Analyzing Near-Miss Incidents and Risky Riding Behavior in Thailand: A Comparative Study of Urban and Rural Areas

Abstract

Preventing near-miss incidents is considered a proactive measure, as it aims to prevent events that have a risk of resulting in accidents. This is regarded as a vital component of building a sustainable and secure society within communities. In the present day, low- and middle-income countries (LMICs) often experience the highest fatality rates from motorcycle accidents, which frequently involve mixed traffic scenarios with other vehicles. The distinct physical characteristics and environmental conditions of roads in urban and rural areas significantly contribute to different riding behaviors. Therefore, the objective of this study is to develop a behavioral model related to near-miss incidents among motorcycle riders in both urban and rural regions using multi-group structural equation modeling (SEM). Data collected from six Thai regions via adapted MRBQ assessed control errors, violations, and safety equipment use in a sample of 2002 riders (1066 urban, 936 rural). Through parameter invariance testing, differences in factor loadings, intercepts, and structural paths were identified between urban and rural areas. All three of these factors significantly influenced near-miss incidents among motorcycle riders in both urban and rural areas. The policy recommendations resulting from this study can contribute to enhancing safety measures for motorcycle riders.

Assessing the Self-Report Instruments of Younger Versus Older Riders Involved in Near-Miss Motorcycle Incidents

“…These challenges impact attention, memory, problem-solving, and information processing capabilities [16], consequently amplifying the frequency of control errors and, consequently, elevating the accident risk [42]. The present study shares similarities with the research conducted by Jomnonkwao et al [45], where risk behavior factors in motorcycle riding significantly contributed to near-miss incidents, with control errors being the most influential. These control errors encompass issues related to managing the motorcycle's speed, negotiating curves, driving on slippery surfaces, and navigating unfavorable weather conditions.…”

“…The gathered responses contribute to the identification of patterns and risk factors and the development of targeted interventions and safety measures to mitigate the occurrence of near-miss incidents among motorcycle riders. The research conducted in Thailand by Hantanong et al [45] highlighted the substantial impact of risky motorcycle riding behaviors on the frequency of nearmiss incidents, both in urban and rural settings. The study identified three primary risk factors contributing to these incidents.…”

“…The majority of studies predominantly concentrated on scrutinizing driving behavior within the general rider population. A notable exception is the research conducted by Jomnonkwao et al [45], which specifically delved into evaluating risky behaviors contributing to near-miss accidents. The research investigates riding conduct in both urban and rural regions of Thailand, which is a developing nation.…”