{"title":"印度尼西亚摩托车手在铁路道口违规的普遍性及其背后的意图：发展中国家的行为模式与经验教训","authors":"Santi Velantia, Ari Widyanti, Titah Yudhistira","doi":"10.1016/j.iatssr.2024.01.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>Indonesia experiences a high number of motorcycle accidents at railway crossings (RLXs). The purpose of this study is to observe motorcyclists' behavior and intent to cross the railway in a dangerous or illegal way and the factors influencing these decisions.</p></div><div><h3>Method</h3><p>Two hundred and fifty-nine people (mean age = 24.2 years, SD = 7.2 years, 146 males, 113 females) voluntarily participated in this study by filling in an online questionnaire. This questionnaire gathered demographic data and used constructs adapted from the extended Theory of Planned Behavior, asking respondents about their behavior at RLXs when the barrier is open, when it is half closed and when it is fully closed. A five-point Likert scale was used to measure the response of the questionnaire. Data were analyzed using descriptive analysis for demographic data, inferential statistics, and structural equation modeling (SEM) for the construct items of the model. Field observation was also conducted to measure the violation rate at RLXs at both busy and non-busy times, which were then compared.</p></div><div><h3>Result</h3><p>The results show that factors influencing RLX violation based on the extended Theory of Planned Behavior model are attitude, past behavior, and traffic environments. Demographic factors, occupation, RLX characteristics, and crossing frequency were related to self-reported violations and intentions to violate. Based on our observations and questionnaire, it was found that when accident risk was higher, the observed violation rate decreased significantly, as did intention to violate and previous risky crossing behavior.</p></div><div><h3>Conclusion</h3><p>violations at railway crossings are influenced by individual and environmental factors as well as perceived risk.</p></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0386111224000025/pdfft?md5=ab135c446b57135e55f3230d108108b7&pid=1-s2.0-S0386111224000025-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Prevalence of and intent behind motorcyclists' violations at railway crossings in Indonesia: Modeling behavior and learning lessons from a developing country\",\"authors\":\"Santi Velantia, Ari Widyanti, Titah Yudhistira\",\"doi\":\"10.1016/j.iatssr.2024.01.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>Indonesia experiences a high number of motorcycle accidents at railway crossings (RLXs). The purpose of this study is to observe motorcyclists' behavior and intent to cross the railway in a dangerous or illegal way and the factors influencing these decisions.</p></div><div><h3>Method</h3><p>Two hundred and fifty-nine people (mean age = 24.2 years, SD = 7.2 years, 146 males, 113 females) voluntarily participated in this study by filling in an online questionnaire. This questionnaire gathered demographic data and used constructs adapted from the extended Theory of Planned Behavior, asking respondents about their behavior at RLXs when the barrier is open, when it is half closed and when it is fully closed. A five-point Likert scale was used to measure the response of the questionnaire. Data were analyzed using descriptive analysis for demographic data, inferential statistics, and structural equation modeling (SEM) for the construct items of the model. Field observation was also conducted to measure the violation rate at RLXs at both busy and non-busy times, which were then compared.</p></div><div><h3>Result</h3><p>The results show that factors influencing RLX violation based on the extended Theory of Planned Behavior model are attitude, past behavior, and traffic environments. Demographic factors, occupation, RLX characteristics, and crossing frequency were related to self-reported violations and intentions to violate. Based on our observations and questionnaire, it was found that when accident risk was higher, the observed violation rate decreased significantly, as did intention to violate and previous risky crossing behavior.</p></div><div><h3>Conclusion</h3><p>violations at railway crossings are influenced by individual and environmental factors as well as perceived risk.</p></div>\",\"PeriodicalId\":47059,\"journal\":{\"name\":\"IATSS Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0386111224000025/pdfft?md5=ab135c446b57135e55f3230d108108b7&pid=1-s2.0-S0386111224000025-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IATSS Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0386111224000025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"TRANSPORTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IATSS Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0386111224000025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION","Score":null,"Total":0}
Prevalence of and intent behind motorcyclists' violations at railway crossings in Indonesia: Modeling behavior and learning lessons from a developing country
Objective
Indonesia experiences a high number of motorcycle accidents at railway crossings (RLXs). The purpose of this study is to observe motorcyclists' behavior and intent to cross the railway in a dangerous or illegal way and the factors influencing these decisions.
Method
Two hundred and fifty-nine people (mean age = 24.2 years, SD = 7.2 years, 146 males, 113 females) voluntarily participated in this study by filling in an online questionnaire. This questionnaire gathered demographic data and used constructs adapted from the extended Theory of Planned Behavior, asking respondents about their behavior at RLXs when the barrier is open, when it is half closed and when it is fully closed. A five-point Likert scale was used to measure the response of the questionnaire. Data were analyzed using descriptive analysis for demographic data, inferential statistics, and structural equation modeling (SEM) for the construct items of the model. Field observation was also conducted to measure the violation rate at RLXs at both busy and non-busy times, which were then compared.
Result
The results show that factors influencing RLX violation based on the extended Theory of Planned Behavior model are attitude, past behavior, and traffic environments. Demographic factors, occupation, RLX characteristics, and crossing frequency were related to self-reported violations and intentions to violate. Based on our observations and questionnaire, it was found that when accident risk was higher, the observed violation rate decreased significantly, as did intention to violate and previous risky crossing behavior.
Conclusion
violations at railway crossings are influenced by individual and environmental factors as well as perceived risk.
期刊介绍：
First published in 1977 as an international journal sponsored by the International Association of Traffic and Safety Sciences, IATSS Research has contributed to the dissemination of interdisciplinary wisdom on ideal mobility, particularly in Asia. IATSS Research is an international refereed journal providing a platform for the exchange of scientific findings on transportation and safety across a wide range of academic fields, with particular emphasis on the links between scientific findings and practice in society and cultural contexts. IATSS Research welcomes submission of original research articles and reviews that satisfy the following conditions: 1.Relevant to transportation and safety, and the multiple impacts of transportation systems on security, human health, and the environment. 2.Contains important policy and practical implications based on scientific evidence in the applicable academic field. In addition to welcoming general submissions, IATSS Research occasionally plans and publishes special feature sections and special issues composed of invited articles addressing specific topics.
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