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大学生自行车出行路线决策行为研究 被引量:1

Research on Decision-making Behavior of College Students’ Bicycle Travel Route
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摘要 为了使研究更加切合我国现有的骑行特点,采用可视化的意向调查手段,准确呈现了现实道路行驶环境因素,对大学生群体进行问卷调查。获取了上海市大学生群体在不同行驶道路环境下路线决策行为数据。在此基础上,首先进行描述性分析,其次应用多元Logit模型对意向数据进行建模。结果表明:当可选择路线之间的时间差相对较小时,大学生群体面临路线决策时,更愿意选择交叉口信号灯少;设有交通标线;且绿荫程度大的路线。由分析可知,行驶道路的交叉口信号灯数量、机非隔离设施、道路绿荫程度,会显著影响出行路线决策。研究成果有利用我国自行车系统建设优化升级,构建更具有吸引力的道路行驶环境。 In order to make the research more suitable for the characteristics of the existing riding in China, the visual in-tention survey method was used to accurately present the actual road driving environment factors and conduct a question-naire survey on the college students in Shanghai. The data of the decision-making behavior of university students in differ-ent driving roads were obtained. On this basis, the descriptive analysis was first carried out, and then the intent data was modeled with the multinomial Logit model. The results show that when the time difference between the alternative routes is relatively small, the college students are faced with the route decision, they are more willing to choose decision with fewer traffic lights, traffic markings and large green shades. It can be seen from the analysis that the number of traffic lights at the intersection of the road, the non-isolated facilities, and the degree of road greening will significantly affect the travel route decision. The research results will improve the optimiza-tion and upgrading of China's bicycle system construction and be benefit to build a more attractive driving environment.
作者 崔何凌 干宏程 CUI Heling;GAN Hongcheng(Management School,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处 《物流科技》 2019年第7期76-79,85,共5页 Logistics Sci-Tech
基金 国家自然科学基金项目(71871143) 上海市曙光学者人才计划资助项目(15SG41)
关键词 城市交通 路线选择 多元LOGIT模型 大学生 出行行为分析 urban traffic route choice multinomial Logit model college students travel behavior analysis
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