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Modeling Factors Influencing Passenger Decisions on Intercity and Regional Railway Train Leinia, Audinda Virsa; Sidhiq, Sham
UKaRsT Vol. 9 No. 2 (2025): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v9i2.6960

Abstract

The dependence on private vehicles has grown significantly in the past decade, impacting travel experience quality. Transportation companies need to focus on enhancing the loyalty through exploring choice behavior. Existing research often focuses on typical service attributes, but the comparative impact with more complex variables factors remains underexplored. This study aims to identify factors influencing intercity and regional rail passenger travel decisions. This research explores sociodemographics, travel behavior, and factors affecting their mode of choice. Survey data using questionnaires were collected from 649 respondents across four intercity and five regional rail services. Logistic regression models were developed with variable selection validated using the Wald significance test and model evaluation conducted. The results indicate that intercity rail travel choices are significantly influenced by disposable income, trip purpose, and onboard comfort attributes such as air conditioning and cleanliness. In contrast, regional train choice is largely driven by factors such as occupancy rate, frequency of use, travel time reduction, and cost sensitivity. These findings confirm that intercity and regional passengers represent distinct market segments shaped by different behavioral priorities. The resulting models demonstrated strong performance, with the intercity model explaining 76.8% of the variance in choice and achieving a predictive accuracy of 82.1%, while the regional model explained 58.9% of the variance with an accuracy of 63.8%. The findings suggest that fare adjustment strategies and service development focused on air conditioning, cleanliness, and travel time can enhance ridership for both train types, thereby enhancing the overall attractiveness of the public transportation system.
THE STRUCTURE OF RISKY RIDING: A FACTOR ANALYSIS OF A MODIFIED MRBQ TO PREDICT CRASH RISK IN A LOW-INCOME SETTING: THE STRUCTURE OF RISKY RIDING: A FACTOR ANALYSIS OF A MODIFIED MRBQ TO PREDICT CRASH RISK IN A LOW-INCOME SETTING Leinia, Audinda Virsa; Sidhiq, Sham
Bangun Rekaprima Vol. 12 No. 1 (2026): April 2026
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/bangunrekaprima.v12i1.7474

Abstract

Road traffic injuries are a serious global health issue, especially in nations with low and moderate incomes. In 2021, for example, the Asia-Pacific region accounted for approximately 60% of all worldwide traffic fatalities, a figure that highlights the urgency of the problem. In Indonesia, a developing country, motorcycles are the most popular mode of transport, but they are also the deadliest, with riders accounting for over 70% of traffic deaths between 2013 and 2018. This issue is particularly pronounced among young adults (aged 18–25), who are responsible for 51% of all traffic accidents in the country.To address this, a comprehensive study was conducted using a modified Motorcycle Rider Behaviour Questionnaire (MRBQ) engaged to the Indonesian context. The research aimed to identify factors associated with unsafe riding behaviors, which are primarily driven by human factors. Of the 96 riders approached, 92 participated (96% response rate); most were male (61.25%), aged 19–20 years, students (97.80%), and used automatic motorcycles (89.70%), with 72% having less than 10 years of riding experience and 58% reporting a near-crash in the past year. Traffic violations (M = 3.65 ± 0.46) and errors (M = 2.12 ± 0.32) were the most prevalent behaviors and were significantly associated with negative attitudes, social norms, and crash involvement (r = 0.15–0.45, p < 0.01), whereas stunt-related behaviors were rare (M ≈ 1.02) and formed a distinct factor.These findings highlight the need for targeted interventions that focus on psychological factors like negative attitudes and social norms, which were found to be strongly linked to risky riding and crash history. This study demonstrates that the MRBQ exhibits a context-specific four-factor structure (errors, violations, safety gear violations, and stunts) among Indonesian young adult motorcyclists with strong psychometric support, while also highlighting the need for further item refinement and alternative data collection methods to address contextual behaviors.