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Multi-agent reinforcement learning to unify order-matching and vehicle-repositioning in ride-hailing services / Mingyue Xu in International journal of geographical information science IJGIS, vol 37 n° 2 (February 2023)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 37 n° 2 (February 2023) . - pp 380 - 402 Titre : Multi-agent reinforcement learning to unify order-matching and vehicle-repositioning in ride-hailing services Type de document : Article/Communication Auteurs : Mingyue Xu, Auteur ; Peng Yue, Auteur ; Fan Yu, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : pp 380 - 402 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] appariement de données localisées [Termes IGN] apprentissage profond [Termes IGN] autopartage [Termes IGN] Chine [Termes IGN] distribution spatiale [Termes IGN] interaction humain-espace [Termes IGN] modèle de Markov [Termes IGN] système d'information urbain [Termes IGN] système multi-agents [Termes IGN] taxi [Termes IGN] transmission de données [Termes IGN] zone d'activité économique Résumé : (auteur) The popularity of ride-hailing platforms has significantly improved travel efficiency by providing convenient and personalized transportation services. Designing an effective ride-hailing service generally needs to address two tasks: order matching that assigns orders to available vehicles and proactive vehicle repositioning that deploys idle vehicles to potentially high-demand regions. Recent studies have intensively utilized deep reinforcement learning to solve the two tasks by learning an optimal dispatching strategy. However, most of them generate actions for the two tasks independently, neglecting the interactions between the two tasks and the communications among multiple drivers. To this end, this paper provides an approach based on multi-agent deep reinforcement learning where the two tasks are modeled as a unified Markov decision process, and the colossal state space and competition among drivers are addressed. Additionally, a modifiable agent-specific state representation is proposed to facilitate knowledge transferring and improve computing efficiency. We evaluate our approach on a public taxi order dataset collected in Chengdu, China, where a variable number of simulated vehicles are tested. Experimental results show that our approach outperforms seven existing baselines, reducing passenger rejection rate, driver idle time and improving total driver income. Numéro de notice : A2023-058 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2022.2119477 Date de publication en ligne : 07/09/2022 En ligne : https://doi.org/10.1080/13658816.2022.2119477 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102396 [article]

Mapping trajectories and flows: facilitating a human-centered approach to movement data analytics / Somayeh Dodge in Cartography and Geographic Information Science, vol 48 n° 4 (July 2021)  

Public [article]  inCartography and Geographic Information Science > vol 48 n° 4 (July 2021) . - pp 353 - 375 Titre : Mapping trajectories and flows: facilitating a human-centered approach to movement data analytics Type de document : Article/Communication Auteurs : Somayeh Dodge, Auteur ; Evgeny Noi, Auteur Année de publication : 2021 Article en page(s) : pp 353 - 375 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse visuelle [Termes IGN] données de flux [Termes IGN] interaction humain-espace [Termes IGN] origine - destination [Termes IGN] trajectoire (véhicule non spatial) [Termes IGN] trajet (mobilité) [Termes IGN] visualisation cartographique [Vedettes matières IGN] Géovisualisation Résumé : (auteur) This paper argues for a “human-centered” approach to knowledge discovery from movement data through the use of visualization and mapping. As movement data becomes more available and diverse in dimension and resolution, mapping becomes particularly important in the exploratory analysis of movement trajectories and for capturing patterns and structures in large origin-destination flow data sets. Movement phenomena (e.g. ranging from micro-movements of humans and animals to macro-level mobility, to migration flows, to spread of viruses) are complex dynamic processes which are realized in a multidimensional location-time-context space. This paper provides a comprehensive overview of various visualization techniques for mapping movement through the lens of cartography and with a special focus on the “human user” (e.g. data scientist, analyst, domain expert, etc.). We systematically characterize and categorize available techniques based on their visual specifications and functional capacities for human control, map-interaction, and design flexibility. These elements are beneficial to enhance the user’s capacities for map reasoning and knowledge discovery. Trends and gaps in the literature on movement visualization over the past 10 years are discussed. Our review suggests that future research should focus more on the role of the “human” in the development of human-centered visual analytic and exploratory tools, while providing functionalities for mapping uncertainty and protecting individual privacy in knowledge discovery of movement. These tools should be guided by a cartographic framework and visual principles specifically pertinent to movement. Numéro de notice : A2021-446 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2021.1913763 Date de publication en ligne : 21/05/2021 En ligne : https://doi.org/10.1080/15230406.2021.1913763 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97853 [article]

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Composition of place: towards a compositional view of functional space / Emmanuel Papadakis in Cartography and Geographic Information Science, Vol 47 n° 1 (January 2020)  

Public [article]  inCartography and Geographic Information Science > Vol 47 n° 1 (January 2020) . - pp 28 - 45 Titre : Composition of place: towards a compositional view of functional space Type de document : Article/Communication Auteurs : Emmanuel Papadakis, Auteur ; Bernd Resch, Auteur ; Thomas Blaschke, Auteur Année de publication : 2020 Article en page(s) : pp 28 - 45 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] approche holistique [Termes IGN] enrichissement sémantique [Termes IGN] information géographique [Termes IGN] interaction humain-espace [Termes IGN] modélisation spatiale [Termes IGN] organisation spatiale [Termes IGN] représentation spatiale [Termes IGN] système d'information géographique Résumé : (Auteur) A long-standing question in GIScience is whether geographic information systems (GIS) facilitates an adequate quantifiable representation of the concept of place. Considering the difficulties of quantifying elusive concepts related to place, several researchers focus on more tangible dimensions of the human understanding of place. The most common approaches are semantic enrichment of spatial information and holistic conceptualization of the notion of place. However, these approaches give emphasis on either space or human meaning, or they mainly exist as concepts without practically proven usable artifacts. A partial answer to this problem was proposed by the function-based model that treats place as functional space. This paper focuses primarily on the level of composition, describing and formalizing it as a rule-based framework with the following objectives: (a) contribute to the formalization efforts of the notion of place and its integration within GIS and (b) maintain tangible properties intertwined with the human understanding of place. The operationalization potential of the proposed framework is illustrated with an example of identifying the shopping areas in an urban region. The results show that the proposed model is able to capture all shopping malls as well as other areas that are not explicitly labeled as such but still function similarly to a shopping mall. Numéro de notice : A2020-006 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2019.1598894 Date de publication en ligne : 06/06/2019 En ligne : https://doi.org/10.1080/15230406.2019.1598894 Format de la ressource électronique : URL Sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94343 [article]

Placial analysis of events: a case study on criminological places / Sunghwan Cho in Cartography and Geographic Information Science, Vol 46 n° 6 (November 2019)  

Public [article]  inCartography and Geographic Information Science > Vol 46 n° 6 (November 2019) . - pp 547-566 Titre : Placial analysis of events: a case study on criminological places Type de document : Article/Communication Auteurs : Sunghwan Cho, Auteur ; May Yuan, Auteur Année de publication : 2019 Article en page(s) : pp 547-566 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] cartographie statistique [Termes IGN] criminalité [Termes IGN] Dallas (Texas) [Termes IGN] détection d'événement [Termes IGN] données spatiotemporelles [Termes IGN] géolocalisation [Termes IGN] interaction humain-espace [Termes IGN] système d'information géographique [Termes IGN] zone à risque Résumé : (auteur) The contrast of space and place has long been an active topic of scholarly discussions in many disciplines. While spatial analysis enjoys a multitude of quantitative methods, the study of place remains mostly conceptual and descriptive. This paper expands upon the rich concepts of place in the literature to propose a quantitative framework for placial analysis based on events. Central to the proposed framework are three assumptions: (1) human experiences transform space to place; (2) events build human experiences in space; and (3) places emerge organically and may change characters, spatial extent and location over time through the shifts in occurrences and types of events in space and time. The proposed framework consists of three elements: clustering events, decomposing event distributions, and identifying the similarity of event clusters. We applied the framework to identify criminological places in the City of Dallas in the United States and the changes of these places from 1 June 2014 to 30 May 2018. Numéro de notice : A2019-417 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2019.1578265 Date de publication en ligne : 01/03/2019 En ligne : https://doi.org/10.1080/15230406.2019.1578265 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93544 [article]

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Depicting urban boundaries from a mobility network of spatial interactions : a case study of Great Britain with geo-located Twitter data / Junjun Yin in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 31 n° 7-8 (July - August 2017) . - pp 1293 - 1313 Titre : Depicting urban boundaries from a mobility network of spatial interactions : a case study of Great Britain with geo-located Twitter data Type de document : Article/Communication Auteurs : Junjun Yin, Auteur ; Aiman Soliman, Auteur ; Dandong Yin, Auteur ; Shaowen Wang, Auteur Année de publication : 2017 Article en page(s) : pp 1293 - 1313 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] comportement [Termes IGN] données issues des réseaux sociaux [Termes IGN] données socio-économiques [Termes IGN] géographie humaine [Termes IGN] Grande-Bretagne [Termes IGN] interaction humain-espace [Termes IGN] limite administrative [Termes IGN] mobilité urbaine [Termes IGN] réseau social [Termes IGN] trace GPS [Termes IGN] urbanisation Résumé : (Auteur) Existing urban boundaries are usually defined by government agencies for administrative, economic, and political purposes. However, it is not clear whether the boundaries truly reflect human interactions with urban space in intra- and interregional activities. Defining urban boundaries that consider socioeconomic relationships and citizen commute patterns is important for many aspects of urban and regional planning. In this paper, we describe a method to delineate urban boundaries based upon human interactions with physical space inferred from social media. Specifically, we depicted the urban boundaries of Great Britain using a mobility network of Twitter user spatial interactions, which was inferred from over 69 million geo-located tweets. We define the non-administrative anthropographic boundaries in a hierarchical fashion based on different physical movement ranges of users derived from the collective mobility patterns of Twitter users in Great Britain. The results of strongly connected urban regions in the form of communities in the network space yield geographically cohesive, nonoverlapping urban areas, which provide a clear delineation of the non-administrative anthropographic urban boundaries of Great Britain. The method was applied to both national (Great Britain) and municipal scales (the London metropolis). While our results corresponded well with the administrative boundaries, many unexpected and interesting boundaries were identified. Importantly, as the depicted urban boundaries exhibited a strong instance of spatial proximity, we employed a gravity model to understand the distance decay effects in shaping the delineated urban boundaries. The model explains how geographical distances found in the mobility patterns affect the interaction intensity among different non-administrative anthropographic urban areas, which provides new insights into human spatial interactions with urban space. Numéro de notice : A2017-303 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1282615 En ligne : http://dx.doi.org/10.1080/13658816.2017.1282615 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85350 [article]

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A GIS toolbox for measuring and mapping person-based space-time accessibility / Laure Charleux in Transactions in GIS, vol 19 n° 2 (April 2015)  

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Integrating socio-economic data for integrated land management (ILM): Examples from the Humber river basin, western Newfoundland / B. Eddy in Geomatica, vol 65 n° 3 (September 2011)  

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Visual analytics of spatial interaction patterns for pandemic decision support / D. Guo in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)  

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Un modèle de raisonnement spatial contextuel pour la navigation maritime / S. Fournier in Revue internationale de géomatique, vol 17 n° 1 (mars – mai 2007)  

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Des environnements 3D et le corps humain : une nouvelle classe de modèles qui portent sur l'interaction entre humain et espace / Geoffrey Edwards in Revue internationale de géomatique, vol 16 n° 2 (juin – août 2006)  

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GIS, spatial analysis, and modeling / David J. Maguire (2005)

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Simulation de la vie dans une ville virtuelle / D. Thalmann in Vermessung Photogrammetrie Kulturtechnik, vol 99 n° 7 (01/07/2001)

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