Spatio-Temporal Analysis of Road Accident on Highway 2 between Nakhon Ratchasima Intersection and Joho Intersection

This study analyzes the spatio-temporal distribution of road accidents along Highway No.2 between the Nakhon Ratchasima and Joho Intersections by integrating Geographic Information Systems (GIS) with spatial and temporal analysis techniques. This study used road accident data from 2019 to 2021 to evaluate accident frequency through mean center analysis and kernel density estimation. Additionally, spatial cluster analyses using Moran's I and Getis-Ord Gi* were employed to identify statistically significant accident clusters. Results showed that accidents were concentrated primarily at intersections and road curves. Clustering analysis revealed a random distribution pattern over the three years, while hotspot analysis at 99%, 95%, and 90% confidence levels identified significant hotspots at intersections and curves, with cold spots distributed along other road sections. The findings provide essential insights for developing preventive measures to reduce road accidents in Nakhon Ratchasima Province.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/gis-ideas63212.2024.10990886
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatio-Temporal Analysis of Road Accident on Highway 2 between Nakhon Ratchasima Intersection and Joho Intersection

Athiwat Phinyoyang, Tinn Thirakultomorn, Wilawan Prasomsup, Kankaew Kanya et al.
Traffic and Road Safety
article

Spatio-Temporal Analysis of Road Accident on Highway 2 between Nakhon Ratchasima Intersection and Joho Intersection

Athiwat Phinyoyang, Tinn Thirakultomorn, Wilawan Prasomsup, Kankaew Kanya, Bantita Jaemklang, Buachomphu Phaensanthia
article en

Abstract

This study analyzes the spatio-temporal distribution of road accidents along Highway No.2 between the Nakhon Ratchasima and Joho Intersections by integrating Geographic Information Systems (GIS) with spatial and temporal analysis techniques. This study used road accident data from 2019 to 2021 to evaluate accident frequency through mean center analysis and kernel density estimation. Additionally, spatial cluster analyses using Moran's I and Getis-Ord Gi* were employed to identify statistically significant accident clusters. Results showed that accidents were concentrated primarily at intersections and road curves. Clustering analysis revealed a random distribution pattern over the three years, while hotspot analysis at 99%, 95%, and 90% confidence levels identified significant hotspots at intersections and curves, with cold spots distributed along other road sections. The findings provide essential insights for developing preventive measures to reduce road accidents in Nakhon Ratchasima Province.

Rajamangala University of Technology Isan (TH)
Openalex Percentile: Top 64%
Traffic and Road Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Spatio-Temporal Analysis of Road Accident on Highway 2 between Nakhon Ratchasima Intersection and Joho Intersection — Athiwat Phinyoyang, Tinn Thirakultomorn, et al. · (2024) | TGRS Research Map | TGRS