Cultural heritage in the design of sustainable cities

Authors

  • Mwfeq Al Haddad Al-Balqa Applied University

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DOI:

https://doi.org/10.51461/issn.2309-3072/86.2671

Keywords:

modeling of cities, heuristic, Great Wall Construction Algorithm, energy efficiency, cultural heritage

Abstract

Modeling cities is becoming an increasingly urgent task. The prevailing trend today is the construction of multifactor models using the capabilities of machine processing of big data. Modeling using heuristic algorithms that rely on a human-machine dialogue looks the most promising. The article presents the results of an experiment on the application of the “Great Wall Construction Algorithm” (GWCA) heuristic to simultaneously take into account extremely heterogeneous parameters – energy efficiency of buildings and their cultural and historical value. It is shown that the use of the GWCA heuristic significantly improves the quality of the model.

How to Cite

Al Haddad, M. (2025). Cultural heritage in the design of sustainable cities. Project Baikal, 22(86). https://doi.org/10.51461/issn.2309-3072/86.2671

Published

2025-12-09

Issue

No. 86 (2025): diversity

Section

refereed articles

License

Copyright (c) 2025 Мвфек Аль-Хаддад

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Ali, U., Bano, S., Shamsi, M. H., Sood, D., Hoare, C., Zuo, W., Hewitt, N., & O’Donnell, J. (2023). Urban building energy performance prediction and retrofit analysis using data-driven machine learning approach. Energy and Buildings, 113768

Alonso, W. (1965). Location and Land Use: Towards a General Theory of Land Rent. Cambridge, MA: Harvard University Press.

Al-Ruwaishedi, M. R. et al. (2024). Metamorphosis of the traditional dwelling. Project Baikal, 21(80), 114-119.

Batty, M. (2024). The Computable City. Histories, Technologies, Stories, Predictions. Cambridge, MA: Mit Press.

Blumenfeld, H. (1949, July). A Theory of City Form. Society of Architectural Historians Journal, 80(3-4), 7-16.

Burgess, E.W. (1924). The Growth of the City: An Introduction to a Research Project Publications of the American Sociologist Society, 18, 142–155.

Fujita, M., Krugman, P.R., & Venables, A. (1999). The Spatial Economy: Cities, Regions, and International Trade. Cambridge, MA: Mit Press.

Guan, Z., Ren, C., Niu, J., Wang, P., & Shang, Y. (2023). Great Wall Construction Algorithm: A novel meta-heuristic algorithm for engineer problems. Expert Systems with Applications, 233, 120905.

Gutnov, A.E. (1984). Evolyutsiya gradostroitel’stva [Evolution of urban development]. Moscow: Stroyizdat.

Hoyt, H. (1939). The Structure and Growth of Residential Neighborhoods in American Cities. Chicago, IL: Chicago University Press.

Man, J. (2008). The Great Wall. The extraordinary history of China’s wonder of the world. London: Bantam Press.

Moreno, C. (2024) The 15-Minute City: A Solution to Saving Our Time and Our Planet. Hoboken, NJ: Wiley.

Sharifi, A., Khavarian-Garmsir, A. R., Allam, Z., & Asadzade, A. (2023). Progress and prospects in planning: A bibliometric review of literature in Urban Studies and Regional and Urban Planning, 1956–2022. Progress in Planning, 173, 100740.

Wang, P. (2023). System for Urban Construction and Model Optimization Based on Machine Learning Algorithms. 2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT) (pp. 1-6). Bengaluru, India.