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首页> 外文会议>9th World conference on transport research (9th WCTR) >SYTHESISING POPULATION DATA: THESPECIFICATION AND GENERATION OFSYNTHETIC HOUSEHOLDS IN TRESIS2.0
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SYTHESISING POPULATION DATA: THESPECIFICATION AND GENERATION OFSYNTHETIC HOUSEHOLDS IN TRESIS2.0

机译：合成人口数据：TRESIS2.0中合成家庭的规范和生成

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This paper develops an alternative procedure for the construction of synthetic households asimplemented in TRESIS2.0, a Transportation, Land Use and Environmental Strategy ImpactSimulator for Urban Areas developed by the Institute of Transport Studies at the University ofSydney (Hensher and Ton, in press). To give TRESIS locational generality the applicationprocess is equivalent to ‘dropping’ a sample of households into an urban area, each suchhousehold being described by a bundle of socio-economic and demographic characteristics.These characteristics are influences in the suite of utility expressions representing the set oftravel, locational and vehicle behavioural choice models. Together with the predefinedtransport network, dwelling type prices, automobile attributes and the physical zone system,the characteristics of each synthetic household are used to derive the full set of behaviouralchoice probabilities for the set of travel, locational and vehicle choices and predictions ofvehicle use. Each synthetic household carries a weight that represents its contribution to thetotal population of households. Through time TRESIS carries forward the base year weightsor, alternatively, modifies the weights to represent the changing composition of households inthe population. The paper begins by identifying the appeal of synthetic households as a basisof capturing behavioural response. It is followed by a description of the specification andgeneration of synthetic households. Development of 401 synthetic households to represent1,499,200 Sydney households is used as an example to illustrate the process.
机译：本文为悉尼大学交通研究学院开发的TRESIS2.0（城市交通，土地使用和环境战略影响模拟器）开发了一种替代的合成家庭建设程序（由Hensher和Ton出版）。为了使TRESIS具有位置通用性，申请过程等同于将样本家庭``滴入''城市地区，每个此类家庭都由一整套社会经济和人口特征来描述，这些特征受到代表该集合的效用表达式套件的影响旅行，位置和车辆行为选择模型。结合预定义的运输网络，住宅类型价格，汽车属性和物理区域系统，每个合成家庭的特征都可用于得出针对行进，位置和车辆选择以及车辆使用预测的整套行为选择概率。每个合成家庭的权重代表其对家庭总人口的贡献。在整个时间里，TRESIS会延续基准年的权重，或者，修改权重以代表人口中住户组成的变化。本文首先确定了合成家庭的吸引力，以此作为捕捉行为反应的基础。接下来是对合成家庭规格和世代的描述。以发展代表401个悉尼家庭的401个合成家庭为例来说明这一过程。

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