Transit and Bikeshare Connectivity in Detroit: New Insights on Socioeconomic and Infrastructure Factors Impacting Perceived Quality of Service

Active transportation systems are critical to equitable urban mobility, particularly in Detroit, where access to jobs, education, and healthcare remain uneven. This study evaluates user satisfaction with transit and bikeshare coverage across the Detroit Metropolitan Area through a survey of 1042 individuals, with 333 responses retained for analysis. Using fixed and random parameter ordered probit models, we find that lower-income and female respondents are significantly more likely to report inadequate service coverage. Perceived unfamiliarity with routes or station locations, as well as longer travel times, also contribute to dissatisfaction. Random parameter models reveal substantial heterogeneity in responses, underscoring the need for more nuanced, equity-focused planning. These findings offer data-driven insights to guide future investments in multimodal connectivity and active transportation infrastructure.

Authors

Publication Details

Journal
Journal of Urban Mobility
Published
2025-04-23
DOI
https://doi.org/10.1016/j.urbmob.2025.100120
Citations
1
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
2.18

Funders

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article

Transit and Bikeshare Connectivity in Detroit: New Insights on Socioeconomic and Infrastructure Factors Impacting Perceived Quality of Service

Steven Lavrenz, Anahita Zahertar
1 citations
Journal of Urban Mobility
Transportation Planning and Optimization
2.18
article

Transit and Bikeshare Connectivity in Detroit: New Insights on Socioeconomic and Infrastructure Factors Impacting Perceived Quality of Service

Steven Lavrenz, Anahita Zahertar
article en
1 citations

Abstract

Active transportation systems are critical to equitable urban mobility, particularly in Detroit, where access to jobs, education, and healthcare remain uneven. This study evaluates user satisfaction with transit and bikeshare coverage across the Detroit Metropolitan Area through a survey of 1042 individuals, with 333 responses retained for analysis. Using fixed and random parameter ordered probit models, we find that lower-income and female respondents are significantly more likely to report inadequate service coverage. Perceived unfamiliarity with routes or station locations, as well as longer travel times, also contribute to dissatisfaction. Random parameter models reveal substantial heterogeneity in responses, underscoring the need for more nuanced, equity-focused planning. These findings offer data-driven insights to guide future investments in multimodal connectivity and active transportation infrastructure.

Journal of Urban MobilityVol. 7
Wayne State University
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Transportation Planning and Optimization
2.18
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