High-Speed Railway Access Pattern and Spatial Overlap Characteristics of the Yellow River Basin Urban Agglomeration
<p>Research logic diagram.</p> "> Figure 2
<p>Overview of the study area.</p> "> Figure 3
<p>City access patterns within each urban agglomeration.</p> "> Figure 4
<p>The proportion of 2 h traffic circle coverage in central cities.</p> "> Figure 5
<p>The pattern of access to the central cities.</p> "> Figure 6
<p>The 3 h HSR travel space links among the central cities and other cities.</p> "> Figure 7
<p>Spatial division of urban overlap in the Yellow River Basin.</p> "> Figure 8
<p>Strategic planning for Changzhi visionary space development.</p> ">
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Data
2.3. Methods and Models
2.3.1. Gravity Model
2.3.2. Overlapping Community Discovery Model
3. Results
3.1. HSR Access Pattern in the Yellow River Basin Urban Agglomeration
3.1.1. The 2 h Access Pattern for Each Urban Agglomeration
3.1.2. Two-Hour Access Pattern to the Central Cities of Each Urban Agglomeration
3.2. Spatial Overlap Analysis of Cross-Urban Agglomerations in the Yellow River Basin
3.2.1. Center City Spatial Connection
3.2.2. Regional Spatial Overlap Analysis
3.2.3. Case Study of Strategic Planning for the Development of the Overlapping Space Changzhi Visionary Space
4. Discussion
4.1. Urban Agglomeration HSR Access Pattern
4.2. Spatial Overlap across Urban Agglomeration
4.3. Overlapping Space Recognition
4.4. Policy Suggestions
4.5. Limitations and Prospects
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Yang, Y.C.; Mu, Y.J.; Zhang, W. Basic Conditions and Core Strategies of High-Quality Development in The Yellow River Basin. Resour. Sci. 2020, 42, 409–423. [Google Scholar] [CrossRef]
- Fang, C.L.; Wang, Z.B.; Ma, H.T. The theoretical cognition of the development law of China’s urban agglomeration and academic contribution. Acta Geogr. Sin. 2018, 73, 651–665. [Google Scholar]
- Wang, D.G.; Fan, Z.Q.; Zhao, M.F. Spatial Pattern of 2h Travel Circle of Major Urban Agglomerations in The Yangtze River Economic Belt. Geogr. Res. 2022, 41, 1388–1406. [Google Scholar]
- Fang, C.L. Spatial Organization Pattern and High-Quality Development of Urban Agglomeration in The Yellow River Basin. Econ. Geogr. 2020, 40, 1–8. [Google Scholar]
- Fan, J.; Wang, Y.F.; Wang, Y.X. High Quality Regional Development Research Based on Geographical Units: Discuss on the Difference in Development Conditions and Priorities of the Yellow River Basin Compared to the Yangtze River Basin. Econ. Geogr. 2020, 40, 1–11. [Google Scholar]
- Zhang, Z.B.; Chen, Y.R.; Wang, J. Evaluation of The Spatial Evolution of The Organization of Wuhan Metropolitan Area. Resour. Environ. Yangtze Basin 2014, 23, 1344–1350. [Google Scholar]
- Lu, D.D.; Sun, D.Q. Development and Management Tasks of The Yellow River Basin: A Preliminary Understanding and Suggestion. Acta Geogr. Sin. 2019, 74, 2431–2436. [Google Scholar]
- The Communist Party of China Central Committee and the State Council Issued the “Outline of The Construction of a Strong Transportation Country”. Available online: http://www.gov.cn/zhengce/2019-09/19/content_5431432.htm (accessed on 29 August 2022).
- Kotavaara, O.; Antikainen, H.; Rusanen, J. Population Change and Accessibility by Road and Rail Networks: GIS and Statistical Approach to Finland 1970–2007. J. Transp. Geogr. 2011, 19, 926–935. [Google Scholar] [CrossRef]
- Zhang, W.; Nian, P.; Lyu, G. A Multimodal Approach to Assessing Accessibility of a High-Speed Railway Station. J. Transp. Geogr. 2016, 54, 91–101. [Google Scholar] [CrossRef]
- Chen, W. Identifying The Spatial Scope of Megaregions in China From The Perspective of Accessibility. Geogr. Res. 2020, 39, 2808–2820. [Google Scholar]
- Gao, D.; Li, S. Spatiotemporal Impact of Railway Network in the Qinghai-Tibet Plateau on Accessibility and Economic Linkages during 1984–2030. J. Transp. Geogr. 2022, 100, 103332. [Google Scholar] [CrossRef]
- Holl, A. Twenty Years of Accessibility Improvements. The Case of the Spanish Motorway Building Programme. J. Transp. Geogr. 2007, 15, 286–297. [Google Scholar] [CrossRef]
- Giuliano, G.; Redfearn, C.; Agarwal, A.; He, S. Network Accessibility and Employment Centres. Urban Stud. 2012, 49, 77–95. [Google Scholar] [CrossRef]
- Wu, W.; Chao, Y.H.; Liang, S.B. Temporal and Spatial Evolution of Integrated Transport Accessibility in the Yangtze River Delta: 1986–2005. Prog. Geogr. 2010, 29, 619–626. [Google Scholar]
- Li, P.Q.; Chao, X.S. The Road Network Accessibility and Spatial Pattern of Guangzhou-Foshan Metropolitan Area. Econ. Geogr. 2011, 31, 371–378. [Google Scholar]
- Liu, H.; Shen, Y.M.; Meng, D.; Xue, J. The City Network Centrality and Spatial Structure in the Beijing-Tianjin-Hebei Metropolitan Region. Econ. Geogr. 2013, 33, 37–45. [Google Scholar]
- Liu, Z.B.; Liu, J.Y.; He, X.P.; Wang, F.Z. The Spatial Connection and Network Feature of Zhongyuan Economic District Base on Intercity Traffic Flow. Econ. Geogr. 2014, 34, 58–66. [Google Scholar]
- Liu, Z.B.; Ding, Z.W.; Bu, S.P.; Wang, F.Z. The Network Structure Analysis of Zhongyuan Urban Agglomeration Based on Interactive and Traffic Flow Relationship. Hum. Geogr. 2015, 30, 79–86. [Google Scholar]
- Liu, A.L.; Yang, C.L.; Ming, Q.Z.; Mao, X. Urban Agglomerations Transportation Network Space-Time Evolution in the Frontier Mountainous Area—A Case of Urban Agglomerations in the Central Yunnan. Econ. Geogr. 2016, 36, 70–77. [Google Scholar]
- Sun, Y.; Yao, S.M.; Zhang, L.C. Functional Structure of Spatial Flow in The Yangtze River Delta: Analysis of Passenger Based Data for The High Speed Railway. Prog. Geogr. 2016, 35, 1381–1387. [Google Scholar]
- Mei, L.; Huang, B.S.; Ao, R.J.; Gao, Z. The Spatial Pattern and Evolution of High-Speed Railways Accessibility of the Urban Agglomeration in the Middle Reaches of the Yangtze River. Econ. Geogr. 2018, 38, 62–68. [Google Scholar]
- Willigers, J.; Van Wee, B. High-Speed Rail and Office Location Choices. A Stated Choice Experiment for the Netherlands. J. Transp. Geogr. 2011, 19, 745–754. [Google Scholar] [CrossRef]
- Martín, J.C.; Román, C.; García-Palomares, J.C.; Gutiérrez, J. Spatial Analysis of the Competitiveness of the High-Speed Train and Air Transport: The Role of Access to Terminals in the Madrid–Barcelona Corridor. Transp. Res. Part A Policy Pract. 2014, 69, 392–408. [Google Scholar] [CrossRef] [Green Version]
- He, D.; Yang, B. A Study on the lnfluence of High-speed Railways on Urban Hinterland: The Case of North Anhui. Urban Plan. Forum 2011, 4, 66–74. [Google Scholar]
- Chu, N.C.; Jiang, B.; Zhao, Y.H.; Luo, C.; Wang, Y.D.; Zhang, W.Q.; Li, X.Q. Potential Impact and Optimization of Intercity High-Speed Rails on the Urban System Spatial Pattern Evolution in Heilongjiang Province. Econ. Geogr. 2016, 36, 78–83. [Google Scholar]
- Guo, J.Y.; Wu, W.; Chao, Y.H.; Liu, W.C.; Wu, H.J. Assessing the Impacts of High-speed Rail on Regional Spatial Structure: A Study of Yangtze River Delta Urban Agglomeration. Resour. Environ. Yangtze Basin 2019, 28, 2817–2826. [Google Scholar]
- Chakraborty, T.; Chakraborty, A. OverCite: Finding Overlapping Communities in Citation Network. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), Niagara, ON, Canada, 25–29 August 2013; IEEE: Piscatvie, NJ, USA, 2013; pp. 1124–1131. [Google Scholar] [CrossRef]
- Yang, J.; Leskovec, J. Overlapping Community Detection at Scale: A Nonnegative Matrix Factorization Approach. In Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, Rome, Italy, 4–8 February 2013; pp. 587–596. [Google Scholar] [CrossRef]
- Maity, S.; Rath, S.K. Extended Clique Percolation Method to Detect Overlapping Community Structure. In Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Delhi, India, 24–27 September 2014; IEEE: Piscatvie, NJ, USA, 2014; pp. 31–37. [Google Scholar] [CrossRef]
- Ghorbani, M.; Rabiee, H.R.; Khodadadi, A. Bayesian Overlapping Community Detection in Dynamic Networks. arXiv 2016, arXiv:1605.02288. [Google Scholar]
- Nguyen, N.P.; Dinh, T.N.; Shen, Y.; Thai, M.T. Dynamic Social Community Detection and Its Applications. PLoS ONE 2014, 9, e91431. [Google Scholar] [CrossRef]
- Das, A.; Nayak, J.; Naik, B.; Ghosh, U. Generation of Overlapping Clusters Constructing Suitable Graph for Crime Report Analysis. Future Gener. Comput. Syst. 2021, 118, 339–357. [Google Scholar] [CrossRef]
- Palla, G.; Derényi, I.; Farkas, I.; Vicsek, T. Uncovering the Overlapping Community Structure of Complex Networks in Nature and Society. Nature 2005, 435, 814–818. [Google Scholar] [CrossRef] [Green Version]
- Meng, D.; Lu, Y.Q. Analysis of inter-provincial accessibility and economic linkage spatial pattern based on the railway network. Geogr. Res. 2012, 31, 107–122. [Google Scholar]
- Chen, W.; Liu, W.D.; Ke, W.Q.; Wang, N.Y. The Spatial Structures and Organization Patterns of China’s City Networks Based on The Highway Passenger Flows. Acta Geogr. Sin. 2017, 72, 224–241. [Google Scholar]
- Wu, X.L.; Zhang, C.Z. Multi-label Propagation for Overlapping Community Detection Based on Contribution Degree. J. China Soc. Sci. Tech. Inf. 2015, 34, 949–957. [Google Scholar]
- Lancichinetti, A.; Fortunato, S.; Radicchi, F. Benchmark Graphs for Testing Community Detection Algorithms. Phys. Rev. E 2008, 78, 046110. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Xie, J.; Kelley, S.; Szymanski, B.K. Overlapping Community Detection in Networks: The State-of-the-Art and Comparative Study. Acm Comput. Surv. (Csur.) 2013, 45, 1–35. [Google Scholar] [CrossRef] [Green Version]
- Xie, J.; Szymanski, B.K.; Liu, X. SLPA: Uncovering Overlapping Communities in Social Networks via A Speaker-Listener Interaction Dynamic Process. arXiv 2011, arXiv:1109.5720. [Google Scholar]
- Gao, P.; He, D.; Ning, Y.M.; Zhang, F. Community Structure and Proximity Mechanism of City Clusters in Middle Reach of the Yangtze River: Based on Producer Service Firms’ Network. Sci. Geogr. Sin. 2019, 39, 578–586. [Google Scholar]
- Nicosia, V.; Mangioni, G.; Carchiolo, V.; Malgeri, M. Extending the Definition of Modularity to Directed Graphs with Overlapping Communities. J. Stat. Mech. 2009, 2009, P03024. [Google Scholar] [CrossRef] [Green Version]
- Newman, M.E.J. Modularity and Community Structure in Networks. Proc. Natl. Acad. Sci. USA 2006, 103, 8577–8582. [Google Scholar] [CrossRef] [Green Version]
- Hong, Y.; Yao, Y. Hierarchical Community Detection and Functional Area Identification with OSM Roads and Complex Graph Theory. Int. J. Geogr. Inf. Sci. 2019, 33, 1569–1587. [Google Scholar] [CrossRef]
- Chen, Y.; Xu, J. A Distance-based Method of Community Detection in Complex Networks. J. Geo-Inf. Sci. 2013, 15, 338–344. [Google Scholar] [CrossRef]
- Niu, F.Q.; Liu, W.D.; Song, T.; Hu, Z.D. A Multi-Level Spatial Structure Analysis Algorithm for Urban Agglomeration Study in China. Geogr. Res. 2015, 34, 1447–1460. [Google Scholar]
- Wang, D.; Liu, K.; Gen, H.Z. The Study of Daily Communication Area in Hu-Ning-Hang Region. Urban Plan. Forum 2001, 5, 38–44. [Google Scholar]
- Wang, D.; Liu, K.; Guo, J. The Comparison of Spatial Characteristics and Dynamic Changes of Daily-commuinication-areas of Hu-Ning-Hang. Urban Plan. Forum 2004, 3, 33–38. [Google Scholar]
- Wang, J.E.; Du, D.L.; Jin, F.J. Comparison of Spatial Structure and Linkage Systems and Geographic Constraints: A Perspective of Multiple Traffic Flows. Acta Geogr. Sin. 2019, 74, 2482–2494. [Google Scholar]
Trains | Station Sequence | Name | Miles(km) | Arrival Time | Departure Time |
---|---|---|---|---|---|
G36 | 1 | Zhuji | 0 | 08:27 | 08:27 |
G36 | 2 | Hangzhoudong | 66 | 08:51 | 08:57 |
G36 | 3 | Deqing | 101 | 09:10 | 09:12 |
G36 | 4 | Huzhou | 137 | 09:25 | 09:30 |
G36 | 5 | Jurongxi | 296 | 10:09 | 10:11 |
G36 | 6 | Nanjingnan | 322 | 10:23 | 10:29 |
G36 | 7 | Suzhoudong | 585 | 11:31 | 11:33 |
G36 | 8 | Xuzhoudong | 653 | 11:52 | 11:54 |
G36 | 9 | Tengzhoudong | 754 | 12:20 | 12:25 |
G36 | 10 | Jinanxi | 939 | 13:10 | 13:13 |
G36 | 11 | Dezhoudong | 1031 | 13:37 | 13:40 |
G36 | 12 | Beijingnan | 1345 | 14:53 | 14:53 |
Central City | Cooperation Direction |
---|---|
With Taiyuan | Strengthen cooperation and exchange with Taiyuan equipment manufacturing industries and promote the level of intelligent equipment manufacturing industry. |
With Zhengzhou | Strengthen the docking with the Zhengzhou International Port and the Zheng–European Train, build an important sub-pivot of Zhengzhou International Logistics Port, and radiate the Shanxi and Shaanxi areas. |
With Xi’an | Strengthen the docking with Xi’an, focusing on attracting innovative resources such as technology, talent, capital, and enterprises from Xi’an to provide support for industrial structure adjustment and scientific and technological innovation. |
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Xiong, Y.; Tang, H.; Xu, T. High-Speed Railway Access Pattern and Spatial Overlap Characteristics of the Yellow River Basin Urban Agglomeration. ISPRS Int. J. Geo-Inf. 2023, 12, 3. https://doi.org/10.3390/ijgi12010003
Xiong Y, Tang H, Xu T. High-Speed Railway Access Pattern and Spatial Overlap Characteristics of the Yellow River Basin Urban Agglomeration. ISPRS International Journal of Geo-Information. 2023; 12(1):3. https://doi.org/10.3390/ijgi12010003
Chicago/Turabian StyleXiong, Yajun, Hui Tang, and Tao Xu. 2023. "High-Speed Railway Access Pattern and Spatial Overlap Characteristics of the Yellow River Basin Urban Agglomeration" ISPRS International Journal of Geo-Information 12, no. 1: 3. https://doi.org/10.3390/ijgi12010003
APA StyleXiong, Y., Tang, H., & Xu, T. (2023). High-Speed Railway Access Pattern and Spatial Overlap Characteristics of the Yellow River Basin Urban Agglomeration. ISPRS International Journal of Geo-Information, 12(1), 3. https://doi.org/10.3390/ijgi12010003