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基于历史街区的慢行交通特性研究

发布时间:2018-01-20 11:46

  本文关键词: 历史街区 慢行交通 行人交通特性 自行车交通特性 服务水平评价 出处:《西安建筑科技大学》2014年硕士论文 论文类型:学位论文


【摘要】:慢行交通是以步行和自行车为主的一种交通方式,是每个人出行的主要选择方式,也是“以人为本”、绿色的出行方式。在历史街区这个特定载体下的慢行交通有独特的交通特性,研究这些特性对进行慢行交通系统规划,解决历史街区的慢行交通问题,在历史街区内推广慢行交通都有着重要的意义。本文主要研究历史街区的行人和自行车交通特性,并结合其交通特性对历史街区慢行交通服务水平进行评价。 首先,本文对历史街区和慢行交通进行综述,对历史街区的特点、慢行交通理念、慢行交通的特点进行了阐述。 然后,本文对历史街区慢行交通中的行人交通特性进行研究,主要研究内容包括历史街区中的行人构成,行人的静态和动态空间需求,行人到达历史街区的交通特征,行人的心理学特征,行人步幅步速特性及影响因素,行人交通流速度、密度、交通量在不同时间段和不同观测点的分布特性,历史街区路段内和交叉口交通流速度、密度和交通量三要素的模型。通过这些研究,得出了历史街区内行人步行从微观到宏观的交通特性。 其次,对历史街区自行车交通特性进行了研究,主要研究内容包括历史街区自行车到达的交通特征和速度特性,自行车流速度、密度和交通量在不同时间段和不同观测点的分布特性,自行车流速度、密度和交通量三要素之间的关系,路段内和交叉口的混合流对自行车流交通的干扰特性、路段和交叉口机非干扰的改善措施。通过这些研究,,得出了历史街区自行车交通特性进行了定性和定量的研究。 最后,结合历史街区行人和自行车交通特性的部分研究结果,构建历史街区慢行交通服务水平指标体系,结合层次分析法确定各指标的权重,并利用灰色定权聚类评价法构建了历史街区的慢行交通服务水平评价模型,结合实例验证后模型构建成立。 本文系统阐述了历史街区内慢行交通的特性,对研究历史街区慢行交通问题提供了较为完备的基础数据和定性结论,对解决历史街区慢行交通问题具有重要参考意义。
[Abstract]:Slow traffic is a kind of traffic mode which is based on walking and bicycle. It is the main choice for everyone to travel, and it is also "people-oriented". Green travel mode. Slow traffic under the special carrier of historical block has its unique traffic characteristics. The study of these characteristics of slow traffic system planning to solve the slow traffic problems in historical blocks. It is of great significance to popularize slow traffic in historical blocks. This paper mainly studies the pedestrian and bicycle traffic characteristics of historical blocks and evaluates the service level of slow traffic in historical blocks combined with their traffic characteristics. First of all, this paper summarizes the historical block and slow traffic, and expounds the characteristics of historical block, slow traffic concept and slow traffic. Then, this paper studies the pedestrian traffic characteristics in slow traffic in historical blocks, including pedestrian composition in historical blocks, static and dynamic spatial requirements of pedestrians. The traffic characteristics of pedestrians to historic blocks, the psychological characteristics of pedestrians, the characteristics of pedestrian walking speed and its influencing factors, the distribution characteristics of pedestrian traffic flow speed, density and traffic volume in different time periods and different observation points. The traffic flow velocity, density and traffic volume in historical blocks and intersections are modeled. Through these studies, the traffic characteristics of pedestrian walking in historical blocks from microscopic to macroscopic are obtained. Secondly, the traffic characteristics of bicycle in historical district are studied. The main research contents include the traffic characteristics and speed characteristics of bicycle arrival in historical block, and the speed of bicycle flow. The distribution characteristics of density and traffic volume in different time periods and different observation points, the relationship between bicycle flow velocity, density and traffic volume, and the interference characteristics of mixed flow between road sections and intersections to bicycle flow traffic. Through these studies, the qualitative and quantitative study on bicycle traffic characteristics of historic blocks is made. Finally, combined with the historical block pedestrian and bicycle traffic characteristics of some research results, build the historical block slow traffic service level index system, combined with the Analytic hierarchy process to determine the weight of each index. The evaluation model of slow traffic service level in historical blocks is constructed by using the grey weight clustering evaluation method, and the model is established after being verified by an example. This paper systematically describes the characteristics of slow traffic in historical blocks, and provides more complete basic data and qualitative conclusions for the study of slow traffic in historical blocks. It has important reference significance to solve the slow traffic problem of historical block.
【学位授予单位】:西安建筑科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:U491.1

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