TRB Pubsindex
Text Size:
x

« Prev Next »

Return to Results | New Search

Bookmark and Share

Title:

Exploring the Relationship between Human Walking Trajectories and Physical-Visual Environmental: An Application of Artificial Intelligence and Spatial Analysis

Accession Number:

01764135

Record Type:

Component

Abstract:

Active transportation, especially walking, plays a vital role in ensuring a healthy and livable community. Walking, as a type of physical activity, helps in reducing the risk of health-related issues. Since the surrounding built environment around the walking site impacts walking experience, there is a need to investigate the influence of the physical and visual environmental attributes on pedestrian walking activity. In this study, the authors investigated the connection between human walking activities and surrounding physical and visual environment at a street level by applying artificial intelligence and spatial statistical analysis. A survey was initiated to collect a large amount of human trajectory data from Kalamazoo, Michigan through a mobile application developed by the authors' research team. Google Street View (GSV) images were obtained to objectively assess the relationship between human trajectory data and visual environmental attributes. Statistical analysis results showed human walking activities were positively correlated with surrounding visual environmental attributes such as building enclosure, street light/pole, traffic sign and billboard, street greenery, and the enclosure of the sky view factor. In addition, the authors computed the visual environmental score (VES) along the sidewalks to assess the effect of visual environmental attributes on pedestrian walking experiences. The result showed that the VES index along the sidewalk segments varied by the purpose of pedestrian trip, but the VES index was positively correlated with the number of pedestrian trips.

Supplemental Notes:

This paper was sponsored by TRB committee ACH10 Standing Committee on Pedestrians.

Report/Paper Numbers:

TRBAM-21-02542

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Hasan, Md Mehedi
Oh, Jun-Seok
Kwigizile, Valerian

Pagination:

21p

Publication Date:

2021

Conference:

Transportation Research Board 100th Annual Meeting

Location: Washington DC, United States
Date: 2021-1-5 to 2021-1-29
Sponsors: Transportation Research Board; Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Identifier Terms:

Google Street View

Geographic Terms:

Kalamazoo (Michigan)

Subject Areas:

Data and Information Technology; Operations and Traffic Management; Pedestrians and Bicyclists

Source Data:

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-02542

Files:

TRIS, TRB, ATRI

Created Date:

Dec 23 2020 11:20AM