• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

人类流动的介观结构和社会方面。

Mesoscopic structure and social aspects of human mobility.

机构信息

Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, Illinois, United States of America.

出版信息

PLoS One. 2012;7(5):e37676. doi: 10.1371/journal.pone.0037676. Epub 2012 May 31.

DOI:10.1371/journal.pone.0037676
PMID:22701529
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3365118/
Abstract

The individual movements of large numbers of people are important in many contexts, from urban planning to disease spreading. Datasets that capture human mobility are now available and many interesting features have been discovered, including the ultra-slow spatial growth of individual mobility. However, the detailed substructures and spatiotemporal flows of mobility--the sets and sequences of visited locations--have not been well studied. We show that individual mobility is dominated by small groups of frequently visited, dynamically close locations, forming primary "habitats" capturing typical daily activity, along with subsidiary habitats representing additional travel. These habitats do not correspond to typical contexts such as home or work. The temporal evolution of mobility within habitats, which constitutes most motion, is universal across habitats and exhibits scaling patterns both distinct from all previous observations and unpredicted by current models. The delay to enter subsidiary habitats is a primary factor in the spatiotemporal growth of human travel. Interestingly, habitats correlate with non-mobility dynamics such as communication activity, implying that habitats may influence processes such as information spreading and revealing new connections between human mobility and social networks.

摘要

大量人群的个体运动在许多情境中都很重要,从城市规划到疾病传播。现在已经有捕捉人类移动性的数据集,并且已经发现了许多有趣的特征,包括个体移动性的超慢速空间增长。然而,移动性的详细子结构和时空流动——访问地点的集合和序列——还没有得到很好的研究。我们表明,个体移动性主要由经常访问的、动态接近的小地点组所支配,这些组形成了典型日常活动的主要“栖息地”,以及代表额外旅行的附属栖息地。这些栖息地与家庭或工作等典型环境不对应。在栖息地内的移动性的时间演化,构成了大部分运动,在栖息地之间具有普遍性,并且表现出与之前所有观察结果都不同的标度模式,并且当前模型无法预测。进入附属栖息地的延迟是人类旅行的时空增长的主要因素。有趣的是,栖息地与非移动性动态(如通信活动)相关联,这意味着栖息地可能会影响信息传播等过程,并揭示人类移动性和社交网络之间的新联系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43ac/3365118/39855d14c6b0/pone.0037676.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43ac/3365118/0349a5202452/pone.0037676.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43ac/3365118/489d9869107e/pone.0037676.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43ac/3365118/ba79090f0dd4/pone.0037676.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43ac/3365118/a72bf432908a/pone.0037676.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43ac/3365118/39855d14c6b0/pone.0037676.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43ac/3365118/0349a5202452/pone.0037676.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43ac/3365118/489d9869107e/pone.0037676.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43ac/3365118/ba79090f0dd4/pone.0037676.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43ac/3365118/a72bf432908a/pone.0037676.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43ac/3365118/39855d14c6b0/pone.0037676.g005.jpg

相似文献

1
Mesoscopic structure and social aspects of human mobility.人类流动的介观结构和社会方面。
PLoS One. 2012;7(5):e37676. doi: 10.1371/journal.pone.0037676. Epub 2012 May 31.
2
The TimeGeo modeling framework for urban motility without travel surveys.无需出行调查的城市机动性时间地理建模框架。
Proc Natl Acad Sci U S A. 2016 Sep 13;113(37):E5370-8. doi: 10.1073/pnas.1524261113. Epub 2016 Aug 29.
3
The universal visitation law of human mobility.人类流动的普遍访问规律。
Nature. 2021 May;593(7860):522-527. doi: 10.1038/s41586-021-03480-9. Epub 2021 May 26.
4
Regularity and predictability of human mobility in personal space.个人空间中人类移动的规律性和可预测性。
PLoS One. 2014 Feb 27;9(2):e90256. doi: 10.1371/journal.pone.0090256. eCollection 2014.
5
What Heterogeneities in Individual-level Mobility Are Lost During Aggregation? Leveraging GPS Logger Data to Understand Fine-scale and Aggregated Patterns of Mobility.在聚合过程中会丢失个体移动性的哪些异质性?利用 GPS 日志数据了解移动性的细粒度和聚合模式。
Am J Trop Med Hyg. 2022 Oct 17;107(5):1145-1153. doi: 10.4269/ajtmh.22-0202. Print 2022 Nov 14.
6
Evaluating Spatial Interaction Models for Regional Mobility in Sub-Saharan Africa.评估撒哈拉以南非洲地区人口流动的空间相互作用模型。
PLoS Comput Biol. 2015 Jul 9;11(7):e1004267. doi: 10.1371/journal.pcbi.1004267. eCollection 2015 Jul.
7
Practical geospatial and sociodemographic predictors of human mobility.实用的地理空间和社会人口统计学预测人类流动性。
Sci Rep. 2021 Jul 28;11(1):15389. doi: 10.1038/s41598-021-94683-7.
8
Understanding Spatiotemporal Human Mobility Patterns for Malaria Control Using a Multiagent Mobility Simulation Model.利用多主体移动模拟模型理解疟疾防控的时空人类移动模式。
Clin Infect Dis. 2023 Feb 8;76(3):e867-e874. doi: 10.1093/cid/ciac568.
9
Inferring human mobility using communication patterns.利用通信模式推断人类活动。
Sci Rep. 2014 Aug 22;4:6174. doi: 10.1038/srep06174.
10
Metapopulation epidemic models with heterogeneous mixing and travel behaviour.具有异质混合和旅行行为的集合种群流行病模型。
Theor Biol Med Model. 2014 Jan 13;11:3. doi: 10.1186/1742-4682-11-3.

引用本文的文献

1
Machine learning analysis of the effects of COVID-19 on migration patterns.机器学习分析 COVID-19 对移民模式的影响。
Sci Rep. 2024 Nov 30;14(1):29815. doi: 10.1038/s41598-024-80841-0.
2
The effectiveness of backward contact tracing in networks.网络中反向接触追踪的有效性。
Nat Phys. 2021 May;17:652-658. doi: 10.1038/s41567-021-01187-2. Epub 2021 Feb 25.
3
Towards routine, city-scale accessibility metrics: Graph theoretic interpretations of pedestrian access using personalized pedestrian network analysis.迈向常规的城市尺度可达性指标:使用个性化行人网络分析对行人可达性进行图论解释。

本文引用的文献

1
A universal model for mobility and migration patterns.通用的流动性和迁移模式模型。
Nature. 2012 Feb 26;484(7392):96-100. doi: 10.1038/nature10856.
2
Interplay between telecommunications and face-to-face interactions: a study using mobile phone data.电信与面对面互动的相互作用:一项使用手机数据的研究。
PLoS One. 2011;6(7):e20814. doi: 10.1371/journal.pone.0020814. Epub 2011 Jul 13.
3
Uncovering space-independent communities in spatial networks.揭示空间网络中与空间无关的社区。
PLoS One. 2021 Mar 19;16(3):e0248399. doi: 10.1371/journal.pone.0248399. eCollection 2021.
4
Ranking places in attributed temporal urban mobility networks.赋予时间属性的城市移动性网络中的位置排序。
PLoS One. 2020 Oct 14;15(10):e0239319. doi: 10.1371/journal.pone.0239319. eCollection 2020.
5
Dynamics of calling activity to toll-free numbers in China.中国拨打免费电话号码的活动动态。
PLoS One. 2020 Mar 26;15(3):e0230592. doi: 10.1371/journal.pone.0230592. eCollection 2020.
6
A universal opportunity model for human mobility.人类移动的通用机会模型。
Sci Rep. 2020 Mar 13;10(1):4657. doi: 10.1038/s41598-020-61613-y.
7
Recurrent Mobility: Urban Conduits for Diffusion of Energy Efficiency.反复出现的流动性:能源效率扩散的城市渠道。
Sci Rep. 2019 Dec 27;9(1):20247. doi: 10.1038/s41598-019-56372-4.
8
Field theory for recurrent mobility.复发性迁移的场论。
Nat Commun. 2019 Aug 29;10(1):3895. doi: 10.1038/s41467-019-11841-2.
9
Evolving network structure of academic institutions.学术机构不断演变的网络结构。
Appl Netw Sci. 2017;2(1):1. doi: 10.1007/s41109-016-0020-1. Epub 2017 Jan 19.
10
Tracking random walks.追踪随机游走。
J R Soc Interface. 2018 Feb;15(139). doi: 10.1098/rsif.2017.0776.
Proc Natl Acad Sci U S A. 2011 May 10;108(19):7663-8. doi: 10.1073/pnas.1018962108. Epub 2011 Apr 25.
4
Geographic constraints on social network groups.地理限制对社交网络群体的影响。
PLoS One. 2011 Apr 5;6(4):e16939. doi: 10.1371/journal.pone.0016939.
5
Collective response of human populations to large-scale emergencies.人类群体对大规模紧急情况的集体反应。
PLoS One. 2011 Mar 30;6(3):e17680. doi: 10.1371/journal.pone.0017680.
6
Redrawing the map of Great Britain from a network of human interactions.从人类互动网络重绘大不列颠地图。
PLoS One. 2010 Dec 8;5(12):e14248. doi: 10.1371/journal.pone.0014248.
7
Inferring social ties from geographic coincidences.从地理巧合推断社会关系。
Proc Natl Acad Sci U S A. 2010 Dec 28;107(52):22436-41. doi: 10.1073/pnas.1006155107. Epub 2010 Dec 8.
8
The structure of borders in a small world.小世界网络中的边界结构。
PLoS One. 2010 Nov 18;5(11):e15422. doi: 10.1371/journal.pone.0015422.
9
Limits of predictability in human mobility.人类流动性的可预测性极限。
Science. 2010 Feb 19;327(5968):1018-21. doi: 10.1126/science.1177170.
10
Inferring friendship network structure by using mobile phone data.利用手机数据推断友谊网络结构。
Proc Natl Acad Sci U S A. 2009 Sep 8;106(36):15274-8. doi: 10.1073/pnas.0900282106. Epub 2009 Aug 17.