Personal Characteristics of e-Bike Riders and Illegal Lane Occupation Behavior
This study aimed to reveal the potential relationship between personal characteristics of e-bike riders and illegal occupation of motor vehicle lane. To this end, a questionnaire survey was conducted and 350 valid copies of responses were retrieved from the e-bike riders. Depending on the number of...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/1840975 |
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| _version_ | 1832567916548063232 |
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| author | Changxi Ma Jibiao Zhou Dong Yang Fuquan Pan Yuanyuan Fan |
| author_facet | Changxi Ma Jibiao Zhou Dong Yang Fuquan Pan Yuanyuan Fan |
| author_sort | Changxi Ma |
| collection | DOAJ |
| description | This study aimed to reveal the potential relationship between personal characteristics of e-bike riders and illegal occupation of motor vehicle lane. To this end, a questionnaire survey was conducted and 350 valid copies of responses were retrieved from the e-bike riders. Depending on the number of motor vehicle lanes occupied, the risky behavior of illegal occupation was divided into four intervals: intervals A, B, C, and D. The disaggregate theory has high adaptability to the analysis of individual traffic behavior. In this study, the multinomial logit model was used, and eight personal characteristics of e-bike riders were selected. The aforementioned four intervals were the four selection limbs, and a measurement model calculating the influence of personal characteristics on the behavior of illegal occupation was built. The theory of elasticity was employed to analyze the sensitivity degree of each influence factor. The results showed that the absolute values of elasticity of all tested influence factors, including age, educational level, and eye vision, were less than 1.000. However, on the four intervals, the elasticity of riders’ temperament was 1.203, 1.656, 1.554, and 1.355, respectively, and elasticity of riding proficiency was 2.782, 3.883, 3.453, and 2.932, respectively. |
| format | Article |
| id | doaj-art-0fbbb8f89ff34a7c84eab14c3233b2b9 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-0fbbb8f89ff34a7c84eab14c3233b2b92025-02-03T01:00:07ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/18409751840975Personal Characteristics of e-Bike Riders and Illegal Lane Occupation BehaviorChangxi Ma0Jibiao Zhou1Dong Yang2Fuquan Pan3Yuanyuan Fan4School of Traffic and Transportation, Lanzhou Jiaotong University, Anning West Rd. #88, Anning District, Lanzhou 730070, ChinaDepartment of Transportation Engineering, Tongji University, Caoan Rd. #4800, Shanghai 201804, ChinaSchool of Traffic and Transportation, Lanzhou Jiaotong University, Anning West Rd. #88, Anning District, Lanzhou 730070, ChinaSchool of Mechanical and Automotive Engineering, Qingdao University of Technology, Changjiang Middle Rd. #2, Qingdao 266520, ChinaSchool of Traffic and Transportation, Lanzhou Jiaotong University, Anning West Rd. #88, Anning District, Lanzhou 730070, ChinaThis study aimed to reveal the potential relationship between personal characteristics of e-bike riders and illegal occupation of motor vehicle lane. To this end, a questionnaire survey was conducted and 350 valid copies of responses were retrieved from the e-bike riders. Depending on the number of motor vehicle lanes occupied, the risky behavior of illegal occupation was divided into four intervals: intervals A, B, C, and D. The disaggregate theory has high adaptability to the analysis of individual traffic behavior. In this study, the multinomial logit model was used, and eight personal characteristics of e-bike riders were selected. The aforementioned four intervals were the four selection limbs, and a measurement model calculating the influence of personal characteristics on the behavior of illegal occupation was built. The theory of elasticity was employed to analyze the sensitivity degree of each influence factor. The results showed that the absolute values of elasticity of all tested influence factors, including age, educational level, and eye vision, were less than 1.000. However, on the four intervals, the elasticity of riders’ temperament was 1.203, 1.656, 1.554, and 1.355, respectively, and elasticity of riding proficiency was 2.782, 3.883, 3.453, and 2.932, respectively.http://dx.doi.org/10.1155/2020/1840975 |
| spellingShingle | Changxi Ma Jibiao Zhou Dong Yang Fuquan Pan Yuanyuan Fan Personal Characteristics of e-Bike Riders and Illegal Lane Occupation Behavior Journal of Advanced Transportation |
| title | Personal Characteristics of e-Bike Riders and Illegal Lane Occupation Behavior |
| title_full | Personal Characteristics of e-Bike Riders and Illegal Lane Occupation Behavior |
| title_fullStr | Personal Characteristics of e-Bike Riders and Illegal Lane Occupation Behavior |
| title_full_unstemmed | Personal Characteristics of e-Bike Riders and Illegal Lane Occupation Behavior |
| title_short | Personal Characteristics of e-Bike Riders and Illegal Lane Occupation Behavior |
| title_sort | personal characteristics of e bike riders and illegal lane occupation behavior |
| url | http://dx.doi.org/10.1155/2020/1840975 |
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