城市中央商業(yè)區(qū)建筑停車泊位供需預測模型及應用研究
發(fā)布時間：2018-11-10 16:50
【摘要】：隨著機動車保有量的不斷增加,城市泊車車輛與泊車位的供需矛盾日趨嚴峻,停車逐漸成為繼城市交通擁堵后的又一難題。作為城市交通系統(tǒng)的重要組成部分,規(guī)范有序合理的停車環(huán)境不僅是保障停車便捷與行駛暢通的基礎,也是影響機動車保有量和上路行駛的重要因素,更是支撐和引導城市空間結構優(yōu)化、提升市民生產生活水平的主要環(huán)節(jié)。停車難、停車亂等現(xiàn)象不僅對正常的道路通行空間和通行秩序造成干擾,還對交通安全帶來隱患,更對商業(yè)區(qū)、金融區(qū)等城市公共重點地區(qū)的發(fā)展活力帶來負面作用,影響著區(qū)域的社會經濟繁榮。數據表明,在機動車快速增長的背景下,城市中各建筑物泊車位僅占城市總泊車位的一半以上。近年來,昆明正處于經濟快速增長時期,對商業(yè)區(qū)土地增值的要求膨脹,作為城市經濟核心區(qū)域的中央商業(yè)區(qū)(Central Business District,簡稱CBD),必然成為城市核心區(qū)域的重要停車吸引點,所以城市中央商業(yè)區(qū)(CBD)建筑停車泊位設置問題已成為解決城市核心區(qū)域停車問題的關鍵所在,因此研究城市中央商業(yè)區(qū)(CBD)停車泊位設置問題,就顯得尤為必要和迫切。雖然停車需求預測在許多大中型城市進行過不少研究,但也由于地域不同,城市經濟和形態(tài)發(fā)展不同,停車泊位設置的預測模型也不盡相同,且在計算方法上也存在較大的差異。在比較和分析了國內和國外現(xiàn)階段常用的停車需求研究方法后,本論文首先分析了城市中央商業(yè)區(qū)(CBD)建筑停車的特點,結合這一特點,選用了停車生成率模型為理論基礎,加入了CBD區(qū)域內各不同功能的建筑在高峰時段下的平均泊車周轉率平均值及預測的機動車保有量增長率這兩項因素對停車生成率模型進行了修正。本論文根據停車需求的特性,給出了幾種方法下的停車需求預測方法及模型分析,并且結合了一定道路網容量、當地人口密度下停車需求模型的調整以及根據需求和供給平衡的停車模型進行討論,同時通過分析交通區(qū)位特性理論,提出停車供給政策。最后,本論文以昆明市中央商業(yè)區(qū)順城王府井百貨購物中心為例,運用所研究的模型推算出該購物中心配建的機動車停車泊位設置結果與實際情況進行對比,最后評價該模型的準確性和有效性。
[Abstract]:With the increasing number of motor vehicles, the contradiction between the supply and demand of parking vehicles and parking spaces is becoming more and more serious. Parking has become another problem after the urban traffic congestion. As an important part of the urban traffic system, a standardized and orderly parking environment is not only the basis for convenient parking and smooth running, but also an important factor affecting the vehicle ownership and driving on the road. It is also the main link to support and guide the optimization of urban spatial structure and improve the production and living standard of citizens. Parking difficulties, parking chaos and other phenomena not only interfere with the normal road traffic space and traffic order, but also bring hidden dangers to traffic safety, but also bring negative effects to the development vitality of urban public key areas such as business district, financial district, etc. It affects the social and economic prosperity of the region. The data show that under the background of the rapid growth of motor vehicles, the parking spaces of the buildings in cities only account for more than half of the total parking spaces in the cities. In recent years, Kunming is in the period of rapid economic growth, and the demand for land increment in commercial district is expanding. As the central commercial district of urban economic core area, (Central Business District, for short CBD), is bound to become an important parking attraction point of urban core area. So the problem of parking berth in (CBD) building in central commercial district of city has become the key to solve the parking problem in core area of city. Therefore, it is necessary and urgent to study the problem of parking space in (CBD) in central commercial district of city. Although parking demand forecasting has been studied in many large and medium-sized cities, but also because of different regions, different economic and morphological development of the city, parking berth prediction models are also different. There is also a great difference in calculation methods. After comparing and analyzing the common parking demand research methods at home and abroad, this paper firstly analyzes the parking characteristics of (CBD) building in the central commercial district of the city. Combined with this characteristic, the parking generation rate model is selected as the theoretical basis. The parking rate model is modified by adding the average parking turnover rate and the predicted growth rate of vehicle ownership of buildings with different functions in the CBD region during the peak hours. According to the characteristics of parking demand, this paper gives several methods of parking demand prediction and model analysis, and combines with a certain capacity of road network. The adjustment of parking demand model under local population density and the parking model based on the balance of demand and supply are discussed. At the same time, the parking supply policy is put forward by analyzing the theory of traffic location characteristics. Finally, taking the Shuncheng Wangfujing department store shopping center in central commercial district of Kunming as an example, using the model studied, the paper calculates the result of setting up the parking berth of the motor vehicle in the shopping center and compares the actual situation with the actual situation. Finally, the accuracy and validity of the model are evaluated.
【學位授予單位】：重慶交通大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U491.7
本文編號：2323011
[Abstract]:With the increasing number of motor vehicles, the contradiction between the supply and demand of parking vehicles and parking spaces is becoming more and more serious. Parking has become another problem after the urban traffic congestion. As an important part of the urban traffic system, a standardized and orderly parking environment is not only the basis for convenient parking and smooth running, but also an important factor affecting the vehicle ownership and driving on the road. It is also the main link to support and guide the optimization of urban spatial structure and improve the production and living standard of citizens. Parking difficulties, parking chaos and other phenomena not only interfere with the normal road traffic space and traffic order, but also bring hidden dangers to traffic safety, but also bring negative effects to the development vitality of urban public key areas such as business district, financial district, etc. It affects the social and economic prosperity of the region. The data show that under the background of the rapid growth of motor vehicles, the parking spaces of the buildings in cities only account for more than half of the total parking spaces in the cities. In recent years, Kunming is in the period of rapid economic growth, and the demand for land increment in commercial district is expanding. As the central commercial district of urban economic core area, (Central Business District, for short CBD), is bound to become an important parking attraction point of urban core area. So the problem of parking berth in (CBD) building in central commercial district of city has become the key to solve the parking problem in core area of city. Therefore, it is necessary and urgent to study the problem of parking space in (CBD) in central commercial district of city. Although parking demand forecasting has been studied in many large and medium-sized cities, but also because of different regions, different economic and morphological development of the city, parking berth prediction models are also different. There is also a great difference in calculation methods. After comparing and analyzing the common parking demand research methods at home and abroad, this paper firstly analyzes the parking characteristics of (CBD) building in the central commercial district of the city. Combined with this characteristic, the parking generation rate model is selected as the theoretical basis. The parking rate model is modified by adding the average parking turnover rate and the predicted growth rate of vehicle ownership of buildings with different functions in the CBD region during the peak hours. According to the characteristics of parking demand, this paper gives several methods of parking demand prediction and model analysis, and combines with a certain capacity of road network. The adjustment of parking demand model under local population density and the parking model based on the balance of demand and supply are discussed. At the same time, the parking supply policy is put forward by analyzing the theory of traffic location characteristics. Finally, taking the Shuncheng Wangfujing department store shopping center in central commercial district of Kunming as an example, using the model studied, the paper calculates the result of setting up the parking berth of the motor vehicle in the shopping center and compares the actual situation with the actual situation. Finally, the accuracy and validity of the model are evaluated.
【學位授予單位】：重慶交通大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U491.7
【參考文獻】
相關期刊論文 前1條
1 王豐元,陳蔭三,宋年秀;交通需求管理及其在中國的應用[J];交通運輸工程學報;2002年02期
，本文編號：2323011
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