Structuring Mobility Transition With an Adaptive Graph Representation

Structuring Mobility Transition With an Adaptive Graph Representation
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使用自适应图表示构建移动过渡

DOI:
10.1109/tcss.2018.2858439
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发表时间:
2018-08
影响因子:
5
通讯作者:
Liang Chang
Liang Chang
中科院分区:
计算机科学2区
文献类型:
--
作者:
Gu Tianlong;Minfeng Zhu;Wei Chen;Zhaosong Huang;Ross Maciejewski;Liang Chang

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在城市规划、生态学和流行病学等领域,对人的流动性进行建模是一项关键任务。鉴于目前移动电话的使用情况,有大量数据可以用来创建高可靠性的模型。现有的技术可以揭示人群运动的宏观模式或分析一个人的轨迹;然而,它们通常侧重于地理特征。本文提出了一种基于图的方法,在社会行为的背景下构造多粒度的人群流动性转移。该方法的关键是一种自适应的数据表示方法,即自适应流动转移图(AMTG),它通过定义人类流动的时间趋势和不同流动模式之间的交错转移来全局地从城市范围的人类流动数据中生成。我们描述了AMTG的设计、创建和操作,并介绍了一个可视化分析系统,该系统支持对城市范围内人员流动模式的多方面探索。
Modeling human mobility is a critical task in fields such as urban planning, ecology, and epidemiology. Given the current use of mobile phones, there is an abundance of data that can be used to create models of high reliability. Existing techniques can reveal the macropatterns of crowd movement or analyze the trajectory of a person; however, they typically focus on geographical characteristics. This paper presents a graph-based approach for structuring crowd mobility transition over multiple granularities in the context of social behavior. The key to our approach is an adaptive data representation, the adaptive mobility transition graph (AMTG), which is globally generated from citywide human mobility data by defining the temporal trends of human mobility and the interleaved transitions between different mobility patterns. We describe the design, creation, and manipulation of the AMTG and introduce a visual analysis system that supports the multifaceted exploration of citywide human mobility patterns.
DOI: 10.1109/time.2007.59
发表时间: 2007-06
期刊: 14th International Symposium on Temporal Representation and Reasoning (TIME'07)
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