guarini, maria rosaria sica, francesco segura, alejandro
The dynamics underpinning the urban landscape change are primarily driven by social, economic, and environmental issues. Owing to the population’s fluctuating needs, a new and dual perspective of urban space emerges. The Artificial Intelligence (AI) of a territory, or the system of technical diligence associated with the anthropocentric world, make...
lin, li abdul shukor, shureen faris bin mat noor, mohd sallehuddin bin hasna, mohd fabian
This study explores the role of virtual immersive public art in improving the psychological well-being of urban residents. The research is set in the context of urban environments, where virtual immersive public art has the potential to foster innovation, integrate technology, and organically blend into public spaces. The study evaluates the impact...
seleznev, andrian shevchenko, andrew malinovsky, georgy ivanchukova, natali glukhov, vitaly hanfi, mohamed youssef
Local surface-depressed areas in an urban microrelief are geochemical traps for sediments deposited at the surface. These sediments accumulate pollutants over space and time. The aim of this study was to estimate the total amount of surface sediment in residential areas of small towns with different industrial specialisations. Snow-dirt sludge, sno...
Balez, Suzel Brayer, Laure
The workshop delves into the world of smell and its spatial representation in public spaces. The aim is to investigate how smell sensations and their spatial distribution can provide new insights into urban environments and public spaces. Smell maps are often limited to two dimensions, the aim here is to collectively explore the possibilities of se...
Khoja, Ahmed Felicioni, Licia Danylenko, Olena
Published in
IOP Conference Series: Earth and Environmental Science
The climate crisis intensifies rapidly, straining the urban environment and society. Addressing climate change requires collaborative efforts, integrating physical resilience with knowledge empowerment. Formal and informal knowledge are vital for effective adaptation. In the updated Intergovernmental Panel on Climate Change (IPCC) AR6 Report an emp...
kubečková, darja kubenková, kateřina afsoosbiria, hamed musenda, oskar kambole mohamed, khaled
In recent decades, the sustainable development of the planet has been negatively affected by a number of factors, including the construction industry. The construction industry includes, among other things, the highly topical energy reconstruction of existing prefabricated residential housing, which is implemented to improve their condition from a ...
mêda, pedro calvetti, diego sousa, hipólito moreira, joaquim
Digital Building Logbooks (DBLs) are the EU repositories for all building-related data. Logbook implementation conveys challenges, but it must be recognised that relevant things already exist. This article bridges the gap at the data discovery level by assessing the existing data and comparing it with EU DBL studies. Action research is the methodol...
xiao, he kozlowski, marek ujang, norsidah binti yue, ma
In rapid urbanization, the socio-spatial environment between inner-city functional areas faces numerous challenges. Assessing and enhancing the environmental quality of these areas has become an urgent research issue. This study quantitatively evaluates the social-spatial environment of inner-city transitional edges, selecting Chongqing’s Yuzhong D...
rana, md. sohel wang, qingyue wang, weiqian enyoh, christian ebere islam, md. rezwanul isobe, yugo kabir, humayun
Heavy metals in road dusts can directly pose significant health risks through ingestion, inhalation, and dermal contact. This study investigated the pollution, distribution, and health effect of heavy metals in street dust from industrial, capital city, and peri-urban areas of Bangladesh. Inductively coupled plasma mass spectrometry (ICP-MS) examin...
panfilova, tatyana kukartsev, vladislav tynchenko, vadim tynchenko, yadviga kukartseva, oksana kleshko, ilya xiaogang, wu malashin, ivan
Floods, caused by intense rainfall or typhoons, overwhelming urban drainage systems, pose significant threats to urban areas, leading to substantial economic losses and endangering human lives. This study proposes a methodology for flood assessment in urban areas using a multiclass classification approach with a Deep Neural Network (DNN) optimized ...