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基于非集计模型的中长途客运旅客选择方式
引用本文:邓天民,万桥,冒国韬,谭思奇.基于非集计模型的中长途客运旅客选择方式[J].科学技术与工程,2021,21(24):10512-10517.
作者姓名:邓天民  万桥  冒国韬  谭思奇
作者单位:重庆交通大学
基金项目:国家重点基础研究发展计划(973计划)
摘    要:近年来,随着我国高铁的快速发展,给公路客运产生了巨大的冲击。为了提高公路客运企业竞争力,结合中长旅客出行需求和发展态势,笔者从旅客特性、出行特征、运输方式特性等角度,分析了旅客出行行为偏好影响因素,构建了基于非集计的多元Logistic旅客选择方式回归模型。论文依据北京公路客运数据,对0~400km和400~800km的中短途和中长途旅客出行选择行为进行了敏感度分析实验。实验表明,0~400km中短途出行的旅客对便捷性和准时性的敏感度高,而400~800km中长途出行的旅客对出行费用、出行时间、舒适性和安全性的敏感度高。

关 键 词:效用理论  多元Logistic回归模型  出行方式选择  公路客运
收稿时间:2021/3/11 0:00:00
修稿时间:2021/6/9 0:00:00

Passenger Selection Method of Medium and Long Distance Passenger Transport Based on Disaggregate Model
Deng Tianmin,Wan Qiao,Mao Guotao,Tan Siqi.Passenger Selection Method of Medium and Long Distance Passenger Transport Based on Disaggregate Model[J].Science Technology and Engineering,2021,21(24):10512-10517.
Authors:Deng Tianmin  Wan Qiao  Mao Guotao  Tan Siqi
Institution:Chongqing Jiaotong University
Abstract:In recent years, the rapid development of China''s high-speed railway has had a significant impact on highway passenger transport. Combined with the travel demand of medium and long-distance passengers and development trend, this thesis aims to improve the competitiveness of highway passenger transportation enterprises. The influencing factors of passenger travel behavior preference in terms of passenger characteristics, travel characteristics, transportation mode characteristics were analyzed, and a multivariate logistic passenger selection mode based on disaggregate model was built. According to Beijing highway passenger transportation data, the sensitivity analysis experiments on the travel selection behavior of passengers in the short and medium distance ranging from 0 to 400km and medium and long distance ranging from 400 to 800km were implemented in this paper, which shows that passengers with short and medium distance travel of 0-400 km have high sensitivity to convenience along with punctuality, whereas passengers with medium and long distance travel of 400-800km have high sensitivity to travel cost, travel time, comfort, as well as security.
Keywords:Theory of Consumer Behavior  Multinomial Logistic Regression Model  Travel mode selection  Road passenger transport
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