考虑轨道换乘设施优化的重庆市低碳出行行为引导研究

发布时间：2018-10-12 14:49

【摘要】：随着城市发展速度的加快、居民可支配收入的增加,城市居民的小汽车保有量持续增长,城市交通拥堵问题日益严重,同时导致了人类生活环境的不断恶化。大城市的地域空间辐射半径可以高达几十甚至上百公里,城市空间规模的不断扩大对城市交通系统提出了新的要求,传统的公交车出行已无法适应城市居民远距离的出行要求,小汽车出行受到拥堵的城市交通限制也将无所适从。轨道交通高效低耗的特性使其成为缓解城市交通拥堵问题的有效措施,实现减少城市交通碳排放、改善居民生存环境的必然要求。通过设计重庆市居民出行选择调查方案进行调查问卷获得实际数据,针对影响城市居民出行选择的微观因素进行了全面分析。利用SPSS软件进行因素的删选与相关性分析,确定了影响居民出行选择的显著的个人属性和出行特性变量。基于出行方式选择的Logit模型和需求弹性理论,以提高轨道交通吸引力,实现低碳城市交通治理为目标,通过建立多项Logit模型分析了出行者的年龄、性别和收入水平等出行者自身特征对重庆市居民选择轻轨出行的影响。针对小汽车出行者,建立了累积Logit模型分析了换乘时间和步行时间对于小汽车出行者向轨道交通转移的选择意愿。基于建立的多项Logit和累积Logit模型进行参数标定,通过模型参数和模型拟合检验表明模型的拟合度良好,采用发生比率和弹性分析的方法对模型结果进行了系统分析。最后,以重庆市轨道交通牛角沱换乘站的实地调查数据为依据,分析了重庆市牛角沱换乘站的换乘现状,对换乘站内设施进行了布局和数量分析。基于换乘设施能力分析,本章通过分析重庆市轨道交通站内换乘存在的问题,依据轨道重庆市发展和改革委员会以渝发改交[2013]1872号文件关于牛角沱换乘通道存在的问题,对重庆市牛角沱换乘站增加站台宽度、增加自动扶梯数量和楼梯宽度、采用自动步道缩短换乘步行时间等措施对站内设施布局和数量提出了优化建议。最后分析了改进后的换乘过程,缩短了换乘时间,以交通碳排放为目标进行效果评价。
[Abstract]:With the acceleration of urban development and the increase of residents' disposable income, the number of cars owned by urban residents continues to increase, and the problem of urban traffic congestion is becoming more and more serious, which leads to the deterioration of human living environment. The radiative radius of regional space in large cities can be as high as tens or even hundreds of kilometers. The continuous expansion of urban space has put forward new requirements for the urban transportation system. The traditional bus travel has been unable to adapt to the long-distance travel requirements of urban residents. Car travel by congested urban traffic restrictions will also be at a loss. The characteristics of high efficiency and low consumption of rail transit make it an effective measure to alleviate the problem of urban traffic congestion, to reduce the carbon emissions of urban traffic, and to improve the living environment of residents. Through the design of Chongqing residents travel choice questionnaire to obtain the actual data, aimed at the impact of urban residents travel choice of micro-factors were comprehensively analyzed. By using the SPSS software to select the factors and the correlation analysis, the significant personal attributes and travel characteristic variables that affect the residents' travel choice are determined. Based on the Logit model and demand elasticity theory of travel mode selection, the paper analyzes the age of travelers by establishing a number of Logit models in order to improve the attraction of rail transit and realize the transportation governance of low-carbon cities. The influence of sex and income level on the light rail travel of Chongqing residents. A cumulative Logit model is established to analyze the choice of transfer time and walking time to rail transit. The model parameters were calibrated based on the established Logit and cumulative Logit models. The model parameters and model fitting tests showed that the model fit degree was good. The occurrence ratio and elastic analysis methods were used to analyze the model results systematically. Finally, based on the field investigation data of Niujiaotuo transfer station of Chongqing rail transit, the present situation of transfer of Niujiaotuo transfer station in Chongqing is analyzed, and the layout and quantity of the facilities in the transfer station are analyzed. Based on the analysis of transfer facility capacity, this chapter analyzes the problems existing in the transfer of railway stations in Chongqing, and according to the problems in Niujiao Tuo transfer corridor of Chongqing Railway Development and Reform Commission [2013] 1872, This paper puts forward some suggestions for optimizing the layout and quantity of facilities in Chongqing Niujiaotuo transfer Station by increasing the platform width, increasing the number of escalators and the width of stairs, and adopting automatic track to shorten the time of transfer and walking. Finally, the improved transfer process is analyzed, and the transfer time is shortened.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U12

【相似文献】