The challenges of applying Big Data in the urban planning practices for the developing countries. Case study in Albania. Dhurata SHEHU,Dr. Lucca LEZZERINI

The challenges of applying Big Data in the urban planning practices for the developing countries. Case study in Albania. Dhurata SHEHU,Dr. Lucca LEZZERINI

150 150 Sadmira Malaj
ISBN: 10.37199/c41000117

Author: Ph.D. Candidate. Dhurata SHEHU, Dr. Lucca LEZZERINI
Affiliation: POLIS University

While urban populations are expanding, institutions are demanding more sustainable urban development, which has greatly increased urban planning complexity. The traditional urban planning method needs to shift in favour of an automated and optimised procedure due to the necessity to take into account social, legal, environmental, and economic factors. During the planning and decision-making phases of urban design, an important amount of data from multidisciplinary sources has to be constantly processed. Unfamiliar multidisciplinary data sets, on the other hand, can only result in confusion and ambiguity. Data Mining ensure a data-driven strategy to assist the urban design process. It refers to the process of searching for information hidden in a large amount of data through algorithms. Urban logistics can be planned more effectively using data mining technologies, which can also reduce logistics costs and speed up the development of the urban economy. A few nations are undertaking ambitious efforts to make use of this massive information bank for urban planning decision-making. But what are the pros and cons in this data-driven decision process? In Albania although ICT infrastructure is well-developed in urban areas, connection in rural areas is still a problem. Despite the significant advancements made in this field, the application of digital tools and technology in the context of urban planning difficul- ties is still not fully understood. The purpose of the study is to analyze the challenges of applying Big Data and Data Mining techniques in Albania and in other developing countries in the region.

Publisher: Polis_press


Peng, Z.-R., Kaifa, L., Liu, Y., & Zhai, W. (2023). The Pathway of Urban Planning AI: From Planning Support to Plan-Making. Journal of Planning Education and Research. https://doi. org/10.1177/0739456X231180568
Dayalan, M. (2020). Top Challenges in Data Mining Research. httpElezaj, O., Tole, D., & Baci, N. (2018). Big Data in e-Government Environments: Albania as a Case Study. Academic Journal of Interdisciplinary Studies, 7, 117–124. s://

Laporte, B. (n.d.). Risk management systems: Using data mining in developing countries’ customs administrations. 5(1).
Kandt, J., & Batty, M. (2021). Smart cities, big data and urban policy: Towards urban analytics for the long run. Cities, 109, 102992.

Albania – Network Readiness Index. (n.d.). Retrieved September 10, 2023, from https://net-
Digital Development Albania. (n.d.). Retrieved July 24, 2023, from default/files/2022- 05/Digital%20Development%20Country%20Profile_Albania_final_02.22.pdf EGOVKB | United Nations > Data > Country Information. (n.d.). Retrieved September 14, 2023, from Alba- nia/dataYear/2022

Empowering youth in least developed countries through ICT – Network Readiness Index. (n.d.). Retrieved September 10, 2023, from ing-youth-in-least-developed- countries-through-ict/
Ivanov, N., & Gnevanov, M. (2018). Big data: Perspectives of using in urban planning and manage-

ment. MATEC Web of Conferences, 170, 01107. Marthoenis, . (2018). Challenges of Data Collection for Research in a Developing Coun- try: Proceedings of the Aceh International Nursing Conference, 164–169. https://doi. org/10.5220/0008396001640169

Miao, Y., Koenig, R., Knecht, K., Konieva, K., Buš, P., & Chang, M.-C. (2018). Computa- tional urban design prototyping: Interactive planning synthesis methods—a case study in Cape Town. International Journal of Architectural Computing, 16(3), 212–226. https://doi. org/10.1177/1478077118798395

Noardo, F., Wu, T., Arroyo Ohori, K., Krijnen, T., & Stoter, J. (2022). IFC models for semi-auto- mating common planning checks for building permits. Automation in Construction, 134, 104097.
Ritchie, H., & Roser, M. (2018). Urbanization. Our World in Data. urbanization

Session 286—ICTs opportunities and challenges in developing countries – An Academic.... (n.d.). WSIS Forum 2022. Retrieved September 10, 2023, from rum/2022/Agenda/Session/286
Thakuriah, P., Tilahun, N. Y., & Zellner, M. (2016). Big Data and Urban Informatics: Innovations and Challenges to Urban Planning and Knowledge Discovery. Springer Geography, 11. https:// es_t o_Urban_Planning_and_Knowledge_Discovery

Turrin, M., Von Buelow, P., & Stouffs, R. (2011). Design explorations of performance driven ge- ometry in architectural design using parametric modeling and genetic algorithms. Advanced En- gineering Informatics, 25, 656–675.
Vera, C. M. A., Mels, A. R., Keesman, K. J., & Rijnaarts, H. H. M. (2011). Resource management as a key factor for sustainable urban planning. Journal of Environmental Management, 92(10), 2295–2303.