基于路網(wǎng)容量的城市中心區(qū)停車(chē)場(chǎng)合理規(guī)模研究
[Abstract]:With the rapid growth of urban economy, people rely more and more on vehicle travel, which not only leads to the increase of the number of urban motor vehicles, but also promotes the increase of people's travel times, which brings difficulties to the urban road traffic system. Also causes the city parking question to become the difficult problem which has to face. Especially in the urban center, the shortage of land resources accelerates the growth of vehicles and parking. With the increasing awareness of urban traffic system and parking planning, more and more attention has been paid to the influence of the network capacity of urban road network on regional parking scale. In view of this, this paper takes the reasonable parking scale of the central district as the research object, analyzes the influence of the road network capacity on the reasonable parking scale of the urban center area, and carries out the research on the reasonable scale of the regional parking lot based on the network capacity. Firstly, the paper redefines the network capacity of urban center area by theoretical analysis of urban center area and road network capacity. According to the characteristics of the network capacity in the central district, the influence factors of the network capacity in the central area and the influence of the new parking on the capacity of the road network are analyzed. The calculation model of the network capacity is established on the basis of the space-time consumption method. The calculation accuracy of network capacity is improved. Then, it analyzes the classification of parking area, the definition and behavior characteristics of parking demand, summarizes the characteristics of parking demand in urban center area, and analyzes the parking characteristic index in detail. On this basis, the influencing factors of parking demand are analyzed, and the mechanism of the influence of road network capacity on the parking lot scale in central area is analyzed. Then, on the basis of analyzing all kinds of parking demand forecasting models, the parking scale of urban center district is predicted by the method of classification. Through the weighted processing of car growth rate and economic growth rate, the average growth rate of special parking lot is obtained, and the average growth rate method is used to predict the scale of special parking lot in urban center area. The traffic volume model based on OD is selected as the basic model to predict the scale of public parking lot. Under the constraint of traversing traffic influence factors, the forecast model of parking demand of public parking lot is established by adding the influence factor of road network capacity. The average growth rate of the peak hour parking and the ratio of the 30th place parking demand to the annual average parking demand are used to modify the model. Based on the analysis of the main influencing factors of the on-street parking lot, the average growth rate of the on-street parking spaces over the years is used to predict the in-road parking lot size in the central district of the city. Finally, a reasonable parking scale model based on network capacity is established. Then, by analyzing the principle of establishing evaluation index and the evaluation index of existing parking lot planning, adopting the relevant principles and methods of system engineering, the evaluation index system for the forecast result is established, and the fuzzy mathematics theory is used. Comparative analysis and analytic hierarchy process (AHP) are used to establish a hierarchy model of parking prediction accuracy to evaluate the prediction results. Finally, taking Chongqing Guanyinqiao commercial district as an example, the paper analyzes the parking problem of Guanyinqiao commercial district, and uses the reasonable parking scale model based on network capacity to predict and verify the accuracy of the model. It provides a better basis for the prediction of parking scale in the future.
【學(xué)位授予單位】:重慶交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類(lèi)號(hào)】:U491.7
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