1) how empathy towards others might be influenced by the social support people obtained by using social media; and 2) how the individual demographics (e.g., age, income) may affect empathy. METHODS A national survey (N = 943) was conducted in China in February 2020, in which the participants read three real scenarios about low-income urban workers (Scenario I), small business owners in cities (Scenario II), and farmers in rural areas (Scenario III) who underwent hardship due to COVID-19. After exposure to others’ difficulties in the scenarios, the participants’ empathy and anxiety levels were measured. We also measured the social support they had by using social media. RESULTS Results show that social support not only positively impacted empathy, β = .30, P < .001 for Scenario I, β = .30, P < .001 for Scenario II, and β = .29, P < .001 for Scenario III, but also interacted with anxiety in influencing the degree to which participants could maintain empathy towards others, β = .08, P = .010 for Scenario I, and β = .07, P = .033 for scenario II. Age negatively predicted empathy for Scenario I, β = -.08, P = .018 and Scenario III, β = -.08, P = .009, but not for Scenario II, β = -.03, P = .40. Income levels – low, medium, high – positively predicted empathy for Scenario III, F (2, 940) = 8.10, P < .001, but not for Scenario I, F (2, 940) = 2.14, P = .12, or Scenario II, F (2, 940) = 2.93, P = .06. Participants living in big cities expressed greater empathy towards others for Scenario III, F (2, 940) = 4.03, P =.018, but not for Scenario I, F (2, 940) = .81, P = .45, or Scenario II, F (2, 940) = 1.46, P =.23. CONCLUSIONS This study contributes to the literature by discovering the critical role empathy plays in people’s affective response to others during the pandemic. Anxiety did not decrease empathy. However, those gaining more social support on social media showed more empathy for others. Those who resided in cities with higher income levels were more empathetic during the COVID-19 outbreak. This study reveals that the social support people obtained helped maintain empathy to others, making them resilient in challenging times.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 910-911
Author(s):  
Matthew Yau ◽  
Christine Sheppard ◽  
Jocelyn Charles ◽  
Andrea Austen ◽  
Sander Hitzig

Abstract Community support services are an integral component of aging in place. In social housing, older adult tenants struggle to access these services due to the siloed nature of housing and health services. This study aims to describe the relationship between community support services and social housing for older adults and examine ways to optimize delivery. Data on government-funded community support services delivered to 74 seniors’ social housing buildings in Toronto, Ontario was analyzed. Neighbourhood profile data for each building was also collected, and correlational analyses were used to examine the link between neighbourhood characteristics and service delivery. Fifty-six community agencies provided 5,976 units of services across 17 service categories, most commonly mental health supports, case management and congregate dining. On average, each building was supported by nine agencies that provided 80 units of service across 10 service categories. Buildings in neighbourhoods with a higher proportion of low-income older adults had more agencies providing on-site services (r = .275, p &lt; .05), while those in neighbourhoods with more immigrants (r = -.417, p &lt; .01), non-English speakers (r = -.325, p &lt; .01), and visible minorities (r = -.381, p &lt; .01) received fewer services. Findings point to a lack of coordination between service providers, with multiple agencies offering duplicative services within the same building. Vulnerable seniors from equity-seeking groups, including those who do not speak English and recent immigrants, may be excluded from many services, and future service delivery for seniors should strive to address disparities in availability and access.


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