Title: AN URBAN TRANSPORTATION PLANNING MODEL FOR SHANGHAI - A CITY WITH RAPID ECONOMIC GROWTH AND URBAN DEVELOPMENT
Abstract: Shanghai, a major commercial and industrial city in China, has experienced tremendous economic growth in the last decade. This has led to rapid and extensive development in the urban and transportation systems. Under such fast changing conditions, it is difficult to effectively model people's travel demand characteristics over an extended period of time. This paper presents an urban transportation planning model recently developed in Shanghai. The model consists of a number of model elements with relatively simple structures. Such a model framework allows the authors to calibrate and update the model easily so that it can accommodate any major changes in transportation services and travel demand characteristics. The model considers various kinds of variables that can effectively reflect the regional economic growth as well as the urban and transportation development in Shanghai. The model is a sequential process consisting of trip generation, trip distribution, modal split and traffic assignment. A special feature of the model is a two-stage modal split process. The walk trips and personal motorized trips are determined before the trip distribution model. The rest of trips are split between bicycle and transit after the trip distribution model. The two-stage modal split process allows the model to separate different travel market segments with significantly different travel characteristics at the early stage of the modeling process. The model then handles the trips of various market segments with different model elements with appropriate model structures and variables. The model was developed based on the data collected in the travel and traffic surveys in 1995. This paper first describes the model framework, then the structures of individual model elements. It also discusses the calibration results of the model.
Publication Year: 2002
Publication Date: 2002-01-01
Language: en
Type: article
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot