太阳成8722(中国)有限公司-GREEN NO.1

标题: Revealing correlation patterns of individual location activity motifs between workdays and day-offs using massive mobile phone data

作者: Xiong, QQ (Xiong, Qiangqiang); Liu, YL (Liu, Yaolin); Xie, P (Xie, Peng); Wang, YH (Wang, Yiheng); Liu, YF (Liu, Yanfang)

来源出版物: COMPUTERS ENVIRONMENT AND URBAN SYSTEMS 卷: 89 文献号: 101682 DOI: 10.1016/j.compenvurbsys.2021.101682 出版年: SEP 2021

摘要: Recently, people are increasingly interested in understanding broader and longer-term individual activity-travel behaviors across days or even weeks. However, the relationship of individual daily activity-travel behaviors over multi-days only remains partially revealed, especially between workdays and day-offs. Thus, we develop an effective framework to extract individual daily activity-travel patterns from massive mobile phone network data on basis of location activity motifs (LAMs), which are beneficial to combining the locations, activities, and trips in daily activity-travel behaviors. We then discover that the modified number of LAMs over time conforms well to the classic exploration and preferential return (EPR) model after excluding the influence of the number of trips, which reproduces the human activity-travel behavior characteristics on daily scale and indicates that the complex relationship of LAMs exists between workdays and day-offs. Furthermore, we emphasize three categories of correlation patterns while the relationship of LAMs between workdays and day-offs is instantiated using association rules mining algorithm. Ultimately, the regular individual differences and obvious spatial heterogeneity reveal the formation mechanism of correlation patterns. These empirical results contribute to develop different but related transportation strategies between workdays and day-offs by understanding individual daily activity-travel behaviors.

入藏号: WOS:000685200500016

语言: English

文献类型: Article

作者关键词: Individual travel trajectory; Location activity motifs; Correlation patterns; Mobile phone network data; Workdays and day-offs travel

地址: [Xiong, Qiangqiang; Liu, Yaolin; Wang, Yiheng; Liu, Yanfang] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Liu, Yaolin] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Liu, Yaolin] Wuhan Univ, Collaborat Innovat Ctr Geospatial Informat Techno, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Xie, Peng] Shandong Univ Technol, Sch Civil & Architectural Engn, 266 Xincun West Rd, Zibo 255000, Peoples R China.

通讯作者地址: Liu, YL (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

电子邮件地址: yaolin610@163.com

影响因子：5.324