首页> 外文会议>Annual meeting of the transportation research board;Transportation Research Board >NEIGHBORHOOD AND REGIONAL EFFECTS ON TRIP DISPERSAL: A CASE STUDY USING DATA FROM THE 9 LARGEST METROPOLITAN REGIONS IN SWITZERLAND
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NEIGHBORHOOD AND REGIONAL EFFECTS ON TRIP DISPERSAL: A CASE STUDY USING DATA FROM THE 9 LARGEST METROPOLITAN REGIONS IN SWITZERLAND

机译:邻里和区域对旅行分散的影响:使用来自瑞士9个最大都市地区的数据进行的案例研究

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The effect of urban form variables on dispersal is explored using activity spaces generated from origin destinationdata on 60,000 Swiss residents living in metropolitan areas of varying size, density andpopulation. The diversity of locations enables us to distinguish the roles played by local and regionalvariations in land use. Parameters are estimated using ordinary least squares (OLS) and simultaneousequation model (SEM) regression analysis.Results indicate that neighborhood type has a large and significant effect on the dispersal of travel byresidents, whereas regional effects, found elsewhere to be very large, are quite small. Distance from thecore also has a significant impact on dispersal, but only in the first 8 km surrounding the city center. Ofthe other regional land use variables tested, very few were found to be significant predictors of dispersal,only proportion population within the inner metro area, employment center access and metropolitan areashape. Of note, neither metropolitan area nor population, which were hypothesized to have a significantimpact on dispersal, were found to be significant predictors. Finally, the hypothesis of endogeneity inexplanatory variables was investigated and rejected.These results indicate that policies aimed at developing dense and mixed urban settlements would carrywith them the beneficial effect of reducing travel dispersal, even if not built adjacent to the centralbusiness district.
机译:利用从始发地目的地生成的活动空间来探索城市形态变量对分散的影响 有关居住在大小,密度和人口不同的大都市地区的60,000瑞士居民的数据 人口。位置的多样性使我们能够区分本地和区域所扮演的角色 土地利用的变化。使用普通最小二乘法(OLS)和同时估计参数 方程模型(SEM)回归分析。 结果表明,邻里类型对出行的分散有很大且显着的影响。 居民,而在其他地方发现的区域影响却很小。距 核心区对分散也有重要影响,但仅在市中心周围的前8公里内。的 在测试的其他区域土地使用变量中,很少发现是分散的重要预测指标, 内城区,就业中心通道和大都市区中仅有比例的人口 形状。值得注意的是,都没有假设大都市区或人口 对分散的影响,被认为是重要的预测指标。最后,关于内生性的假说 解释变量被调查并被拒绝。 这些结果表明,旨在发展密集和混合的城市住区的政策将有助于 即使没有在中心附近建造,它们也具有减少旅行分散的有益效果 商业区。

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