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原文传递 Innovative Data Collection and Modeling Methods for Long-Distance Passenger Travel Demand Analysis.

题名：	Innovative Data Collection and Modeling Methods for Long-Distance Passenger Travel Demand Analysis.
作者：	Lu, Y.; Zhang, L.
关键词：	Data Collection; Implementation; Intermodal Transportation Systems; Legislation; Long Distance; Passenger Transportation; Population Growth; Public Transportation; Surveys; Travel Demand
摘要：	After the Intermodal Surface Transportation Efficiency Act was established in 1991, an increasing number of state highway agencies and federal agencies have started to develop and implement statewide or national travel demand models to meet policy and legislative development needs, and to predict the future travel demand. Up to date, more than 35 states have conducted modeling developments at statewide level (Cohen, Horowitz, & Pendyala, 2008; Giaimo & Schiffer, 2005; Horowitz, 2006, 2008; Souleyrette, Hans, & Pathak, 1996). However, a lack of up-to-date multimodal and inter-regional travel survey data hinders researchers or analysts ability to quantitatively conduct reliable and effective evaluation of long-distance travel infrastructure investment and management at statewide level. Meanwhile, in Europe travel demand modeling at national level has received more attention in the last two decades. From the perspective of geography and population size, the European national travel demand model, to an extent, can be taken to be a statewide model in the U.S. Among the efforts making on long-distance passenger travel modeling, the travel data collection is found to play a critical role in the success of the travel demand modeling at both statewide and national levels.
报告类型：	科技报告