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Immigration and future housing needs in Switzerland: Agent-based modelling of agglomeration Lausanne / Marcello Marini in Computers, Environment and Urban Systems, vol 78 (November 2019)  

Public [article]  inComputers, Environment and Urban Systems > vol 78 (November 2019) Titre : Immigration and future housing needs in Switzerland: Agent-based modelling of agglomeration Lausanne Type de document : Article/Communication Auteurs : Marcello Marini, Auteur ; Ndaona Chokani, Auteur ; Reza S. Abhari, Auteur Année de publication : 2019 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] agglomération [Termes descripteurs IGN] banlieue [Termes descripteurs IGN] croissance urbaine [Termes descripteurs IGN] données spatiotemporelles [Termes descripteurs IGN] immigration [Termes descripteurs IGN] Lausanne [Termes descripteurs IGN] logement [Termes descripteurs IGN] mobilité urbaine [Termes descripteurs IGN] modèle numérique du bâti [Termes descripteurs IGN] modèle orienté agent [Termes descripteurs IGN] périphérie urbaine [Termes descripteurs IGN] projection perspective [Termes descripteurs IGN] système multi-agents Résumé : (auteur) Immigration accounts for 80% of Switzerland's annual population growth, and therefore profoundly impacts demographics, and the attendant housing needs. As there are different possible future scenarios of immigration that will impact urban transformation in Switzerland, we have developed an agent-based dwellings model that, with reasonable computing time due to the use of the computer architecture of graphical processor units, can simulate for a time horizon of decades, the annual evolution of millions of individually characterised households. This dwellings model is coupled to an agent-based population model that simulates millions of individual population agents. We simulate different immigration scenarios, up to 2035, in the Swiss agglomeration of Lausanne. It is shown that the building capacity of the city of Lausanne will reach a limit in 2022, subsequently leading to more rapid growth in the periphery of the agglomeration Lausanne. The construction of new residential dwellings consists primarily of smaller apartments that are more attractive to the demographic of smaller households; this demographic tends to move to the periphery. As families tend to move towards the city centre due to the availability of services, the city and periphery show opposite evolutions over time in the numbers of family households compared to numbers of singles and couples households. The periphery requires an increase in the number and typology of services targeted at the growing demographic of smaller households. Further as most workplaces are still be located in the city centre, the planned improvement of transportation infrastructure in the agglomeration should primarily focus on improved access to the periphery. These observations underline the profound impact of the typology of immigration on the demand for suitable housing, and thus on urban development. Numéro de notice : A2019-413 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.compenvurbsys.2019.101400 date de publication en ligne : 01/09/2019 En ligne : https://doi.org/10.1016/j.compenvurbsys.2019.101400 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93538 [article]

Exploring the uncertainty of activity zone detection using digital footprints with multi-scaled DBSCAN / Xinyi Liu in International journal of geographical information science IJGIS, Vol 33 n° 5-6 (May - June 2019)  

Public [article]  inInternational journal of geographical information science IJGIS > Vol 33 n° 5-6 (May - June 2019) . - pp 1196 - 1223 Titre : Exploring the uncertainty of activity zone detection using digital footprints with multi-scaled DBSCAN Type de document : Article/Communication Auteurs : Xinyi Liu, Auteur ; Qunying Huang, Auteur ; Song Gao, Auteur Année de publication : 2019 Article en page(s) : pp 1196 - 1223 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] analyse de groupement [Termes descripteurs IGN] données issues des réseaux sociaux [Termes descripteurs IGN] mobilité urbaine [Termes descripteurs IGN] réseau social [Termes descripteurs IGN] Twitter Mots-clés libres : density-based spatial clustering of applications with noise (DBSCAN) Résumé : (Auteur) The density-based spatial clustering of applications with noise (DBSCAN) method is often used to identify individual activity clusters (i.e., zones) using digital footprints captured from social networks. However, DBSCAN is sensitive to the two parameters, eps and minpts. This paper introduces an improved density-based clustering algorithm, Multi-Scaled DBSCAN (M-DBSCAN), to mitigate the detection uncertainty of clusters produced by DBSCAN at different scales of density and cluster size. M-DBSCAN iteratively calibrates suitable local eps and minpts values instead of using one global parameter setting as DBSCAN for detecting clusters of varying densities, and proves to be effective for detecting potential activity zones. Besides, M-DBSCAN can significantly reduce the noise ratio by identifying all points capturing the activities performed in each zone. Using the historic geo-tagged tweets of users in Washington, D.C. and in Madison, Wisconsin, the results reveal that: 1) M-DBSCAN can capture dispersed clusters with low density of points, and therefore detecting more activity zones for each user; 2) A value of 40 m or higher should be used for eps to reduce the possibility of collapsing distinctive activity zones; and 3) A value between 200 and 300 m is recommended for eps while using DBSCAN for detecting activity zones. Numéro de notice : A2019-445 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1563301 date de publication en ligne : 09/01/2019 En ligne : https://doi.org/10.1080/13658816.2018.1563301 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92781 [article]

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A methodology with a distributed algorithm for large-scale trajectory distribution prediction / QiuLei Guo in International journal of geographical information science IJGIS, Vol 33 n° 3-4 (March - April 2019)  

Public [article]  inInternational journal of geographical information science IJGIS > Vol 33 n° 3-4 (March - April 2019) . - pp 833 - 854 Titre : A methodology with a distributed algorithm for large-scale trajectory distribution prediction Type de document : Article/Communication Auteurs : QiuLei Guo, Auteur ; Hassan A. Karimi, Auteur Année de publication : 2019 Article en page(s) : pp 833 - 854 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] circulation urbaine [Termes descripteurs IGN] distribution spatiale [Termes descripteurs IGN] données massives [Termes descripteurs IGN] données spatiotemporelles [Termes descripteurs IGN] gestion de trafic [Termes descripteurs IGN] migration pendulaire [Termes descripteurs IGN] mobilité urbaine [Termes descripteurs IGN] New York (Etats-Unis ; ville) [Termes descripteurs IGN] Pékin (Chine) [Termes descripteurs IGN] population urbaine [Termes descripteurs IGN] prédiction [Termes descripteurs IGN] trajectoire Résumé : (Auteur) In this paper, we propose a method for predicting the distributions of people’s trajectories on the road network throughout a city. Specifically, we predict the number of people who will move from one area to another, their probable trajectories, and the corresponding likelihoods of those trajectories in the near future, such as within an hour. With this prediction, we will identify the hot road segments where potential traffic jams might occur and reveal the formation of those traffic jams. Accurate predictions of human trajectories at a city level in real time is challenging due to the uncertainty of people’s spatial and temporal mobility patterns, the complexity of a city level’s road network, and the scale of the data. To address these challenges, this paper proposes a method which includes several major components: (1) a model for predicting movements between neighboring areas, which combines both latent and explicit features that may influence the movements; (2) different methods to estimate corresponding flow trajectory distributions in the road network; (3) a MapReduce-based distributed algorithm to simulate large-scale trajectory distributions under real-time constraints. We conducted two case studies with taxi data collected from Beijing and New York City and systematically evaluated our method. Numéro de notice : A2019-218 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1536981 date de publication en ligne : 31/10/2018 En ligne : https://doi.org/10.1080/13658816.2018.1536981 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92690 [article]

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Detecting arbitrarily shaped clusters in origin-destination flows using ant colony optimization / Si Song in International journal of geographical information science IJGIS, Vol 33 n° 1-2 (January - February 2019)  

Public [article]  inInternational journal of geographical information science IJGIS > Vol 33 n° 1-2 (January - February 2019) . - pp 134 - 154 Titre : Detecting arbitrarily shaped clusters in origin-destination flows using ant colony optimization Type de document : Article/Communication Auteurs : Si Song, Auteur ; Tao Pei, Auteur ; Ting Ma, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 134 - 154 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] analyse de groupement [Termes descripteurs IGN] données localisées [Termes descripteurs IGN] migration pendulaire [Termes descripteurs IGN] modèle statistique [Termes descripteurs IGN] optimisation par colonie de fourmis [Termes descripteurs IGN] origine - destination Mots-clés libres : logarithme du rapport de vraisemblance  log likelihood ratio (LLR) Résumé : (auteur) An origin-destination (OD) flow can be defined as the movement of objects between two locations. These movements must be determined for a range of purposes, and strong interactions can be visually represented via clustering of OD flows. Identification of such clusters may be useful in urban planning, traffic planning and logistics management research. However, few methods can identify arbitrarily shaped flow clusters. Here, we present a spatial scan statistical approach based on ant colony optimization (ACO) for detecting arbitrarily shaped clusters of OD flows (AntScan_flow). In this study, an OD flow cluster is defined as a regional pair with significant log likelihood ratio (LLR), and the ACO is employed to detect the clusters with maximum LLRs in the search space. Simulation experiments based on AntScan_flow and SaTScan_flow show that AntScan_flow yields better performance based on accuracy but requires a large computational demand. Finally, a case study of the morning commuting flows of Beijing residents was conducted. The AntScan_flow results show that the regions associated with moderate- and long-distance commuting OD flow clusters are highly consistent with subway lines and highways in the city. Additionally, the regions of short-distance commuting OD flow clusters are more likely to exhibit ‘residential-area to work-area’ patterns. Numéro de notice : A2019-019 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1516287 date de publication en ligne : 10/09/2018 En ligne : https://doi.org/10.1080/13658816.2018.1516287 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91684 [article]

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Digital preservation, social history, and the Quon Sang Lung Laundry building : a case study from Fort Macleod, Alberta, Canada / Peter Dawson in Applied geomatics, vol 10 n° 4 (December 2018)  

Public [article]  inApplied geomatics > vol 10 n° 4 (December 2018) . - pp 361 - 375 Titre : Digital preservation, social history, and the Quon Sang Lung Laundry building : a case study from Fort Macleod, Alberta, Canada Type de document : Article/Communication Auteurs : Peter Dawson, Auteur ; Alireza Farrokhi, Auteur ; Allan Rowe, Auteur ; Farzan Baradaran, Auteur ; Derek D. Lichti, Auteur Année de publication : 2018 Article en page(s) : pp 361 - 375 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes descripteurs IGN] Alberta [Termes descripteurs IGN] conservation du patrimoine [Termes descripteurs IGN] histoire [Termes descripteurs IGN] immigration [Termes descripteurs IGN] reconstruction 3D du bâti [Termes descripteurs IGN] semis de points Résumé : (Auteur) Social history focuses on understanding the everyday lives of ordinary people (Richardson 2011, Social history, local history, and historiography: collected essays). The ethnic minorities that made up immigrant communities in North American towns and cities during the late nineteenth and early twentieth centuries have been of particular interest to social historians (Tosh 2017, From the ‘cape of despair’ to the Cape of Good Hope: letters of the emigrant poor in early nineteenth-century England. Social History 42:480–500). However, language barriers and low rates of literacy often limit the number of first person accounts written by people who belonged to such communities. This paper explores how terrestrial laser scanning (TLS) and 3D reconstructive modeling of heritage buildings can provide new insights into the social history of Chinese immigrants in Alberta during the nineteenth and early twentieth centuries. These technologies were used to rapidly and accurately document the Quon Sang Lung Laundry shop in Fort Macleod, Alberta, prior to its scheduled demolition. The resulting digital data sets were used to construct detailed architectural plans of the building, as well as photorealistic 3D reconstructions of the shop, as it would have appeared at different points in history. The resulting point clouds were further explored to detect and extract evidence of the lived experiences of its occupants. For example, the conflicts and tensions surrounding Chinese laundries, and the discriminatory bylaws that resulted, may be subtly reflected in specific architectural details of the laundry shop, such as evidence for the presence of walls no longer standing. The ability to return to accurate digital models, over and over again, provides unique opportunities to construct social histories of buildings long after they are gone. Numéro de notice : A2018-591 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12518-018-0232-4 date de publication en ligne : 11/07/2018 En ligne : https://doi.org/10.1007/s12518-018-0232-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92515 [article]

Using Network Segments in the Visualization of Urban Isochrones / Jeff Allen in Cartographica, vol 53 n° 4 (winter 2018)  

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A cross-analysis framework for multi-source volunteered, crowdsourced, and authoritative geographic information : The case study of volunteered personal traces analysis against transport network data / Gloria Bordogna in Geo-spatial Information Science, vol 21 n° 3 (October 2018)  

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Spatial discontinuities, health and mobility - What do the Google's POIs and tweets tell us about Bangkok's (Thailand) structures and spatial dynamics? / Alexandre Cebeillac in Revue internationale de géomatique, vol 28 n° 4 (octobre - décembre 2018)  

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Spatial mining of migration patterns from web demographics / T. Edwin Chow in International journal of geographical information science IJGIS, vol 32 n° 9-10 (September - October 2018)  

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Interplay between urban communities and human‐crowd mobility: A study using contributed geospatial data sources / Mohammad Forghani in Transactions in GIS, vol 22 n° 4 (August 2018)  

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Human mobility semantics analysis : a probabilistic and scalable approach / Xiaohui Guo in Geoinformatica [en ligne], vol 22 n° 3 (July 2018)  

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Un modèle spatiotemporel sémantique pour la modélisation de mobilités en milieu urbain / Meihan Jin in Revue internationale de géomatique, vol 28 n° 3 (juillet - septembre 2018)  

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Quels apports du Géoweb et de la géolocalisation pour représenter les mobilités touristiques ? / Sylvain Genevois in Mappemonde [en ligne], n° 124 (juillet 2018)  

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Le SIG au secours du plan de mobilité des entreprises / Hubert d' Erceville in SIGmag, n° 17 (juin 2018)

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Open data, big data : quel renouveau du raisonnement cartographique ? / Emilie Lerond in Cartes & Géomatique, n° 235-236 (mars - juin 2018)

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