Article(id=1149742000037085401, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1149741999626043609, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2024.06.001, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1709136000000, receivedDateStr=2024-02-29, revisedDate=1715356800000, revisedDateStr=2024-05-11, acceptedDate=null, acceptedDateStr=null, onlineDate=1752049453981, onlineDateStr=2025-07-09, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1752049453981, onlineIssueDateStr=2025-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1752049453981, creator=13701087609, updateTime=1752049453981, updator=13701087609, issue=Issue{id=1149741999626043609, tenantId=1146029695717560320, journalId=1146123302524792850, year='2024', volume='37', issue='6', pageStart='1', pageEnd='148', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1752049453884, creator=13701087609, updateTime=1753780113622, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1157000912746139776, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1149741999626043609, language=EN, specialIssueTitle=, coverIllustrator=, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1157000912746139777, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1149741999626043609, language=CN, specialIssueTitle=, coverIllustrator=, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1, endPage=7, ext={EN=ArticleExt(id=1149742000280355034, articleId=1149742000037085401, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Integrated Development of Multi-level Rail Transit in the Guangdong-Hong Kong-Macao Greater Bay Area, columnId=1149774327354192353, journalTitle=Urban Rapid Rail Transit, columnName=Papers, runingTitle=null, highlight=null, articleAbstract=
In response to the problems of insufficient crosslevel, crossstandard, and crossregional integration in the development of multilevel rail transit in the Guangdong Hong Kong Macao Greater Bay Area, empirical analysis methods were used to study the deepseated influencing factors from the aspects of policy system design, planning and construction, and coordination of operating entities. On the basis of analyzing the current situation and existing problems of multilevel rail transit development in the Guangdong Hong Kong Macao Greater Bay Area, this paper explores the successes, failures, and lessons learned from the development of multilevel rail transit in urban agglomerations at home and abroad. It proposes countermeasures such as establishing an integrated integration system mechanism and policy norms, strengthening integrated planning and construction management, promoting the integration of comprehensive transportation hubs, improving land support policies and investment and financing supporting policies, and establishing a multilevel rail transit operation enterprise alliance in the Greater Bay Area. The research results can provide a reference for the decisionmaking of multilevel rail transit integration in the Guangdong Hong Kong Macao Greater Bay Area.
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针对目前粤港澳大湾区多层次轨道交通发展存在的跨层次、跨制式、跨区域融合不足等问题,采用实证分析方法,从政策制度设计、规划建设、运营主体协同等方面对其深层次影响因素进行研究。在分析粤港澳大湾区多层次轨道交通发展现状与存在问题的基础上,探究国内外城市群多层次轨道交通发展成败得失与经验启示,提出进行一体化融合体制机制与政策规范建设、加强一体化规划建设管理、促进综合交通枢纽一体化融合、完善土地支持政策与投融资配套政策、建立大湾区多层次轨道交通运营企业联盟等对策。研究成果以期为粤港澳大湾区多层次轨道交通一体化融合决策提供参考。
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, authorsList=刘鹏)}, authors=[Author(id=1153991611705971065, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=liupeng1320@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1153991611760497019, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, authorId=1153991611705971065, language=EN, stringName=Peng LIU, firstName=Peng, middleName=null, lastName=LIU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Intelligent Transportation and Engineering Guangzhou Maritime University Guangzhou 510725, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1153991611810828668, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, authorId=1153991611705971065, language=CN, stringName=刘鹏, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=广州航海学院 智能交通与工程学院 广州 510725, bio={"content":"
刘鹏,男,博士,副教授,硕士生导师,主要研究方向为交通运输系统组织与优化、交通规划等,liupeng1320@163.com
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刘鹏,男,博士,副教授,硕士生导师,主要研究方向为交通运输系统组织与优化、交通规划等,liupeng1320@163.com
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131: 5-19., articleTitle=Mobility as a service (MaaS): Charting a future context, refAbstract=null)], funds=[Fund(id=1153991614293856662, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, awardId=2024312403, language=CN, fundingSource=2024年广州市教育局高校科研项目资助(2024312403), fundOrder=null, country=null), Fund(id=1153991614339994007, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, awardId=2019GXJK107, language=CN, fundingSource=广东省教育科学规划课题(2019GXJK107), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1153991611605307765, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, xref=null, ext=[AuthorCompanyExt(id=1153991611609502070, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, companyId=1153991611605307765, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Intelligent Transportation and Engineering Guangzhou Maritime University Guangzhou 510725), AuthorCompanyExt(id=1153991611613696375, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, companyId=1153991611605307765, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=广州航海学院 智能交通与工程学院 广州 510725)])], figs=[ArticleFig(id=1153991613702459790, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, language=EN, label=Figure 1, caption=
Current situation of intercity transportation passenger flow in three major metropolitan areas, figureFileSmall=iQ4WoVZeU6UO97pXo5yuxw==, figureFileBig=EWi4iibRJfnII4jeQXZzyw==, tableContent=null), ArticleFig(id=1153991613761180047, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, language=CN, label=图 1, caption=
粤港澳大湾区三大都市圈城际交通出行客流现状, figureFileSmall=iQ4WoVZeU6UO97pXo5yuxw==, figureFileBig=EWi4iibRJfnII4jeQXZzyw==, tableContent=null), ArticleFig(id=1153991613803123088, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, language=EN, label=Figure 2, caption=
Projected passenger flow for intercity transportation in three major metropolitan areas by 2050, figureFileSmall=OOXOUvyki1Q99C3xWxjvDQ==, figureFileBig=RrEFuknRyUS3vGFdnNGTAA==, tableContent=null), ArticleFig(id=1153991613853454737, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, language=CN, label=图 2, caption=
三大都市圈城际交通出行远期 2050 年预测客流量, figureFileSmall=OOXOUvyki1Q99C3xWxjvDQ==, figureFileBig=RrEFuknRyUS3vGFdnNGTAA==, tableContent=null), ArticleFig(id=1153991613916369298, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, language=EN, label=Table 1, caption=
2022 International Bay Area multi-level rail transit data indicators [ 6-7 ] , figureFileSmall=null, figureFileBig=null, tableContent=
| 项目 | 面积/ | 人口/ 万人 | 线网规模/km | 线网密度 | 人均里程/(km/万人) |
| 高速 铁路 | 普速 铁路 | 城际 铁路 | 市域(郊) 铁路 | 城市轨 道交通 | 高速 铁路 | 普速 铁路 | 城际 铁路 | 市域(郊) 铁路 | 城市轨 道交通 | 高速 铁路 | 普速 铁路 | 城际 铁路 | 市域(郊) 铁路 | 城市轨 道交通 |
| 东京湾区 | 3.68 | 4383 | 228 | 0 | 1550 | 1758 | 358 | 0.62 | 0 | 4.21 | 4.78 | 0.97 | 0.05 | 0 | 0.35 | 0.4 | 0.08 |
| 纽约湾区 | 2.15 | 2340 | 0 | 0 | 3248 | 5309 | 380 | 0 | 0 | 15.10 | 24.69 | 1.77 | 0 | 0 | 1.39 | 2.27 | 0.16 |
| 旧金山湾区 | 1.79 | 760 | 0 | 0 | 511 | 883 | 308 | 0 | 0 | 2.85 | 4.93 | 1.72 | 0 | 0 | 0.67 | 1.16 | 0.41 |
| 粤港澳大湾 区(含港澳) | 5.60 | 8617 | 1321 | 792 | 368 | 36 | 1333.5 | 2.35 | 1.41 | 0.66 | 0.06 | 2.38 | 0.15 | 0.09 | 0.04 | 0.004 | 0.15 |
), ArticleFig(id=1153991613987672467, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, language=CN, label=表 1, caption=
2022 年国际四大湾区多层次轨道交通数据指标 [ 6-7 ] , figureFileSmall=null, figureFileBig=null, tableContent=
| 项目 | 面积/ | 人口/ 万人 | 线网规模/km | 线网密度 | 人均里程/(km/万人) |
| 高速 铁路 | 普速 铁路 | 城际 铁路 | 市域(郊) 铁路 | 城市轨 道交通 | 高速 铁路 | 普速 铁路 | 城际 铁路 | 市域(郊) 铁路 | 城市轨 道交通 | 高速 铁路 | 普速 铁路 | 城际 铁路 | 市域(郊) 铁路 | 城市轨 道交通 |
| 东京湾区 | 3.68 | 4383 | 228 | 0 | 1550 | 1758 | 358 | 0.62 | 0 | 4.21 | 4.78 | 0.97 | 0.05 | 0 | 0.35 | 0.4 | 0.08 |
| 纽约湾区 | 2.15 | 2340 | 0 | 0 | 3248 | 5309 | 380 | 0 | 0 | 15.10 | 24.69 | 1.77 | 0 | 0 | 1.39 | 2.27 | 0.16 |
| 旧金山湾区 | 1.79 | 760 | 0 | 0 | 511 | 883 | 308 | 0 | 0 | 2.85 | 4.93 | 1.72 | 0 | 0 | 0.67 | 1.16 | 0.41 |
| 粤港澳大湾 区(含港澳) | 5.60 | 8617 | 1321 | 792 | 368 | 36 | 1333.5 | 2.35 | 1.41 | 0.66 | 0.06 | 2.38 | 0.15 | 0.09 | 0.04 | 0.004 | 0.15 |
), ArticleFig(id=1153991614042198420, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, language=EN, label=Table 2, caption=
Share rate of passenger travel by road and rail in the Guangdong Hong Kong Macao Greater Bay Area ${}^{\circ }{V}_{6}$, figureFileSmall=null, figureFileBig=null, tableContent=
| 交通方式 | 广州市 | 深圳市 | 佛山市 | 珠海市 | 肇庆市 | 东莞市 | 中山市 | 江门市 | 惠州市 | 湾区合计 |
| 公路 | 83 | 90 | 92 | 93 | 95 | 96 | 96 | 97 | 98 | 92 |
| 轨道 | 17 | 10 | 8 | 7 | 5 | 4 | 4 | 3 | 2 | 8 |
), ArticleFig(id=1153991614100918677, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1149742000037085401, language=CN, label=表 2, caption=
粤港澳大湾区客流出行公路与轨道分担率, figureFileSmall=null, figureFileBig=null, tableContent=
| 交通方式 | 广州市 | 深圳市 | 佛山市 | 珠海市 | 肇庆市 | 东莞市 | 中山市 | 江门市 | 惠州市 | 湾区合计 |
| 公路 | 83 | 90 | 92 | 93 | 95 | 96 | 96 | 97 | 98 | 92 |
| 轨道 | 17 | 10 | 8 | 7 | 5 | 4 | 4 | 3 | 2 | 8 |
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