基于TOD理念的自行车与轨道交通换乘研究

发布时间：2018-01-07 01:28

本文关键词：基于TOD理念的自行车与轨道交通换乘研究　出处：《东南大学》2015年硕士论文　论文类型：学位论文

更多相关文章： TOD B+R BL模型 换乘因素

【摘要】：近年来我国的城市蔓延现象带来了土地过度消耗以及郊区化发展的问题,居民的出行距离随之增加,同时愈加依赖机动化出行方式,交通拥堵、环境恶化、能源消耗过度等现象随之产生。越来越多的学者认识到要摒弃解决城市单一问题的思路,以公交为导向的开发(TOD)获得了学界的认可。轨道交通的大规模建设已经在我国大型城市中开展起来,如何提高轨道交通分担率是TOD发展中的一项重要议题。随着近年来“最后一公里”问题的出现,自行车被认为是一种与轨道交通接驳的有效方式,能够提高轨道交通站点的可达性,并且在环保、灵活方面有其独特的优势。文章首先介绍了自行车交通和轨道交通的基本特点、交通特性、时空分布特性等,指出了自行车和轨道交通换乘的可行性和必要性。随后利用多元回归模型,分析轨道交通客流量与TOD相关因素的关系,结果表明轨道交通相关的换乘条件是决定轨道交通客流量的关键。然后利用南京四个轨道交通站点的调查数据,建立了影响换乘因素的因子分析模型,SPSS软件结果将其归类为四个因子,分别命名为自行车出行感知因子、出行因子、个人因子、TOD因子。根据因子分析提取的结果,用调查数据分别建立含有TOD因子和不含TOD因子的换乘概率模型,发现含有TOD因子的BL模型拟合优度更高。最后利用模型分别估算了各个站点的换乘需求。
[Abstract]:In recent years, our country city spread phenomenon has brought the excessive consumption of land and suburbanization, residents travel distance increases, and increasingly dependent on motorized travel, traffic congestion, environmental degradation, excessive energy consumption and other phenomena arise. More and more scholars recognize that to solve the problem of single city to abandon the idea in order to develop, transit oriented (TOD) gained academic recognition. The large-scale construction of rail transportation has been carried out in a large city in our country, how to improve the contribution rate of rail transportation is an important issue in the development of TOD in recent years. With the advent of the "last mile" problem, the bicycle is considered an effective way of connecting and rail transportation, rail transportation can improve the accessibility of the site, and in environmental protection, has its unique advantages and flexible. This article first introduces the bicycle to The basic characteristics and rail traffic characteristics, temporal and spatial distribution characteristics, points out the necessity and feasibility of bike and rail transfer. Then using multiple regression model, analysis of the correlation between rail traffic and TOD. The results show that the transfer condition of rail transportation related is the key of rail traffic. Then based on the survey data of four Nanjing rail transit station, established a model to analyze the influencing factor of transfer factor, the software SPSS will be classified into four factors, named bicycles perception factor, travel factor, individual factor, TOD factor. According to the analysis results of the extraction factor, establish the transfer probability model containing TOD factor and without TOD factor were used to survey data, found the TOD factor BL model fitting degree is higher. Finally, using the model estimated each site Transfer demand.

【学位授予单位】：东南大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U12

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