Article(id=1241742149058876181, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1241742062018687952, articleNumber=null, orderNo=null, doi=10.3981/j.issn.2097-0781.2023.03.003, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1681056000000, receivedDateStr=2023-04-10, revisedDate=1692720000000, revisedDateStr=2023-08-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1696867200000, onlineDateStr=2023-10-10, pubDate=1695139200000, pubDateStr=2023-09-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1696867200000, onlineIssueDateStr=2023-10-10, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773983998787, creator=sys-migrate, updateTime=1773983998787, updator=sys-migrate, issue=Issue{id=1241742062018687952, tenantId=1146029695717560320, journalId=1146032081894723586, year='2023', volume='2', issue='3', pageStart='106', pageEnd='119', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=1, createTime=1773983978031, creator=sys-migrate, updateTime=1776075155375, updator=13041195026, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1250513095551042081, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1241742062018687952, language=EN, specialIssueTitle=Special Issue on Road Traffic Engineering, coverIllustrator=null, specialIssueEditor=null, specialIssueAbout=null), CN=IssueExt(id=1250513095555236386, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1241742062018687952, language=CN, specialIssueTitle=道路交通工程专刊, coverIllustrator=null, specialIssueEditor=null, specialIssueAbout=null)}, issueFiles=null}, startPage=34, endPage=44, ext={EN=ArticleExt(id=1241742153588724506, articleId=1241742149058876181, tenantId=1146029695717560320, journalId=1146032081894723586, language=EN, title=Prospects of Resilience Enhancement Technology for Road Transportation System, columnId=1149656489310208610, journalTitle=Science and Technology Foresight, columnName=Review and Commentary, runingTitle=null, highlight=null, articleAbstract=

Road transportation system is the lifeline of the national economy and social development. Enhancing the resilience of the road transportation system is a key initiative to build a livable and resilient smart city. As urbanization accelerates, the interwoven complexities of extraordinary events become more pronounced in cities, encompassing a heightened frequency of natural disasters, mega-events, and public security incidents. These factors collectively underscore a pressing need for enhancing resilient road transportation systems. This paper provides an overview of the concept of road transportation system resilience and summarizes the three stages of global development in road transportation resilience, including the introduction of the concept, policy support, and technical application. Through the analysis of traffic demand in road planning, design, control, operation, and maintenance, this paper identifies the key challenges of resilience enhancement technology in four areas: system resilience planning system, multidimensional resilience assessment, dynamic deduction and evolutionary mechanisms, and emergency organization and collaborative management. Finally, the prospects of China’s road transportation resilience enhancement technology are proposed: Strengthening top-level planning and integrated design of resilient transportation, investigating core scientific issues and key technologies, perfecting laws and regulations and publishing technical standards and norms for resilience enhancement, demonstrating of the typical cities on the ground.

, correspAuthors=Meng LI, authorNote=null, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Meng LI, Chuan DING, Yunxuan LI), CN=ArticleExt(id=1241742153450312473, articleId=1241742149058876181, tenantId=1146029695717560320, journalId=1146032081894723586, language=CN, title=道路交通系统韧性提升技术展望, columnId=1148708266483446458, journalTitle=前瞻科技, columnName=综述与述评, runingTitle=null, highlight=null, articleAbstract=

道路交通是国民经济和社会发展的命脉，提升道路交通系统韧性是打造宜居韧性智慧城市的关键举措。随着城镇化进程加快，城市面临的不确定性因素交织叠加，频发的自然灾害、重大活动、公共安全事件等对韧性道路交通系统建设提出了更为迫切的要求。文章对道路交通系统韧性的内涵进行了概述，梳理了国内外道路交通韧性从理念引入、政策支持到技术应用的3个发展阶段，围绕系统韧性规划体系、多维度韧性评估、动态推演与演化机制、应急组织与协同管控，凝练总结了韧性提升在道路规划、设计、管控、运行维护等全环节的关键挑战。最后，从加强顶层规划和统筹设计、攻克核心科学问题和关键技术、健全法律法规和标准化技术文件、加速推进技术成果落地应用4个方面提出了中国道路交通系统韧性发展建议。

, correspAuthors=李萌, authorNote=null, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=FtU4S3jy/J2n7xtP67hSlA==, magXml=SDDubCMkqLi4loaQVUGtIw==, pdfUrl=null, pdf=ZythlIr/kzLxi+UIpbm7vQ==, pdfFileSize=5798550, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=RCPs0X3TDAxslZh8kCeOuQ==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=pUTWAiQYDDRN9kV5CT8vPQ==, mapNumber=null, authorCompany=null, fund=null, authors=, authorsList=李萌, 丁川, 李昀轩)}, authors=[Author(id=1241742221452563330, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=mengli@tsinghua.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=1, authorType=1, ext={EN=AuthorExt(id=1241742221540643717, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, authorId=1241742221452563330, language=EN, stringName=Meng LI, firstName=Meng, middleName=null, lastName=LI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, †}, address=1. School of Civil Engineering, Tsinghua University, Beijing 100084, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1241742221603558279, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, authorId=1241742221452563330, language=CN, stringName=李萌, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, †}, address=1.清华大学土木水利学院，北京 100084, bio={"img":"pz4gEycGWzUGXJ9mNtfrCw==","content":"

李萌，清华大学长聘副教授，研究员，博士研究生导师。清华大学-梅赛德斯奔驰可持续交通联合研究院院长，清华大学智能网联汽车与交通研究中心副主任等。国家杰出青年科学基金获得者，中国智能交通协会中青年创新领军人才。主要从事韧性交通、交通大数据分析、智能交通、自动驾驶方面的研究。电子信箱：mengli@tsinghua.edu.cn。

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李萌，清华大学长聘副教授，研究员，博士研究生导师。清华大学-梅赛德斯奔驰可持续交通联合研究院院长，清华大学智能网联汽车与交通研究中心副主任等。国家杰出青年科学基金获得者，中国智能交通协会中青年创新领军人才。主要从事韧性交通、交通大数据分析、智能交通、自动驾驶方面的研究。电子信箱：mengli@tsinghua.edu.cn。

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Chicago: Argonne National Lab (ANL), 2013., articleTitle=Resilience measurement index: An indicator of critical infrastructure resilience, refAbstract=null), Reference(id=1241742226204709835, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=null, pmid=null, pmcid=null, year=2016, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[13], rfOrder=12, authorNames=Federal Emergency Management Agency, journalName=Washington, D.C.: Federal Emergency Management Agency, refType=null, unstructuredReference=Federal Emergency Management Agency. National preparedness goal[R]. Washington, D.C.: Federal Emergency Management Agency, 2016., articleTitle=National preparedness goal, refAbstract=null), Reference(id=1241742226267624396, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=null, pmid=null, pmcid=null, year=2018, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[14], rfOrder=13, authorNames=United States Department of Homeland Security, journalName=Washington, D. C.: US Department of Homeland Security, refType=null, unstructuredReference=United States Department of Homeland Security. 2018-2022 Strategic plan, federal emergency management agency[R]. Washington, D. C.: US Department of Homeland Security, 2018., articleTitle=2018-2022 Strategic plan, federal emergency management agency, refAbstract=null), Reference(id=1241742226330538957, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=null, pmid=null, pmcid=null, year=2020, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[15], rfOrder=14, authorNames=European Commission, journalName=Brussels: European Commission, refType=null, unstructuredReference=European Commission. Horizon Europe[R]. Brussels: European Commission, 2020., articleTitle=Horizon Europe, refAbstract=null), Reference(id=1241742226422813646, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=null, pmid=null, pmcid=null, year=2021, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[16], rfOrder=15, authorNames=European Commission, journalName=Brussels: European Commission, refType=null, unstructuredReference=European Commission. Sustainable and smart mobility strategy[R]. Brussels: European Commission, 2021., articleTitle=Sustainable and smart mobility strategy, refAbstract=null), Reference(id=1241742226489922511, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=null, pmid=null, pmcid=null, year=2020, volume=6, issue=1, pageStart=97, pageEnd=102, url=null, language=null, rfNumber=[17], rfOrder=16, authorNames=买媛媛, 李艳红, journalName=交通运输研究, refType=null, unstructuredReference=买媛媛, 李艳红. 发达国家交通应对突发公共卫生事件的经验及对我国的启示[J]. 交通运输研究, 2020, 6(1): 97-102., articleTitle=发达国家交通应对突发公共卫生事件的经验及对我国的启示, refAbstract=自新型冠状病毒肺炎疫情发生以来，按照习近平总书记的重要指示，交通运输行业统一部署、积极应对，在疫情防控、应急运输组织保障中发挥了重要作用。交通运输既是遏制病毒传播的重要环节，又是人民群众出行和防控物资供应的重点保障。纵观世界范围内的突发公共卫生事件，交通运输亦发挥了重要的作用，美国建立了“规划引领、分级响应”的交通应急物流系统，日本建立了“预防为主、多式联运”的交通应急配送体系，英国形成了“垂直管理、多层次协作”的交通应急管理体制。这些先进的经验和应对模式给我国交通应急管理体系的完善提供了如下启示：规划先行，优化外集内配网络体系实现应急物资的高效运输和基本生活物资的有效供给；加强预防，提前科学筹谋交通应急预案并结合具体实际不断深入、细化；统筹协作，不断完善交通应急管理体制与配套保障措施。), Reference(id=1241742226544448464, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=null, pmid=null, pmcid=null, year=2017, volume=null, issue=4, pageStart=71, pageEnd=76, url=null, language=null, rfNumber=[18], rfOrder=17, authorNames=邵亦文, 徐江, journalName=城市与减灾, refType=null, unstructuredReference=邵亦文, 徐江. 城市规划中实现韧性构建:日本强韧化规划对中国的启示[J]. 城市与减灾, 2017(4): 71-76., articleTitle=城市规划中实现韧性构建:日本强韧化规划对中国的启示, refAbstract=null), Reference(id=1241742226598974417, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=null, pmid=null, pmcid=null, year=2008, volume=25, issue=9, pageStart=154, pageEnd=158, url=null, language=null, rfNumber=[19], rfOrder=18, authorNames=谢素华, journalName=公路交通科技, refType=null, unstructuredReference=谢素华. 论我国公路交通应急及运输保障体系建设[J]. 公路交通科技, 2008, 25(9): 154-158., articleTitle=论我国公路交通应急及运输保障体系建设, refAbstract=null), Reference(id=1241742226661888978, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=null, pmid=null, pmcid=null, year=2022, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[20], rfOrder=19, authorNames=应急管理部, journalName=北京: 国务院灾害调查组, refType=null, unstructuredReference=应急管理部. 河南郑州“7·20”特大暴雨灾害调查报告[R]. 北京: 国务院灾害调查组, 2022., articleTitle=河南郑州“7·20”特大暴雨灾害调查报告, refAbstract=null), Reference(id=1241742226737386451, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=null, pmid=null, pmcid=null, year=2016, volume=null, issue=3, pageStart=54, pageEnd=59, url=null, language=null, rfNumber=[21], rfOrder=20, authorNames=徐德谦, journalName=中国公路, refType=null, unstructuredReference=徐德谦. 从无到有由弱到强——我国公路应急处置体系建设发展的历程[J]. 中国公路, 2016(3): 54-59., articleTitle=从无到有由弱到强——我国公路应急处置体系建设发展的历程, refAbstract=null), Reference(id=1241742226796106708, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=null, pmid=null, pmcid=null, year=2020, volume=null, issue=001, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[22], rfOrder=21, authorNames=中国共产党第十九届中央委员会, journalName=人民日报, refType=null, unstructuredReference=中国共产党第十九届中央委员会. 中共中央关于制定国民经济和社会发展第十四个五年规划和二〇三五年远景目标的建议[N]. 人民日报, 2020-11-04(001)., articleTitle=中共中央关于制定国民经济和社会发展第十四个五年规划和二〇三五年远景目标的建议, refAbstract=null), Reference(id=1241742226863215573, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=null, pmid=null, pmcid=null, year=2022, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[23], rfOrder=22, authorNames=上海市人民政府, journalName=上海: 上海市人民政府, refType=null, unstructuredReference=上海市人民政府. 上海市交通发展白皮书(2022版)[R]. 上海: 上海市人民政府, 2022., articleTitle=上海市交通发展白皮书(2022版), refAbstract=null), Reference(id=1241742226921935830, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=10.1080/23789689.2018.1448663, pmid=null, pmcid=null, year=2020, volume=5, issue=3, pageStart=168, pageEnd=199, url=https://www.tandfonline.com/doi/full/10.1080/23789689.2018.1448663, language=null, rfNumber=[24], rfOrder=23, authorNames=Sun W, Bocchini P, Davison B D, journalName=Sustainable and Resilient Infrastructure, refType=null, unstructuredReference=Sun W, Bocchini P, Davison B D. Resilience metrics and measurement methods for transportation infrastructure: The state of the art[J]. Sustainable and Resilient Infrastructure, 2020, 5(3): 168-199., articleTitle=Resilience metrics and measurement methods for transportation infrastructure: The state of the art, refAbstract=null), Reference(id=1241742226976461783, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=null, pmid=null, pmcid=null, year=2012, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[25], rfOrder=24, authorNames=Federal Highway Administration, journalName=Washington, D.C.: US Department of Transportation, refType=null, unstructuredReference=Federal Highway Administration. Climate change and extreme weather vulnerability assessment framework[R]. Washington, D.C.: US Department of Transportation, 2012., articleTitle=Climate change and extreme weather vulnerability assessment framework, refAbstract=null), Reference(id=1241742227030987736, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=10.1016/j.trc.2019.05.039, pmid=null, pmcid=null, year=2019, volume=105, issue=null, pageStart=297, pageEnd=322, url=https://linkinghub.elsevier.com/retrieve/pii/S0968090X18315389, language=null, rfNumber=[26], rfOrder=25, authorNames=Zhang Z, Li M, Lin X, journalName=Transportation Research Part C: Emerging Technologies, refType=null, unstructuredReference=Zhang Z, Li M, Lin X, et al. Multistep speed prediction on traffic networks: A deep learning approach consi- dering spatio-temporal dependencies[J]. 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Reliability Engineering & System Safety, 2016, 156: 84-96., articleTitle=Resilience of traffic networks: From perturbation to recovery via a dynamic restricted equilibrium model, refAbstract=null), Reference(id=1241742227177788378, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=null, pmid=null, pmcid=null, year=2021, volume=23, issue=2, pageStart=52, pageEnd=61, url=null, language=null, rfNumber=[28], rfOrder=27, authorNames=李萌, 郭娅明, journalName=中国基础科学, refType=null, unstructuredReference=李萌, 郭娅明. 冬奥会交通与安保协同管控体系研究进展[J]. 中国基础科学, 2021, 23(2): 52-61., articleTitle=冬奥会交通与安保协同管控体系研究进展, refAbstract=null), Reference(id=1241742227240702939, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=10.1111/risa.12093, pmid=23875704, pmcid=null, year=2014, volume=34, issue=2, pageStart=340, pageEnd=355, url=null, language=null, rfNumber=[29], rfOrder=28, authorNames=Ayyub B M, journalName=Risk Analysis, refType=null, unstructuredReference=Ayyub B M. Systems resilience for multihazard environments: Definition, metrics, and valuation for decision making[J]. Risk Analysis, 2014, 34(2): 340-355., articleTitle=Systems resilience for multihazard environments: Definition, metrics, and valuation for decision making, refAbstract=The United Nations Office for Disaster Risk Reduction reported that the 2011 natural disasters, including the earthquake and tsunami that struck Japan, resulted in $366 billion in direct damages and 29,782 fatalities worldwide. Storms and floods accounted for up to 70% of the 302 natural disasters worldwide in 2011, with earthquakes producing the greatest number of fatalities. Average annual losses in the United States amount to about $55 billion. Enhancing community and system resilience could lead to massive savings through risk reduction and expeditious recovery. The rational management of such reduction and recovery is facilitated by an appropriate definition of resilience and associated metrics. In this article, a resilience definition is provided that meets a set of requirements with clear relationships to the metrics of the relevant abstract notions of reliability and risk. Those metrics also meet logically consistent requirements drawn from measure theory, and provide a sound basis for the development of effective decision-making tools for multihazard environments. Improving the resiliency of a system to meet target levels requires the examination of system enhancement alternatives in economic terms, within a decision-making framework. Relevant decision analysis methods would typically require the examination of resilience based on its valuation by society at large. The article provides methods for valuation and benefit-cost analysis based on concepts from risk analysis and management. © 2013 Society for Risk Analysis.), Reference(id=1241742227312006108, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, doi=null, pmid=null, pmcid=null, year=2017, volume=24, issue=11, pageStart=1, pageEnd=8, url=null, language=null, rfNumber=[30], rfOrder=29, authorNames=仇保兴, journalName=城市发展研究, refType=null, unstructuredReference=仇保兴. 构建韧性城市交通五准则[J]. 城市发展研究, 2017, 24(11): 1-8., articleTitle=构建韧性城市交通五准则, refAbstract=null)], funds=[Fund(id=1241742225307128766, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, awardId=52325209, language=CN, fundingSource=国家自然科学基金(52325209), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1241742221188322164, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, xref=null, ext=[AuthorCompanyExt(id=1241742221196710773, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, companyId=1241742221188322164, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1. School of Civil Engineering, Tsinghua University, Beijing 100084, China), AuthorCompanyExt(id=1241742221209293687, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, companyId=1241742221188322164, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.清华大学土木水利学院，北京 100084)]), AuthorCompany(id=1241742221276402553, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, xref=null, ext=[AuthorCompanyExt(id=1241742221284791162, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241742149058876181, companyId=1241742221276402553, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2. 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