DOI QR코드

DOI QR Code

Presumed Influence Factors of User Satisfaction of Seoul Digital Industrial Complex using PLS-Regression Model

PLS 회귀분석을 통한 서울디지털산업단지 이용자 만족도 영향요인 규명

  • 정광섭 (녹색재단 녹색정책연구소) ;
  • 박규용 (희림종합건축사사무소 주거설계본부) ;
  • 이주형 (희림종합건축사사무소 주거설계본부)
  • Received : 2014.04.28
  • Accepted : 2014.06.12
  • Published : 2014.06.30

Abstract

Domestic industrial complexes have more loss competitiveness due to their deterioration length and environmental problems. Therefore, it is necessary to suggest the direction of realignment as advanced industrial estates and establish new alternative plans for improving the quality of public and environmental designs as well as reinforcing the competitive power. This study examined the design planning factors affecting the service users' satisfaction in the Seoul Digital Industrial Complex through a PLS regression model. The research result showed that 12 crucial design planning factors out of a total 31 planning factors have a more than 1.0 VIP. In addition, 8 comparatively important planning aspects that were measured between 0.9 and 1.0 were also investigated. These factors were the strategic design planning factors estimating the quantitative priority while enforcing the design improvement project and they should be considered as a useful material for strengthening the competitive power of the Seoul Digital Industrial Complex.

국내의 산업단지는 노후화와 환경문제 등으로 인하여 점점 더 경쟁력을 상실하고 있는 실정이다. 첨단산업단지로의 재편을 위해 공공 및 환경디자인의 질적 향상과 경쟁력 강화를 위한 방향성 정립이 시의적으로 필요하다. 본 연구는 서울디지털산업단지의 이용자 만족도에 영향을 미치는 계획요인을 PLS 회귀모형을 통해 규명하고자 하였다. 분석결과, 총 32개의 계획요인 중 중요도(VIP)값이 1.0 이상으로 매우 의미 있는 디자인 계획요인이 12개로 나타났으며, 0.9~1.0 사이의 비교적 중요한 계획요인이 8개로 도출되었다. 이들 계획요인은 디자인개선사업 시행 시 정량적 우선순위를 가늠할 수 있는 전략적 디자인 계획요인으로 판단할 수 있으며, 서울디지털산업단지의 경쟁력 강화에도 도움이 될 것으로 사료된다.

Keywords

References

  1. Department of Urban Management. Guro-gu Office. Development Plan Research for Seoul Digital Industrial Complex, Guro-gu Office, 2012.
  2. Korea Industrial Complex Corp. Industrial Trend Analysis for National Industrial Complex, Korea Industrial Complex Corp, 2012.
  3. Gwangseop Jeong. Development of Sustainable Design Guidelines for Seoul Digital Industrial Complex, p.4-5, Green Policy Institute, 2012.
  4. Gwangseop Jeong. A Study on problems of design technology development Projects: Environment Design Part, Green Policy Institute, 2012.
  5. Jinyoung Kim. Hyejeon Kang. The Era of 10 million Industrial Complex, Issue & Report of Industrial Complex, vol 1. p.11, Korea Industrial Complex Corp. 2013.
  6. Presidential Commission on Architecture Policy. Development Plan Research for Architecture Culture and Construction Technology, 2006
  7. Seinhae Baik. A Study on the Strategy of Urban Design of Seoul, p.3-4, Seoul Development Institute, 2008.
  8. Yookyung Kim. "Roles Strategic Management and of Place Branding", The East-West Channel, vol. 20, 2006.
  9. Manuel Castells. Peter Hall. Technopoles of the World : the making of twenty-first-century industrial complex, p.165-195, Routledge, 1994.
  10. Hyejeon Kang. "Case study on Creative Regeneration of Old Industrial Complex", Issue & Report of Industrial Complex, vol 9. p.4-8, Korea Industrial Complex Corp. 2013.
  11. Chi-il Hwang, "A Study on Tenant Companies' Satisfaction Level with respect to Complex Environments at General Industrial Complexes: A Case Studies of Pohang 4 and Waegwan General Industrial Complex", Yeungnam University, 2010.
  12. Young-kwon Park, Chi-don Oh, Chan-sik Park. An Analysis on Satisfaction of the Apartment Type Factory Facility in Seoul Digital Industrial Complex, 2010 AIK General Meeting and Spring Conference, vol 30, issue 1, 2010.
  13. Ki-sool Cho, Woo-jong Lee. A Study on Improving Traffic Satisfaction through an Analysis of National Industrial Complex: Based on the survey of the employees working for the firms that are occupied in the Seoul Digital Industrial Complex 1, Journal of Korea Planners Association, vol 46, issue 7, 2011.
  14. Cheon-kwuan Kim, Mi-kyung Shin. An Empirical Analysis on the Locational Satisfaction of Companies in Local Industrial District: A Case Study on the Seobu Local Industrial District, Incheon City, Urban Geography, vol 15, issue 3, 2012.
  15. Myung Hoe Huh. SPSS Statistics Data Validation, Neural Networks & PLS Regression, Data Solution, 2014.
  16. Gwangseop Jeong. "Presumed Influence Factors of Decision-Making of Mega-Projects", The Board of Audit and Inspection, vol 19, pp.91-124, 2012.
  17. Wold, Svante. "Exponentially weighted moving principal components analysis and projections to latent structures", Chemometrics and Intelligent Laboratory Systems, vol 23, issue 1, pp.149-161, 1994. DOI: http://dx.doi.org/10.1016/0169-7439(93)E0075-F