Moreover, successful rail transfer time reduction is more beneficial to travellers in comparison to the effect of increasing parking fees of private cars or increasing the average fare of taxi utilization. It is found that the bus priority policy for reducing the in-vehicle time of a bus trip has the greatest weighted generalized travel cost per capita for one trip in Beijing. These policies are concerned with parking fee, taxi average fare, bus priority and rail transfer time. In addition, different cases are studied to assess the effect of different transport policies for the improvement of urban transport in Beijing. The phase estimation method with the Newton-Raphson algorithm and the genetic algorithm are used to solve the optimization model. Based on a nest-logit model, an optimization model is developed for the minimal weighted generalized travel cost per capita for one trip. The main urban area of Beijing is taken as the study area of this research and the revealed preference survey method is utilized to get the trip survey data.
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Knowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. This study investigates the optimal mode-split for a developing megacity and optimizes the weighted generalized travel cost per capita for one trip on an urban transport network. This beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills - including Python, Git, and IT automation - that can help you advance your career. With the rapid development of economy and accelerated pace of urbanization in China, the trip share of private cars has been increasing continually.
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