{"title":"分析影响印度摩托车手为安全付费意愿的行为因素","authors":"Anand Kumar Saurav , Ranja Bandyopadhyaya , Hillol Chakravarty , Vijaya Bandyopadhyaya","doi":"10.1016/j.cstp.2025.101542","DOIUrl":null,"url":null,"abstract":"<div><div>This work analyses motorcycle riders’ willingness to pay (WTP) for fatality risk reduction (RR), for 20% 40%, 50%, 60% and 80% RR levels, considering hypothetical improved helmets using payment card. Value of Statistical Life (VSL), which indicates the WTP value for 1% risk reduction, is estimated considering linear variation of average WTP for different RR levels. The work also analyses how RR level and individual’s socio-demographic profile influence WTP for safety using two-level Tobit model. Structural equation model was used to analyze how socio-demographic profile affect individual’s personal and social beliefs towards helmet use and safety, how these beliefs affect attitude towards helmet use (Theory of Planned Behavior constructs) and how these attitudes in turn affect the WTP. Data for this work was collected through face-to-face interviews of 541 motorcyclists in Patna, India.</div><div>The VSL for Indian motorcycle rider safety was estimated as 1,170,000 USD, which is about 52 times the per capita income, which is in the range of VSL observed by other researchers for road safety for low- and middle-income countries. It was observed that greater RR potential of helmet improved WTP significantly. More people were willing to pay less than average for any RR level but average WTP variability was less for higher RR levels. VSL obtained was comparable to that obtained in similar Asian countries. Also, socio-demographic characteristics gender, education, income, marital status and household size significantly influenced the beliefs; beliefs influenced attitudes, and attitudes influenced WTP.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101542"},"PeriodicalIF":2.4000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analyzing behavioral factors affecting Indian motorcyclists willingness to pay for safety\",\"authors\":\"Anand Kumar Saurav , Ranja Bandyopadhyaya , Hillol Chakravarty , Vijaya Bandyopadhyaya\",\"doi\":\"10.1016/j.cstp.2025.101542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This work analyses motorcycle riders’ willingness to pay (WTP) for fatality risk reduction (RR), for 20% 40%, 50%, 60% and 80% RR levels, considering hypothetical improved helmets using payment card. Value of Statistical Life (VSL), which indicates the WTP value for 1% risk reduction, is estimated considering linear variation of average WTP for different RR levels. The work also analyses how RR level and individual’s socio-demographic profile influence WTP for safety using two-level Tobit model. Structural equation model was used to analyze how socio-demographic profile affect individual’s personal and social beliefs towards helmet use and safety, how these beliefs affect attitude towards helmet use (Theory of Planned Behavior constructs) and how these attitudes in turn affect the WTP. Data for this work was collected through face-to-face interviews of 541 motorcyclists in Patna, India.</div><div>The VSL for Indian motorcycle rider safety was estimated as 1,170,000 USD, which is about 52 times the per capita income, which is in the range of VSL observed by other researchers for road safety for low- and middle-income countries. It was observed that greater RR potential of helmet improved WTP significantly. More people were willing to pay less than average for any RR level but average WTP variability was less for higher RR levels. VSL obtained was comparable to that obtained in similar Asian countries. Also, socio-demographic characteristics gender, education, income, marital status and household size significantly influenced the beliefs; beliefs influenced attitudes, and attitudes influenced WTP.</div></div>\",\"PeriodicalId\":46989,\"journal\":{\"name\":\"Case Studies on Transport Policy\",\"volume\":\"21 \",\"pages\":\"Article 101542\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Case Studies on Transport Policy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213624X25001798\",\"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":"Case Studies on Transport Policy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213624X25001798","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0
摘要
本研究分析了摩托车骑手在20%、40%、50%、60%和80%的风险降低率水平下为降低死亡风险付费的意愿(WTP),并考虑了使用支付卡改进头盔的假设。统计寿命值(Value of Statistical Life, VSL)表示风险降低1%时的WTP值,该值考虑了不同RR水平下平均WTP的线性变化。研究还利用两级Tobit模型分析了RR水平和个人社会人口特征对WTP安全性的影响。采用结构方程模型分析了社会人口统计特征如何影响个体对头盔使用和安全的个人和社会信念,这些信念如何影响对头盔使用的态度(计划行为理论构建),以及这些态度如何反过来影响WTP。这项工作的数据是通过对印度巴特那的541名摩托车手的面对面访谈收集的。据估计,印度摩托车骑手安全的VSL为117万美元,约为人均收入的52倍,在其他研究人员观察到的中低收入国家道路安全的VSL范围内。结果表明,头盔RR电位的增加显著提高了WTP。在任何RR水平下,更多的人愿意支付低于平均水平的费用,但在较高的RR水平下,平均WTP变异性较小。获得的VSL与类似亚洲国家的VSL相当。此外,社会人口特征、性别、教育、收入、婚姻状况和家庭规模也显著影响这些信念;信念影响态度,态度影响WTP。
Analyzing behavioral factors affecting Indian motorcyclists willingness to pay for safety
This work analyses motorcycle riders’ willingness to pay (WTP) for fatality risk reduction (RR), for 20% 40%, 50%, 60% and 80% RR levels, considering hypothetical improved helmets using payment card. Value of Statistical Life (VSL), which indicates the WTP value for 1% risk reduction, is estimated considering linear variation of average WTP for different RR levels. The work also analyses how RR level and individual’s socio-demographic profile influence WTP for safety using two-level Tobit model. Structural equation model was used to analyze how socio-demographic profile affect individual’s personal and social beliefs towards helmet use and safety, how these beliefs affect attitude towards helmet use (Theory of Planned Behavior constructs) and how these attitudes in turn affect the WTP. Data for this work was collected through face-to-face interviews of 541 motorcyclists in Patna, India.
The VSL for Indian motorcycle rider safety was estimated as 1,170,000 USD, which is about 52 times the per capita income, which is in the range of VSL observed by other researchers for road safety for low- and middle-income countries. It was observed that greater RR potential of helmet improved WTP significantly. More people were willing to pay less than average for any RR level but average WTP variability was less for higher RR levels. VSL obtained was comparable to that obtained in similar Asian countries. Also, socio-demographic characteristics gender, education, income, marital status and household size significantly influenced the beliefs; beliefs influenced attitudes, and attitudes influenced WTP.