Les choix résidentiels des couples : motivations, arbitrages et logiques de genre parmi les classes moyennes supérieures urbaines

Après s'être longtemps focalisée sur l'individu, la littérature consacrée à la mobilité résidentielle a mis en exergue l'importance de prendre en compte les ménages comme unité d'analyse. En s'intéressant à des couples appartenant aux classes moyennes supérieures et s'étant installés en zone urbaine centrale, cet article aborde la construction du choix résidentiel entre conjoints et leurs motivations. Différents arbitrages relatifs à la localisation sont identifiés selon qu'ils portent sur des problèmes de mobilité (réels ou anticipés), la conciliation entre carrière professionnelle et vie familiale, l'attachement territorial, l'appartenance linguistique (la ville étudiée étant bilingue) et la bi-résidentialité (ou non-cohabitation). Des logiques de genre sont identifiées. Bien que plus marquées parmi les couples âgés, elles représentent une variable importante pour expliquer l'organisation conjugale et se répercute sur le choix résidentiel de différentes manières

Domino D2.2 - Database structure

This is a technical deliverable describing the database used in Domino. The structure of the database along with information on the data sources used are included. This database has been used to store the input and outputs of the executions of the investigative case studies reported in D5.2 – Investigative case studies results. The deliverable includes a diagram of the relational database and a description of the different tables used with information on the different fields that define these tables. Information on the precomputation of data to create the required input for the model is also included. Current shortcomings of the database are identified and potential solutions highlighted

New centrality and causality metrics assessing air traffic network interactions

In ATM systems, the massive number of interacting entities makes it difficult to identify critical elements and paths of disturbance propagation, as well as to predict the system-wide effects that innovations might have. To this end, suitable metrics are required to assess the role of the interconnections between the elements and complex network science provides several network metrics to evaluate the network functioning. Here we focus on centrality and causality metrics measuring, respectively, the importance of a node and the propagation of disturbances along links. By investigating a dataset of US flights, we show that existing centrality and causality metrics are not suited to characterise the effect of delays in the system. We then propose generalisations of such metrics that we prove suited to ATM applications. Specifically, the new centrality is able to account for the temporal and multi-layer structure of ATM network, while the new causality metric focuses on the propagation of extreme events along the system

Towards new metrics assessing air traffic network interactions

In ATM systems, the massive number of interactin entities makes it difficult to predict the system-wide effects that innovations might have. Here, we present the approach proposed by the project Domino to assess such effects and identify the impact that innovations might bring for the different stake-holders, based on agent-based modelling and complex network science. Domino will model scenarios mirroring different system innovations which change the agents’ actions and behaviour. Suitable network metrics are needed to evaluate the effect of innovations on the network functioning. We review existing centrality and causality metrics and show their limitations in characterising the network by applying them to a dataset of US flights. We finally suggest improvements that should be introduced to obtain new metrics answering to Domino’s needs

Domino D5.3 Final tool and model description, and case studies results

This deliverable presents the final results obtained from the Domino project. It presents the corresponding metrics, the model, and a detailed analysis of two case studies. The main modifications to the model with respect to the previous version are highlighted, including curfew management. The calibration of the model is presented, which is similar to the previous version, with more in-depth analyses and further effort dedicated to the calibration process. Two case studies are defined in this deliverable, using previous definitions of the three base mechanisms: 4D trajectory adjustments, flight prioritisation, and flight arrival coordination. The case studies are defined to have a focused insight into the efficiency of the mechanisms in specific environments. The two case studies are run by the model and analysed using metrics previously defined, including centrality and causality metrics. The results show different levels of efficiency for the three mechanisms, highlight the degree of robustness to the propagation of negative effects (such as delay) in the system, demonstrate various trade-offs between the indicators, and support a discussion of the limit of the mechanisms

Domino D5.1 - Metrics and analysis approach

This deliverable presents the metrics proposed to assess the impact of innovations in the ATM system and a stylized ABM model, called a ‘toy model’, to be used as a test ground for the metrics. Existing network metrics are reviewed and their limitations are highlighted by applying them to real data. New metrics are then suggested to overcome these limitations. Their better results in measuring interconnections and causal relationships between the elements of the ATM system are shown for empirical case studies. The design of the toy model is presented and preliminary results of its baseline implementation are shown

DATASET2050 D5.1 - Mobility assessment

This document provides documentation on the mobility assessment metrics and methods for use within DATASET2050. On the one hand it describes what the key performance areas, attributes, indicators and metrics such as seamlessness, cost, duration, punctuality, comfort, resilience, etc. incorporated into the model are. On the other, it gives details about mobility metric computation, modelling methodology, visualisations used etc

Le choix de vivre en ville-centre : interactions entre mobilité quotidienne et mobilité résidentielle

Cet article s'insère dans un double débat : celui de l'influence des formes urbaines sur les pratiques modales et celui relatif au regain d'attractivité des villes pour les classes moyennes supérieures. Il aborde les interactions entre mobilité quotidienne et mobilité résidentielle dans un nouveau quartier d'une ville de taille moyenne. Les choix résidentiels étudiés se basent en grande partie sur la valorisation de la proximité. Toutefois, plusieurs styles de mobilité coexistent au sein de ce même contexte territorial en fonction notamment des parts modales des transports publics et de l'automobile

Surgical Approaches to Create Murine Models of Human Wound Healing

Wound repair is a complex biologic process which becomes abnormal in numerous disease states. Although in vitro models have been important in identifying critical repair pathways in specific cell populations, in vivo models are necessary to obtain a more comprehensive and pertinent understanding of human wound healing. The laboratory mouse has long been the most common animal research tool and numerous transgenic strains and models have been developed to help researchers study the molecular pathways involved in wound repair and regeneration. This paper aims to highlight common surgical mouse models of cutaneous disease and to provide investigators with a better understanding of the benefits and limitations of these models for translational applications