基于Box-Cox Dogit停车需求预测模型
首发时间:2005-06-27
摘要:本文首先系统总结了目前流行的各种停车需求预测模型。然后根据非集计方法中的随机效用理论,从停车需求是由居民出行引起的基本思想,建立了基于Box-Cox Dogit的停车需求预测模型。文章针对模型的建立、参数标定以及推广计算过程进行了详细的推导,并进行了实例分析。此模型可应用于预测规划区域总的停车需求、不同车型的停车需求和小区内各个停车场的停车需求。
关键词: 停车需求 预测模型 非集计方法 Box-Cox Dogit模型
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Parking Demand Forecasting Model Based on Box-Cox Dogit
Abstract:Firstly,this paper summarizes and compares varieties of prevalent parking demand forecasting models.Then,according to Random Utility Theory of disaggregate method and the idea which parking demand is begot by person trip,a parking demand forecasting model based on Box-Cox Dogit is established.Finally,the article deduces the foundation of model,the demarcation of parameter and the process of patulous calculate on detail.This technique is introduced with a example of ChangSha.The model can be applied in the parking demand forecasting of planning area,different vehicle type and every parking lot in the dividing borough.
Keywords: parking demand;forecasting model;disaggregate method;Box-Cox Dogit
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