作者: Nico Kuehnel , Dominik Ziemke , Rolf Moeckel , Kai Nagel
DOI: 10.1016/J.JTRANGEO.2020.102862
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摘要: Abstract To reduce inaccuracies due to insufficient spatial resolution of models, it has been suggested use smaller raster cells instead larger zones. Increasing the number zones, however, increases size a matrix store travel times, called skim tables in transport modeling. Those become difficult create, and read, while most origin-destination pairs are calculated stored but never used. At same time, such approaches do not solve lack temporal resolution. This paper analyzes personalized times at finest possible (at x/y coordinates) detailed for synthetic agents. The approach is tested context an existing integrated land use/transport model (ILUT) where affect, among others, household relocation decisions. In this paper, person-level individual compared traditional skim-based identify extent errors caused by aggregation how they affect decisions model. It was shown that fail capture variations available microscopic scale agent-based ILUT Skims may provide acceptable averages car if dense network small zones Transit suffer from skims. When analyzing travel-time-dependent model, transit captive households tend react more sensitively level service when findings add literature quantification biases models present novel overcome them. presented methodology eliminates impact chosen zone system on results, thereby, avoids modifiable unit problem.