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Study On The Parking Demand Forecasting Model Introducing The Amount Of Travelling Vehicles

Posted on:2011-06-28Degree:MasterType:Thesis
Country:ChinaCandidate:H Y CaoFull Text:PDF
GTID:2212330341451172Subject:Bridge and tunnel project
Abstract/Summary:PDF Full Text Request
With the level of urban motorization raise up, the metropolitan dynamic and static traffic are faced with severe tests. Parking demand and supply abnormal sharply contradicted, static transport facilities planning and construction lagged behind, inefficient management tools and other issues had influencing degrees of impact on the city's normal operation of dynamic traffic and economic. Increasingly outstanding parking problems have gradually raised high people's attention. As one of the core content of solving the urban parking problems, parking demand forecasting is the premise and basis of reasonable static traffic planning.With the increase of the metropolitan motor vehicle population, the domestic traffic engineering researchers begun to study the parking demand since 1980s. The author has made the systematical analysis and comparison with research results at home and abroad in real earnest and pointed out the advantage and shortage of the various models and methods. And the author derived'parking demand forecasting model introducing the amount of travelling vehicles', with proceeding two characteristics of traffic flow theory including include dynamic and static and considering the influence of the motor vehicle population's increasing to the parking demand. On the basis, this paper discussed the measures and methods of the parking facilities planning and management.This paper has taken Qingdao City as example, demonstrated the applications of `parking demand forecasting model introducing the amount of travelling vehicles', and analyzed the parking problems in the city of Qingdao. On the basis, it has given the feasible suggestions to the Qingdao parking problems.
Keywords/Search Tags:Parking demand, Dynamic traffic, Static traffic, Motor vehicle population, Parking facilities planning and management
PDF Full Text Request
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