移动互联短距离接运对居民出行方式的影响

发布时间：2018-04-21 18:09

本文选题：短距离接运 + RPSP数据融合　；参考：《南京信息工程大学》2017年硕士论文

【摘要】：提高公共交通分担率是目前阶段减缓道路交通拥堵主要措施,移动互联技术的出现为此实现了可能。在出行高峰阶段,移动互联接运以准公交价格,围绕地铁站、快速公交站进行短距离接运出行服务,实现首末一公里机动化出行,促使小汽车向公共交通转移,并以此统计上述运营数据,作为在其他时段常规运营服务门槛指标。与传统搭乘方式相比,移动互联短距离接运有如下明显的优势:(1)没有必要提前预约和计划,以防后期计划的变更。(2)短距离接运适用于大部分人群,在不占用主干道道路资源的情况下,对需求者实行快速转移,避免了交通拥堵状况。(3)能够通过政府补贴手段鼓励接运车辆运转,提高公共交通分担率。为此,本文首先对短距离接运出行及其特性进行了阐述,分析其优势所在,针对城市交通网络结构的不足,进行了短距离接运出行路线的规划设计,以确保接运出行中行驶较短的路线,保证居民快速转移。其次,对小汽车使用者进行RP调查,确定他们原本一周小汽车通勤天数,再采用SP调查法调查在不同接运价格下小汽车出行者放弃或减少小汽车使用的比例。然后,分析被调查者基本属性,包括性别、年龄及职业等所占比例,分别探讨其与被调查者小汽车通勤天数选择的关系,初步确定被调查者小汽车通勤出行天数选择的影响因素,同时也探讨了影响小汽车使用者公交出行的主要影响因素。最后,本文基于MNL模型及NL模型,建立RP模型、SP模型,以及RPSP数据相融合的模型,探讨小汽车使用者通勤天数选择的影响因素和模型间检验结果对比分析,并对模型敏感度分析,探讨不同接运价格及出行时间下,需求量变化情况。
[Abstract]:Increasing the share rate of public transport is the main measure to reduce traffic congestion at present stage, and the emergence of mobile interconnection technology is possible. During the peak period of travel, mobile interconnect transportation with quasi-public transport price, around subway stations, bus rapid transit stations to carry out short distance transportation services, to achieve the first and last one kilometer motorized travel, promote the transfer of cars to public transport. And statistics the above-mentioned operation data, as other time-time routine operation service threshold index. Compared with the traditional way of riding, the advantages of mobile Internet short distance transportation are as follows: 1) there is no need to make advance appointments and plans, in case the later planned changes. 2) short distance connections apply to the majority of people. In the case of not occupying the road resources of the main road, the demanders can be transferred rapidly to avoid the traffic congestion. 3) it can encourage the running of the transport vehicles through the means of government subsidies, and improve the share rate of public transport. For this reason, this paper firstly expounds the short distance transportation trip and its characteristics, analyzes its advantages, and aims at the shortage of urban traffic network structure, carries out the planning and design of the short distance transportation trip route. In order to ensure a shorter route, to ensure the rapid transfer of residents. Secondly, RP survey was carried out to determine the number of commuting days per week, and then SP method was used to investigate the proportion of car travelers giving up or reducing the use of cars at different prices. Then, the basic attributes of the respondents, including sex, age and occupation, were analyzed, and the relationship between them and the choice of the number of days of commuting by car was discussed. The factors influencing the number of days of commuting trip were preliminarily determined, and the main influencing factors of bus travel for car users were also discussed. Finally, based on the MNL model and NL model, the RP model and the model of RPSP data fusion are established, and the factors influencing the choice of commuting days for car users and the comparison of test results between the models are discussed. The sensitivity of the model is analyzed to study the change of demand under different transportation price and travel time.
【学位授予单位】：南京信息工程大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U491

【参考文献】