Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal International Journal on Advanced Technology, Engineering, and Information System (IJATEIS)
Martha Leni Siregar
Department of Civil Engineering, Faculty of Engineering, Universitas Indonesia, Indonesia
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Spatial Analysis of Factors Affecting Traffic Accident Frequency in Jakarta Using a Geographically Weighted Regression Approach Gamas Gagah Pangestu; Sutanto Soehodo; Martha Leni Siregar
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 5 No. 3 (2026): AUGUST
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i3.2240

Abstract

Traffic accidents are a complex issue influenced by road network characteristics, demographics, land use, and traffic conditions. This study analyzes the effects of these factors on accident frequency in DKI Jakarta and examines their spatial variation at the sub-district level. Using secondary data on accidents, road networks, population, land use, traffic, and regional activity, analysis was conducted using global regression (Ordinary Least Squares/OLS) and spatial regression (Geographically Weighted Regression/GWR), considering variations by severity, time period, and lighting. Results show that all factor groups significantly influence accident frequency, with effect magnitudes varying across areas. The GWR model captures local variations better than OLS, reflected by higher R² values in most conditions, while OLS remains effective for explaining global patterns. Findings indicate accident variations are more influenced by differences in the strength of factor effects across regions rather than the types of factors themselves, and are also affected by traffic operational conditions. This confirms that traffic accident characteristics are inherently spatial and contextual. The study highlights the importance of area-specific transportation safety planning, with tailored policy approaches to enhance intervention effectiveness in reducing urban accident rates.
Evaluating the Effect of Stop Line Visibility on Driver Compliance at Urban Intersections in Jakarta Rian Hendris Saputra; Sutanto Soehodho; Martha Leni Siregar
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 5 No. 2 (2026): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i2.2234

Abstract

Urban intersections are critical nodes in city traffic systems, where road marking clarity is vital in guiding driver behavior and reducing violations. In rapidly growing cities such as Jakarta, the degradation of road markings, particularly stop line markings, poses a significant challenge to traffic safety and compliance. This study examines the influence of stop line marking clarity on road user compliance at urban intersections in Jakarta. The research applies a mixed-method approach that integrates field observation, speed profile analysis, Difference-in-Differences (DiD), and multiple linear regression to provide a comprehensive understanding of driver behavior. Two intersections representing different marking conditions, namely clear and faded markings, were selected as study locations. The DiD analysis shows a clear difference in violation behavior, where the intersection with clear markings has a violation rate of 22.0%, while the intersection with faded markings reaches 37.7%, resulting in a difference of 15.6%. The speed profile analysis indicates that vehicles at the intersection with faded markings maintain higher speeds at all observed distances. The largest difference occurs at 20 meters, with a speed gap of 4.74 km/h. This finding suggests that faded markings lead to delayed deceleration, while clear markings encourage earlier and more gradual speed reduction. The multiple linear regression proved that perceived marking clarity has a significant effect on violation behavior with a coefficient of 0.112 and a significance value of 0.029. The model explains 50.4% of the variation in violation behavior. Among the variables, ETLE awareness shows the strongest influence, followed by improved marking perception.
Co-Authors Gamas Gagah Pangestu Rian Hendris Saputra Sutanto Soehodho Sutanto Soehodo