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首页> 外文期刊>International journal of sustainable transportation >Continuum modeling approach to the spatial analysis of air quality and housing location choice
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Continuum modeling approach to the spatial analysis of air quality and housing location choice

机译：空气质量空间分析和房屋位置选择的连续模型方法

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摘要

Today, air pollution is a great issue, and the transport sector is an important emission source. In this study, we present an integrated land use, transport, and environment model in which transport-related pollutants are assumed to influence people's housing location choices, and a continuum modeling approach is applied. The pollutants generated by the transport sector are dispersed by the wind and they affect air quality. The air quality changes people's housing choices, which in turn changes their travel behavior. We assume that the road users are continuously distributed over the city, that the road network is relatively dense, and that this network can be approximated as a continuum. The total demand is categorized into several classes, and the modeled region contains several subdistricts. People who live in different subdistricts or who belong to different classes of commuters are assumed to have different perceptions of travel time, air quality, and the housing provision-demand relationship. The finite element method and the Newton-Raphson algorithm are adopted to solve this problem, and a numerical valuation is given to illustrate the effectiveness and efficiency of the proposed model.
机译：如今，空气污染已成为一个大问题，运输部门已成为重要的排放源。在这项研究中，我们提出了一个综合的土地利用，运输和环境模型，在该模型中，假设与运输有关的污染物会影响人们的住房位置选择，并采用连续模型方法。运输部门产生的污染物被风吹散，影响空气质量。空气质量改变了人们的住房选择，进而改变了他们的出行行为。我们假设道路用户在城市中连续分布，道路网络相对密集，并且该网络可以近似为一个连续体。总需求分为几类，建模区域包含几个分区。居住在不同街道或通勤者中的人被假定对旅行时间，空气质量和住房供求关系有不同的认识。采用有限元法和牛顿-拉夫森算法来解决该问题，并通过数值评估说明了该模型的有效性和有效性。

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