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The Urban Traffic Planning Of The Taxi

Posted on:2012-09-15Degree:MasterType:Thesis
Country:ChinaCandidate:X F WangFull Text:PDF
GTID:2249330395473509Subject:Operational Research and Cybernetics
Abstract/Summary:PDF Full Text Request
Along with our country economy the sustainable development of the urbanization, intensifies, travel grim situation, problems to be solved. Especially the taxi business, which is closely related to our daily life, work, and employment, it has become a big concern. In this paper a city taxi industry recession in the present situation, the mathematical model, and forecast the future urban citizens to travel and travel demand for a taxi, analyzes the optimal number of taxi, discussed the influence of oil prices on the operation, this paper puts forward the fare adjustment scheme, and the city’s taxi industry development planning.First of all, based on the city statistic, reference related literature material, the present situation of domestic and foreign similar analogy between city and development planning, established the multiple predictive regression model to predict the trip intensity, city residents by classical of the population growth model, and the prediction that the block the city in recent years, the population of the city residents to further travel of the total amount.Secondly, according to the requirements of the supply and demand balance taxi, according to the current the city taxi cab proportion of, get the number of people taking a taxi, and further for the optimal number of a taxi. Third, based on the current situation of the taxi trade, analysis of the citizens, by increasing the tourist travel to make up for the loss caused by the driver reduction, the goal programming, from before and after oil prices were discussed the driver and passengers degree of satisfaction, get to the driver and passengers are satisfied with the price adjustment scheme.Finally, according to the results and the taxi industry present situation, for the city’s public career management department taxi planning puts forward some rational Suggestions.
Keywords/Search Tags:Demand forecasting, Multiple Regression, S shaped curve, Satisfaction function
PDF Full Text Request
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