All Issue

2020 Vol.11, Issue 4

General Article

Identifying drivers and barriers to green remodeling projects from the perspective of project participants
Suryeon Kim1
,
Yonghan Ahn2
,
Jitaek Lim3†
1Ph.D. Student, College of Architecture, Texas A & M University, United States
2Associate Professor, Department of Architecture and Architectural Engineering, Hanyang University ERICA Campus, South Korea
3Professor, Department of Architecture and Architectural Engineering, Hanyang University ERICA Campus, South Korea
*slarc@hanmail.net
31 December 2020. pp. 192-208
PDF XML Citation
Abstract

Green remodeling is becoming popular as it reduces greenhouse gas emissions in the existing building stock and improves the quality of the indoor environment. South Korean government is encouraging this trend by introducing green remodeling policies and incentives. To achieve successful implementations of green remodeling approaches, smooth cooperation among the various participants (i.e., design companies, construction companies, and consulting companies), with everyone understanding each requirement and what is expected of them, as well as support policies that take into account the characteristics of each participant are needed. Thus, this study aimed to examine the major drivers and barriers of green remodeling projects in South Korea for the main project participants. To achieve the research objectives, this study employed a questionnaire survey aimed at experienced practitioners. The survey results were analyzed by exploratory factor analysis and multivariate analysis of variance (MANOVA). As a result, four main drivers for the activation of green remodeling projects were identified: (1) environmental impacts, (2) social factors, (3) economic effects, and (4) occupants’ satisfaction. There were five barriers: (1) lack of technology, (2) uncertainty, (3) lack of social acceptability, (4) economic feasibility, and (5) government policies. Design and construction companies regarded occupants’ satisfaction as the most important driver factor while consulting companies thought social factors were the most important. For the barrier factors, all the participant groups considered economic feasibility to be the most important. These results can theoretically support the idea that adequate regulations, standards, and supporting policies are needed to promote green remodeling projects. Identifying the targets and main concerns of project participants will help boost technical development, promote collaboration, and establish effective processes. Municipalities interested in promoting green remodeling projects will find this study useful.

Keywords
green remodeling
green retrofit
exploratory factor analysis
MANOVA
South Korean construction industry
References
1
IPCC, Climate Change 2014: Mitigation of Climate Change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, (2014).
2
A.R. Pearce and Y.H. Ahn, Sustainable buildings and infrastructure: Paths to the future. (2017), Routledge. 10.9774/gleaf.9781315562643
3
Z. Ma, P. Cooper, D. Daly, and L. Ledo, Existing building retrofits: Methodology and state-of-the-art, Energy and Buildings. 55(2012), pp. 889-902. (2012), DOI: 10.1016/j.enbuild.2012.08.018. 10.1016/j.enbuild.2012.08.018
4
H. Ritchie and M. Roser, CO2 and other Greenhouse Gas Emissions, Published online at OurWorldInData.org. Retrieved from: 'https://ourworldindata.org/co2-and-other-greenhouse-gas-emissions' [Online Resource]. (2019).
5
Ministry of Environment, 2018, 2030 basic roadmap for reducing greenhouse gas emissions.
6
K. Lee, B. Koo, B. Park, Y. H Ahn, The development of an energy-efficient remodeling framework in South Korea. Habitat International. 53 (2016), pp. 430-441. 10.1016/j.habitatint.2015.12.003
7
S. Barlow and D. Fiala, Occupant comfort in UK offices-How adaptive comfort theories might influence future low energy office refurbishment strategies. Energy and Buildings. 39(7) (2007), pp. 837-846. 10.1016/j.enbuild.2007.02.002
8
M.M. Rahman, M.G. Rasul, and M.M.K. Khan, Energy conservation measures in an institutional building in sub-tropical climate in Australia. Applied Energy. 87(10) (2010), pp. 2994-3004. 10.1016/j.apenergy.2010.04.005
9
A.A. Kumar and B. M. Suman, Experimental evaluation of insulation materials for walls and roofs and their impact on indoor thermal comfort under composite climate. Building and Environment. 59 (2013), pp. 635-643. 10.1016/j.buildenv.2012.09.023
10
Ministry of land, infrastructure and transport, 2016, Statics on Buildings, Sejong si, Republic of Korea.
11
B.G. Hwang, X. Zhao, Y.L. See, and Y. Zhong, Addressing risks in green retrofit projects: The case of Singapore. Project Management Journal. 46(4) (2015), pp. 76-89. 10.1002/pmj.21512
12
World GBC 2017, The Global Status Report 2017.
13
IEA 2016, World Energy Outlook 2016.
14
A. Kumar, P. Chani, and R. Deoliya, Green retrofit potential in existing research laboratories and demonstration of energy efficient and sustainable technologies: case study. Int. J. Sci. Eng. Technol. Res. 3(3) (2014), pp. 400-405.
15
X. Jin, C. Meng, Q. Wang, J. Wei, and L. Zhang, A study of the green retrofit industry chain. Sustainable Cities and Society. 13 (2014), pp. 143-147. 10.1016/j.scs.2014.05.009
16
V. Tramontin, C. Loggia, and C. Trois, Strategies for sustainable building design and retrofit in developing countries. New goals for green buildings in South Africa. Journal of Construction. 5(1) (2012), pp. 12-17.
17
A. Deslatte, K. Wassel, and R.C. Feiock, Inequality as a Barrier to Green Building Policy Adoptions in Cities. In Sustainable Human-Building Ecosystems. (2015), pp. 231-244. 10.1061/9780784479681.025
18
S. Bond, Barriers and drivers to green buildings in Australia and New Zealand. Journal of Property Investment & Finance. 29(4/5) (2011), pp. 494-509. 10.1108/14635781111150367
19
A.O. Windapo, Examination of green building drivers in the South African construction industry: economics versus ecology. Sustainability. 6(9) (2014), pp. 6088-6106. 10.3390/su6096088
20
B.G. Hwang and J. S. Tan, Green building project management: obstacles and solutions for sustainable development. Sustainable development. 20(5) (2012), pp. 335-349. 10.1002/sd.492
21
X. Liang, Y. Peng, and G. Q. Shen, A game theory based analysis of decision making for green retrofit under different occupancy types. Journal of Cleaner Production. 137 (2016). pp. 1300-1312. 10.1016/j.jclepro.2016.07.200
22
Y.I. Kwon, D.W. Hwang, S.H. Jung, K.S. Lee, J.I. Park, and K. Yoon, Deducing the Critical Enhancement Task of Green Remodeling based on IPA Method. Journal of Construction Engineering and Management. 17(2) (2016), pp. 58-69. 10.6106/KJCEM.2016.17.2.058
23
B.R. Park, K.H. Lee, B.K. Koo, and K.T. Kim, Green Remodeling Effects of Republic Building Energy Consumption Analysis. Journal of the Architectural Institute of Korea. 36(2) (2016), pp. 1343-1344.
24
W.T. Son and K.H. Lee, A Study on the Optimization of Green Remodeling by Energy Performance Analysis in the Public Buildings. The Society of Air-conditioning and Refrigerating Engineers of Korea. 2015(6) (2015), pp. 388-391.
25
B.R. Park, B.K. Koo, K.T. Kim, and K.H. Lee. The study on the Establishment of Green Remodeling Process. Journal of Korean Institute of Architectural Sustainable Environment and Building Systems. 8(3) (2014), pp. 143-149.
26
S.Y. Jung and J.H. Yu. Tax Exemption Grant Proposal to Promote Green Remodeling Project Implementation. Journal of Construction Engineering and Management. 17(4) (2016), pp. 66-75. 10.6106/KJCEM.2016.17.4.066
27
M.H. Lee, T.H. Hong, and K.B. Jeong. Framework for Development of Optimal Decision Support System for Green Remodeling in Multi-Family Housing Complexes. Journal of Architectural Institute of Korea, 37 (1) (2017), pp. 895-896.
28
R.M. Groves, F.J. Fowler Jr., M. p. Couper, J.M. Lepkowski, E. Singer and R. Tourangeau, Survey methodology (Vol. 561). 2011, John Wiley & Sons.
29
M.J. Norusis, SPSS: SPSS for Windows, 1993, base system user's guide release 6.0 SPSS Inc.,
30
A.P. Field, (2005). Discovering Statistics Using SPSS (2nd edition). Sage: London.
31
M.A. Pett, M.R. Lackey, and J.J. Sullivan, Making sense of factor analysis: The use of factor analysis for instrument development in health care research. 2003, Sage. 10.4135/9781412984898
32
J. Hair, W. Black, B. Babin, and R. Anderson, Multivariate Data Analysis Seventh Edition Prentice Hall. (2010). Pearson.
33
C. Kibert and S. Construction, Green Building Design and Delivery. 2008, Hoboken, N. John Wiley and Sons.
34
Green remodeling center 2018 [Online]. Available at: http://www.greenremodeling.or.kr/ [Accessed 01/10/2018]
35
K.P. Weinfurt. Multivariate analysis of variance. In L. G. Grimm & P. R. Yarnold (Eds.), Reading and understanding multivariate statistics. (1995). pp. 245-276. Washington, DC, US: American Psychological Association.
Information
  • Publisher :Sustainable Building Research Center (ERC) Innovative Durable Building and Infrastructure Research Center
  • Publisher(Ko) :건설구조물 내구성혁신 연구센터
  • Journal Title :International Journal of Sustainable Building Technology and Urban Development
  • Volume : 11
  • No :4
  • Pages :192-208
  • Received Date : 2020-09-05
  • Accepted Date : 2020-11-11
  • DOI :https://doi.org/10.22712/susb.20200015
Journal Informaiton International Journal of Sustainable Building Technology and Urban Development International Journal of Sustainable Building Technology and Urban Development
Online Submission
  • scopus
  • NRF
  • KOFST
  • KISTI Current Status
  • KISTI Cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close