File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.jtrangeo.2018.05.017
- Scopus: eid_2-s2.0-85047619352
- WOS: WOS:000442708300005
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: China's high-speed rail network construction and planning over time: a network analysis
Title | China's high-speed rail network construction and planning over time: a network analysis |
---|---|
Authors | |
Keywords | China's high-speed rail network Construction and planning Evolution process Complex Network Network characteristics |
Issue Date | 2018 |
Publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/jtrangeo |
Citation | Journal of Transport Geography, 2018, v. 70, p. 40-54 How to Cite? |
Abstract | Based on the construction scale of China's high-speed rail network (CHSRN) between 2007–2017, this paper presents the evolution process and network characteristics over this period. Additionally, according to China's latest national railway planning proposal - “The Mid- and Long-term Railway Network Plan” issued in 2016, the development prospects and impacting factors of future CHSRN from 2018 to 2030 are analyzed. The evolutionary process and regularity of CHSRN development is evaluated with various complex network measures. It is found that the degree and eccentricity of each Tier 1 city increase over time, but the pagerank of almost all Tier 1 cities decreases from 2007–2017 to 2018–2030, and that the contribution of the Tier 1 cities to the network connections decreases from 2007 to 2030. The Chinese government would be adopting an egalitarian model to construct the CHSRN in the long-term. Moreover, during the second period, the CHSRN would form increasingly more connections between more populated Tier 2 and Tier 3 cities. From 2018–2030 the clustering coefficients of some Tier 2 and Tier 3 cities would be greater than those of Tier 1 cities. The HSR planners of China may have expected a larger share of passenger flows from the Tier 1 cities to Tiers 2 and 3 cities in the future. |
Persistent Identifier | http://hdl.handle.net/10722/259998 |
ISSN | 2023 Impact Factor: 5.7 2023 SCImago Journal Rankings: 1.791 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Xu, W | - |
dc.contributor.author | Zhou, J | - |
dc.contributor.author | Qiu, G | - |
dc.date.accessioned | 2018-09-03T04:22:46Z | - |
dc.date.available | 2018-09-03T04:22:46Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Journal of Transport Geography, 2018, v. 70, p. 40-54 | - |
dc.identifier.issn | 0966-6923 | - |
dc.identifier.uri | http://hdl.handle.net/10722/259998 | - |
dc.description.abstract | Based on the construction scale of China's high-speed rail network (CHSRN) between 2007–2017, this paper presents the evolution process and network characteristics over this period. Additionally, according to China's latest national railway planning proposal - “The Mid- and Long-term Railway Network Plan” issued in 2016, the development prospects and impacting factors of future CHSRN from 2018 to 2030 are analyzed. The evolutionary process and regularity of CHSRN development is evaluated with various complex network measures. It is found that the degree and eccentricity of each Tier 1 city increase over time, but the pagerank of almost all Tier 1 cities decreases from 2007–2017 to 2018–2030, and that the contribution of the Tier 1 cities to the network connections decreases from 2007 to 2030. The Chinese government would be adopting an egalitarian model to construct the CHSRN in the long-term. Moreover, during the second period, the CHSRN would form increasingly more connections between more populated Tier 2 and Tier 3 cities. From 2018–2030 the clustering coefficients of some Tier 2 and Tier 3 cities would be greater than those of Tier 1 cities. The HSR planners of China may have expected a larger share of passenger flows from the Tier 1 cities to Tiers 2 and 3 cities in the future. | - |
dc.language | eng | - |
dc.publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/jtrangeo | - |
dc.relation.ispartof | Journal of Transport Geography | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | China's high-speed rail network | - |
dc.subject | Construction and planning | - |
dc.subject | Evolution process | - |
dc.subject | Complex Network | - |
dc.subject | Network characteristics | - |
dc.title | China's high-speed rail network construction and planning over time: a network analysis | - |
dc.type | Article | - |
dc.identifier.email | Zhou, J: zhoujp@hku.hk | - |
dc.identifier.authority | Zhou, J=rp02236 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1016/j.jtrangeo.2018.05.017 | - |
dc.identifier.scopus | eid_2-s2.0-85047619352 | - |
dc.identifier.hkuros | 289813 | - |
dc.identifier.volume | 70 | - |
dc.identifier.spage | 40 | - |
dc.identifier.epage | 54 | - |
dc.identifier.isi | WOS:000442708300005 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0966-6923 | - |