Identifying Skeletal Information of Activity Patterns by Multidimensional Sequence Alignment
Identifying Skeletal Information of Activity Patterns by Multidimensional Sequence Alignment
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DOI：
10.3141/2021-10
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发表时间：
2007-01
影响因子：
1.7
通讯作者：
C. Joh;T. Arentze;H. Timmermans
中科院分区：
文献类型：
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作者：
C. Joh;T. Arentze;H. Timmermans
串比对技术被引入生物学中来测量DNA字符串或蛋白质序列之间的相似性，并在旅行行为研究中得到越来越多的应用，以分析活动-旅行模式。本文探索了一种方法，通过使用作者开发的多维线对齐技术来识别多维活动模式中的公共元素，即骨架。该方法识别组的多维活动模式的骨架信息，并描述应用于活动日记集的结果。分析揭示了活动模式中的结构模式，以及男性和女性之间可以很好解释的模式差异。该方法为活动分析提供了一种很有前途的方法。
String-alignment techniques, which were introduced in biology to measure similarity between DNA strings or protein sequences, find increasing application in travel behavior research to analyze activity-travel patterns. This paper explores a method to identify common elements, referred to as skeletons, in multidimensional activity patterns by using a multidimensional string-alignment technique that the authors developed. The method identifies the skeletal information of the multidimensional activity patterns of a group and describes the results of an application to an activity diary set. The analysis reveals structural patterns in the activity patterns and well-interpretable differences in patterns between males and females. The method offers a promising approach to activity analysis.