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Residential Geolocation of Households in a Large-Scale Activity-based Microsimulation Model and Development of a High Definition Spatial Distribution of Vehicle Miles Traveled

机译:基于大规模的活动的户籍的住宅地理位置微仿模型和高清空间分布的高清空间分布

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This paper presents a methodology to distribute the Traffic Analysis Zone (TAZ) level synthesized households and their members to parcels according to the household and parcel attributes. Three Multinomial Logit (MNL) models are estimated to represent the residence location association of households and land parcels, one each for single person, two persons or more without children, and two persons or more with children household types. The estimated models are then used in an algorithm that assigns households to locations in the Los Angeles County. Daily Vehicle Miles Traveled (VMT) of each household are assigned in this way to the parcel the household is assigned using the algorithm. The method illustrated here shows the feasibility of doing this assignment using millions of parcels and households. It also shows that the results are reasonable and that it is possible to estimate VMT at specific locations and for spatially disaggregate jurisdictions, enabling the assessment of VMT responsibility and associated policies at very fine levels of resolution. In addition, our findings and related maps challenge the claim that central city residents travel less miles and suburban residents travel more.
机译:本文提出了一种方法,根据家庭和包裹属性将交通分析区(TAZ)综合户口及其成员分配给包裹。三多项式Lo​​git(MNL)模型估计占农户和地块的户籍所在地的关联,每一个单人,两人或以上无子女,和两个人或以上儿童家庭类型。然后将估计的模型用于将家庭分配到洛杉矶县的地点的算法中。每户的每日车辆数英里(VMT)都以这种方式分配给包裹的包裹使用该算法分配。这里说明的方法显示了使用数百万包裹和家庭进行此任务的可行性。它还表明,结果是合理的,并且可以在特定位置估计VMT,并且用于空间分解司法管辖区,从而可以在非常精细的分辨率水平下评估VMT责任和相关政策。此外,我们的调查结果和相关地图挑战了中央城市居民越来越少的居民旅行的索赔。

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