結(jié)合交通需求信息的介數(shù)中心度改進方法研究
發(fā)布時間:2018-06-19 11:23
本文選題:空間句法 + 城市道路網(wǎng); 參考:《西南交通大學》2017年碩士論文
【摘要】:城市道路網(wǎng)是城市道路交通的骨架和依托,對城市的正常運轉(zhuǎn)和發(fā)展起著重要的作用。以空間句法為首的空間分析理論認為,城市空間的布局形態(tài)會影響人的出行行為,城市道路網(wǎng)的拓撲結(jié)構(gòu)特性與道路交通流量存在著密切聯(lián)系。在已有研究中,學者們一直在嘗試尋找一個合適的結(jié)構(gòu)特性評價指標,它與路段流量有著較高的相關(guān)性,基于高相關(guān)性可以建立它和流量之間的關(guān)系模型,并用于交通規(guī)劃領(lǐng)域。介數(shù)中心度(betweenness centrality)一直被認為是建立該模型的理想指標,但研究表明包括介數(shù)中心度在內(nèi)的傳統(tǒng)結(jié)構(gòu)特性指標受其自身定義所限,無法合理地描述路段的流量特性。本文將研究重點聚焦于介數(shù)中心度的改進工作,期望能提出一個合適的結(jié)構(gòu)指標,主要研究內(nèi)容和工作如下:(1)本文首先對已有的城市道路網(wǎng)拓撲結(jié)構(gòu)抽象方法進行概述,分析了各方法的特點,并通過案例分析比較了路段法(road segment approach)和路線法(stroke approach)兩種方法對城市道路網(wǎng)的表達效果。根據(jù)分析結(jié)果,選擇路段法作為本文后續(xù)研究中的拓撲抽象方法。(2)從空間句法(space syntax)理論入手,本文分析了城市道路網(wǎng)及其內(nèi)部道路的結(jié)構(gòu)特性與流量之間的關(guān)系和影響機理。結(jié)合已有研究成果,本文分析并指出了介數(shù)中心度由其本身定義所致在描述流量時存在的局限。然后,針對性地引入交通需求信息(OD分布)對介數(shù)中心度進行改進,并給出了相應(yīng)的改進方法和算法實現(xiàn)。(3)通過對南京和舊金山兩個城市的出租車GPS數(shù)據(jù)處理,提取得到研究范圍內(nèi)各路段的出租車流量和相應(yīng)的出行需求信息(OD分布)。由此,本文計算得到兩個城市研究范圍內(nèi)各道路的改進指標值,并分析了路段的改進指標值與其出租車流量的相關(guān)性。結(jié)果顯示,對比傳統(tǒng)指標,本文所提改進指標與流量之間的相關(guān)性有著顯著的提升。最后,以南京市某日數(shù)據(jù)為例,根據(jù)改進指標值的分布情況對研究范圍內(nèi)的(出租車方式下的)需求和流量分布情況做了大致分析,并與觀測路段出租車流量分布情況做了比對。
[Abstract]:Urban road network is the skeleton and support of urban road traffic, which plays an important role in the normal operation and development of the city. The spatial analysis theory based on spatial syntax holds that the layout of urban space will affect the travel behavior of people and the topological structure of urban road network is closely related to the traffic flow. In the previous studies, scholars have been trying to find a suitable evaluation index of structural characteristics, which has a high correlation with the traffic flow. Based on the high correlation, the relationship between it and the flow can be established. And used in the field of traffic planning. The intermediate centrality is always regarded as an ideal index to establish the model. However, the study shows that the traditional structural characteristic index, including the centricity, is limited by its own definition, so it can not reasonably describe the flow characteristics of road sections. This paper focuses on the improvement of the centricity of the medium, and expects to put forward a suitable structural index. The main research contents and work are as follows: 1) firstly, the abstract methods of topological structure of urban road network are summarized in this paper. The characteristics of each method are analyzed, and the expression effect of road segment approach-route method on urban road network is compared by case study. Based on the results of the analysis, this paper chooses the section method as the topological abstract method in the following study of this paper. Starting with the space syntaxy theory, this paper analyzes the relationship and influence mechanism between the structural characteristics of urban road network and its internal roads and the volume of traffic. Combined with the existing research results, this paper analyzes and points out the limitations of the definition of the centricity of the medium in describing the flow. Then, the traffic demand information / OD distribution is introduced to improve the center of the medium, and the corresponding improved methods and algorithms are given to implement the GPS data processing of taxis in Nanjing and San Francisco. Extract the taxi flow and the corresponding travel demand information of each section of the study. Therefore, this paper calculates the improvement index values of each road in the study area of two cities, and analyzes the correlation between the improvement index value of the road section and the taxi flow. The results show that the correlation between the improved index and the flow rate is significantly improved compared with the traditional index. Finally, taking Nanjing as an example, according to the distribution of the improved index value, the distribution of demand and flow within the scope of the study (under the taxi mode) is analyzed roughly. And compared with the taxi traffic distribution of observation section.
【學位授予單位】:西南交通大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:U491
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