EU Smart Cities: Towards a New Framework of Urban Digital Transformation

Miljana Shulajkovska, Gjorgji Noveski, Maj Smerkol, Jure Grabnar, Erik Dovgan, Matjaž Gams

Abstract


The URBANITE H2020 project aims to address urban mobility challenges caused by growth and new transportation methods. It develops a decision support system for policymakers, incorporating simulation, evaluation of key performance indicators (KPIs), a recommendation/decision support system (DSS), and machine learning (ML) capabilities. The system helps identify and improve KPIs, proposes effective policies, and enhances urban digital transformation for sustainable and efficient mobility

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References


TECNALIA, URBANITE website, 2023.

Available at: https://www.example.com.

United Nations Department of Economic and

Social Affairs. World Population Prospects

New York: United Nations, 2019.

Bibri, S. E., Krogstie, J. (2017). Smart sustainable cities of the future: An extensive interdisciplinary literature review. Sustainable Cities and Society, 31, 183-212.

doi:10.1016/j.scs.2017.02.016

Dameri, R. P. (2013). Searching for smart city

definition: A comprehensive proposal. International Journal of Computers and Technology, 11 (5), 2544-2551.

Washburn, D., Sindhu, U., Balaouras, S.,

Dines, R. A., Hayes, N., Nelson, L. E. (2009).

Helping CIOs understand ”smart city” initiatives. Growth, 17 (2), 1-17.

Anthopoulos, L. G. (2015). Understanding the

smart city domain: A literature review. In

Transforming City Governments for Successful Smart Cities (pp. 9-21). Springer.

Melkonyan, A., Gruchmann, T., Lohmar, F.,

Bleischwitz, R. (2022). Decision support for

sustainable urban mobility: A case study

of the Rhine-Ruhr area. Sustainable Cities

and Society, 80, 103806. ISSN 2210-6707.

doi:10.1016/j.scs.2022.103806

Shahidehpour, M., Li, Z., Ganji, M. (2018).

Smart cities for a sustainable urbanization:

Illuminating the need for establishing smart

urban infrastructures. IEEE Electrification

Magazine, 6 (2), 16-33. IEEE.

Neirotti, P., De Marco, A., Cagliano, A.

C., Mangano, G., Scorrano, F. (2014). European Smart Cities: The Potential for

Advancing Innovation and Sustainability.

Journal of Urban Technology, 21 (1), 3-17.

doi:10.1080/10630732.2013.876689

Kitchin, R., Coletta, C., Evans, L., Heaphy, L., MacDonncha, D. (2018). Smart

Cities in Europe: Enabling Factors and Success Factors in Smart City Development. Regional Studies, Regional Science, 5 (1), 136-

doi:10.1080/21681376.2017.1390684

Hollands, R. G. (2019). European

Smart Cities: A Systematic Analysis of Smart City Initiatives. Journal of Urban Technology, 26 (4), 3-27.

doi:10.1080/10630732.2018.1488562

Deakin, M., Al Waer, H., and Newton, R. (2020). European Smart Cities:

EU Smart Cities: Towards a New Framework. . . Informatica 45 page 501–yyy 9

The Role of Policy in Shaping Smart

Urban Futures. Cities, 98, 102573.

doi:10.1016/j.cities.2019.102573

Sulajkovska, M., Smerkol, M., Dovgan. E.,

Gams M. (2021). Machine Learning-Based

Approach for Estimating the Quality of Mobility Policies. Proceedings of the 24th International Multiconference Information Society

URBANITE Workshop 2021

Smerkol, M, Sulajkovska, M., Dovgan. E.,

Gams M. (2021). Machine Learning-Based

Approach for Estimating the Quality of Mobility Policies. Proceedings of the 24th International Multiconference Information Society

URBANITE Workshop 2021

Dovgan. E., Smerkol, M, Sulajkovska, M.,

Gams M. (2021). Supporting Decision-Making

in the Urban Mobility Policy Making. Proceedings of the 24th International Multiconference Information Society URBANITE Workshop 2021

Sulajkovska, M., Smerkol, M., Gams M.

(2022). Urban Mobility Policy Proposal Using

Machine-Learning Techniques. Proceedings of

the 25th International Multiconference Information Society




DOI: https://doi.org/10.31449/inf.v47i2.4904

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