The Urban Nexus Project: When Urban Mobility Analysis, VGI and Data Science Meet Together

Burini, Federica; Ciriello, Daniele Ettore; Ghisalberti, Alessandra; Psaila, Giuseppe

doi:10.1007/978-3-319-70878-2_6

Cited by 6 publications

(6 citation statements)

References 8 publications

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“…Furthermore, Geospatial Data Management focuses on the underlying logic and code of database construction to suit large-scale data processing. Burini et al [35] proposed the J-CO framework based on JSON format. At the same time, Bareche and Xia [36] developed the VeST indexing technique, and Wang et al [37] implemented the STR method, all contributing to more precise and dynamic analysis of urban spatial data.…”

Section: Data-driven Approachmentioning

confidence: 99%

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Advancing Urban Life: A Systematic Review of Emerging Technologies and Artificial Intelligence in Urban Design and Planning

He,

Chen

2024

Buildings

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The advancement of cutting-edge technologies significantly transforms urban lifestyles and is indispensable in sustainable urban design and planning. This systematic review focuses on the critical role of innovative technologies and digitalization, particularly artificial intelligence (AI), in urban planning through geo-design, aiming to enhance urban life. It begins with exploring the importance of AI and digital tools in revolutionizing contemporary urban planning practices. Through the methodology based on the Systematic Reviews and Meta-Analyses (PRISMA) protocol, this review sifts through relevant literature over the past two decades by categorizing artificial intelligence technologies based on their functionalities. These technologies are examined for their utility in urban planning, environmental modeling, and infrastructure development, highlighting how they contribute to creating smarter and more livable cities. For instance, machine learning techniques like supervised learning excel in forecasting urban trends, whereas artificial neural networks and deep learning are superior in pattern recognition and vital for environmental modeling. This analysis, which refers to the comprehensive evaluation conducted in this Systematic Review, encompasses studies based on diverse data inputs and domains of application, revealing a trend toward leveraging AI for predictive analytics, decision-making improvements, and the automation of complex geospatial tasks in urban areas. The paper also addresses the challenges encountered, including data privacy, ethical issues, and the demand for cross-disciplinary knowledge. The concluding remarks emphasize the transformative potential of innovative technologies and digitalization in urban planning, advocating for their role in fostering better urban life. It also identifies future research avenues and development opportunities. In light of our review findings, this study concludes that AI technologies indeed hold transformative promise for the field of geo-design and urban planning. They have proven instrumental in advancing predictive analytics, refining decision-making, and streamlining complex geospatial tasks. The AI’s capacity to process expansive datasets and improve urban planning accuracy has facilitated more sustainable urban development and enhanced the resilience of urban environments.

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Section: Data-driven Approachmentioning

confidence: 99%

“…Introducing the J-CO framework for analyzing JSON-formatted data sets to improve urban planning in regeneration and mobility. [35] Urban Region…”

Section: Data-driven Approachmentioning

confidence: 99%

Advancing Urban Life: A Systematic Review of Emerging Technologies and Artificial Intelligence in Urban Design and Planning

He,

Chen

2024

Buildings

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“…A case-study which is worth mentioning is the one related to the students' work conducted in the village of Bossico in the northern part of Lake Iseo, in an area which connects the provinces of Bergamo and Brescia that have been recognized Italian Capital of Culture 2023. In this case, students could have an active role in participating to a research project conducted by the University of Bergamo (Burini, 2018) and could elaborate a mapping system on Google Earth Pro and to create a georeferenced video-guide using the free app Izitravel.it. in order to insert pictures, descriptions and videos collected during the participatory process with the local community of Bossico, in order to give tourists a useful tool to explore and have an immersive experience on the most relevant aspects of the landscape, as perceived by the inhabitants (Fig.…”

Section: The Active Role Of Students For Geolocated Guides For Landsc...mentioning

confidence: 99%

“…Geoscience offers a variety of opportunities to students coming with a background from different areas of study, and especially from the Humanities, offering them the opportunity to combine hard skills in the use of Geographic Information Technologies and digital technologies and soft skills related to historical, social and territorial approaches to spatial analysis. There are many interesting research experimentations combining hard and soft skills and considering the great potential of intertwining Geomatics, Engineering and Geographic methodologies (Burini, Ciriello, Ghisalberti, Psaila, 2018) and, then, the academic world needs more and more specific reflection on this kind of collaboration. Especially considering contemporary polycrisessuch as environmental, pandemic and geo-political crises -, it is more and more necessary to offer young generations some complementary competencies strongly connected to the needs of inhabitants, communities and stakeholders.…”

Section: Introductionmentioning

confidence: 99%

Challenge Based Learning Geoscience: Student-Oriented Teaching for Digital Mapping

D’Urso

Burini

Ghisalberti

2023

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This essay presents Challenge-Based Learning with a student-oriented perspective in Geoscience showing how digital mapping constitutes a useful tool for teaching geomatic, geographical, urban and tourism disciplines. Focused on real-life case studies, it stimulates students to acquire integrated hard and soft skills in an active and collaborative way, to let them be protagonists of their educational path. The learning strategy adopted within some master’s courses at the University of Bergamo (Italy) is presented with the aim of offering an overview of its usefulness in the context of Geospatial Information Science for spatial planning, in respect of the environment and its ecosystems, of the bio-diversity of the territories and, also, of the vocations of a place and the communities living it. All these aspects are addressed through the use of cartography, intended not only as an Euclidean system of representation, but also as an interactive archive of spatial, geographical, environmental, socio-economic and human information in continuous transformation and evolution. In the master’s courses in “Geo-urban Planning” and “Planning and Management of Tourism Systems”, the Challenge-based learning and the student-oriented approach are experimented through the use of real-life case studies and collaborative processes and mapping to transfer Geosciences competencies and allow students to adopt measures for urban regeneration, landscape enhancement and slow tourism promotion.

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“…e Urban Nexus project (see the seminal paper [13] for more information) aims at developing a scientific and educational cooperation among University of Bergamo (Italy), Ecole Polytechnique Fédérale de Lausanne (Switzerland), and Anglia Ruskin University in Cambridge (UK) (the research project is an initiative of the University of Bergamo in Italy, under the scientific coordination of Emanuela Casti and Federica Burini at the CST-DiatheisLab; see: http://urbannexus.unibg.it). e overall goal is to develop a methodology to analyze contemporary cities through an integrated and interdisciplinary approach, in order to foster renovation and improvement of accessibility to the city.…”

Section: E Urban Nexus Project: An Interdisciplinary Approach To Studmentioning

confidence: 99%

The Urban Nexus Approach for Analyzing Mobility in the Smart City: Towards the Identification of City Users Networking

Burini

Cortesi

Gotti

et al. 2018

Mobile Information Systems

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We present an interdisciplinary approach that makes possible to learn how citizens live in the city by the means of mobile social media data, that is, volunteered geographical information provided by the inhabitants through social media and mobile apps, by adopting a new reticular approach to spatial analysis. In particular, we present the general notions as background of our work, an investigation methodology to apply whenever such an analysis task must be performed, and a digital environment of tools and frameworks to support the methodology.

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The Urban Nexus Project: When Urban Mobility Analysis, VGI and Data Science Meet Together

Cited by 6 publications

References 8 publications

Advancing Urban Life: A Systematic Review of Emerging Technologies and Artificial Intelligence in Urban Design and Planning

Advancing Urban Life: A Systematic Review of Emerging Technologies and Artificial Intelligence in Urban Design and Planning

Challenge Based Learning Geoscience: Student-Oriented Teaching for Digital Mapping

The Urban Nexus Approach for Analyzing Mobility in the Smart City: Towards the Identification of City Users Networking

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