基于网络分析方法的沪昆高铁对江西省沿线城市中心性影响研究
本文选题:网络 + 沪昆高铁 ; 参考:《江西师范大学》2017年硕士论文
【摘要】:城市的发展与交通运输网络息息相关,高铁作为交通行业革命性的运输工具,它的开通不仅改变了空间的通达性和城市之间的联系,而且推动了沿线城市交通网络结构的演变。理解城市在网络中的地位,分析高铁网络与城市中心性的关系,有助于优化交通网络布局及促进城市发展。本研究以沪昆高铁为例,以江西省11个沿线城市为研究对象,首先基于最短交通时间计算普铁与高铁网络下城市的邻近性,对比分析沪昆高铁对江西省沿线城市邻近性的影响;其次通过网络分析工具计算高铁有无情境下城市的中介性,分析沪昆高铁对江西省沿线城市中介性的影响程度。研究结果表明:(1)高铁与普铁网络下的邻近性比较中,沪昆高铁网络下江西段11个沿线城市的邻近性有较大的提高,各城市加强了与其他城市的空间联系,但邻近性的差距也在拉大,南昌市、鹰潭市、抚州市处于交通网络的中心区域,邻近性较高,具备良好的区位优势。各城市的邻近性变化率中,南昌市、抚州市的变化率较高,分别为226%与180%;鹰潭市的变化率最低,为120%。与普铁网络下的邻近性相比,沪昆高铁网络下的鹰潭市邻近中心地位显著下降。(2)有高铁与无高铁网络下的城市中介性相差不明显,但11个沿线城市的中介性相差显著,南昌市处于绝对的交通枢纽地位,鹰潭市、上饶市稍弱。从中介性的变化程度上看,变化率较高的城市为玉山县、弋阳县,分别为0.5%与0.35%。较低的城市为南昌市、新余市,变化率均在0.04%以下。南昌市与鹰潭市的交通网络密集,相比交通网络较稀疏的弋阳县、玉山县,中介性变化率要低。从空间分布上看,沪昆高铁江西段的东部城市比西部城市的中介性变化率更高。(3)沪昆高铁网络下11个沿线城市的邻近性与中介性相关性较低,反映了两个中心性指标衡量了城市在网络中的不同特点,邻近性反映了一个城市到其他城市的便捷程度,邻近性高的城市表明在交通网络中占有区位优势;中介性衡量了一个城市交通网络的中转的能力,高的中介性表明该城市是重要的交通枢纽,南昌市与鹰潭市在两种中心性指标中占有明显优势。
[Abstract]:The development of the city is closely related to the transportation network. As a revolutionary means of transportation, the opening of high-speed rail not only changes the accessibility of space and the relationship between cities, but also promotes the evolution of urban traffic network structure along the line. Understanding the status of the city in the network and analyzing the relationship between the high-speed rail network and the city-center will help to optimize the distribution of the traffic network and promote the development of the city. This study takes Shanghai-Kunming high-speed railway as an example, and takes 11 cities along Jiangxi Province as the research object. Firstly, based on the shortest traffic time, the proximity of cities under the common railway and high-speed rail network is calculated, and the influence of Shanghai-Kunming high-speed rail on the proximity of cities along Jiangxi Province is compared and analyzed. Secondly, the network analysis tools are used to calculate the urban intermediation in the context of high-speed rail, and to analyze the influence of Shanghai-Kunming high-speed rail on the intermediary nature of cities along Jiangxi Province. The results show that the proximity of 11 cities along the Jiangxi section under the Shanghai-Kunming high-speed rail network has been greatly improved compared with the proximity of the common rail network, and each city has strengthened its spatial links with other cities. However, the gap of proximity is also widening. Nanchang, Yingtan and Fuzhou are in the center of traffic network. Among the cities, Nanchang city and Fuzhou city have higher change rate, 226% and 180%, respectively, and Yingtan city has the lowest change rate (120g). Compared with the proximity under the ordinary railway network, the proximity of Yingtan city under the Shanghai-Kunming high-speed rail network has a significant decline. (2) there is no significant difference between the urban intermediation of the high-speed rail network and that of the city without the high-speed rail network, but there is a significant difference in the intermediation between the 11 cities along the railway line. Nanchang City is in an absolute transportation hub position, Yingtan City, Shangrao slightly weak. In terms of the degree of intermediary change, the cities with higher rate of change were Yushan County and Yiyang County, which were 0.5% and 0.35%, respectively. The lower cities are Nanchang city and Xinyu city, the change rate is below 0.04%. Compared with Yiyang county and Yushan county, the traffic network of Nanchang city and Yingtan city is dense, and the rate of intermediary change is lower than that of Yiyang county and Yushan county. From the spatial distribution point of view, the intermediary change rate of the eastern cities in the Jiangxi section of the Shanghai-Kunming high-speed railway is higher than that of the western cities.) the proximity and the intermediation of the 11 cities along the Shanghai-Kunming high-speed railway network are lower than those of the western cities. It reflects two central indicators to measure the different characteristics of the city in the network, proximity reflects the convenience of one city to other cities, and the city with high proximity shows the location advantage in the traffic network. Intermediary measures the ability of transit of a city's traffic network. The high intermediation indicates that the city is an important transportation hub. Nanchang city and Yingtan city have obvious advantages in the two kinds of central indexes.
【学位授予单位】:江西师范大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:F532.8;F299.27
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