本文選題：組團城市　切入點：停車需求　出處：《重慶交通大學(xué)》2014年碩士論文

【摘要】：在我國城市土地資源高度緊缺和汽車保有量快速增長背景下，大多數(shù)城市停車供需矛盾日益突出，現(xiàn)有的停車設(shè)施已不能滿足人們?nèi)找嬖鲩L的停車需求�！巴＼囯y”等問題的解決迫在眉睫，，相關(guān)部門也開始著手城市停車規(guī)劃的研究。然而，要做好一個城市的停車規(guī)劃，就必須要對城市的停車需求進行準(zhǔn)確合理的預(yù)測。 組團城市利用“分散集中”的城市空間結(jié)構(gòu)，把城市交通流分散到各個組團，從根源上改變了城市形態(tài)和內(nèi)部相互作用關(guān)系，從而導(dǎo)致組團內(nèi)外出行分布特征的改變。停車需求源于交通出行，因此，停車需求也會隨之改變。 本文旨在從組團式空間結(jié)構(gòu)角度入手，在總結(jié)分析停車需求預(yù)測影響因素的基礎(chǔ)上，結(jié)合組團城市形態(tài)、密度、功能布局等空間結(jié)構(gòu)特性對停車需求分布的影響，探討建立基于區(qū)位優(yōu)勢的組團城市停車需求預(yù)測模型，為組團城市停車需求預(yù)測提供理論支撐和技術(shù)指導(dǎo)。主要包括以下幾個方面： 首先，系統(tǒng)回顧和總結(jié)了組團城市相關(guān)概念、形成機理及空間結(jié)構(gòu)特性，深入分析了組團城市的交通特性，在此基礎(chǔ)上以重慶市主城區(qū)調(diào)查數(shù)據(jù)為依托，闡述和總結(jié)了組團城市的停車需求特性。 其次，詳細分析了停車需求的影響因素，從交通出行的角度，結(jié)合重慶市主城區(qū)居民出行調(diào)查數(shù)據(jù)，總結(jié)分析空間結(jié)構(gòu)對停車需求分布的影響。之后，對常用停車需求預(yù)測方法進行了歸納總結(jié)，對比分析各類方法的適應(yīng)性和優(yōu)缺點，并將其與組團城市的適應(yīng)性進行分析。 最后，在分析現(xiàn)有區(qū)位理論模型的基礎(chǔ)上，建立了以交通優(yōu)勢（交通便捷度、路網(wǎng)結(jié)構(gòu)、道路服務(wù)水平）和綜合優(yōu)勢（土地開發(fā)利用強度、職住匹配度、配套設(shè)施完善度）作為量化指標(biāo)的區(qū)位優(yōu)勢模型。然后以停車產(chǎn)生率模型為基礎(chǔ)模型，針對不同用地類型分別利用不同優(yōu)化因子對其進行差異化修正，構(gòu)建了基于區(qū)位優(yōu)勢的組團城市停車需求預(yù)測優(yōu)化模型。即引入機動車增長率來優(yōu)化居住用地的停車需求；引入?yún)^(qū)位優(yōu)勢來量化組團空間結(jié)構(gòu)對商業(yè)金融等其它用地類型停車需求的影響。并采用重慶主城區(qū)停車調(diào)查數(shù)據(jù)和規(guī)劃相關(guān)數(shù)據(jù)對優(yōu)化模型進行參數(shù)標(biāo)定和應(yīng)用，驗證了優(yōu)化模型的實用性及合理性。
[Abstract]:Under the background of the high shortage of urban land resources and the rapid growth of vehicle ownership, the contradiction between supply and demand of parking in most cities is becoming increasingly prominent. The existing parking facilities can no longer meet the increasing demand for parking. It is urgent to solve the problems such as "parking difficulties", and the relevant departments have begun to study the urban parking planning. However, to do a good job of parking planning in a city, The parking demand of the city must be predicted accurately and reasonably. By using the "decentralized and centralized" urban spatial structure, the regiment cities disperse the urban traffic flow to the various groups, which changes the form of the city and the internal interaction relationship from the root. As a result, the characteristics of travel distribution inside and outside the group are changed. The parking demand is derived from the traffic travel, so the parking demand will change with it. The purpose of this paper is to analyze the influence factors of parking demand prediction from the angle of cluster spatial structure, and combine the spatial structure characteristics such as form, density and function layout of cluster city to influence the distribution of parking demand. In order to provide theoretical support and technical guidance for the prediction of parking demand of group cities, this paper discusses the establishment of a forecasting model of parking demand based on regional advantages. It mainly includes the following aspects:. First of all, the related concepts, formation mechanism and spatial structure characteristics of the regiment city are reviewed and summarized systematically, and the traffic characteristics of the regiment city are deeply analyzed, which is based on the survey data of Chongqing main urban area. The characteristics of parking demand of the tour city are expounded and summarized. Secondly, the influence factors of parking demand are analyzed in detail. From the point of view of traffic travel, combined with the survey data of residents in Chongqing's main urban area, the influence of spatial structure on parking demand distribution is summarized and analyzed. The common methods of parking demand prediction are summarized, the adaptability, advantages and disadvantages of these methods are compared and analyzed, and the adaptability of these methods is analyzed with that of group cities. Finally, on the basis of analyzing the existing location theory model, the paper establishes the traffic advantage (traffic convenience, road network structure, road service level) and the comprehensive advantage (land development and utilization intensity, occupation and housing matching degree). Then based on the parking production rate model, different optimization factors are used to modify different land types. In this paper, an optimization model of parking demand prediction based on location advantage is established, that is, the vehicle growth rate is introduced to optimize the parking demand of residential land. The location advantage is introduced to quantify the influence of cluster space structure on the parking demand of other land types, such as commercial finance, and the parameters of the optimization model are calibrated and applied by using the parking survey data and planning data of Chongqing main urban area. The practicability and rationality of the optimization model are verified.
【學(xué)位授予單位】：重慶交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.7

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