Enhancing Building Services in Higher Education Campuses through Participatory Science
Abstract
:1. Introduction
2. Methodology
3. Application to University Campus
3.1. Overview
3.2. Facilities Mapping and Parameters Assessment
3.3. Online Participatory Platform
3.4. AI-Driven Data Generation
4. Results
4.1. Overview of the AI-Generated Data
4.2. User’s Satisfaction
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Pupiales-Chuquin, S.-A.; Tenesaca-Luna, G.-A.; Mora-Arciniegas, M.-B. Proposal of a Methodology for the Implementation of a Smart Campus. In Proceedings of the Sixth International Congress on Information and Communication Technology, London, UK, 25–26 February 2021; Yang, X.-S., Sherratt, S., Dey, N., Joshi, A., Eds.; Springer: Singapore, 2022; pp. 589–602. [Google Scholar]
- Villegas-Ch, W.; Palacios-Pacheco, X.; Luján-Mora, S. Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus. Sustainability 2019, 11, 2857. [Google Scholar] [CrossRef]
- Radu, L.-D. Disruptive Technologies in Smart Cities: A Survey on Current Trends and Challenges. Smart Cities 2020, 3, 1022–1038. [Google Scholar] [CrossRef]
- Rieder, E.; Schmuck, M.; Tugui, A. A Scientific Perspective on Using Artificial Intelligence in Sustainable Urban Development. Big Data Cogn. Comput. 2023, 7, 3. [Google Scholar] [CrossRef]
- Shahrour, I.; Xie, X. Role of Internet of Things (IoT) and Crowdsourcing in Smart City Projects. Smart Cities 2021, 4, 1276–1292. [Google Scholar] [CrossRef]
- Wang, J.; Nguyen, D.Q.; Bonkalo, T.; Grebennikov, O. Smart Governance of Urban Data. E3S Web Conf. 2021, 301, 5005. [Google Scholar] [CrossRef]
- Lazarova-Molnar, S.; Logason, H.; Andersen, P.G.; Kjærgaard, M.B. Mobile Crowdsourcing of Occupant Feedback in Smart Buildings. SIGAPP Appl. Comput. Rev. 2017, 17, 5–14. [Google Scholar] [CrossRef]
- Mansour, S.; Sassine, R.; Guibert, S. Leveraging Diverse Data Sources for ESTP Campus Digital Twin Development: Methodology and Implementation. In Innovations in Smart Cities Applications Volume 7; Lecture Notes in Networks and Systems; Ben Ahmed, M., Boudhir, A.A., El Meouche, R., Karaș, İ.R., Eds.; Springer Nature: Cham, Switzerland, 2024; pp. 243–257. [Google Scholar]
- Zhu, H.; Chau, S.C.-K.; Guarddin, G.; Liang, W. Integrating IoT-Sensing and Crowdsensing with Privacy: Privacy-Preserving Hybrid Sensing for Smart Cities. ACM Trans. Internet Things 2022, 3, 1–30. [Google Scholar] [CrossRef]
- Li, Z.; Zhang, J.; Li, M.; Huang, J.; Wang, X. A Review of Smart Design Based on Interactive Experience in Building Systems. Sustainability 2020, 12, 6760. [Google Scholar] [CrossRef]
- Calvo, M.; Galabo, R.; Owen, V.; Cruickshank, L.; Sara, R. Strategies and Tactics of Participatory Architecture. In Proceedings of the DRS Conference Proceedings 2022, Bilbao, Spain, 25 June–3 July 2022. [Google Scholar]
- Cardamone, C.; Lobel, L. Using Citizen Science to Engage Introductory Students: From Streams to the Solar System. J. Microbiol. Biol. Educ. 2016, 17, 117–119. [Google Scholar] [CrossRef]
- Schweiger, G.; Eckerstorfer, L.V.; Hafner, I.; Fleischhacker, A.; Radl, J.; Glock, B.; Wastian, M.; Rößler, M.; Lettner, G.; Popper, N.; et al. Active Consumer Participation in Smart Energy Systems. Energy Build. 2020, 227, 110359. [Google Scholar] [CrossRef]
- Goh, C.S.; Chong, H.-Y. Opportunities in the Sustainable Built Environment: Perspectives on Human-Centric Approaches. Energies 2023, 16, 1301. [Google Scholar] [CrossRef]
- Rymarzak, M.; den Heijer, A.; Curvelo Magdaniel, F.; Arkesteijn, M. Identifying the Influence of University Governance on Campus Management: Lessons from the Netherlands and Poland. Stud. High. Educ. 2020, 45, 1298–1311. [Google Scholar] [CrossRef]
- Sanabria, Z.J.; Alfaro-Ponce, B.; González Peña, O.I.; Terashima-Marín, H.; Ortiz-Bayliss, J.C. Engagement and Social Impact in Tech-Based Citizen Science Initiatives for Achieving the SDGs: A Systematic Literature Review with a Perspective on Complex Thinking. Sustainability 2022, 14, 10978. [Google Scholar] [CrossRef]
- Omotayo, T.; Moghayedi, A.; Awuzie, B.; Ajayi, S. Infrastructure Elements for Smart Campuses: A Bibliometric Analysis. Sustainability 2021, 13, 7960. [Google Scholar] [CrossRef]
- Ahmed, V.; Khatri, M.F.; Bahroun, Z.; Basheer, N. Optimizing Smart Campus Solutions: An Evidential Reasoning Decision Support Tool. Smart Cities 2023, 6, 2308–2346. [Google Scholar] [CrossRef]
- Nachandiya, N.; Gambo, Y.; Joel, N.B.; Davwar, P. Smart Technologies for Smart Campus Information System. Asian J. Res. Comput. Sci. 2018, 1–7. [Google Scholar] [CrossRef]
- Valks, B.; Arkesteijn, M.; Koutamanis, A.; Den Heijer, A. Towards Smart Campus Management: Defining Information Requirements for Decision Making through Dashboard Design. Buildings 2021, 11, 201. [Google Scholar] [CrossRef]
- Valks, B.; Arkesteijn, M.H.; Koutamanis, A.; den Heijer, A.C. Towards a Smart Campus: Supporting Campus Decisions with Internet of Things Applications. Build. Res. Inf. 2021, 49, 1–20. [Google Scholar] [CrossRef]
- Ali, Z.; Shah, M.A.; Almogren, A.; Ud Din, I.; Maple, C.; Khattak, H.A. Named Data Networking for Efficient IoT-Based Disaster Management in a Smart Campus. Sustainability 2020, 12, 3088. [Google Scholar] [CrossRef]
- Eltamaly, A.M.; Alotaibi, M.A.; Alolah, A.I.; Ahmed, M.A. IoT-Based Hybrid Renewable Energy System for Smart Campus. Sustainability 2021, 13, 8555. [Google Scholar] [CrossRef]
- Jabbar, W.A.; Wei, C.W.; Azmi, N.A.A.M.; Haironnazli, N.A. An IoT Raspberry Pi-Based Parking Management System for Smart Campus. Internet Things 2021, 14, 100387. [Google Scholar] [CrossRef]
- Nagowah, S.; Sta, H.; Gobin-Rahimbux, B. Modelling Sustainability for an IoT-Enabled Smart Green Campus Using an Ontology-Based Approach. In Proceedings of the WOP@ ISWC, Athens, Greece, 6–7 November 2023. [Google Scholar]
- Islam, M.M.; Nafiz Ahmed, T. A Greener Campus: Reusing Water, Reducing Waste and Protecting the Environment. In Proceedings of the IN4OBE Global Virtual Summit, Virtual, 9–10 June 2023. [Google Scholar]
- Mohd Nawi, N.F.; Er, A.C. Campus Sustainability: A Case Study in Universiti Malaysia Sabah (UMS). J. Sustain. Sci. Manag. 2018, 2018, 113–124. [Google Scholar]
- Min-Allah, N.; Alrashed, S. Smart Campus—A Sketch. Sustain. Cities Soc. 2020, 59, 102231. [Google Scholar] [CrossRef] [PubMed]
- Polin, K.; Yigitcanlar, T.; Limb, M.; Washington, T. The Making of Smart Campus: A Review and Conceptual Framework. Buildings 2023, 13, 891. [Google Scholar] [CrossRef]
- Prandi, C.; Monti, L.; Ceccarini, C.; Salomoni, P. Smart Campus: Fostering the Community Awareness Through an Intelligent Environment. Mob. Netw. Appl. 2020, 25, 945–952. [Google Scholar] [CrossRef]
- Alrashed, S. Key Performance Indicators for Smart Campus and Microgrid. Sustain. Cities Soc. 2020, 60, 102264. [Google Scholar] [CrossRef]
- Yip, C.; Zhang, Y.; Lu, E.; Dong, Z.Y. A Hybrid Assessment Framework for Human-centred Sustainable Smart Campus: A Case Study on COVID-19 Impact. IET Smart Cities 2022, 4, 184–196. [Google Scholar] [CrossRef]
- Fortes, S.; Santoyo-Ramón, J.A.; Palacios, D.; Baena, E.; Mora-García, R.; Medina, M.; Mora, P.; Barco, R. The Campus as a Smart City: University of Málaga Environmental, Learning, and Research Approaches. Sensors 2019, 19, 1349. [Google Scholar] [CrossRef]
- Tuzcuoğlu, D.; de Vries, B.; Yang, D.; Sungur, A. What Is a Smart Office Environment? An Exploratory Study from a User Perspective. J. Corp. Real. Estate 2022, 25, 118–138. [Google Scholar] [CrossRef]
- Glass, J.E.; Matson, T.E.; Lim, C.; Hartzler, A.L.; Kimbel, K.; Lee, A.K.; Beatty, T.; Parrish, R.; Caldeiro, R.M.; McWethy, A.G.; et al. Approaches for Implementing App-Based Digital Treatments for Drug Use Disorders Into Primary Care: A Qualitative, User-Centered Design Study of Patient Perspectives. J. Med. Internet Res. 2021, 23, e25866. [Google Scholar] [CrossRef]
- Rodriguez, N.M.; Burleson, G.; Linnes, J.C.; Sienko, K.H. Thinking Beyond the Device: An Overview of Human- and Equity-Centered Approaches for Health Technology Design. Annu. Rev. Biomed. Eng. 2023, 25, 257–280. [Google Scholar] [CrossRef]
- Crooks, R. Toward People’s Community Control of Technology: Race, Access, and Education. Just Tech 2022. [Google Scholar] [CrossRef]
- UN DESA THE 17 GOALS|Sustainable Development. Available online: https://sdgs.un.org/goals (accessed on 23 August 2024).
- Aljer, A.; Itair, M.; Akil, M.; Sharour, I. Knowledge Infrastructure Data Wizard (KIDW): A Cooperative Approach for Data Management and Knowledge Dissemination. In Innovations in Smart Cities Applications Volume 7; Lecture Notes in Networks and Systems; Ben Ahmed, M., Boudhir, A.A., El Meouche, R., Karaș, İ.R., Eds.; Springer Nature: Cham, Switzerland, 2024; pp. 34–43. [Google Scholar]
- Corbari, C.; Paciolla, N.; Ben Charfi, I.; Skokovic, D.; Sobrino, J.A.; Woods, M. Citizen Science Supporting Agricultural Monitoring with Hundreds of Low-Cost Sensors in Comparison to Remote Sensing Data. Eur. J. Remote Sens. 2022, 55, 388–408. [Google Scholar] [CrossRef]
- Itair, M.; Shahrour, I.; Hijazi, I. The Use of the Smart Technology for Creating an Inclusive Urban Public Space. Smart Cities 2023, 6, 2484–2498. [Google Scholar] [CrossRef]
- Pallavi, S.; Yashas, S.R.; Anilkumar, K.M.; Shahmoradi, B.; Shivaraju, H.P. Comprehensive Understanding of Urban Water Supply Management: Towards Sustainable Water-Socio-Economic-Health-Environment Nexus. Water Resour. Manag. 2021, 35, 315–336. [Google Scholar] [CrossRef]
- Aburas, H.; Shahrour, I.; Giglio, C. Route Planning under Mobility Restrictions in the Palestinian Territories. Sustainability 2024, 16, 660. [Google Scholar] [CrossRef]
- Itair, M.; Hijazi, I.; Mansour, S.; Shahrour, I. Empowering Sustainability Advancement in Urban Public Spaces Through Low-Cost Technology and Citizen Engagement. In Innovations in Smart Cities Applications Volume 7; Lecture Notes in Networks and Systems; Ben Ahmed, M., Boudhir, A.A., El Meouche, R., Karaș, İ.R., Eds.; Springer Nature Switzerland: Cham, Switzerland, 2024; pp. 292–299. [Google Scholar]
- Itair, M.; Shahrour, I.; Dbeis, A.; Bian, H.; Samhan, S. Leveraging Participatory Science for Tackling Water Supply Challenges in Water-Scarce Developing Regions. Water 2024, 16, 2080. [Google Scholar] [CrossRef]
- Paul, J.D.; Cieslik, K.; Sah, N.; Shakya, P.; Parajuli, B.P.; Paudel, S.; Dewulf, A.; Buytaert, W. Applying Citizen Science for Sustainable Development: Rainfall Monitoring in Western Nepal. Front. Water 2020, 2, 581375. [Google Scholar] [CrossRef]
- Pocock, M.J.O.; Roy, H.E.; August, T.; Kuria, A.; Barasa, F.; Bett, J.; Githiru, M.; Kairo, J.; Kimani, J.; Kinuthia, W.; et al. Developing the Global Potential of Citizen Science: Assessing Opportunities That Benefit People, Society and the Environment in East Africa. J. Appl. Ecol. 2019, 56, 274–281. [Google Scholar] [CrossRef]
- Roche, J.; Bell, L.; Galvão, C.; Golumbic, Y.N.; Kloetzer, L.; Knoben, N.; Laakso, M.; Lorke, J.; Mannion, G.; Massetti, L.; et al. Citizen Science, Education, and Learning: Challenges and Opportunities. Front. Sociol. 2020, 5, 613814. [Google Scholar] [CrossRef]
- Sagers, M. How Can Citizen Science Be Used Effectively within Environmental Education in Order to Foster Environmental Change? Hamline University: St Paul, MN, USA, 2020. [Google Scholar]
- Cornish, F.; Breton, N.; Moreno-Tabarez, U.; Delgado, J.; Rua, M.; de-Graft Aikins, A.; Hodgetts, D. Participatory Action Research. Nat. Rev. Methods Primer 2023, 3, 34. [Google Scholar] [CrossRef]
- Pocock, M.J.O.; Chapman, D.S.; Sheppard, L.J.; Roy, H.E. Choosing and Using Citizen Science: A Guide to When and How to Use Citizen Science to Monitor Biodiversity and the Environment; NERC/Centre for Ecology & Hydrology: Wallingford, UK, 2015; p. 24. [Google Scholar]
- Shirk, J.L.; Ballard, H.L.; Wilderman, C.C.; Phillips, T.; Wiggins, A.; Jordan, R.; McCallie, E.; Minarchek, M.; Lewenstein, B.V.; Krasny, M.E.; et al. Public Participation in Scientific Research: A Framework for Deliberate Design. Ecol. Soc. 2012, 17, 1–20. [Google Scholar] [CrossRef]
- Herman Assumpção, T.; Popescu, I.; Jonoski, A.; Solomatine, D. Citizen Observations Contributing to Flood Modelling: Opportunities and Challenges. Hydrol. Earth Syst. Sci. 2018, 22, 1473–1489. [Google Scholar] [CrossRef]
- Roche, A.J.; Rickard, L.N.; Huguenard, K.; Spicer, P. Who’s Tapped Out and What’s on Tap? Tapping Into Engagement Within a Place-Based Citizen Science Effort. Soc. Nat. Resour. 2022, 35, 667–683. [Google Scholar] [CrossRef]
- Batsaikhan, A.; Hachinger, S.; Kurtz, W.; Heller, H.; Frank, A. Application of Modern Web Technologies to the Citizen Science Project BAYSICS on Climate Research and Science Communication. Sustainability 2020, 12, 7748. [Google Scholar] [CrossRef]
- Schmuderer, S.; Zink, R.; Gamerith, W. Citizen Participation via Digital Maps: A Comparison of Current Applications. GIForum 2019, 7, 34–46. [Google Scholar] [CrossRef]
- Maund, P.R.; Bentley, J.W.; Austen, G.E.; Irvine, K.N.; Fish, R.; Dallimer, M.; Davies, Z.G. The Features and Processes Underpinning High-Quality Data Generation in Participatory Research and Engagement Activities. Methods Ecol. Evol. 2022, 13, 68–76. [Google Scholar] [CrossRef]
- Santos-Tapia, C.; Verderau, M.; Borràs, S.; Flórez-Santasusana, M.; Flórez, F.; Morales, J.J.; Moli, P.; Borràs, A.; Cirach, M.; Ubalde-López, M. Citizen Science and Social Innovation as Citizen Empowerment Tools to Address Urban Health Challenges: The Case of the Urban Health Citizen Laboratory in Barcelona, Spain. PLoS ONE 2024, 19, e0298749. [Google Scholar] [CrossRef]
- Moor, T.D.; Rijpma, A.; López, M.P. Dynamics of Engagement in Citizen Science: Results from the “Yes, I Do!”-Project. Citiz. Sci. Theory Pract. 2019, 4. [Google Scholar] [CrossRef]
- ANU-FEIT Welcome Message|Faculty of Engineering and Information Technology. Available online: https://eng.najah.edu/en/about/welcome-message/ (accessed on 20 October 2023).
- Abreu, N.; Pinto, A.; Matos, A.; Pires, M. Procedural Point Cloud Modelling in Scan-to-BIM and Scan-vs-BIM Applications: A Review. ISPRS Int. J. Geo-Inf. 2023, 12, 260. [Google Scholar] [CrossRef]
- Beck, S.F.; Abualdenien, J.; Hijazi, I.H.; Borrmann, A.; Kolbe, T.H. Analyzing Contextual Linking of Heterogeneous Information Models from the Domains BIM and UIM. ISPRS Int. J. Geo-Inf. 2021, 10, 807. [Google Scholar] [CrossRef]
- Raza, M.S.; Tayeh, B.A.; Abu Aisheh, Y.I.; Maglad, A.M. Potential Features of Building Information Modeling (BIM) for Application of Project Management Knowledge Areas in the Construction Industry. Heliyon 2023, 9, e19697. [Google Scholar] [CrossRef]
- Bosch, A.; Volker, L.; Koutamanis, A. BIM in the Operations Stage: Bottlenecks and Implications for Owners. Built Environ. Proj. Asset Manag. 2015, 5, 331–343. [Google Scholar] [CrossRef]
- Deng, M.; Menassa, C.; Kamat, V. From BIM to Digital Twins: A Systematic Review of the Evolution of Intelligent Building Representations in the AEC-FM Industry. J. Inf. Technol. Constr. 2021, 26, 58–83. [Google Scholar] [CrossRef]
- Hijazi, I.H.; Krauth, T.; Donaubauer, A.; Kolbe, T. 3DCITYDB4BIM: A system architecture for linking bim server and 3d citydb for bim-gis-integration. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 2020, 4, 195–202. [Google Scholar] [CrossRef]
- Lingo, R. Exploring the Potential of AI-Generated Synthetic Datasets: A Case Study on Telematics Data with ChatGPT. arXiv 2023, arXiv:2306.13700. [Google Scholar]
- Hittmeir, M.; Ekelhart, A.; Mayer, R. On the Utility of Synthetic Data: An Empirical Evaluation on Machine Learning Tasks. In Proceedings of the 14th International Conference on Availability, Reliability and Security, Canterbury, UK, 26–29 August 2019; Association for Computing Machinery: New York, NY, USA, 2019; pp. 1–6. [Google Scholar]
- Korakakis, M.; Mylonas, P.; Spyrou, E. A Short Survey on Modern Virtual Environments That Utilize AI and Synthetic Data. In Proceedings of the MCIS 2018 Proceedings, Corfu, Greece, 28–30 September 2018. [Google Scholar]
- Lu, Y.; Shen, M.; Wang, H.; Wang, X.; van Rechem, C.; Wei, W. Machine Learning for Synthetic Data Generation: A Review. arXiv 2023, arXiv:2302.04062. [Google Scholar] [CrossRef]
- Reiner Benaim, A.; Almog, R.; Gorelik, Y.; Hochberg, I.; Nassar, L.; Mashiach, T.; Khamaisi, M.; Lurie, Y.; Azzam, Z.S.; Khoury, J.; et al. Analyzing Medical Research Results Based on Synthetic Data and Their Relation to Real Data Results: Systematic Comparison From Five Observational Studies. JMIR Med. Inform. 2020, 8, e16492. [Google Scholar] [CrossRef]
- Braddon, A.E.; Robinson, S.; Alati, R.; Betts, K.S. Exploring the Utility of Synthetic Data to Extract More Value from Sensitive Health Data Assets: A Focused Example in Perinatal Epidemiology. Paediatr. Perinat. Epidemiol. 2023, 37, 292–300. [Google Scholar] [CrossRef]
- D’Amico, S.; Dall’Olio, D.; Sala, C.; Dall’Olio, L.; Sauta, E.; Zampini, M.; Asti, G.; Lanino, L.; Maggioni, G.; Campagna, A.; et al. Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology. JCO Clin. Cancer Inform. 2023, 7, e2300021. [Google Scholar] [CrossRef]
- Koenecke, A.; Varian, H. Synthetic Data Generation for Economists. arXiv 2020, arXiv:2011.01374. [Google Scholar]
- Mr, N.; Gyasi, S. Customer Dissatisfaction and Complaining Responses Towards Mobile Telephony Services. Afr. J. Inf. Syst. 2012, 4, 1. [Google Scholar]
User Type | Number of Participants | Percentage of Participants | Number of Assessments | Percentage of Assessments | Assessment Frequency |
---|---|---|---|---|---|
Student | 261 | 80.3% | 821 | 82.1% | 3.1 |
Academic Member | 37 | 11.4% | 108 | 10.8% | 2.9 |
Administrative Staff | 15 | 4.6% | 36 | 3.6% | 2.4 |
Security Member | 12 | 3.7% | 35 | 3.5% | 2.9 |
Total | 325 | 100.0% | 1000 | 100.0% | 3.1 |
Floor ID/Facilities’ Category | Academic Use | Open Area | Toilets | Emergency | Vertical Circulation | % By Floor |
---|---|---|---|---|---|---|
B2 | 1.6% | 0.5% | 0.5% | 0.3% | 2.9% | |
B1 | 6.2% | 2.4% | 1.5% | 0.3% | 10.4% | |
GF | 18.0% | 10.3% | 3.1% | 1.3% | 32.7% | |
F1 | 12.3% | 5.8% | 3.5% | 0.9% | 22.5% | |
F2 | 0.2% | 4.4% | 3.4% | 0.5% | 8.5% | |
F3 | 9.3% | 4.1% | 3.0% | 0.8% | 17.2% | |
F4 | 1.9% | 1.1% | 0.9% | 0.2% | 4.1% | |
Vertical Circulation | 1.7% | 1.7% | ||||
% By Facilities’ Category | 49.5% | 28.6% | 15.9% | 4.3% | 1.7% | 100.0% |
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Itair, M.; Shahrour, I.; El Meouche, R.; Hattab, N. Enhancing Building Services in Higher Education Campuses through Participatory Science. Buildings 2024, 14, 2784. https://doi.org/10.3390/buildings14092784
Itair M, Shahrour I, El Meouche R, Hattab N. Enhancing Building Services in Higher Education Campuses through Participatory Science. Buildings. 2024; 14(9):2784. https://doi.org/10.3390/buildings14092784
Chicago/Turabian StyleItair, Mohammed, Isam Shahrour, Rani El Meouche, and Nizar Hattab. 2024. "Enhancing Building Services in Higher Education Campuses through Participatory Science" Buildings 14, no. 9: 2784. https://doi.org/10.3390/buildings14092784