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Lucia Lupi
This paper presents the conceptualisation of the City Data Plan, a data governance policy instrument intended to connect the production and use of urban data in a comprehensive and evolutive long-term strategy aligned with city development goals. The con...
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Toni Rantanen, Arttu Julin, Juho-Pekka Virtanen, Hannu Hyyppä and Matti T. Vaaja
Increasing interest has recently been shown towards the digital twins of cities. These urban digital twins utilize 3D city models together with other data sources, such as open data, which can be accessed, e.g., through application programming interfaces...
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Barbara Furletti, Roberto Trasarti, Paolo Cintia and Lorenzo Gabrielli
The increasing availability of large amounts of data and digital footprints has given rise to ambitious research challenges in many fields, which spans from medical research, financial and commercial world, to people and environmental monitoring. Whereas...
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Joao Mesquitela, Luis B. Elvas, Joao C Ferreira and Luis Nunes
Traffic accidents in urban areas lead to reduced quality of life and added pressure in the cities? infra-structures. In the context of smart city data is becoming available that allows a deeper analysis of the phenomenon. We propose a data fusion process...
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Santika Meilani
Abstrak___________________________________________________________________Kota Magelang merupakan kota kecil yang hanya memiliki beberapa ribu penduduk saja. Namun, tingkat pengangguran di Kota Magelang memiliki peringkat pertama dibanding dengan Kabupat...
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Santika Meilani
Abstrak ___________________________________________________________________ Kota Magelang merupakan kota kecil yang hanya memiliki beberapa ribu penduduk saja. Namun, tingkat pengangguran di Kota Magelang memiliki peringkat pertama dibanding dengan Kabup...
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Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis and Vassilios S. Verykios
Smart cities, leveraging advanced data analytics, predictive models, and digital twin techniques, offer a transformative model for sustainable urban development. Predictive analytics is critical to proactive planning, enabling cities to adapt to evolving...
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Perminder Singh, Sandeep Singla
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Ulzhan Bissarinova, Aidana Tleuken, Sofiya Alimukhambetova, Huseyin Atakan Varol and Ferhat Karaca
This paper introduces a deep learning (DL) tool capable of classifying cities and revealing the features that characterize each city from a visual perspective. The study utilizes city view data captured from satellites and employs a methodology involving...
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Dimitrios Lymperis and Christos Goumopoulos
The development of smart city applications often encounters a variety of challenges. These include the need to address complex requirements such as integrating diverse data sources and incorporating geographical data that reflect the physical urban envir...
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Eugenio Cesario, Paolo Lindia and Andrea Vinci
Leveraged by a large-scale diffusion of sensing networks and scanning devices in modern cities, huge volumes of geo-referenced urban data are collected every day. Such an amount of information is analyzed to discover data-driven models, which can be expl...
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Maria Uggla, Perola Olsson, Barzan Abdi, Björn Axelsson, Matthew Calvert, Ulrika Christensen, Daniel Gardevärn, Gabriel Hirsch, Eric Jeansson, Zuhret Kadric, Jonas Lord, Axel Loreman, Andreas Persson, Ola Setterby, Maria Sjöberger, Paul Stewart, Andreas Rudenå, Andreas Ahlström, Mikael Bauner, Kendall Hartman, Karolina Pantazatou, Wenjing Liu, Hongchao Fan, Gefei Kong, Hang Li and Lars Harrieadd Show full author list remove Hide full author list
Three-dimensional city models are increasingly being used for analyses and simulations. To enable such applications, it is necessary to standardise semantically richer city models and, in some cases, to connect the models with external data sources. In t...
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Huimin Zhong, Zhengjia Liu and Yihang Huang
Clarifying urban-rural spatial explicit structure changes is of great significance for understanding the urban-rural relationship evolution. Previous studies have mostly focused on urban internal spatial structure evolutions and less on the regional scal...
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Jie Zhu, Ziqi Lang, Shu Wang, Mengyao Zhu, Jiaming Na and Jiazhu Zheng
Night-time light data (NTL) have been extensively utilized to map urban fringe areas, but to date, there has not been a comprehensive evaluation of the existing spatial clustering methods for delineating the urban fringe using different types of night-ti...
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Borja Alonso, Giuseppe Musolino, Corrado Rindone and Antonino Vitetta
The reduction of urban congestion represents one of the main challenges for increasing sustainability. This implies the necessity to increase our knowledge of urban mobility and traffic. The fundamental diagram (FD) is a possible tool for analyzing the t...
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Xiaying Wang, Yumei Yang, Yuanping Xia, Shuaiqiang Chen and Yulin She
As one of the most developed coastal cities, Shanghai experiences long-term ground surface settlement disasters during urban expansion periods, which has adverse effects on economic development. To date, many studies regarding Shanghai?s ground surface s...
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Evgeny Shirinyan and Dessislava Petrova-Antonova
3D city models integrate heterogeneous urban data from multiple sources in a unified geospatial representation, combining both semantics and geometry. Although in past decades they have predominantly been used for visualization, today they are used in a ...
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Nikola Kranjcic, Dragana Dogancic, Bojan Ðurin and Anita Pticek Sirocic
This paper aims to present possible areas to plant different vegetation types near traffic jams to reduce air pollution in the capital of Croatia, the city of Zagreb. Based on main traffic road and random forest machine learning using WorldView-2 Europea...
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Qingyao Huang, Yihua Liu and Chengjing Chen
Understanding and quantifying urban expansion is critical to urban management and urban planning. The accurate delineation of built-up areas (BUAs) is the foundation for quantifying urban expansion. To quantify urban expansion simply and efficiently, we ...
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