A  Bibliometric Analysis of Outdoor Thermal Comfort Research in Smart Cities: Trends and Methodologies

Safae Ahsissene; Fatima Zahrae Rhziel; Naoufal Raissouni

doi:10.51646/jsesd.v14iSI_MSMS2E.396

Authors

Safae Ahsissene Remote Sensing, Systems and Telecommunications Research Laboratory, National School of Applied Sciences, of Tetuan, Abdelmalek Essadi University, Tetuan 2121, Morocco.
Fatima Zahrae Rhziel Remote Sensing, Systems and Telecommunications Research Laboratory, National School of Applied Sciences, of Tetuan, Abdelmalek Essadi University, Tetuan 2121, Morocco.
Naoufal Raissouni Remote Sensing, Systems and Telecommunications Research Laboratory, National School of Applied Sciences, of Tetuan, Abdelmalek Essadi University, Tetuan 2121, Morocco.

DOI:

https://doi.org/10.51646/jsesd.v14iSI_MSMS2E.396

Keywords:

Thermal comfort, Smart Cities, CiteSpace, Energy Efficiency, Bibliometrics.

Abstract

In recent years, maintaining thermal comfort in urban environments has become a key concern, as cities grow rapidly and climate change intensifies. This study presents a bibliometric analysis to examine how thermal comfort is addressed in smart city research, categorizing the methodologies employed. A total of 300 papers from Scopus and 107 from Web of Science were collected. After removing duplicates across both datasets, 314 papers remained for analysis. A final dataset of 314 papers was analysed using Python, with the 300 from Scopus further examined using CiteSpace due to the 300-record limit of the basic version of the software. CiteSpace analysis reveals key trends, research networks, and methodological shift. With 15% of studies utilizing questionnaires, 35% employing simulation tools, and 50% relying on alternative methods. Python analysis highlights China and the USA as the most prolific countries in publishing research on this topic. This study emphasizes the evolving nature of research in the smart city sector and underscores the importance of integrating both conventional and innovative methodologies. Findings offer critical insights for urban planners and policymakers, particularly in relation to sustainable urban development and the mitigation of urban heat island effects. By mapping the intellectual configuration of thermal comfort research in smart cities, this paper not only addresses existing knowledge gaps but also provides a framework for future research to enhance the resilience and liveability of urban environments.

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References

A. I. Almulhim and P. B. Cobbinah, “Can rapid urbanization be sustainable? The case of Saudi Arabian cities,” Habitat Int., vol. 139, no. July, p. 102884, 2023. https://doi.org/10.1016/j.habitatint.2023.102884. DOI: https://doi.org/10.1016/j.habitatint.2023.102884

X. Zeng, Y. Yu, S. Yang, Y. Lv, and M. N. I. Sarker, “Urban Resilience for Urban Sustainability: Concepts, Dimensions, and Perspectives,” Sustain., vol. 14, no. 5, pp. 1–27, 2022. https://doi.org/10.3390/su14052481. DOI: https://doi.org/10.3390/su14052481

M. Xu, J. M. David, and S. H. Kim, “The fourth industrial revolution: Opportunities and challenges,” Int. J. Financ. Res., vol. 9, no. 2, pp. 90–95, 2018. https://doi.org/10.5430/ijfr.v9n2p90. DOI: https://doi.org/10.5430/ijfr.v9n2p90

M. Zou and H. Zhang, “Cooling strategies for thermal comfort in cities: a review of key methods in landscape design,” Environ. Sci. Pollut. Res., vol. 28, no. 44, pp. 62640–62650, 2021. https://doi.org/10.1007/s11356-021-15172-y. DOI: https://doi.org/10.1007/s11356-021-15172-y

F. Grilo et al., “Using green to cool the grey: Modelling the cooling effect of green spaces with a high spatial resolution,” Sci. Total Environ., vol. 724, 2020. https://doi.org/10.1016/j.scitotenv.2020.138182. DOI: https://doi.org/10.1016/j.scitotenv.2020.138182

D. Lai, Y. Liu, M. Liao, and B. Yu, “Effects of different tree layouts on outdoor thermal comfort of green space in summer Shanghai,” Urban Clim., vol. 47, no. August 2022, p. 101398, 2023. https://doi.org/10.1016/j.uclim.2022.101398. DOI: https://doi.org/10.1016/j.uclim.2022.101398

H. Gajjar and J. J. Devi, “Assessment of Role of Water Body on Thermal Comfort in Ahmedabad, India,” in 2019 3rd International Conference on Environmental and Energy Engineering (IC3E 2019), vol. 281, 2019. https://doi.org/10.1088/1755-1315/281/1/012023. DOI: https://doi.org/10.1088/1755-1315/281/1/012023

M. Batty et al., “Smart cities of the future,” Eur. Phys. J. Spec. Top., vol. 214, no. 1, pp. 481–518, 2012. https://doi.org/10.1140/epjst/e2012-01703-3. DOI: https://doi.org/10.1140/epjst/e2012-01703-3

U. B. Vito Albino and R. M. Dangelico, “Smart Cities: Definitions, Dimensions, Performance, and Initiatives,” J. Urban Technol., vol. 22, no. 1, pp. 3–21, 2015. https://doi.org/10.1080/10630732.2014.942092. DOI: https://doi.org/10.1080/10630732.2014.942092

A. M. Shahat Osman and A. Elragal, “Smart cities and big data analytics: A data-driven decision-making use case,” Smart Cities, vol. 4, no. 1, pp. 286–313, 2021. https://doi.org/10.3390/smartcities4010018. DOI: https://doi.org/10.3390/smartcities4010018

L. N. Kondrat’eva, N. R. Stepanova, and P. V. Bochkov, “The Formation of a Comfortable Urban Environment,” IOP Conf. Ser. Mater. Sci. Eng., vol. 972, no. 1, 2020. https://doi.org/10.1088/1757-899X/972/1/012021. DOI: https://doi.org/10.1088/1757-899X/972/1/012021

W. Song and J. K. Calautit, “Inclusive comfort: A review of techniques for monitoring thermal comfort among individuals with the inability to provide accurate subjective feedback,” Build. Environ., vol. 257, no. March, p. 111463, 2024. https://doi.org/10.1016/j.buildenv.2024.111463. DOI: https://doi.org/10.1016/j.buildenv.2024.111463

S. Yazdi Bahri, M. Alier Forment, A. Sanchez Riera, F. Bagheri Moghaddam, M. J. Casañ Guerrero, and A. M. Llorens Garcia, “A literature review on thermal comfort performance of parametric façades,” Energy Reports, vol. 8, pp. 120–128, 2022. https://doi.org/10.1016/j.egyr.2022.10.245. DOI: https://doi.org/10.1016/j.egyr.2022.10.245

A. H. Rosenfeld et al., “Mitigation of urban heat islands: materials, utility programs, updates,” Energy Build., vol. 22, no. 3, pp. 255–265, 1995. https://doi.org/10.1016/0378-7788(95)00927-P. DOI: https://doi.org/10.1016/0378-7788(95)00927-P

R. Sánchez-Corcuera et al., “Smart cities survey: Technologies, application domains and challenges for the cities of the future,” Int. J. Distrib. Sens. Networks, vol. 15, no. 6, 2019. https://doi.org/10.1177/1550147719853984. DOI: https://doi.org/10.1177/1550147719853984

A. Arroub, B. Zahi, E. Sabir, and M. Sadik, “A literature review on Smart Cities: Paradigms, opportunities and open problems,” in 2016 Int. Conf. Wirel. Networks Mob. Commun. WINCOM 2016 Green Commun. Netw., 2016, pp. 180–186. https://doi.org/10.1109/WINCOM.2016.7777211. DOI: https://doi.org/10.1109/WINCOM.2016.7777211

H. Kim, H. Choi, H. Kang, J. An, S. Yeom, and T. Hong, “A systematic review of the smart energy conservation system: From smart homes to sustainable smart cities,” Renew. Sustain. Energy Rev., vol. 140, no. September 2020, p. 110755, 2021. https://doi.org/10.1016/j.rser.2021.110755. DOI: https://doi.org/10.1016/j.rser.2021.110755

T. Singh, A. Solanki, S. K. Sharma, A. Nayyar, and A. Paul, “A Decade Review on Smart Cities: Paradigms, Challenges and Opportunities,” IEEE Access, vol. 10, no. June, pp. 68319–68364, 2022. https://doi.org/10.1109/ACCESS.2022.3184710. DOI: https://doi.org/10.1109/ACCESS.2022.3184710

J. S. Gracias, G. S. Parnell, E. Specking, and E. A. Pohl, “Smart cities—A Structured Literature Review,” Smart Cities, pp. 1719–1743, 2023. DOI: https://doi.org/10.3390/smartcities6040080

A. van Twist, E. Ruijer, and A. Meijer, “Smart cities & citizen discontent: A systematic review of the literature,” Gov. Inf. Q., vol. 40, no. 2, p. 101799, 2023. https://doi.org/10.1016/j.giq.2022.101799.

F. Zhao, O. I. Fashola, T. I. Olarewaju, and I. Onwumere, “Smart city research: A holistic and state-of-the-art literature review,” Cities, vol. 119, no. May 2020, p. 103406, 2021. https://doi.org/10.1016/j.cities.2021.103406. DOI: https://doi.org/10.1016/j.cities.2021.103406

B. N. Silva, M. Khan, and K. Han, “Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities,” Sustain. Cities Soc., vol. 38, no. August 2017, pp. 697–713, 2018. https://doi.org/10.1016/j.scs.2018.01.053. DOI: https://doi.org/10.1016/j.scs.2018.01.053

A. Razmjoo, A. H. Gandomi, M. Pazhoohesh, S. Mirjalili, and M. Rezaei, “The key role of clean energy and technology in smart cities development,” Energy Strateg. Rev., vol. 44, no. August 2021, p. 100943, 2022. https://doi.org/10.1016/j.esr.2022.100943. DOI: https://doi.org/10.1016/j.esr.2022.100943

E. Ismagilova, L. Hughes, N. P. Rana, and Y. K. Dwivedi, “Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework,” Inf. Syst. Front., vol. 24, no. 2, pp. 393–414, 2022. https://doi.org/10.1007/s10796-020-10044-1. DOI: https://doi.org/10.1007/s10796-020-10044-1

X. Su, Y. Yuan, Z. Wang, W. Liu, L. Lan, and Z. Lian, “Human thermal comfort in non-uniform thermal environments: A review,” Energy Built Environ., vol. 5, no. 6, pp. 853–862, 2024. https://doi.org/10.1016/j.enbenv.2023.06.012. DOI: https://doi.org/10.1016/j.enbenv.2023.06.012

Y. Sun, C. Zhang, Y. Zhao, J. Li, Y. Ma, and C. Zhu, “A systematic review on thermal environment and thermal comfort studies in Chinese residential buildings,” Energy Build., vol. 291, no. December 2022, p. 113134, 2023. https://doi.org/10.1016/j.enbuild.2023.113134. DOI: https://doi.org/10.1016/j.enbuild.2023.113134

Y. Alshamaila, S. Papagiannidis, H. Alsawalqah, and I. Aljarah, “Effective use of smart cities in crisis cases: A systematic review of the literature,” Int. J. Disaster Risk Reduct., vol. 85, no. July 2022, p. 103521, 2023. https://doi.org/10.1016/j.ijdrr.2023.103521. DOI: https://doi.org/10.1016/j.ijdrr.2023.103521

P. Pandiyan, S. Saravanan, K. Usha, R. Kannadasan, M. H. Alsharif, and M.-K. Kim, “Technological advancements toward smart energy management in smart cities,” Energy Reports, vol. 10, pp. 648–677, 2023. https://doi.org/10.1016/j.egyr.2023.07.021. DOI: https://doi.org/10.1016/j.egyr.2023.07.021

N. U. Huda, I. Ahmed, M. Adnan, M. Ali, and F. Naeem, “Experts and intelligent systems for smart homes’ Transformation to Sustainable Smart Cities: A comprehensive review,” Expert Syst. Appl., vol. 238, p. 122380, 2024. https://doi.org/10.1016/j.eswa.2023.122380. DOI: https://doi.org/10.1016/j.eswa.2023.122380

A. van Twist, E. Ruijer, and A. Meijer, “Smart cities & citizen discontent: A systematic review of the literature,” Gov. Inf. Q., vol. 40, no. 2, p. 101799, 2023. https://doi.org/10.1016/j.giq.2022.101799. DOI: https://doi.org/10.1016/j.giq.2022.101799

I. Yaqoob, K. Salah, R. Jayaraman, and M. Omar, “Metaverse applications in smart cities: Enabling technologies, opportunities, challenges, and future directions,” Internet of Things, vol. 23, p. 100884, 2023. https://doi.org/10.1016/j.iot.2023.100884. DOI: https://doi.org/10.1016/j.iot.2023.100884

G. Keshavarzi, Y. Yildirim, and M. Arefi, “Does scale matter? An overview of the ‘smart cities’ literature,” Sustain. Cities Soc., vol. 74, no. December 2020, p. 103151, 2021. https://doi.org/10.1016/j.scs.2021.103151. DOI: https://doi.org/10.1016/j.scs.2021.103151

R. Agrifoglio, C. Metallo, and P. di Nauta, “Understanding Knowledge Management in Public Organizations through the Organizational Knowing Perspective: a Systematic Literature Review and Bibliometric Analysis,” Public Organ. Rev., vol. 21, no. 1, pp. 137–156, 2021. https://doi.org/10.1007/s11115-020-00480-7. DOI: https://doi.org/10.1007/s11115-020-00480-7

B. Markscheffel and F. Schröter, “Comparison of two science mapping tools based on software technical evaluation and bibliometric case studies,” COLLNET J. Sci. Inf. Manag., vol. 15, no. 2, pp. 365–396, 2021. https://doi.org/10.1080/09737766.2021.1960220. DOI: https://doi.org/10.1080/09737766.2021.1960220

J. Wei, J. Li, J. Zhao, and X. Wang, “Hot Topics and Trends in Zero-Energy Building Research—A Bibliometrical Analysis Based on CiteSpace,” Buildings, vol. 13, no. 2, 2023. https://doi.org/10.3390/buildings13020479. DOI: https://doi.org/10.3390/buildings13020479

D. Scala, Á. I. Aguilar Cuesta, M. Á. Rodríguez-Domenech, and M. del C. Cañizares Ruiz, “Bibliometric Study on the Conceptualisation of Smart City and Education,” Smart Cities, vol. 7, no. 1, pp. 597–614, 2024. https://doi.org/10.3390/smartcities7010024. DOI: https://doi.org/10.3390/smartcities7010024

D. Lai et al., “A comprehensive review of thermal comfort studies in urban open spaces,” Sci. Total Environ., vol. 742, p. 140092, 2020. https://doi.org/10.1016/j.scitotenv.2020.140092. DOI: https://doi.org/10.1016/j.scitotenv.2020.140092

D. Serghides, S. Dimitriou, I. Kyprianou, and C. Papanicolas, “The Adaptive Comfort Factor in Evaluating the Energy Performance of Office Buildings in the Mediterranean Coastal Cities,” in Energy Procedia, vol. 134, pp. 683–691, 2017. https://doi.org/10.1016/j.egypro.2017.09.588. DOI: https://doi.org/10.1016/j.egypro.2017.09.588

N. Gao, W. Shao, M. S. Rahaman, J. Zhai, K. David, and F. D. Salim, “Transfer learning for thermal comfort prediction in multiple cities,” Build. Environ., vol. 195, p. 107725, May 2021. https://doi.org/10.1016/j.buildenv.2021.107725. DOI: https://doi.org/10.1016/j.buildenv.2021.107725

W. Zhang, F. Liu, and R. Fan, “Improved thermal comfort modeling for smart buildings: A data analytics study,” Int. J. Electr. Power Energy Syst., vol. 103, pp. 634–643, 2018. https://doi.org/10.1016/j.ijepes.2018.06.026. DOI: https://doi.org/10.1016/j.ijepes.2018.06.026

Y. Boutahri and A. Tilioua, “Machine learning-based predictive model for thermal comfort and energy optimization in smart buildings,” Results Eng., vol. 22, p. 102148, 2024. https://doi.org/10.1016/j.rineng.2024.102148. DOI: https://doi.org/10.1016/j.rineng.2024.102148

M. Charai, H. Sghiouri, A. Mezrhab, and M. Karkri, “Bioclimatic Building Design Analysis. Case Study: Oujda, Morocco,” in 2019 IEEE International Renewable and Sustainable Energy Conference (IRSEC), 2019. https://doi.org/10.1109/IRSEC48032.2019.9078176. DOI: https://doi.org/10.1109/IRSEC48032.2019.9078176

A. Banjac, H. Novak, and M. Vasak, “Implementation of model predictive indoor climate control for hierarchical building energy management,” Control Eng. Pract., vol. 136, 2023. https://doi.org/10.1016/j.conengprac.2023.105536. DOI: https://doi.org/10.1016/j.conengprac.2023.105536

M. V. Tabib, A. Rasheed, and T. P. Uteng, “Methodology for assessing cycling comfort during a smart city development,” in CISBAT 2017 International Conference Future Buildings & Districts - Energy Efficiency from Nano to Urban Scale, vol. 122, pp. 361–366, 2017. https://doi.org/10.1016/j.egypro.2017.07.286. DOI: https://doi.org/10.1016/j.egypro.2017.07.286

I. Lahmar, N. Zemmouri, A. Cannavale, and F. Martellotta, “Investigating the impact of electrochromic glazing on energy performance in hot arid climate using parametric design,” IOP Conf. Ser. Mater. Sci. Eng., vol. 609, no. 6, 2019. https://doi.org/10.1088/1757-899X/609/6/062027. DOI: https://doi.org/10.1088/1757-899X/609/6/062027

G. Mutani and V. Todeschi, “Roof-integrated green technologies, energy saving and outdoor thermal comfort: Insights from a case study in urban environment,” Int. J. Sustain. Dev. Plan., vol. 16, no. 1, pp. 13–23, 2021. https://doi.org/10.18280/ijsdp.160102. DOI: https://doi.org/10.18280/ijsdp.160102

S. Dorahaki, M. Rashidinejad, M. MollahassaniPour, M. Pourakbari Kasmaei, and P. Afzali, “A sharing economy model for a sustainable community energy storage considering end-user comfort,” Sustain. Cities Soc., vol. 97, 2023. https://doi.org/10.1016/j.scs.2023.104786. DOI: https://doi.org/10.1016/j.scs.2023.104786

W. Zhang, W. Hu, and Y. Wen, “Thermal comfort modeling for smart buildings: A fine-grained deep learning approach,” IEEE Internet Things J., vol. 6, no. 2, pp. 2540–2549, 2019. https://doi.org/10.1109/JIOT.2018.2871461. DOI: https://doi.org/10.1109/JIOT.2018.2871461

R. Ashrafi, M. Azarbayjani, and H. Tabkhi, “Machine Learning-Based Automated Thermal Comfort Prediction: Integration of Low-Cost Thermal and Visual Cameras for Higher Accuracy,” 2022. [Online]. Available: http://arxiv.org/abs/2204.08463