Evaluating Urban Intensity Through a City Information Model – Intermediate Results From an Action Research Project

Deprêtre, A.; Jacquinod, Florence

doi:10.5194/isprs-annals-viii-4-w2-2021-153-2021

Cited by 3 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Deprêtre et al [14] are currently working on an vitality indicator that estimates urban intensity, based on City Information Model (CIM) data of the district of LaVallée. In this work, the authors approach the notion of urban intensity as an intensity of use of public spaces.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling Visit Potential to Predict Hotspots of a Future District

Delhoum,

Belaroussi

2023

Infrastructures

View full text Add to dashboard Cite

Understanding frequentation patterns allows urban planners to optimize the allocation of resources and infrastructure development. This includes determining the locations for schools, hospitals, public transportation, parks, and other amenities to efficiently meet the needs of the population. This paper proposes a study of the Visit Potential Model, an integrated model for evaluating the characteristics of public spaces. It is used to predict the potential potential presence of people in specific locations or public places. The model combines a universal law of visit frequencies in cities with a gravity measurement of accessibility. The adapted Visit Potential Model is represented as a graph by connecting public spaces to other spaces: population objects and attractor objects. Population objects represent places where people go in and out, such as houses, offices, and schools. Attractor objects include destinations that people visit, such as leisure parks and shopping malls. Originally, this static model was defined for a single time-frame by explicitly taking into the account the time component and a dynamic model was derived. A future district under construction was used as a case study: a multimodal transportation model was built to simulate and analyze the motion of people. The reported outcomes can be analyzed to provide us first insights of the potential for visiting the district’s public spaces and define its future hotspots and places of interaction.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Modeling Visit Potential to Predict Hotspots of a Future District

Delhoum,

Belaroussi

2023

Infrastructures

View full text Add to dashboard Cite

show abstract

Applications for Semantic 3D Streetspace Models and Their Requirements—A Review and Look at the Road Ahead

Beil,

Kolbe

2024

IJGI

View full text Add to dashboard Cite

In addition to geometric accuracy, topological information, appearance and georeferenced data, semantic capabilities are key strengths of digital 3D city models. This provides the foundation for a growing number of use cases, far beyond visualization. While these use cases mostly focused on models of buildings or the terrain so far, the increasing availability of data on roads and other transportation infrastructure opened up a range of emerging use cases in the field of semantic 3D streetspace models. While there are already a number of implemented examples, there is also a potential for new use cases not yet established in the field of 3D city modeling, which benefit from detailed representations of roads and their environment. To ensure clarity in our discussions, we introduce an unambiguous distinction between the terms `application domain’, `use case’, `functionality’ and `software application’. Based on these definitions, use cases are categorized according to their primary application domain and discussed with respect to relevant literature and required functionalities. Furthermore, requirements of functionalities towards semantic 3D streetspace models are determined and evaluated in detail with regard to geometric, semantic, topological, temporal and visual aspects. This article aims to give an overview on use cases in the context of semantic 3D streetspace models and to present requirements of respective functionalities, in order to provide insight for researchers, municipalities, companies, data providers, mapping agencies and other stakeholders interested in creating and using a digital twin of the streetspace.

show abstract

Le City Information Modelling (CIM) au service d’un projet urbain : retour d’expérience sur la première phase de mise en œuvre du CIM d’un quartier

Deprêtre,

Mielniczek,

Jacquinod

2023

Flux

View full text Add to dashboard Cite

De plus en plus de modèles, peu importe leur échelle (bâtiment, espace public, quartier, ville) sont mobilisés dans l’aménagement et sont considérés comme des outils favorisant la durabilité des projets et la collaboration des acteurs. Souvent enrichis d’informations sémantiques, ils portent des appellations différentes et sont techniquement très hétérogènes. Dans cet article, nous explorons la littérature scientifique qui se développe fortement autour du concept de city information model (CIM) et la confrontons à un retour d’expérience réalisé sur une démarche CIM déployée sur une zone d’aménagement concertée (ZAC). Notre enquête est réalisée en collaboration avec les acteurs du projet et dans les premières phases de la ZAC, afin de travailler avec les aménageurs sur les utilisations possibles du CIM du projet à l’échelle urbaine. Les entretiens se concentrent sur les aspects techniques et de gouvernance de ces modèles ainsi que sur les échanges entre acteurs. La confrontation des deux approches souligne un décalage entre les discours sur les CIM et leur concrétisation dans un projet rassemblant un grand nombre d’intervenants. Nous mettons ainsi en évidence la complexité de la définition d’un CIM, la nécessité de préciser les usages visés et la difficulté de mise en œuvre opérationnelle de la collaboration. Des pistes de recherches sont proposées pour consolider les connaissances théoriques et pratiques des maquettes numériques urbaines, telles que la collecte de données empiriques et la prise en compte des besoins des acteurs impliqués.

show abstract

Evaluating Urban Intensity Through a City Information Model – Intermediate Results From an Action Research Project

Cited by 3 publications

References 23 publications

Modeling Visit Potential to Predict Hotspots of a Future District

Modeling Visit Potential to Predict Hotspots of a Future District

Applications for Semantic 3D Streetspace Models and Their Requirements—A Review and Look at the Road Ahead

Le City Information Modelling (CIM) au service d’un projet urbain : retour d’expérience sur la première phase de mise en œuvre du CIM d’un quartier

Contact Info

Product

Resources

About