Optimization Of Urban Land Use Pattern Based On Road Traffic Environment Load Factor

Motorized travel dominates as a means of transportation in cities due to its comfortability, ease access and nominal convenient. Thus, the transportation sector has become one of the major contributors of city encironmental pollutants and greenhouse gas emissions. Essentially, these environment conpacities are mainly determined by the traffic demand and driving characteristics, which are dominated by the urban land use pattern. Thus, it is significantly meaningful and decision supportive to analyze the impacts on environment capacity by urban land use pattern, as well as optimize the urban land use pattern under the constraint of minimizing the environment capacity.This dissertation focuses on following aspects:(1) Building up the progressive relationship of land use pattern, urban traffic demand and vehicle emission using the qualitative analysis mechanism.(2) Establishing a land use characteristic based model to estimate and predict the traffic origin and destination demand of each traffic analysis zone (TAZ). By embedding the proposed traffic demand estimation model to a traffic assignment framework, one can map the traffic demand to each link and calculate the related emission rate. In this way, the vehicle emission of each traffic analysis zone can be estimated.(3) Proposing an urban land use pattern optimization framework under the constraint of minimizing the urban transportation emission. Based on the field experiment of Dalian city in China,57 TAZ are carefully chosen as the optimization target. By comparing the land use pattern before the optimization and after the optimization, this study has some interesting findings, which are 1) the vehicle emission mitigation objective of some TAZ can be achieved by optimizing the neighboring TAZ; 2) the elasticity of each land use characteristic is different and the elasticity of land use intensity is strongly related with the elasticity of mix land use.