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A Spatial Structure of Agglomeration Pattern Near High-Speed Rail Station of Korea and Japan

한국과 일본 고속철도역 주변 집적 공간구조에 대한 관측 연구

  • KIM, Kyung-Taek (Dept. of Civil and Environmental Engineering, Tokyo Institute of Technology) ;
  • KIM, Jung-Hoon (Dept. of Saemaul Studies and International Development, Yeungnam Univ.)
  • 김경택 (도쿄공업대학 토목환경공학계) ;
  • 김정훈 (영남대학교 새마을국제개발학과)
  • Received : 2018.10.22
  • Accepted : 2018.11.06
  • Published : 2018.12.31

Abstract

The operation of high-speed rail (HSR) has an effect on the agglomeration economies, and the impact is shown as a relocation of individual firm and worker to where business activity can be maximized. The proximity to the HSR station could be considered as a core district to maximize the industrial benefit through the HSR network. From this perspective, this study considers the agglomeration effect of HSR within the HSR station-area and analyzed the agglomerated spatial pattern through hotspot analysis by service industry in the cases of Korea and Japan using GIS. This study analyzed the service industry within 1km distance from 8 HSR stations of Korea and 4 Kyushu Shinkansen stations of Japan. The results suggest that the hotspot patterns are observed in the service industry within 1km distance from the HSR station of Korea and Japan, except for two HSR stations of Gupo station and Kagoshima-Chuo station. Leisure, amusement, association, and other specific service industries could be affected by HSR passengers and knowledge-spillovers through HSR station. Therefore, the observed hotspot districts near the HSR station-area could explain an agglomeration pattern of the service industry through a closeness to the HSR station. Further, we could expect that the impact of HSR affects the service industry, and the impact could attract business activities of the service-area to maximize their benefit from HSR travelers. With the result, it is required to build up a supportive policy to maximize the HSR's impact on the service industry when considering the HSR station-area development.

고속철도(HSR)의 운영은 집적이익에 영향을 미치며, 개별 경제활동들은 경제적 이익을 극대화할 수 있는 곳으로 이전한다. 이러한 측면에서 볼 때, 고속철도역과의 인접성은 고속철도 네트워크를 통한 이익 극대화를 영위할 수 있는 핵심구역으로 간주할 수 있다. 본 연구에서는 GIS를 이용한 한국과 일본의 서비스 산업 핫스팟 분석을 통해 고속철도역 주변에 대한 집적효과를 분석하고자 하였다. 한국과 일본의 집계구 데이터를 활용하여 분석을 수행하였으며, 일정 규모 이상 도심에 위치하고 있는 고속철도역이 입지하고 있는 한국 8개, 일본 큐슈신칸센 4개역을 대상으로 하였다. 분석결과 구포역과 카고시마츄오역 등 2개 역을 제외한 나머지 10개 역들 반경 1km 이내에서 서비스산업의 집적이 관측되었다. 여가, 레저, 협회 및 특정 전문 서비스산업들의 경우 고속철도승객을 통한 관광객 유입 혹은 지식교류 등의 효과를 영위함으로써 사회경제적 이익을 얻을 수 있다. 이를 고려했을 때, 역 주변에 대한 핫스팟의 도출은 역 접근성과의 관련성을 보여줄 수 있을 것이다. 분석결과를 정책적으로 보았을 때, 향후 역 주변 개발에 있어서 서비스 산업과 관련 산업들의 사회경제적 이익을 극대화할 수 있도록 지원 또한 필요할 것이다.

Keywords

References

  1. Chatman, D.G. and R.B. Noland. 2011. Do public transport improvements increase agglomeration economies? A review of literature and an agenda for research. Transport Reviews 31(6):725-742. https://doi.org/10.1080/01441647.2011.587908
  2. Getis, A. and J.K. Ord. 1992. The analysis of spatial association by use of distance statistics. Geographical Analysis 24(3): 189-206. https://doi.org/10.1111/j.1538-4632.1992.tb00261.x
  3. Graham, D.J. and P.C. Melo. 2011 Assessment of wider economic impacts of highspeed rail for Great Britain. Transportation Research Record 2261(1):15-24. https://doi.org/10.3141/2261-02
  4. Hensher, D.A., R.B. Ellison and C. Mulley. 2014. Assessing the employment agglomeration and social accessibility impacts of high speed rail in Eastern Australia. Transportation 41(3):463-493. https://doi.org/10.1007/s11116-013-9480-7
  5. Johansson, B. and J.M. Quigley. 2004. Agglomeration and networks in spatial economics. Papers in Regional Science 83(1):165-176. https://doi.org/10.1007/s10110-003-0181-z
  6. Kim, J.H. and K.T. Kim. 2016. An analysis of changes for regional spatial structure near Dongdaegu high-speed rail station after KTX opening: Focusing on the changed agglomeration of population and industries. The Korea Spatial Planning Review 90:99-115. https://doi.org/10.15793/kspr.2016.90..007
  7. Kim, K.T. and J.H. Kim. 2018. An Observation on the Socioeconomic Spatial Structure of Industry near High Speed rail Station -Area with Consideration for proximity to the Station. Korean Public Administration Quarterly 30(3):627-650. https://doi.org/10.21888/KPAQ.2018.9.30.3.627
  8. Malmberg, A., B. Malmberg and P. Lundequist. 2000. Agglomeration and firm performance: economies of scale, localisation and urbanisation among Swedish export firms. Environment and Planning a 32(2):305-321. https://doi.org/10.1068/a31202
  9. Shao, S., Z. Tian and L. Yang. 2017. High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta Region. Journal of Transport Geography 64:174-183. https://doi.org/10.1016/j.jtrangeo.2017.08.019
  10. Wetwitoo, J. and H. Kato. 2017. Interregional transportation and economic productivity: a case study of regional agglomeration economies in Japan. The Annals of Regional Science 59(2):321-344. https://doi.org/10.1007/s00168-017-0833-6