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基于家的单目的出行满意时耗研究 被引量:1

Study on Travel Satisfaction Time Consumption Based on Home-based Single Purpose
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摘要 出行时耗是居民出行特征的重要指标,也是现代城市规划和交通规划者关注的重点.以2018年武汉市居民出行调查数据为基础,基于家的单目的性出行,分析居民单次出行时耗与出行时耗满意度之间的关系,采取满意度平均值法、满意者众数法和满意者出行时耗累计频率法,分析得出武汉市居民总体满意的单次出行时耗约为27 min,不同收入、不同出行方式、不同出行目的、不同出行时段的居民满意的单次出行时耗分别为28.3~30.0,25.3~28.3,25.0~26.7,22.5~25.5 min. Travel time consumption is an important indicator of residents’travel characteristics,and it is also the focus of modern urban planning and transportation planners.Based on the survey data of Wuhan residents’travel in 2018,this paper analyzed the relationship between residents’single travel time consumption and travel time consumption satisfaction.By using the satisfaction average method,satisfaction mode method and satisfaction travel time consumption cumulative frequency method,it is concluded that the overall satisfaction of Wuhan residents is about 27 min.Residents with different incomes,different travel modes,different travel purposes and different travel periods are satisfied with the single travel time consumption of 28.3~30.0,25.3~28.3,25.0~26.7 and 22.5~25.5 min respectively.
作者 朱顺应 汪攀 肖文彬 王红 赵笑月 ZHU Shunying;WANG Pan;XIAO Wenbin;WANG Hong;ZHAO Xiaoyue(School of Transportation, Wuhan University of Technology, Wuhan 430063, China)
出处 《武汉理工大学学报(交通科学与工程版)》 2020年第4期617-621,627,共6页 Journal of Wuhan University of Technology(Transportation Science & Engineering)
关键词 城市规划 交通规划 居民出行 出行时耗 满意度 人工神经网络 urban planning transportation planning residents travel travel time consumption time consumption satisfaction artificial neural network
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