Representation of concurrent points of view of urban changes for city models

Abstract

Cities evolve over time and their evolution is often studied using material objects and historical documents. Based on available evidence, researchers propose various hypotheses explaining the probable evolution, both imaginary and factual. Furthermore, city models are used to model and visualize 3D structures and semantic information of the cities. With the help of versioning of city objects, it is possible to represent temporal changes of city structures. And with the support for representing scenarios, it is possible to represent different possible sequences of urban changes. In this article, we formalize a set of rules for representation of concurrent points of view of researchers related to urban changes based on standard city model. The goal is to understand how the cities have evolved, what were the key changes and allow exchange between various hypotheses (or processes). We developed a proof of concept named UrbanCo 2 Fab based on these rules to demonstrate the highly potential use cases of our proposition.

Integrating multimedia documents and time‐evolving 3D city models for web visualization and navigation

“…However, cities are only represented by 3D geometric models and lack the thematic dimension. In addition, the temporal dimension is based on a snapshot model (representing static states at different time‐stamps) (Siabato, Claramunt, Ilarri, and Manso‐Callejo, 2018) while graph‐based models (representing static and changing states) provide more information about the evolution of cities and have been privileged these past years for 3D city models (Chaturvedi et al., 2017; Jaillot, Servigne, et al., 2020; Renolen, 2000; Samuel et al., 2018, 2020). Moreover, they do not allow navigation from one feature to other features (e.g., from one object to a set of associated documents).…”

“…(Biljecki, Stoter, Ledoux, Zlatanova, and Çöltekin, 2015). Furthermore, they have recently been enhanced into time‐evolving 3D city models (Chaturvedi, Smyth, Gesquière, Kutzner, and Kolbe, 2017; Jaillot, Servigne, and Gesquière, 2020; Samuel, Servigne, and Gesquière, 2018; Samuel, Servigne, and Gesquière, 2020). In parallel, the number of 3D geovisualization applications available has been growing in recent years, some of them even allowing visualization and navigation in 3D city models or in time‐evolving 3D city models (Jaillot, Servigne, et al., 2020).…”

Towards Limiting Semantic Data Loss in 4d Urban Data Semantic Graph Generation

“…In the case of CityGML based 4D city models, the conceptual model is traditionally extended to allow better temporal data support (Chaturvedi et al, 2017). Some recent works allow the representation of concurrent and successive versions of city models with graph-based versioning frameworks (Samuel et al, 2020) while others allow for time series and time-dependent data representations (such as internet of things sensor data) (Biljecki et al, 2018).…”

UD-SV : Plateforme d’exploration de données urbaines à n-dimensions — Espace, Temps, Thématiques

“…Souvent, ce processus s'inscrit dans le temps et il est nécessaire de pouvoir analyser l'impact de l'évolution des projets urbains. Des travaux récents ont permis d'intégrer la dimension temporelle à l'échelle de la ville (Chaturvedi et al, 2017), voire même proposent des vues concurrentes d'un même quartier (Samuel et al, 2020). Dans cet article, nous revenons sur la conception et le développement de la plateforme UD-SV, ainsi que sur certaines de ses fonctionnalités clés.…”