本文選題：西安古城區(qū) + 可達(dá)性　； 參考：《西安建筑科技大學(xué)》2015年碩士論文

【摘要】：西安古城區(qū)作為古長(zhǎng)安城區(qū),現(xiàn)代化西安的核心區(qū)域,集中體現(xiàn)了西安的城市特色和古都風(fēng)貌。古城區(qū)的發(fā)展離不開(kāi)城市交通的合理規(guī)劃,而建立合理完善的古城區(qū)公共交通系統(tǒng)是協(xié)調(diào)古城區(qū)保護(hù)與發(fā)展間關(guān)系,促進(jìn)古城區(qū)可持續(xù)健康發(fā)展的重要舉措之一。西安古城區(qū)是指城市中心區(qū)內(nèi)明城墻所圍合的區(qū)域。本文以西安古城區(qū)常規(guī)公交為例,分析了古城區(qū)由于城市化進(jìn)程的不斷加快和城市功能的過(guò)度集中造成的公共交通問(wèn)題,提出對(duì)古城區(qū)公交線網(wǎng)進(jìn)行分層優(yōu)化的必要性。收集西安市208條公交線路1406個(gè)公交站點(diǎn)信息,利用matlab建立西安市公交復(fù)雜網(wǎng)絡(luò)模型,從公交站點(diǎn)網(wǎng)絡(luò)模型和公交換乘網(wǎng)絡(luò)模型兩方面利用Floyd算法求解任意兩站點(diǎn)的最短拓?fù)渚嚯x,并計(jì)算每個(gè)站點(diǎn)的最短路徑指數(shù)。選擇可達(dá)性作為公交站點(diǎn)等級(jí)劃分的依據(jù),將復(fù)雜網(wǎng)絡(luò)中介數(shù)的概念引入可達(dá)性度量方法,利用Ucinet軟件計(jì)算公交站點(diǎn)網(wǎng)絡(luò)模型和公交換乘網(wǎng)絡(luò)模型下的介數(shù)指標(biāo),建立改進(jìn)的可達(dá)性拓?fù)涠攘磕Ｐ�。并利用改進(jìn)后的可達(dá)性拓?fù)涠攘磕Ｐ陀?jì)算西安市公交站點(diǎn)的可達(dá)性指標(biāo)AI,以北院門(mén)、三學(xué)街、七賢莊三個(gè)歷史街區(qū)為例,研究古城區(qū)公交站點(diǎn)的可達(dá)性。使用SPSS軟件對(duì)古城區(qū)站點(diǎn)的可達(dá)性指標(biāo)AI進(jìn)行分析,將古城區(qū)公交站點(diǎn)依據(jù)可達(dá)性分為三類(lèi),并結(jié)合古城公交線路現(xiàn)狀對(duì)西安古城區(qū)公交線網(wǎng)進(jìn)行分層,并分析每層公交線網(wǎng)的特征。根據(jù)特征針對(duì)不同層次的公交線網(wǎng)制定不同的優(yōu)化目標(biāo),建立不同的優(yōu)化模型,利用蟻群算法,通過(guò)VC編程求解最優(yōu)線路集合,結(jié)合現(xiàn)狀古城區(qū)公交線網(wǎng)進(jìn)行調(diào)整,得到優(yōu)化調(diào)整后的古城公交主干線、古城公交次干線和古城公交支線。最后將換乘次數(shù)作為公共交通網(wǎng)絡(luò)的評(píng)價(jià)指標(biāo),對(duì)比優(yōu)化調(diào)整前后的公交線網(wǎng),證明經(jīng)過(guò)優(yōu)化調(diào)整,公交線網(wǎng)平均換乘次數(shù)下降,公交線網(wǎng)的運(yùn)營(yíng)效率和公交系統(tǒng)的服務(wù)水平得到提升。本研究得到《中西部歷史名城歷史街區(qū)空間保護(hù)與再造的交通運(yùn)輸規(guī)劃設(shè)計(jì)理論與方法研究》國(guó)家自然科學(xué)基金(NO.51278396)的資助。
[Abstract]:As an ancient Changan city, the core area of modern Xi'an embodies the city characteristics and ancient capital features of Xi'an. The development of ancient urban areas can not be separated from the rational planning of urban traffic, and the establishment of a reasonable and perfect public transport system in ancient urban areas is one of the important measures to coordinate the relationship between the protection and development of ancient urban areas and to promote the sustainable and healthy development of ancient urban areas. Xi'an ancient urban area refers to the area surrounded by Ming city walls in the central district of Xi'an. Taking the routine public transport in the ancient urban area of Xi'an as an example, this paper analyzes the public transportation problems caused by the accelerating urbanization process and the excessive concentration of the urban functions, and puts forward the necessity of the hierarchical optimization of the public transport network in the ancient urban area. Collect the information of 1406 bus stations on 208 bus lines in Xi'an, and use matlab to establish the complex network model of Xi'an public transportation. The shortest topological distance of any two stations is solved by Floyd algorithm from two aspects: bus station network model and bus transfer network model, and the shortest path index of each station is calculated. This paper selects reachability as the basis of bus station classification, introduces the concept of complex network intermediary number into the reachability measurement method, and calculates the intermediate index of bus station network model and bus transfer network model by using Ucinet software. An improved reachability topological metric model is established. Using the improved reachability topology model to calculate the reachability index of Xi'an bus station, such as the north courtyard gate, Sanxue street and Qixian Zhuang, as an example, the paper studies the reachability of the public transportation station in ancient urban area. By using SPSS software to analyze the accessibility index AI of the ancient urban area stations, the public transport stations in ancient urban areas are divided into three categories according to accessibility, and combined with the current situation of the ancient city bus lines, the traffic network of Xi'an ancient urban area is stratified. And analyze the characteristics of each layer of bus network. According to the characteristics of different levels of public transport network to formulate different optimization objectives, to establish different optimization models, using ant colony algorithm, through VC programming to solve the optimal line set, combined with the current situation of urban transit network adjustment. Get the optimized adjustment of the old city bus main line, the ancient city public transport sub-trunk line and the ancient city bus branch line. Finally, taking the transfer times as the evaluation index of the public transport network, comparing the bus network before and after the optimization adjustment, it is proved that the average number of transfer times of the public transport network decreases after the optimization adjustment. The operation efficiency of bus network and the service level of public transportation system have been improved. The research is supported by the National Natural Science Foundation of China (No. 51278396).
【學(xué)位授予單位】：西安建筑科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：U491.17

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本文編號(hào)：2038332