Home / Journals / RIG / Vol.30, No.2, 2020
Special lssues
  • Open AccessOpen Access

    ARTICLE

    Contribution of real-time traffic density indicators integrated into GIS

    Cyclists’ exposure to air pollution and noise in Mexico City

    Philippe Apparicio1 , Jérémy Gelb1, Paula Negron-Poblete2, Mathieu Carrier1, Stéphanie Potvin1 , Élaine Lesage-Mann1
    Revue Internationale de Géomatique, Vol.30, No.2, pp. 155-179, 2020, DOI:10.3166/rig.2021.00110
    Abstract Air pollution and road traffic noise are two important environmental nuisances that could be harmful to the health and well-being of urban populations. In Mexico City, as in many North American cities, there has been an upsurge in bicycle ridership. However, Mexico City is also well known for having high levels of noise and air pollution. The purpose of this study is threefold: 1) evaluate cyclists’ exposure to air pollution (nitrogen dioxide) and road traffic noise; 2) identify local factors that increase or reduce cyclists’ exposure, in paying particular attention to the type of road and bicycle path or lane… More >

  • Open AccessOpen Access

    ARTICLE

    MoGUS, un outil de modélisation et d’analyse comparative des trames urbaines

    Dominique Badariotti, Cyril Meyer, Yasmina Ramrani
    Revue Internationale de Géomatique, Vol.30, No.2, pp. 181-213, 2020, DOI:10.3166/rig.2021.00109
    Abstract In this paper, we propose a model and a methodology for the analysis of urban fabrics, sets of built morphological units articulated together by urban networks. The core of the paper presents the MoGUS model (Model Generator & analyser for Urban Simulation) and its formalization. This model jointly represents the buildings and the viaires networks of a city in a graph, and allows a comparative analysis of the properties of different urban fabrics, using derived indicators. A study plan applied to four types of archetypal urban fabrics (Hippodamean, medieval, radio-concentric, Haussmannic) generated with the MoGUS tool is presented to illustrate… More >

  • Open AccessOpen Access

    ARTICLE

    Vers une approche psychoacoustique et qualitative des paysages sonores de la commune de Sidi Bou Saïd

    Mohamed Amin Hammami1 , Christophe Claramunt2
    Revue Internationale de Géomatique, Vol.30, No.2, pp. 215-243, 2020, DOI:10.3166/rig.2022.00113
    Abstract The research presented in this paper introduces a qualitative approach for the representation of urban sound scapes. The approach combines a series of in situ psychoacoustics measurements recorded with different sensors with a qualitative evaluation derived from human beings acting in these urban environments. The experiments realized in the city of Sidi Bou Saïd illustrate the potential of the combination of the quantitative and qualitative views, as well as demonstration of the feasibility of the whole approach when experimented in a real urban environment.

    RÉSUMÉ
    La recherche présentée dans cet article propose une approche qualitative de qualification d’ambiances sonores dans… More >

  • Open AccessOpen Access

    ARTICLE

    Cartographie des surfaces pastorales à l’aide des données Sentinel 2 L3A et des données ouvertes

    Promesses et réalités

    Urcel Kalenga Tshingomba1,2, Magali Jouven2, Lucile Sautot2 , Imad Shaqura2, Maguelonne Teisseire1
    Revue Internationale de Géomatique, Vol.30, No.2, pp. 245-277, 2020, DOI:10.3166/rig.2022.00112
    Abstract In this paper we experiment an approach allowing to produce a coherent land use and cover of rangelands in the French Mediterranean areas represented by the Occitania and Provence-Alpes-Côte d’Azur regions. Four different data sources are used: the OSO land use and cover (OSO), the Registre Parcellaire Graphique (RPG), the BD-Forêt V.2.0 and Sentinel 2 L3A satellite data. The RPG of 2019 and the BD-Forêt updated in 2018 were used as the main source of reference data for training the models to classify the OSO 2019 low F-score class objects, after extraction of the reflectances, spectral and textural indices variables… More >

Per Page:

Share Link