Information Fusion, Journal Year: 2024, Volume and Issue: unknown, P. 102832 - 102832
Published: Dec. 1, 2024
Language: Английский
Buildings, Journal Year: 2024, Volume and Issue: 14(12), P. 3824 - 3824
Published: Nov. 28, 2024
In the digital era, data collaboration constitutes a critical trend in urban planning and design. It is of paramount importance addressing contemporary issues related to misinterpretation, misapplication, misunderstanding spatial genes, as well facilitating sharing value creation associated with genes. this paper, targeting complex problems multiple entities threads gene research practice through, initially, literature review, correlation process between examined, concept background its proposal are expounded, challenges confronted spatial-gene analyzed. Then, an elaboration chain concept, framework for constructed, specifically encompassing three main links: convergence, mining, application. Finally, from aspects collection storage, analysis processing, circulation sharing, technical implementation paths suggestions put forward. We firmly contend that through establishment framework, it anticipated promote among entities, enhance efficiency scientificity design, thereby facilitate preservation cultural diversity sustainable development cities.
Language: Английский
Citations
1
Advances in geospatial technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 239 - 270
Published: Dec. 2, 2024
Studying current trends and opportunities in geospatial technologies for Smart cities helps city planners administrators understand technology advancements aids better implementation practice. Similarly, understanding future research directions enables researchers policymakers to harness these fully anticipate upcoming developments. Overall, this approach supports the creation of more livable, sustainable, equitable all. This chapter explores trends, emerging opportunities, directions. Geospatial AI is supported by several cutting-edge such as IoT, digital twins, 3D/4D urban modeling. Future should use advanced models, real-time analytics, privacy-preserving technologies. Understanding technologies' ethical inclusive essential support long-term sustainability citizen well-being. Such can ensure resilient, environments generations.
Language: Английский
Citations
1
Information Fusion, Journal Year: 2024, Volume and Issue: 114, P. 102667 - 102667
Published: Sept. 4, 2024
Language: Английский
Citations
0
Published: Oct. 3, 2024
Language: Английский
Citations
0
Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1744 - 1744
Published: Oct. 24, 2024
Today, urban areas across the world are increasingly vulnerable to emergencies due expanding populations and impact of climate change. This paper presents a data-driven method for assessing susceptibility regions emergencies, using publicly available data clustering-based algorithm. The study incorporates both spatial temporal dynamics, capturing fluctuating nature infrastructure patterns human movement over time. By introducing notion Points Temporal Influence (PTIs) new “susceptibility level” parameter, proposed model offers an innovative approach understanding susceptibility. Experiments conducted in London, UK, demonstrated effectiveness Spatiotemporal K-means Clustering algorithm identifying with heightened time-sensitive findings highlight value incorporating enhance emergency response strategies optimize planning efforts. contributes literature on smart cities by providing scalable adaptable improving resilience face evolving challenges.
Language: Английский
Citations
0
Information Fusion, Journal Year: 2024, Volume and Issue: unknown, P. 102832 - 102832
Published: Dec. 1, 2024
Language: Английский
Citations
0