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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:基于大规模活动的微观模拟模型中的家庭住所地理位置分布和行车里程的高清空间分布的开发

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This paper presents a methodology to distribute the Traffic Analysis Zone (TAZ) levelsynthesized households and their members to parcels according to the household andparcel attributes. Three Multinomial Logit (MNL) models are estimated to represent theresidence 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 householdtypes. The estimated models are then used in an algorithm that assigns households tolocations in the Los Angeles County. Daily Vehicle Miles Traveled (VMT) of eachhousehold are assigned in this way to the parcel the household is assigned using thealgorithm. The method illustrated here shows the feasibility of doing this assignmentusing millions of parcels and households. It also shows that the results are reasonableand that it is possible to estimate VMT at specific locations and for spatially disaggregatejurisdictions, enabling the assessment of VMT responsibility and associated policies atvery fine levels of resolution. In addition, our findings and related maps challenge theclaim that central city residents travel less miles and suburban residents travel more.
机译:本文提出了一种分配流量分析区域(TAZ)级别的方法 合成家庭及其成员根据家庭和 宗地属性。估计了三个多项式Lo​​git(MNL)模型来表示 住所和土地的住所协会,单人一组, 两个或两个以上不带小孩的家庭,两个或两个以上不带小孩的家庭 类型。然后,将估计的模型用于将住户分配给家庭的算法中。 洛杉矶县的位置。每个车辆的每日行驶里程(VMT) 以这种方式将住户分配给使用以下方式分配的包裹: 算法。此处说明的方法显示了执行此分配的可行性 使用数以百万计的包裹和家庭。这也表明结果是合理的 并且可以估计特定位置的VMT并进行空间分解 司法管辖区,从而可以评估VMT责任和相关政策 极高的分辨率。此外,我们的发现和相关地图也挑战了 声称中心城市居民出行较少,郊区居民出行较多。

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