城市中央商业区建筑停车泊位供需预测模型及应用研究
发布时间：2018-11-10 16:50
【摘要】：随着机动车保有量的不断增加,城市泊车车辆与泊车位的供需矛盾日趋严峻,停车逐渐成为继城市交通拥堵后的又一难题。作为城市交通系统的重要组成部分,规范有序合理的停车环境不仅是保障停车便捷与行驶畅通的基础,也是影响机动车保有量和上路行驶的重要因素,更是支撑和引导城市空间结构优化、提升市民生产生活水平的主要环节。停车难、停车乱等现象不仅对正常的道路通行空间和通行秩序造成干扰,还对交通安全带来隐患,更对商业区、金融区等城市公共重点地区的发展活力带来负面作用,影响着区域的社会经济繁荣。数据表明,在机动车快速增长的背景下,城市中各建筑物泊车位仅占城市总泊车位的一半以上。近年来,昆明正处于经济快速增长时期,对商业区土地增值的要求膨胀,作为城市经济核心区域的中央商业区(Central Business District,简称CBD),必然成为城市核心区域的重要停车吸引点,所以城市中央商业区(CBD)建筑停车泊位设置问题已成为解决城市核心区域停车问题的关键所在,因此研究城市中央商业区(CBD)停车泊位设置问题,就显得尤为必要和迫切。虽然停车需求预测在许多大中型城市进行过不少研究,但也由于地域不同,城市经济和形态发展不同,停车泊位设置的预测模型也不尽相同,且在计算方法上也存在较大的差异。在比较和分析了国内和国外现阶段常用的停车需求研究方法后,本论文首先分析了城市中央商业区(CBD)建筑停车的特点,结合这一特点,选用了停车生成率模型为理论基础,加入了CBD区域内各不同功能的建筑在高峰时段下的平均泊车周转率平均值及预测的机动车保有量增长率这两项因素对停车生成率模型进行了修正。本论文根据停车需求的特性,给出了几种方法下的停车需求预测方法及模型分析,并且结合了一定道路网容量、当地人口密度下停车需求模型的调整以及根据需求和供给平衡的停车模型进行讨论,同时通过分析交通区位特性理论,提出停车供给政策。最后,本论文以昆明市中央商业区顺城王府井百货购物中心为例,运用所研究的模型推算出该购物中心配建的机动车停车泊位设置结果与实际情况进行对比,最后评价该模型的准确性和有效性。
[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.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.7
本文编号：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.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.7
【参考文献】
相关期刊论文 前1条
1 王丰元,陈荫三,宋年秀;交通需求管理及其在中国的应用[J];交通运输工程学报;2002年02期
，本文编号：2323011
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