Development of Computational Methods for the Optimal Design of Land Use and Transportation Policies

本研究将土地利用的城市经济理论与交通网络均衡模型相结合，在此综合模型的基础上，发展了系统的城市与交通政策定量设计的计算优化方法。我们研究了线性随机效用函数模型的数学性质，并在严格的数学规划框架下开发了优化方法。具体而言，开发了优化算法，用于定量设计城市和交通政策，包括交通拥堵费，城市土地利用调节措施，如容积率调节。

This research combined the urban economic theory on land use with the traffic network equilibrium model, and, based on such an integrated model, developed systematic computational optimization methods for the quantitative design of urban and transportation policies. We studied the mathematical properties of the model with linear random utility functions, and developed optimization methods in the rigorous framework of mathematical programming. Specifically, optimization algorithms were developed for the quantitative design of urban and transportation policies including traffic congestion charge, urban land use regulation measures such as floor area ratio regulation.