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All Journal Civil Engineering Journal
Sajjakaj Jomnonkwao
School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000,
Civil Engineering, Building, Construction & Architecture

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XGBoost-SHAP and Unobserved Heterogeneity Modelling of Temporal Multivehicle Truck-Involved Crash Severity Patterns Wimon Laphrom; Chamroeun Se; Thanapong Champahom; Sajjakaj Jomnonkwao; Warit Wipulanusatd; Thaned Satiennam; Vatanavongs Ratanavaraha
Civil Engineering Journal Vol 10, No 6 (2024): June
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-06-011

Abstract

This paper aims to address the critical issue of multivehicle truck crashes in developing regions, with a focus on Thailand, by analyzing the factors that influence injury severity and comparing the effectiveness of predictive models. Utilizing advanced random parameters and the XGBoost machine learning algorithm, we conducted a comprehensive analysis of injury severity factors in multivehicle truck-involved accidents, contrasting weekdays and weekends. Our findings reveal that the XGBoost model significantly outperforms the heterogeneous logit model in predicting crash severity outcomes, demonstrating superior accuracy, sensitivity, specificity, precision, F1 score, and area under the curve (AUC) in both model training and testing phases. Key risk factors identified include motorcycle involvement, head-on collisions, and crashes occurring during late night/early morning hours, with environmental elements like road lane numbers and weekend hours also playing a significant role. The study introduces XGBoost as a novel and improved method for truck safety analysis, capable of capturing the complex interactions within multivehicle crash data and offering actionable insights for targeted interventions to reduce crash severity. By highlighting specific risk factors and the effectiveness of XGBoost, this research contributes to the development of data-driven strategies for enhancing truck safety in developing countries. Doi: 10.28991/CEJ-2024-010-06-011 Full Text: PDF
Measurement Model for Determining the Disparity Factors of Intercity Railway Transportation Kestsirin Theerathitichaipa; Panuwat Wisutwattanasak; Chinnakrit Banyong; Manlika Seefong; Sajjakaj Jomnonkwao; Thanapong Champahom; Vatanavongs Ratanavaraha; Rattanaporn Kasemsri
Civil Engineering Journal Vol 10, No 3 (2024): March
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-03-01

Abstract

Countries that are still developing experience significant disparities in access to railway services, as these nations also grapple with societal inequality issues that remain unaddressed. In developed countries, railway transportation systems serve as the primary mode of transportation for both passengers and goods. However, in recent years, studies on disparities in developed countries have increased, while literature concerning developing countries remains scarce. Therefore, this study takes place in Thailand, a developing country facing significant population disparities. The objective is to examine factors contributing to these disparities in access to railway transportation systems across cities, using Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) to identify user disparities. The sample group comprises 1,252 randomly selected railway users from various regions in Thailand, obtained through Stratified Random Sampling. The results reveal seven dimensions of disparities: cultural, spatial, societal, political, knowledge-based, economic, and environmental. The CFA results also highlight cultural disparities as a significant factor in explaining access disparities among railway users. These findings can inform relevant organizations, aiding them in better understanding the actual needs of railway users and aligning railway development plans accordingly. Ultimately, this contributes to policy development aimed at reducing access disparities and fostering a more equitable society. Doi: 10.28991/CEJ-2024-010-03-01 Full Text: PDF
Co-Authors Chamroeun Se Chinnakrit Banyong Kestsirin Theerathitichaipa Manlika Seefong Panuwat Wisutwattanasak Rattanaporn Kasemsri Thanapong Champahom Thaned Satiennam Vatanavongs Ratanavaraha Warit Wipulanusatd Wimon Laphrom