• 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

相似文献

1
Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility.关于新冠疫情及其相应措施对流动性影响的系统文献综述。
Transportation (Amst). 2023 Apr 25:1-55. doi: 10.1007/s11116-023-10392-2.
2
Impact of Social Media on Travel Behaviors during the COVID-19 Pandemic: Evidence from New York City.社交媒体对新冠疫情期间旅行行为的影响:来自纽约市的证据
Transp Res Rec. 2023 Apr;2677(4):219-238. doi: 10.1177/03611981211033857. Epub 2021 Sep 17.
3
Associations between changes in population mobility in response to the COVID-19 pandemic and socioeconomic factors at the city level in China and country level worldwide: a retrospective, observational study.应对 COVID-19 大流行期间人口流动变化与中国城市层面和全球国家层面社会经济因素的关联:一项回顾性观察研究。
Lancet Digit Health. 2021 Jun;3(6):e349-e359. doi: 10.1016/S2589-7500(21)00059-5.
4
The impact of COVID-19 and related containment measures on Bangkok's public transport ridership.新冠疫情及相关防控措施对曼谷公共交通客流量的影响。
Transp Res Interdiscip Perspect. 2023 Jan;17:100737. doi: 10.1016/j.trip.2022.100737. Epub 2022 Dec 5.
5
A paradigm shift in urban mobility: Policy insights from travel before and after COVID-19 to seize the opportunity.城市交通的范式转变:从新冠疫情前后的出行情况中获取政策见解以抓住机遇
Transp Policy (Oxf). 2021 Sep;110:335-353. doi: 10.1016/j.tranpol.2021.06.010. Epub 2021 Jun 12.
6
COVID-19 effects on urban driving, walking, and transit usage trends: Evidence from Indian metropolitan cities.新冠疫情对城市驾驶、步行及公共交通使用趋势的影响:来自印度大城市的证据
Cities. 2022 Jul;126:103697. doi: 10.1016/j.cities.2022.103697. Epub 2022 Apr 11.
7
Using volunteered geographic information to assess mobility in the early phases of the COVID-19 pandemic: a cross-city time series analysis of 41 cities in 22 countries from March 2nd to 26th 2020.利用志愿者地理信息评估 COVID-19 大流行早期阶段的流动性:2020 年 3 月 2 日至 26 日 22 个国家 41 个城市的跨城市时间序列分析。
Global Health. 2020 Sep 23;16(1):85. doi: 10.1186/s12992-020-00598-9.
8
Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review.关于新冠疫情、人类流动性与空气质量的机器学习:综述
IEEE Access. 2021 May 11;9:72420-72450. doi: 10.1109/ACCESS.2021.3079121. eCollection 2021.
9
COVID-19's impacts on incomes and food consumption in urban and rural areas are surprisingly similar: Evidence from five African countries.新冠疫情对非洲五个国家城乡地区收入和食品消费的影响惊人地相似
Glob Food Sec. 2022 Jun;33:100633. doi: 10.1016/j.gfs.2022.100633. Epub 2022 Mar 30.
10
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.在流行地区,服用抗叶酸抗疟药物的人群中,叶酸补充剂与疟疾易感性和严重程度的关系。
Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217.

引用本文的文献

1
Gastric Cancer Surgery Before and During the COVID-19 Pandemic in Turkey: A Multicenter Comparison of Prognostic Factors, Mortality, and Survival.土耳其 COVID-19 大流行之前及期间的胃癌手术:预后因素、死亡率和生存率的多中心比较
Medicina (Kaunas). 2025 Jul 24;61(8):1336. doi: 10.3390/medicina61081336.
2
Dynamic interactions of COVID-19 incidences, mobility, and social distancing policies in seoul: A VAR model approach.首尔新冠疫情发病率、流动性与社交距离政策的动态相互作用:向量自回归模型方法
Sci Rep. 2025 Jul 7;15(1):24288. doi: 10.1038/s41598-025-05583-z.
3
How regulatory orders and public fear affect vehicle mobility under COVID-19: A global perspective from urban overall vehicles using multi-source data.监管命令和公众恐惧如何影响新冠疫情下的车辆流动性:基于多源数据的城市整体车辆的全球视角
PLoS One. 2025 Jun 11;20(6):e0325118. doi: 10.1371/journal.pone.0325118. eCollection 2025.
4
Research Trends and Structural Characteristics of Healthcare Research in Japan, Including the First Half of the New Coronavirus Spread Period: A Bibliometric Analysis.日本医疗保健研究的趋势与结构特征,包括新冠病毒传播初期:文献计量分析
Cureus. 2025 May 15;17(5):e84197. doi: 10.7759/cureus.84197. eCollection 2025 May.
5
Sex-specific impact of the COVID-19 outbreak on the incidence of metabolic syndrome: a comparative study of 2018-2019 and 2020-2021.2019冠状病毒病疫情对代谢综合征发病率的性别特异性影响:2018 - 2019年与2020 - 2021年的比较研究
Korean J Intern Med. 2025 Mar;40(2):262-274. doi: 10.3904/kjim.2024.288. Epub 2025 Mar 1.
6
Impact of the COVID-19 pandemic on access to and delivery of maternal and child healthcare services in low-and middle-income countries: a systematic review of the literature.2019年冠状病毒病疫情对低收入和中等收入国家孕产妇和儿童保健服务获取与提供的影响:文献系统综述
Front Public Health. 2024 Apr 8;12:1346268. doi: 10.3389/fpubh.2024.1346268. eCollection 2024.
7
Prosociality predicts changes in leisure activities during the COVID-19 pandemic.亲社会行为能够预测新冠疫情期间休闲活动的变化。
Front Psychol. 2024 Feb 27;15:1320885. doi: 10.3389/fpsyg.2024.1320885. eCollection 2024.
8
COVID-19 control measures unexpectedly increased the duration of stay at High Speed Rail stations during the first community outbreak in Taiwan.COVID-19 控制措施在台湾首次社区爆发期间意外地延长了高铁车站的停留时间。
BMC Public Health. 2024 Feb 22;24(1):551. doi: 10.1186/s12889-024-17964-6.
9
Two-Stage Recognition Mechanism of the SARS-CoV-2 Receptor-Binding Domain to Angiotensin-Converting Enzyme-2 (ACE2).严重急性呼吸综合征冠状病毒2受体结合结构域与血管紧张素转换酶2(ACE2)的两阶段识别机制
Int J Mol Sci. 2024 Jan 4;25(1):679. doi: 10.3390/ijms25010679.

本文引用的文献

1
Who continued travelling by public transport during COVID-19? Socioeconomic factors explaining travel behaviour in Stockholm 2020 based on smart card data.在新冠疫情期间,哪些人仍继续乘坐公共交通工具出行?基于智能卡数据剖析2020年斯德哥尔摩出行行为的社会经济因素。
Eur Transp Res Rev. 2021;13(1):31. doi: 10.1186/s12544-021-00488-0. Epub 2021 Jun 7.
2
Post-COVID-19 travel behaviour patterns: impact on the willingness to pay of users of public transport and shared mobility services in Spain.新冠疫情后的出行行为模式:对西班牙公共交通和共享出行服务用户支付意愿的影响
Eur Transp Res Rev. 2021;13(1):20. doi: 10.1186/s12544-021-00476-4. Epub 2021 Mar 10.
3
Public Transport Operations After Lockdown: How to Make It Happen?封锁解除后的公共交通运营:如何实现?
Trans Indian Natl Acad Eng. 2020;5(2):149-156. doi: 10.1007/s41403-020-00121-x. Epub 2020 Jun 12.
4
Impact of COVID-19 on Public Transit Accessibility and Ridership.新冠疫情对公共交通可达性及客流量的影响。
Transp Res Rec. 2023 Apr;2677(4):531-546. doi: 10.1177/03611981231160531. Epub 2023 Apr 15.
5
Mitigating Increased Driving after the COVID-19 Pandemic: An Analysis on Mode Share, Travel Demand, and Public Transport Capacity.缓解新冠疫情大流行后的驾驶量增加:关于出行方式份额、出行需求和公共交通运力的分析
Transp Res Rec. 2023 Apr;2677(4):154-167. doi: 10.1177/03611981211037884. Epub 2021 Aug 27.
6
Interactive COVID-19 Mobility Impact and Social Distancing Analysis Platform.交互式新冠疫情出行影响与社交距离分析平台
Transp Res Rec. 2023 Apr;2677(4):168-180. doi: 10.1177/03611981211043813. Epub 2021 Sep 18.
7
A study on the factors that influenced the choice of transport mode before, during, and after the first lockdown in Milan, Italy.一项关于意大利米兰首次封锁之前、期间和之后影响交通方式选择因素的研究。
Cities. 2023 May;136:104251. doi: 10.1016/j.cities.2023.104251. Epub 2023 Mar 6.
8
Travel behaviour changes and risk perception during COVID-19: A case study of Malaysia.新冠疫情期间马来西亚的出行行为变化与风险认知:一项案例研究
Transp Res Interdiscip Perspect. 2023 Mar;18:100784. doi: 10.1016/j.trip.2023.100784. Epub 2023 Feb 20.
9
The relationship between mobility and COVID-19 pandemic: Daily evidence from an emerging country by causality analysis.流动性与新冠疫情之间的关系:通过因果分析得出的来自一个新兴国家的每日证据
Transp Res Interdiscip Perspect. 2021 Jun;10:100366. doi: 10.1016/j.trip.2021.100366. Epub 2021 Apr 5.
10
The effects of COVID-19 epidemic on public transport ridership and frequencies. A case study from Tampere, Finland.新冠疫情对公共交通客流量及班次的影响。芬兰坦佩雷的案例研究。
Transp Res Interdiscip Perspect. 2021 Jun;10:100348. doi: 10.1016/j.trip.2021.100348. Epub 2021 Mar 14.

关于新冠疫情及其相应措施对流动性影响的系统文献综述。

Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility.

作者信息

Lee Kwang-Sub, Eom Jin Ki

机构信息

Railroad Policy Research Department, Korea Railroad Research Institute, 176 Railroad Museum Road, Uiwang-Si, 16105 Gyeonggi-Do Korea.

出版信息

Transportation (Amst). 2023 Apr 25:1-55. doi: 10.1007/s11116-023-10392-2.

DOI:10.1007/s11116-023-10392-2
PMID:37363373
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10126540/
Abstract

UNLABELLED

The unprecedented COVID-19 outbreak has significantly influenced our daily life, and COVID-19's spread is inevitably associated with human mobility. Given the pandemic's severity and extent of spread, a timely and comprehensive synthesis of the current state of research is needed to understand the pandemic's impact on human mobility and corresponding government measures. This study examined the relevant literature published to the present (March 2023), identified research trends, and conducted a systematic review of evidence regarding transport's response to COVID-19. We identified key research agendas and synthesized the results, examining: (1) mobility changes by transport modes analyzed regardless of government policy implementation, using empirical data and survey data; (2) the effect of diverse government interventions to reduce mobility and limit COVID-19 spread, and controversial issues on travel restriction policy effects; and (3) future research issues. The findings showed a strong relationship between the pandemic and mobility, with significant impacts on decreased overall mobility, a remarkable drop in transit ridership, changes in travel behavior, and improved traffic safety. Government implemented various non-pharmaceutical countermeasures, such as city lockdowns, travel restrictions, and social distancing. Many studies showed such interventions were effective. However, some researchers reported inconsistent outcomes. This review provides urban and transport planners with valuable insights to facilitate better preparation for future health emergencies that affect transportation.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s11116-023-10392-2.

摘要

未标注

史无前例的新冠疫情大爆发对我们的日常生活产生了重大影响,而且新冠疫情的传播不可避免地与人员流动相关。鉴于疫情的严重程度和传播范围,需要及时全面地综合当前研究状况,以了解疫情对人员流动的影响以及相应的政府措施。本研究考察了截至目前(2023年3月)已发表的相关文献,确定了研究趋势,并对有关交通领域应对新冠疫情的证据进行了系统综述。我们确定了关键研究议程并综合了研究结果,具体考察了:(1)使用实证数据和调查数据,分析不论政府政策实施情况的各种交通方式的出行变化;(2)不同政府干预措施对减少出行和限制新冠疫情传播的效果,以及出行限制政策效果方面存在争议的问题;(3)未来的研究问题。研究结果表明疫情与出行之间存在紧密关系,对总体出行减少、公共交通客流量显著下降、出行行为变化以及交通安全改善产生了重大影响。政府实施了各种非药物应对措施,如城市封锁、出行限制和社交距离措施。许多研究表明这些干预措施是有效的。然而,一些研究人员报告了不一致的结果。本综述为城市和交通规划者提供了宝贵的见解,以促进更好地为未来影响交通的健康紧急情况做好准备。

补充信息

网络版包含可在10.1007/s11116-023-10392-2获取的补充材料。