在总结目前流行的各种停车需求预测模型的基础上,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出发,建立了基于Box-Cox D og it的停车需求预测模型.针对模型的建立、参数标定以及推广计算过程进行了推导,并依...在总结目前流行的各种停车需求预测模型的基础上,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出发,建立了基于Box-Cox D og it的停车需求预测模型.针对模型的建立、参数标定以及推广计算过程进行了推导,并依附长沙市停车调查研究项目进行了实例分析.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.展开更多
This paper develops a new combined network equilibrium model by using more behaviorally sound mathematical forms to represent the four travel choices（i.e., trip frequency,destination, mode, and route） in a conventio...This paper develops a new combined network equilibrium model by using more behaviorally sound mathematical forms to represent the four travel choices（i.e., trip frequency,destination, mode, and route） in a conventional travel demand forecasting process. Trip frequency choice relates to the traveler decision on “making a trip” or “not making a trip”so it is given by a binary logit model. Destination choice is formulated as a parameterized dogit model of which the captivity parameters（expressed as functions of independent variables） allow individual travelers to be captive to specific destinations. Mode choice is given by a two-level nested logit model to avoid IIA restriction. Trip assignment is based on Wardrop＇s “user-optimized” principle. All model forms describing travel choices are in response to the level of services incurred by the transportation system. Through the introduction of inclusive values, the traveler decisions concerning trip frequency, destination, mode, and route choices are inherently interrelated and jointly determined.To obtain solutions of the new combined model, it was reformulated as an equivalent convex programming problem with linear constraints, a great advantage from the computational aspects. The model was applied empirically to a transportation network in New Jersey. The application results show that the new model is consistently better than the commonly used logit combined model in reproducing the observed trip flows from origin zones, origin to destination（O-D） trip flows, O-D trip flows by mode, and trip flows on the network links.展开更多
文摘在总结目前流行的各种停车需求预测模型的基础上,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出发,建立了基于Box-Cox D og it的停车需求预测模型.针对模型的建立、参数标定以及推广计算过程进行了推导,并依附长沙市停车调查研究项目进行了实例分析.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.
文摘This paper develops a new combined network equilibrium model by using more behaviorally sound mathematical forms to represent the four travel choices（i.e., trip frequency,destination, mode, and route） in a conventional travel demand forecasting process. Trip frequency choice relates to the traveler decision on “making a trip” or “not making a trip”so it is given by a binary logit model. Destination choice is formulated as a parameterized dogit model of which the captivity parameters（expressed as functions of independent variables） allow individual travelers to be captive to specific destinations. Mode choice is given by a two-level nested logit model to avoid IIA restriction. Trip assignment is based on Wardrop＇s “user-optimized” principle. All model forms describing travel choices are in response to the level of services incurred by the transportation system. Through the introduction of inclusive values, the traveler decisions concerning trip frequency, destination, mode, and route choices are inherently interrelated and jointly determined.To obtain solutions of the new combined model, it was reformulated as an equivalent convex programming problem with linear constraints, a great advantage from the computational aspects. The model was applied empirically to a transportation network in New Jersey. The application results show that the new model is consistently better than the commonly used logit combined model in reproducing the observed trip flows from origin zones, origin to destination（O-D） trip flows, O-D trip flows by mode, and trip flows on the network links.
