The Effects of Seaport-Inland Port Dyads on Container Seaport Hinterland Delimitation
Keywords:hinterland, inland ports, seaport-inland port dyad, radiation model
The emerging seaport-inland port dyad contributes greatly to the development of seaport hinterlands. However, little research has examined its influence on container hinterland delimitation. This paper used an improved radiation model to study the effects of seaport-inland port dyads on the container seaport hinterland delimitation in the context of a Chinese multi-port system. The radiation of each seaport was estimated to track changes in the seaport superior hinterlands and hinterland ratings and discover the patterns of the effects. The results show that the formation of dyads expands the scope of superior hinterlands and improves the hinterland ratings of seaports. The provinces close to inland ports and far from seaports were significantly affected and the same inland port influenced seaports differently. These results demonstrate that establishing a seaport-inland port dyad is a good way to compete with other seaports for larger market shares. These different effects can serve as a guideline for seaport authorities to choose suitable dyads to achieve their hinterland targets.
Bask A, et al. Development of seaport–dry port dyads: Two cases from Northern Europe. Journal of Transport Geography. 2014;39:85-95. DOI: 10.1016/j.jtrangeo.2014.06.014.
Zheng S, et al. The development modes of inland ports: Theoretical models and the Chinese cases. Maritime Policy & Management. 2021;48(4):583-605. DOI: 10.1080/03088839.2020.1795289.
Ravibabu M. A nested logit model of mode choice for inland movement of export shipments: A case study of containerized export cargo from India. Research in Transportation Economics. 2013;38(1):91-100. DOI: 10.1016/j.retrec.2012.05.007.
Qin F. Advance waterway port and inland port linkage development -- China's dry port construction and development patrol. China Ports. 2014;4(6):5-7. DOI: 10.3969/j.issn.1006-124X.2014.06.002.
Rožić T, Rogić K, Bajor I. Research trends of inland terminals: A literature review. Promet – Traffic&Transportation. 2016;28(5):539-48. DOI: 10.7307/ptt.v28i5.2090.
Shulin W, et al. Influence of dry ports construction on seaport growth: Case of Ningbo Zhoushan Port. Transport Policy. 2022;117:40-47. DOI: 10.1016/j.tranpol.2022.01.008.
Jeevan J, Chen SL, Cahoon S. The impact of dry port operations on container seaports competitiveness. Maritime Policy & Management. 2019;46(1):4-23. DOI: 10.1080/03088839.2018.1505054.
Trupac I, Twrdy E. More competitiveness of the port of Koper through supply chain integration. Promet – Traffic&Transportation. 2012;22(4):251-7. DOI: 10.7307/ptt.v22i4.190.
Jeevan J, et al. The symbiotic relationship between seaports and dry ports: An analysis of the ambidextrous functionalities of freight nodes and implications on regional development. Journal of Maritime Research. 2020;2(19):44-53. https://www.jmr.unican.es/index.php/jmr/article/view/649/686 [Accessed 26th Dec. 2022].
Roso V, et al. Seaport-inland port dyad dynamics: An investigation of service provisions and intermodal transportation linkages. World Review of Intermodal Transportation Research. 2015;5(3):263-280. DOI: 10.1504/WRITR.2015.069242.
Santos Tiago A, Guedes Soares C. Development dynamics of the Portuguese range as a multi-port gateway system. Journal of Transport Geography. 2017;60:178-188. DOI: 10.1016/j.jtrangeo.2017.03.003.
Wang B, Chin K, Su Q. Prevention and adaptation to diversified risks in the seaport–Dry port system under asymmetric risk behaviors: Invest earlier or wait? Transport Policy. 2022;125:11-36. DOI: 10.1016/J.TRANPOL.2022.05.006.
Wang B, Chin K, Su Q. Risk management and market structures in seaport-dry port systems. Maritime Economics & Logistics. 2022;24(1):114-137. DOI: 10.1057/s41278-021-00202-w.
Feng, S. Partitioning model for port indirect hinterland based on ant colony optimization algorithm. Port & Waterway Engineering. 2009;(05):47-50. DOI: 10.16233/j.cnki.issn1002-4972.2009.05.006.
Rodrigue JP. The geography of transport systems, 4th Edition. New York, USA: Routledge; 2017.
Santos TA, Guedes Soares C. Container terminal potential hinterland delimitation in a multi-port system subject to a regionalization process. Journal of Transport Geography. 2019;75:132-146. DOI: 10.1016/j.jtrangeo.2019.01.009.
Behdani B, et al. Port-hinterland transport and logistics: Emerging trends and frontier research. Maritime Economics & Logistics. 2020;22(1):1-25. DOI: 10.1057/s41278-019-00137-3.
Ferrari C, Parola F, Gattorna E. Measuring the quality of port hinterland accessibility: The Ligurian case. Transport Policy. 2011;18(2):382-391. DOI: 10.1016/j.tranpol.2010.11.002.
Wang J, Yang Z, Lu CF. Two new methods for partitioning port hinterland. Navigation of China. 2005;(03):57-61. https://kns-cnki-net-s.svpn.dlmu.edu.cn:8118/ kns8/defaultresult/index [Accessed 22nd Mar. 2022].
Wang J, Zhang H. Analysis on hinterland segmentation in port project. IEEE 2009 International Conference on Engineering Computation, 2-3 May 2009, Hong Kong, China. p. 84-88. DOI: 10.1109/icec.2009.37.
Wan S, et al. On determining the hinterlands of China's foreign trade container ports. Journal of Transport Geography. 2020;85:102725. DOI: 10.1016/j.jtrangeo.20 20.102725.
Kramberger T, et al. Port hinterland modelling based on port choice. Promet – Traffic&Transportation. 2015;27(3):195-03. DOI: 10.7307/ptt.v27i3.1611.
Simini F, et al. A universal model for mobility and migration patterns. Nature. 2012;484(7392):96-100. DOI: 10.1038/nature10856.
Wang N, Zhao Y, Chen R. The city complex network of information cyberspace based on radiation model. Economic Geography. 2015;35(4):76-83. DOI: 10.15957/j.cnki.jjdl.2015.04.011.
Zhou WX, et al. Predicting highway freight transportation networks using radiation models. Physical Review E. 2020;102(5):052314. DOI: 10.1103/PhysRevE.102.052.
Zhang X. Spatial restructuring and urban system of extended metropolitan regions in central China. Progress in Geography. 2007;(06):57-67. https://kns-cnki-net-s.svpn.dlmu.edu.cn:8118/kns8/defaultresult/index [Accessed 22nd Mar. 2022].
Wang L, et al. Research on urban spheres of influence based on improved field model in central China. Journal of Geographical Sciences. 2011;21(3):489-502. DOI: 10.1007/s11442-011-0859-0.
Liu, B. Cheng C. Spatial characteristic of economic contract and logistic elements flow of important cities in Jiangsu costal areas. Resources and Environment in the Yangtze Basin. 2012;21(06):653-658. https://kns-cnki-net-s.svpn.dlmu.edu.cn:8118/kns8/defaultresult/index [Accessed 22nd Mar. 2022].
Wang H, et al. A comparative study of methods for delineating sphere of urban influence: A case study on central China. Chinese Geographical Science. 2014;24(6):751-762. DOI: 10.1007/s11769-014-0678-1.
Zhu J, Chen X, Chen T. Spheres of urban influence and factors in Beijing-Tianjin-Hebei Metropolitan Region based on viewpoint of administrative division adjustment. Chinese Geographical Science. 2017;27(5):709-721. DOI: 10.1007/s11769-017-0881-y.
Han Z, et al. Comprehensive assessment of inland spatial accessibility of the northeast seaports. Advances in Earth Science. 2017;32(5):502-512. DOI: 10.11867/j.Issn.1001-8166.2017.05.0502.
Peng F. Economic spatial connection and spatial structure of Guangdong-HongKong-Maocao Greater Bay and the surrounding area cities – An empirical analysis based on improved gravity model and social network analysis. Economic Geography. 2017;37(12):57-64. DOI: 10.15957/j.cnki.jjdl.2017.12.008.
Song Q, et al. Study on spatial structure of urban network in urban agglomeration in the middle reaches of the Yangtze River. Areal Research and Development. 2017;36(3):59-65. DOI: CNKI:SUN:DYYY.0.2017-03-011.
Li Z, Dong C, Zhang Y. Intensity of urban regional economic linkages in three provinces of Northeast China. Remote Sensing Information. 2018;33(02):108-113. DOI: 10.3969/j.issn.1000-3177.2018.02.017.
Cao B, Fan X. Research on coordinated development of port logistics and hinterland economy: A case study of Taicang port. Geography and Geo-Information Science. 2019:35(05):126-132. DOI: 10.3969/j.issn.1672-0504.2019.05.020.
Wu J, et al. Delineating urban hinterland boundaries in the Pearl River Delta: An approach integrating toponym co-occurrence with field strength model. Cities. 2020;96:102457. DOI: 10.1016/j.cities.2019.102457.
Barré A, et al. Geography of transport. Space populations societies. 2005;3:485-486. DOI: 10.4000/eps.3054.
Pohlmann JT. Use and interpretation of factor analysis in The Journal of Educational Research: 1992-2002. The Journal of Educational Research. 2004;98(1):14-23. DOI: 10.3200/JOER.98.1.14-23.
He D, et al. Spatial–temporal evolution of the port–hinterland relationship: A case study of the Midstream Yangtze River, China. Growth and Change. 2019;50(3):1043-1061. DOI: 10.1111/grow.12320.
China Railway. "Steel camel caravan" loaded with New Year's goods to enrich people's dinner table. http://www.china-railway.com.cn/xwzx/zhxw/202201/t20220124_119727.html [Accessed 27th Dec. 2022].
Shaanxi Daily News. From a small fourth-class station to a world-class inland port - the ambition of Xi'an International Port area. https://www.cqcb.com/shanxisheng/2022-09-19/5030833_pc.html [Accessed 19th Sep. 2022].
China Water Transport News. Multimodal transport enters a period of full development with a series of breakthrough initiatives. https://supplier.alibaba.com/trade/domestic/PXHS96Y2.htm [Accessed 7th Jan. 2020].
Xiamen "14th Five-Year Plan" for the development of modern logistics industry. https://www.investxiamen.org.cn/show/571.html [Accessed 27th Dec. 2022].
Xiamen Port Authority. http://www.sme.net.cn/jmzs/zmq/show.asp?id=7283& topic=21 [Accessed 27th Dec. 2022].
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