1 |
Ali A S (2009). Cost decision making in building maintenance practice in Malaysia. Journal of Facilities Management, 7(4): 298–306
https://doi.org/10.1108/14725960910990044
|
2 |
Alwaer H, Clements-Croome D J (2010). Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings. Building and Environment, 45(4): 799–807
https://doi.org/10.1016/j.buildenv.2009.08.019
|
3 |
Atzeri A M, Cappelletti F, Tzempelikos A, Gasparella A (2016). Comfort metrics for an integrated evaluation of buildings performance. Energy and Buildings, 127: 411–424
|
4 |
Au-Yong C P, Ali A S, Ahmad F (2014). Improving occupants’ satisfaction with effective maintenance management of HVAC system in office buildings. Automation in Construction, 43: 31–37
https://doi.org/10.1016/j.autcon.2014.03.013
|
5 |
Bakens W, Foliente G, Jasuja M (2005). Engaging stakeholders in performance-based building: Lessons from the Performance-Based Building (PeBBu) Network. Building Research and Information, 33(2): 149–158
https://doi.org/10.1080/0961321042000322609
|
6 |
Breen R L (2006). A practical guide to focus-group research. Journal of Geography in Higher Education, 30(3): 463–475.
https://doi.org/10.1080/03098260600927575
|
7 |
Buildings Performance Institute Europe (BPIE) (2011). Europe’s Buildings under the Microscope. A country-by-country review of the energy performance of buildings
|
8 |
Carlucci D (2010). Evaluating and selecting key performance indicators: An ANP-based model. Measuring Business Excellence, 14(2): 66–76
https://doi.org/10.1108/13683041011047876
|
9 |
Cecconi F, Dejaco M C, Maltese S (2014). Efficiency Indexes for building condition assessment. International Journal for Housing Science, 38(4): 271–279
|
10 |
Chan D W M, Hung H T W, Chan A P C, Lo T K K (2014). Overview of the development and implementation of the mandatory building inspection scheme (MBIS) in Hong Kong. Built Environment Project and Asset Management, 4(1): 71–89
|
11 |
Chotipanich S (2004). Positioning facility management. Facilities, 22(13/14): 364–372
https://doi.org/10.1108/02632770410563086
|
12 |
Chung M H, Rhee E K (2014). Potential opportunities for energy conservation in existing buildings on university campus: A field survey in Korea. Energy and Building, 78: 176–182
https://doi.org/10.1016/j.enbuild.2014.04.018
|
13 |
Cotts D, Roper K O, Payant R P (2009). The Facility Management Handbook. New York: AMACOM
|
14 |
Douglas J (1996). Building performance and its relevance to facilities management. Facilities, 14(3/4): 23–32
https://doi.org/10.1108/02632779610112508
|
15 |
Droutsa K G, Kontoyiannidis S, Dascalaki E G, Balaras C A (2016). Mapping the energy performance of hellenic residential buildings from EPC (energy performance certificate) data. Energy, 98: 284–295
https://doi.org/10.1016/j.energy.2015.12.137
|
16 |
Duffuaa S O, Ben-Daya M (2009). Handbook of Maintenance Management and Engineering. London: Springer
|
17 |
European Committee for Standardization (CEN) (2006). EN 15221–1: European Standard in Facility Management-Part 1: Terms and Definitions, CEN, Brussels
|
18 |
European Committee for Standardization (CEN) (2011). EN 15221–3: European Standard in Facility Management-Part 3: Guidance on Quality in Facility Management, CEN, Brussels
|
19 |
Flores-Colen I, de Brito J, de Freitas V P (2008). Stains in facades’ rendering—Diagnosis and maintenance techniques’ classification. Construction & Building Materials, 22(3): 211–221
https://doi.org/10.1016/j.conbuildmat.2006.08.023
|
20 |
Flores-Colen I, de Brito J, Freitas V (2010). Discussion of criteria for prioritization of predictive maintenance of building façades: survey of 30 experts. Journal of Performance of Constructed Facilities, 24(4): 337–344
https://doi.org/10.1061/(ASCE)CF.1943-5509.0000104
|
21 |
Gibson E J (1982). Working with the Performance Approach to Building. Report of Working Commission W60, Publication No. 64, CIB, Rotterdam
|
22 |
Goins J, Moezzi M (2013). Linking occupant complaints to building performance. Building Research and Information, 41(3): 361–372
https://doi.org/10.1080/09613218.2013.763714
|
23 |
Hallas J (2014). The focus group method: Generating high quality data for empirical studies. In: Proceedings of ascilite Dunedin 2014. 519–523
|
24 |
Heo Y, Choudhary R, Augenbroe G A (2012). Calibration of building energy models for retrofit analysis under uncertainty. Energy and Building, 47: 550–560
https://doi.org/10.1016/j.enbuild.2011.12.029
|
25 |
Housing, Planning and Lands Bureau (2006). Mandatory Building Inspection Scheme
|
26 |
Hovde P J, Moser K (2004). Performance based methods for service life prediction state of the art reports part A
|
27 |
Ibem E O, Opoko A P, Adeboye A B, Amole D (2013). Performance evaluation of residential buildings in public housing estates in Ogun State, Nigeria: Users’ satisfaction perspective. Frontiers of Architectural Research, 2(2): 178–190
https://doi.org/10.1016/j.foar.2013.02.001
|
28 |
Innes J E Booher D E (2000). Indicators for sustainable communities: A strategy building on complexity theory and distributed intelligence. Planning Theory & Practice, 1(2): 173–186
|
29 |
International Building Code (2018). Chapter 3 Occupancy classification and code
|
30 |
International Organization for Standardization (ISO) 11863 (2011). Buildings and building-related facilities—Functional and user requirements and performance—Tools for assessment and comparison
|
31 |
Khalil N, Kamaruzzaman S N, Baharum M R, Husin N (2016). The performance-risk indicators (PRI) in building performance rating tool for higher education buildings. Journal of Facilities Management, 14(1): 36–49
https://doi.org/10.1108/JFM-03-2015-0009
|
32 |
Kim S H, Augenbroe G (2013). Decision support for choosing ventilation operation strategy in hospital isolation rooms: A multi-criterion assessment under uncertainty. Building and Environment, 60: 305–318
https://doi.org/10.1016/j.buildenv.2012.09.005
|
33 |
Kim Y H, Kim H H (2008). Development and validation of evaluation indicators for a consortium of institutional repositories: A case study of dcollection. Journal of the American Society for Information Science and Technology, 59(8): 1282–1294
https://doi.org/10.1002/asi.20818
|
34 |
Krueger R A, Casey M A (2009). Focus Groups: A Practical Guide for Applied Research. Thousand Oaks: Sage Publications
|
35 |
Kumar U, Galar D, Parida A, Stenstrom C, Berges L (2013). Maintenance performance metrics: A state of the art review. Journal of Quality in Maintenance Engineering, 19(3): 233–277
https://doi.org/10.1108/JQME-05-2013-0029
|
36 |
Lavy S, Garcia J A, Dixit M K (2010). Establishment of KPIs for facility performance measurement: Review of literature. Facilities, 28(9/10): 440–464
https://doi.org/10.1108/02632771011057189
|
37 |
Lavy S A, Garcia J, Dixit M K (2014). KPIs for facility’s performance assessment, Part II: identification of variables and deriving expre-ssions for core indicators. Facilities, 32(5/6): 275–294
|
38 |
Lee W L (2013). A comprehensive review of metrics of building environmental assessment schemes. Energy and Building, 62: 403–413
https://doi.org/10.1016/j.enbuild.2013.03.014
|
39 |
Lewis A, Elmualim A, Riley D (2011). Linking energy and maintenance management for sustainability through three American case studies. Facilities, 29(5/6): 243–254
|
40 |
Liu F, Jiang H, Lee Y M, Bobker M, Snowdon J (2011). Statistical Modeling for Anomaly Detection, Forecasting and Root Cause Analysis of Energy Consumption for a Portfolio of Buildings. Young: 25165
|
41 |
Love P E D, Simpson I, Hill A, Standing C (2013). From justification to evaluation: Building information modeling for asset owners. Automation in Construction, 35: 208–216
https://doi.org/10.1016/j.autcon.2013.05.008
|
42 |
Lützkendorf T (2005). A comparison of international classifications for performance requirements and building performance categories used in evaluation methods. In: Proceedings of Performance Based Building. Int. CIB Symp. Combining forces. Helsinki: VTT and RIL
|
43 |
Lützkendorf T, Lorenz D P (2006). Using an integrated performance approach in building assessment tools. Building Research and Information, 34(4): 334–356
https://doi.org/10.1080/09613210600672914
|
44 |
Marr B (2010). How to design key performance indicators. Advanced Performance Institute
|
45 |
Morgan D L (1998). The Focus Group Guidebook. Thousand Oaks: Sage
|
46 |
Mwasha A, Williams R G, Iwaro J (2011). Modeling the performance of residential building envelope: The role of sustainable energy performance indicators. Energy and Building, 43(9): 2108–2117
https://doi.org/10.1016/j.enbuild.2011.04.013
|
47 |
Ornetzeder M, Wicher M, Suschek-Berger J (2016). User satisfaction and well-being in energy efficient office buildings: Evidence from cutting-edge projects in Austria. Energy and Building, 118: 18–26
https://doi.org/10.1016/j.enbuild.2016.02.036
|
48 |
Pati D, Park C S, Augenbroe G (2006). Roles of building performance assessment in stakeholder dialogue in AEC. Automation in Construction, 15(4): 415–427
https://doi.org/10.1016/j.autcon.2005.06.009
|
49 |
Pati D, Park C S, Augenbroe G (2009). Roles of quantified expressions of building performance assessment in facility procurement and management. Building and Environment, 44(4): 773–784
https://doi.org/10.1016/j.buildenv.2008.06.018
|
50 |
Peters D A (1993). Improving quality requires consumer input: using focus groups. Journal of Nursing Care Quality, 7(2): 34–41
https://doi.org/10.1097/00001786-199301000-00006
pmid: 8428011
|
51 |
Preiser W, Nasar J (2008). Assessing building performance: Its evolution from post-occupancy evaluation. Archnet-IJAR, 2(1): 84–99
|
52 |
Ruparathna R, Hewage K, Sadiq R (2016). Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings. Renewable & Sustainable Energy Reviews, 53: 1032–1045
https://doi.org/10.1016/j.rser.2015.09.084
|
53 |
Sharmin T, Gül M, Li X, Ganev V, Nikolaidis I, Alhussein M (2014). Monitoring building energy consumption, thermal performance, and indoor air quality in a cold climate region. Sustainable Cities and Society, 13: 57–68
https://doi.org/10.1016/j.scs.2014.04.009
|
54 |
Silva A, de Brito J, Gaspar P L (2016). Methodologies for Service Life Prediction of Buildings. Cham: Springer International Publishing
|
55 |
Sinopoli J (2009). How do we measure the performance of a building? Smart Buildings LLC, 1–4
|
56 |
Sinou M, Kyvelou S (2006). Present and future of building performance assessment tools. Management of Environmental Quality, 17(5): 570–586
https://doi.org/10.1108/14777830610684530
|
57 |
Straub A (2003). Using a condition-dependent approach to maintenance to control costs and performances. Journal of Facilities Management, 1(4): 380–395
https://doi.org/10.1108/14725960310808079
|
58 |
Sullivan G P, Pugh R, Melendez A P, Hunt W D (2010). Operations & Maintenance Best Practices: A Guide to Achieving Operational Efficiency. U. S. Department of Energy, Washington DC
|
59 |
Talamo C, Bonanomi M (2015). Knowledge Management and Information Tools for Building Maintenance and Facility Management. Berlin: Springer
|
60 |
Talon A, Boissier D, Chevalier J L, Hans J (2005). Temporal quantification method of degradation scenarios based on FMEA. In: Proceedings of 10th International conference on durability of building materials and components. Lyon, France: TT4–139
|
61 |
Wang S, Yan C, Xiao F (2012). Quantitative energy performance assessment methods for existing buildings. Energy and Building, 55: 873–888
https://doi.org/10.1016/j.enbuild.2012.08.037
|
62 |
Weber A, Thomas R (2005). Key Performance Indicators—Measuring and Managing the Maintenance. IAVARA Work Smart: 1–16
|
63 |
Wilbeck V, Dahlgren M A, Oberg G (2007). Learning in focus groups: An analytical dimension for enhancing focus group research. Qualitative Research, 7(2): 249–267
https://doi.org/10.1177/1468794107076023
|
64 |
Yan D, O’Brien W, Hong T Z, Feng X H, Gunay H B, Tahmasebi F, Mahdavi A (2015). Occupant behavior modeling for building performance simulation: Current state and future challenges. Energy and Buildings, 107: 264–278
|
65 |
Zhang L M, Wu X G, Skibniewski M, Zhong J B, Lu Y J (2014). Bayesian-network-based safety risk analysis in construction projects. Reliability Engineering & System Safety, 131: 29–39
https://doi.org/10.1016/j.ress.2014.06.006
|