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Urban Studies and Planning Commons

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Portland State University

Series

2021

Older people -- Transportation

Articles 1 - 2 of 2

Full-Text Articles in Urban Studies and Planning

Data From: “Developing Strategies To Enhance Mobility And Accessibility For Community-Dwelling Older Adults”, Kate Hyun, Kathy Lee, Caroline Krejci Nov 2021

Data From: “Developing Strategies To Enhance Mobility And Accessibility For Community-Dwelling Older Adults”, Kate Hyun, Kathy Lee, Caroline Krejci

TREC Datasets and Databases

This study administered a survey to 146 lower-income adults in Dallas, TX, aged 55 and older, between February and June 2020. As affordable public transportation options target senior citizens age 65 and older, this study focused on older adults as aged 65 and over. However, we also recruited adults aged 55 to 64 to distinguish how emerging seniors differently perceive or perform transportation activities compared to current older adults. In a partnership with a local organization providing resources and information for older adults and family caregivers located in Dallas, we used snowball sampling by recruiting participants from Foster Grandparent Program …


Developing Strategies To Enhance Mobility And Accessibility For Community-Dwelling Older Adults, Kate Hyun, Kathy Lee, Caroline Krejci, Nilufer Oran Gibson, Troyee Saha Nov 2021

Developing Strategies To Enhance Mobility And Accessibility For Community-Dwelling Older Adults, Kate Hyun, Kathy Lee, Caroline Krejci, Nilufer Oran Gibson, Troyee Saha

TREC Final Reports

Mobility disparities among older adults affect their ability to travel and access services. This project seeks to understand challenges, barriers, and gaps that older adults experience, and develop forms of assistance or educational strategies to fill the varying mobility gaps and meet mobility needs. This study characterizes older adults’ use of existing and potential transportation options, including conventional transit, paratransit, and ride-hailing systems, based on surveys collected from 146 low-income older adults in Dallas, TX. Using the survey data and interview data, we develop two mathematical modeling (a Latent Class Cluster Analysis and agent-based modeling (ABM)) and conduct content analysis …