Zobrazeno 1 - 10
of 1 525 673
pro vyhledávání: '"Urban, P. P."'
Publikováno v:
Computational Urban Science, Vol 4, Iss 1, Pp 1-13 (2024)
Abstract This study employs percolation theory to investigate the hierarchical organisation of Australian urban centres through the connectivity of their road networks. The analysis demonstrates how discrete urban clusters have developed into integra
Externí odkaz:
https://doaj.org/article/59697f35d49f4b6ca157dc796869e0b7
Publikováno v:
Urban Governance, Vol 4, Iss 3, Pp 222-231 (2024)
Despite years of investment into the water sector in Ghana, access to and expenditure on potable water for drinking and domestic use remain a challenge for most urban households. However, within the urban context, the severity of water challenges var
Externí odkaz:
https://doaj.org/article/0916322f0fa446cc9e32fa39ddb53d53
Publikováno v:
Urban Governance, Vol 4, Iss 3, Pp 180-192 (2024)
As cities are developing to smart, new systems are utilized that contain a multitude of critical infrastructures. Although these offer major advantages, they are also exposed to new external and frequently uncontrollable factors increasing their risk
Externí odkaz:
https://doaj.org/article/18cc114880a243538124591a4083651b
Autor:
Sergei Basik
Publikováno v:
Urban Governance, Vol 4, Iss 3, Pp 193-197 (2024)
The current vertical/volumetric turn affected various academic fields, including urban scholarship. This short note broadens the critical literature by applying this emerging perspective on urban toponymic systems in the context of urban governance.
Externí odkaz:
https://doaj.org/article/0e44db3d8db34277b4331c1843b3e8f5
Publikováno v:
Urban Governance, Vol 4, Iss 3, Pp 162-179 (2024)
This manuscript investigates the multifaceted concept of urban resilience amidst escalating urbanization and environmental challenges. The study identifies and examines key problems across environmental, infrastructural, economic, human, social, and
Externí odkaz:
https://doaj.org/article/8c56a1877060441b9d71e78798993b2a
Urban development is shaped by historical, geographical, and economic factors, presenting challenges for planners in understanding urban form. This study models commute flows across multiple U.S. cities, uncovering consistent patterns in urban popula
Externí odkaz:
http://arxiv.org/abs/2411.05455
This paper introduces a novel approach to urban pathfinding by transforming traditional heuristic-based algorithms into deep learning models that leverage real-time contextual data, such as traffic and weather conditions. We propose two methods: an e
Externí odkaz:
http://arxiv.org/abs/2411.05044
Understanding the extent of urban flooding is crucial for assessing building damage, casualties and economic losses. Synthetic Aperture Radar (SAR) technology offers significant advantages for mapping flooded urban areas due to its ability to collect
Externí odkaz:
http://arxiv.org/abs/2411.04153
The increasingly populated cities of the 21st Century face the challenge of being sustainable and resilient spaces for their inhabitants. However, climate change, among other problems, makes these objectives difficult to achieve. The Urban Heat Islan
Externí odkaz:
http://arxiv.org/abs/2411.03162
Accurate Land Use and Land Cover (LULC) maps are essential for understanding the drivers of sustainable development, in terms of its complex interrelationships between human activities and natural resources. However, existing LULC maps often lack pre
Externí odkaz:
http://arxiv.org/abs/2411.02935