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The Influence of Transportation Accessibility on Traffic Volumes in South Korea

An Extreme Gradient Boosting Approach

Bibliographic Data

ID13112997
AuthorsSangwan Lee (0000-0001-8039-6655), Jicheol Yang, Kuk Cho (0000-0002-5463-9649), Dooyong Cho (0000-0003-1884-9400, Chungnam National University, corresponding author)
Year2023
Volume7
Issue3
Pages91-91
Publication date2023-08-25
Open AccessYes
TypeARTICLE
VenueUrban Science (JOURNAL)
Journal identifiersISSN: 2413-8851 • E-ISSN: 2413-8851
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/urbansci7030091
OpenAlexW4386168849
LanguageEN
Citations received1
References cited23

This study explored how transportation accessibility and traffic volumes for automobiles, buses, and trucks are related. This study employed machine learning techniques, specifically the extreme gradient boosting decision tree model (XGB) and Shapley Values (SHAP), with national data sources in South Korea collected from the Korea Transport Institute, Statistics Korea, and National Spatial Data Infrastructure Portal. Several key findings of feature importance and plots in non-linear relationships are as follows: First, accessibility indicators exhibited around 5 to 10% of feature importance except for Mart (around 50%). Second, better accessibility to public transportation infrastructures, such as bus stops and transit stations, was associated with higher annual average daily traffic (AADT), particularly in metropolitan areas including Seoul and Busan. Third, access to large-scale markets may have unintended effects on traffic volumes for both vehicles and automobiles. Fourth, it was shown that lower rates of AADT were associated with higher accessibility to elementary schools for all three modes of transportation. This study contributes to (1) understanding complex relationships between the variables, (2) emphasizing the role of transportation accessibility in transportation plans and policies, and (3) offering relevant policy implications

Business · Geography · Gradient boosting · Metropolitan area · Public transport · Random forest · Transport engineering · Truck · Computer Science · Engineering · Transportation Planning and Optimization · Urban and Freight Transport Logistics · Urban Transport and Accessibility

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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