Project Details
Description
In-fill developments and residential densification have gained much attention as an effective strategy to reduce the consumption of agricultural land, improve the access to services and reduce distance travelled by car. Still, there is a number of limitations to residential densification. These are mainly related to i) market factors (and more specifically on land tenure and land value), ii) the individual and social livability of residential areas (and more specifically on the perception of densification) and iii) the effects of residential densification on the urban environment (and more specifically on urban heat island effect - UHI). The aims of this project are to: (i) identify significant drivers explaining residential densification over time, in different urban settings; (ii) simulate potential residential densification, at the city scale, through a vector-based Cellular Automaton; (iii) study the manifold positive and negative effects of residential densification on the economy (i.e; land values), the environment (i.e. UHI) and the society (i.e. perception and well-being of citizens).
| Acronym | SusDens |
|---|---|
| Status | Finished |
| Effective start/end date | 1/03/20 → 31/08/24 |
Funding
- Luxembourg National Research Fund (FNR)
- Luxembourg Institute of Socio-Economic Research (LISER)
Keywords
- Cellular automata
- Residential densification
- Sustainable urban development
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Enhancing building segmentation by deep multiview classification for advancing sustainable urban development
Hajjar, S. E., Kassem, H., Abdallah, F. & Omrani, H., 15 Apr 2024, In: Journal of Building Engineering. 83, 108421.Research output: Contribution to journal › Article › peer-review
Open Access -
NIMBY attitudes towards housing densification: differences in the perception between residents in market and affordable housing
Górczyńska-Angiulli, M., 27 Jun 2024.Research output: Contribution to conference › Abstract
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Unraveling the impact of green infrastructure and urban forms in 3D perspective on land surface temperature using remote sensing
Zięba-Kulawik, K., Skoczylas, K., Weżyk, P. & Omrani, H., 3 Sept 2024. 2 p.Research output: Contribution to conference › Abstract › peer-review
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A Framework to Probe Uncertainties in Urban Cellular Automata Modelling Using a Novel Framework of Multilevel Density Approach: A Case Study for Wallonia Region, Belgium
Chakraborty, A., Mustafa, A., Omrani, H. & Teller, J., 2 Jun 2023, Intelligence for Future Cities. CUPUM 2023: International Conference on Computers in Urban Planning and Urban Management. Goodspeed, R., Sengupta, R., Kyttä, M. & Pettit, C. (eds.). Cham: Springer Science and Business Media Deutschland GmbH, p. 325-341 17 p. (Urban Book Series; vol. Part F270).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Long Short-Term Memory and Attention Models for Simulating Urban Densification
El Hajjar, S., Abdallah , F., Omrani, H. & Kassem, H., Nov 2023, In: Sustainable Cities and Society. 98, 104852.Research output: Contribution to journal › Article › peer-review
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Understanding Recessive Transition of Cultivated Land Use in Jilin Province, China (1990–2020): From Perspective of Productive-Living-Ecological Functions
Wang, L., Liang, A., Li, X., Jiang, C., Wu, J. & Omrani, H., 10 Sept 2023, In: Land. 12, 9, 1758.Research output: Contribution to journal › Article › peer-review
Open Access -
A Comparative Analysis of Drivers Impacting Urban Densification for Cross Regional Scenarios in Brussels Metropolitan Area
Chakraborty, A., Omrani, H. & Teller, J., 14 Dec 2022, In: Land. 11, 12, 2291.Research output: Contribution to journal › Article › peer-review
Open Access -
Cellular Automata in Modeling and Predicting Urban Densification: Revisiting the Literature since 1971
Chakraborty , A., Sikder, S., Omrani, H. & Teller, J., 20 Jul 2022, In: Land. 11, 7, p. 1-19 19 p., 1113.Research output: Contribution to journal › Article › peer-review
Open AccessFile632 Downloads (Pure) -
Evolution of the build-up volume in Luxembourg City using 2D and 3D remote sensing data based on GEOBIA approach and LiDAR point cloud analysis.
Zięba-Kulawik, K., Skoczylas, K., Wezyk, P. & Omrani, H., 13 Oct 2022.Research output: Contribution to conference › Abstract › peer-review
Open Access -
Modelling the Drivers of Urban Densification to Evaluate Built-up Areas Extension: A Data-Modelling Solution Towards Zero Net Land Take
Chakraborty, A., Omrani, H. & Teller, J., 12 Jul 2022, Computational Science and Its Applications - ICCSA 2022 - 22nd International Conference, Proceedings. Gervasi, O., Murgante, B., Hendrix, E. M., Taniar, D. & Apduhan, B. O. (eds.). Cham: Springer Science and Business Media Deutschland GmbH, p. 260-270 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13376 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review