Accessibility for Whom? Perceptions of Mobility Barriers Across Disability Groups and Implications for Designing Personalized Maps

Research Background and Problem

• Problem or Challenge Identified:
  The authors observed that current mapping tools, such as Google Maps and some commercial analytics services (e.g., Walk Score), fail to adequately meet the needs of individuals using different mobility assistive devices. These users face numerous specific environmental obstacles, such as missing curb ramps, uneven sidewalks, and other major barriers (e.g., obstructive street furniture or overgrown vegetation). While existing research has developed some routing and mapping systems, most focus on wheelchair users, neglecting the diversity of other assistive devices (e.g., canes, walkers, etc.).

• Significance:
  Over 18 million adults in the U.S. report mobility-related health impairments, with nearly 50% using assistive devices. These obstacles not only impact the safety and efficiency of daily movement but also reduce users' confidence and willingness to travel, further limiting social participation. Addressing this issue is urgently needed to enable safer and more controlled navigation.

• Research Motivation and Related Work:
  The authors aim to fill gaps in existing research by expanding the scope to include a broader range of users with different types of assistive devices and comprehensively studying differences in obstacle perception across groups. This study builds on tools like MAGUS, AccessMap, and related crowdsourced sidewalk data initiatives (e.g., Project Sidewalk).

Solution

• Proposed Solution:
  The authors designed a large-scale online survey to study the perceptions of sidewalk obstacles among five different types of assistive device users (canes, walkers, mobility scooters, manual wheelchairs, and electric wheelchairs). The survey presented 52 specific scenarios and asked users to assess their navigability. Additionally, the authors developed two prototype applications: an interactive visualization tool and a customized route planning tool tailored to specific user groups.

• Innovations:
  The innovations of this study include:

  1. Expanding the focus to a broader range of assistive device users, moving beyond traditional research that primarily targets wheelchair users.
  2. Providing data on differences in obstacle perception, enabling the creation of customized maps and navigation tools for diverse users.
  3. Open-sourcing the dataset and analysis code to allow other researchers and developers to advance urban accessibility solutions.

• Implementation Steps and Key Techniques:

  1. Survey Design: The survey was divided into three parts: background information, image-based evaluation of obstacle navigability (including rating and pairwise comparison), and ranking of major sidewalk obstacles.
  2. Image Analysis: Sidewalk obstacle images were collected using the Project Sidewalk framework and grouped by obstacle type and severity.
  3. Data Analysis: Mixed multinomial logistic regression, pairwise comparisons, and quantitative scoring (Q-scores) were used to assess perception differences across groups.
  4. Application Development: Survey data was integrated into an OSMnx-based platform to create customized routing solutions and develop urban accessibility maps.

Research Outcomes

• Specific Findings:

  1. The survey results revealed differences in how users of various assistive devices perceive sidewalk obstacles. For example, cane users were more likely to consider obstacles navigable, while mobility scooter users were more sensitive to moderate and severe obstacles.
  2. The development of two prototype tools demonstrated how data could be leveraged to provide precise urban maps and route planning for different user groups.

• Advantages:
  Compared to existing mapping tools, this approach:

  1. Offers highly personalized route recommendations that address the needs of diverse users.
  2. Broadens the focus beyond a single user type (e.g., wheelchair users) to include other groups such as walker and cane users.

• Experimental or Evaluation Results:
  The survey attracted 190 valid participants and collected a substantial amount of data in a short time. Rankings of obstacle types and pairwise comparison results revealed several key differences. For example, missing curb ramps were particularly challenging for wheelchair and mobility scooter users, while cane users were generally more confident in navigating low-level obstacles.

• Limitations and Future Directions:
  Limitations include:

  1. The study primarily focused on urban sidewalk environments in North America, without considering road infrastructure in other countries or rural areas.
  2. Image evaluations cannot fully simulate physical interactions in real-world scenarios, requiring follow-up field studies to supplement qualitative insights.
     Future directions:
  3. Expand the participant pool to include individuals with visual impairments and other types of multiple disabilities.
  4. Incorporate additional data sources (e.g., road width, terrain, weather conditions) and explore advanced modeling techniques such as fuzzy logic and analytic hierarchy process to improve routing accuracy.
  5. Apply the research findings to inform government policymaking, providing theoretical support for prioritizing obstacle mitigation.

Conclusion:

This study systematically analyzed the obstacle perceptions of users with different types of assistive devices and provided critical data to improve urban accessibility. By showcasing open-source data and tools, the research lays a foundation for future personalized navigation systems and policymaking.