Data-driven Urban Design Conceptual and Methodological Interpretations of Negroponte’s ‘Architecture Machine’
98.655
2728
Zhang S.; Wilson L.
Computational urban design: Methods and case studies
101.173
2887
Carta S.
Machine learning and the city: Applications in architecture and urban design
103.8
2951
Mirzabeigi S.; Razkenari M.
Design optimization of urban typologies: A framework for evaluating building energy performance and outdoor thermal comfort
105.479
2934
Lee S.; Jang K.M.; Kang N.; Kim J.; Oh M.; Kim Y.
Redesigning urban elements and structures considering autonomous vehicles: Preparing design strategies for wide implementation in cities
106.781
2976
Burry M.
A new agenda for AI-based urban design and planning
107.542
2855
Premier A.; GhaffarianHoseini A.; GhaffarianHoseini A.
Solar-powered smart urban furniture: preliminary investigation on limits and potentials of current designs
108.532
2910
Hollander J.B.; Sussman A.; Lowitt P.; Angus N.; Situ M.; Magnuson A.
Insights into wayfinding: urban design exploration through the use of algorithmic eye-tracking software
111.632
2795
Afacan Y.
Impacts of urban living lab (ULL) on learning to design inclusive, sustainable, and climate-resilient urban environments
111.716
2724
Wahbeh W.; Müller G.; Ammann M.; Nebiker S.
AUTOMATIC IMAGE-BASED 3D RECONSTRUCTION STRATEGIES FOR HIGH-FIDELITY URBAN MODELS - COMPARISON AND FUSION OF UAV AND MOBILE MAPPING IMAGERY FOR URBAN DESIGN STUDIES
112.621
Note: Due to lack of computing power, results have been previously created and saved in database
MESOC has received funding
from Horizon 2020 - the EU Framework Programme
for Research and Innovation (2014-2020) -
under Grant Agreement n°870935.
We take your privacy seriously and WE DO NOT process any personal data or any information that reveals personal identity or information that can be linked to such information to identify directly or indirectly.