Research of Parking Demand Forecast Model Based on Regional Development
Research of Parking Demand Forecast Model Based on Regional Development
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基于区域发展的停车需求预测模型研究
DOI：
10.1061/9780784412442.003
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Fei Han
中科院分区：
文献类型：
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作者：
Kun Chen;J. Wang;Fei Han
停车不足已成为城市发展的主要瓶颈。以往停车需求预测方法不准确的原因是对影响停车需求预测的因素考虑不充分，不利于普遍适用，导致预测误差较大等。利用调查数据，将停车需求分为劳动力停车需求和商业性停车需求，前者受就业的影响，后者主要受商业区停车需求和经济发展的影响。本文引入了区域发展因素的概念，停车需求预测充分考虑了经济、社会、交通等发展水平对不同地区停车需求的影响。作者利用发展因子对旅游吸引力模型进行了修正，并将其应用于两个中国地区。
The lack of adequate parking has become the major bottleneck of urban development. The reason for the inaccuracy of the past parking demand forecasting methods is the incomplete consideration of factors at work, which prevents universal applicability, leads to a large prediction error, and so on. Using survey data, parking demand was divided into labor parking demand, which is affected by employment, and commercial parking demand, which is mainly affected by commercial area parking demand and economic development. The paper introduces the concept of regional development factors, and the parking demand forecast takes full account of the economy, society, transportation, and other levels of development affecting parking demand in different regions. The authors use development factors to modify the trip attraction model and then apply it to two Chinese districts.