{"title":"宁波市电动自行车驾驶员工作条件及碰撞事故影响因素探讨","authors":"Jibiao Zhou , Ying Shen , Yanyong Guo , Sheng Dong","doi":"10.1016/j.jtte.2021.12.006","DOIUrl":null,"url":null,"abstract":"<div><p>The rapid development of the delivery industry brings convenience to modern society. However, the high rates of crashes and the survival of electric bicycle (e-bike) riders in the delivery industry raise concerns. The primary objective of this study is to explore the factors affecting delivery e-bike riders' stressful work pressure and crash involvement in China. Data were collected by a questionnaire survey administered in the city of Ningbo, China. A bivariate ordered probit (BOP) model was developed to simultaneously examine the factors associated with both the working conditions of delivery e-bike riders and their involvement in crashes. The marginal effects for the contributory factors were calculated to quantify their impacts on the outcomes. The results showed that the BOP model can account for commonly unobserved characteristics of the working conditions and crash involvement of delivery e-bike riders. The BOP model results showed that the stressful working conditions of delivery e-bike riders were affected by the number of orders and delivery time and rider age and risky riding behaviors. Delivery rider involvement in crashes was affected by the number of orders, strength of the punishment for traffic violations, and familiarity with traffic regulations. It was also found that stressful working conditions and crash involvement were strongly and positively correlated. The findings of this study can enhance our understanding of the factors that affect the working conditions and delivery rider crash involvement. Based on the results, some suggestions regarding public policy, risky riding behaviors, safety promotion, and stronger corporate governance rules were discussed to increase the targeted safety-related interventions for delivery e-bike riders in Ningbo, China.</p></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"10 4","pages":"Pages 633-646"},"PeriodicalIF":7.4000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the factors affecting electric bicycle riders' working conditions and crash involvement in Ningbo, China\",\"authors\":\"Jibiao Zhou , Ying Shen , Yanyong Guo , Sheng Dong\",\"doi\":\"10.1016/j.jtte.2021.12.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The rapid development of the delivery industry brings convenience to modern society. However, the high rates of crashes and the survival of electric bicycle (e-bike) riders in the delivery industry raise concerns. The primary objective of this study is to explore the factors affecting delivery e-bike riders' stressful work pressure and crash involvement in China. Data were collected by a questionnaire survey administered in the city of Ningbo, China. A bivariate ordered probit (BOP) model was developed to simultaneously examine the factors associated with both the working conditions of delivery e-bike riders and their involvement in crashes. The marginal effects for the contributory factors were calculated to quantify their impacts on the outcomes. The results showed that the BOP model can account for commonly unobserved characteristics of the working conditions and crash involvement of delivery e-bike riders. The BOP model results showed that the stressful working conditions of delivery e-bike riders were affected by the number of orders and delivery time and rider age and risky riding behaviors. Delivery rider involvement in crashes was affected by the number of orders, strength of the punishment for traffic violations, and familiarity with traffic regulations. It was also found that stressful working conditions and crash involvement were strongly and positively correlated. The findings of this study can enhance our understanding of the factors that affect the working conditions and delivery rider crash involvement. Based on the results, some suggestions regarding public policy, risky riding behaviors, safety promotion, and stronger corporate governance rules were discussed to increase the targeted safety-related interventions for delivery e-bike riders in Ningbo, China.</p></div>\",\"PeriodicalId\":47239,\"journal\":{\"name\":\"Journal of Traffic and Transportation Engineering-English Edition\",\"volume\":\"10 4\",\"pages\":\"Pages 633-646\"},\"PeriodicalIF\":7.4000,\"publicationDate\":\"2023-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Traffic and Transportation Engineering-English Edition\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2095756423000739\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Traffic and Transportation Engineering-English Edition","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2095756423000739","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Exploring the factors affecting electric bicycle riders' working conditions and crash involvement in Ningbo, China
The rapid development of the delivery industry brings convenience to modern society. However, the high rates of crashes and the survival of electric bicycle (e-bike) riders in the delivery industry raise concerns. The primary objective of this study is to explore the factors affecting delivery e-bike riders' stressful work pressure and crash involvement in China. Data were collected by a questionnaire survey administered in the city of Ningbo, China. A bivariate ordered probit (BOP) model was developed to simultaneously examine the factors associated with both the working conditions of delivery e-bike riders and their involvement in crashes. The marginal effects for the contributory factors were calculated to quantify their impacts on the outcomes. The results showed that the BOP model can account for commonly unobserved characteristics of the working conditions and crash involvement of delivery e-bike riders. The BOP model results showed that the stressful working conditions of delivery e-bike riders were affected by the number of orders and delivery time and rider age and risky riding behaviors. Delivery rider involvement in crashes was affected by the number of orders, strength of the punishment for traffic violations, and familiarity with traffic regulations. It was also found that stressful working conditions and crash involvement were strongly and positively correlated. The findings of this study can enhance our understanding of the factors that affect the working conditions and delivery rider crash involvement. Based on the results, some suggestions regarding public policy, risky riding behaviors, safety promotion, and stronger corporate governance rules were discussed to increase the targeted safety-related interventions for delivery e-bike riders in Ningbo, China.
期刊介绍:
The Journal of Traffic and Transportation Engineering (English Edition) serves as a renowned academic platform facilitating the exchange and exploration of innovative ideas in the realm of transportation. Our journal aims to foster theoretical and experimental research in transportation and welcomes the submission of exceptional peer-reviewed papers on engineering, planning, management, and information technology. We are dedicated to expediting the peer review process and ensuring timely publication of top-notch research in this field.