GIS and Street View Integration: Analyzing Spatial Factors of Motorcycle Taxi Stands in Bangkok

Motorcycle taxis play a vital role in addressing lastmile connectivity challenges in Bangkok’s complex urban transportation system. However, the factors influencing the spatial distribution of these informal transport services remain poorly understood. Kernel Density Estimation (KDE) was employed to examine the spatial distribution patterns, revealing two primary high-density clusters of stands in southern Chatuchak. Proximity analysis quantified relationships between the 208 stand locations and urban infrastructure factors, finding strategic positioning near mass transit stations (avg. 1.79 km), on sidewalks (70.5%), and in mixed-use areas with predominantly residential (33.19%) and commercial (29.32%) land use within a 100m radius. A decision tree model identified residential area proportion (importance 0.3423) and distance from metro stations (0.2935) as key predictors of stand presence, but achieved moderate accuracy (52.38%). The results highlight the close integration of motorcycle taxi stands within the urban fabric and their role in enhancing accessibility.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/icsec62781.2024.10770639
Citations
1
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.68
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article

GIS and Street View Integration: Analyzing Spatial Factors of Motorcycle Taxi Stands in Bangkok

Wirat Rattanapitak, Phatthanan Sirikitsathian
1 citations
Urban Transport and Accessibility
0.68
article

GIS and Street View Integration: Analyzing Spatial Factors of Motorcycle Taxi Stands in Bangkok

Wirat Rattanapitak, Phatthanan Sirikitsathian
article en
1 citations

Abstract

Motorcycle taxis play a vital role in addressing lastmile connectivity challenges in Bangkok’s complex urban transportation system. However, the factors influencing the spatial distribution of these informal transport services remain poorly understood. Kernel Density Estimation (KDE) was employed to examine the spatial distribution patterns, revealing two primary high-density clusters of stands in southern Chatuchak. Proximity analysis quantified relationships between the 208 stand locations and urban infrastructure factors, finding strategic positioning near mass transit stations (avg. 1.79 km), on sidewalks (70.5%), and in mixed-use areas with predominantly residential (33.19%) and commercial (29.32%) land use within a 100m radius. A decision tree model identified residential area proportion (importance 0.3423) and distance from metro stations (0.2935) as key predictors of stand presence, but achieved moderate accuracy (52.38%). The results highlight the close integration of motorcycle taxi stands within the urban fabric and their role in enhancing accessibility.

Phitsanulok University (TH), King Mongkut's Institute of Technology Ladkrabang (TH)
Sustainable cities and communities
Openalex Percentile: Top 20%
Urban Transport and Accessibility
0.68
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