{"id":8487,"date":"2018-10-22T11:12:25","date_gmt":"2018-10-22T09:12:25","guid":{"rendered":"https:\/\/www.telecom-sudparis.eu\/en\/?p=8487"},"modified":"2025-02-10T17:12:44","modified_gmt":"2025-02-10T16:12:44","slug":"data-mobility-or-the-art-of-modeling-travel-patterns","status":"publish","type":"post","link":"https:\/\/www.telecom-sudparis.eu\/en\/research\/data-mobility-or-the-art-of-modeling-travel-patterns\/","title":{"rendered":"Data-Mobility or the art of modeling travel patterns"},"content":{"rendered":"
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    DATA-MOBILITY :<\/h1>\n

    THE ART OF MODELING TRAVEL PATTERNS<\/h1>\n

    The major rail workers\u2019 strike in France on the spring of 2018 transformed French travel habits, especially in the Ile-de-France region. Vincent Gauthier, a researcher at T\u00e9l\u00e9com SudParis, is working to understand the travel patterns in this region and around the world using mobile data<\/strong><\/h2>\n
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      \n\t Data-Mobility or the art of modeling travel patterns <\/h1>\n \n\t <\/header>\n
      \n The French have a saying that reflects the daily routine of millions of Parisians: \u201cm\u00e9tro-boulot-dodo<\/em>\u201d (metro-work-sleep).\u00a0 While this seems to be the universal experience for Il-de-France residents, individual variations exist. Some individuals only use public transport via one of the two major networks, RATP or SNCF, but others prefer driving. There are also those who change from the metro to the RER train, or leave their car part way and take a train. All of this information can be found through mobile data analysis. Vincent Gauthier, associate research professor at T\u00e9l\u00e9com SudParis, has become a specialist in the area.\n

      Using mobile networks to understand mobility<\/strong><\/h2>\nDetermining someone\u2019s travel itinerary based on the mobile data provided by their operator is not an easy task. \u201cA telephone only transmits its GPS position to applications that request it, such as Waze<\/em>,\u201d Vincent Gauthier explains. \u201cThe only knowledge an operator can use to establish a person\u2019s geographic location is which mobile base stations they were connected to during their travels<\/em>.\u201d\n\nThe French telephone network, which is shared between different operators including Orange, SFR and Bouygues, forms an irregular grid pattern (see Fig. 3). The different relay or base stations provide a network connection based on clearly defined zones. When a person leaves a zone, they automatically enter another one, and their telephone connects to the new corresponding base station. The size of these zones varies in each region. In the Ile-de-France region, a large number of base stations are concentrated and clustered together in Paris, but there are much fewer in the Seine-et-Marne region. <\/div>\n <\/article>\n\n <\/main>\n <\/div>\n <\/div>\n\t<\/div><\/div><\/div><\/div><\/div>
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      \n\t\t\t\t\t\tUsing mobile networks to understand mobility\t\t\t\t\t\t<\/h1>\n\t\t\t\t\t\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div>
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      Fig. 1 : Method used to aggregate the transport networks to closely analyze the route taken.<\/p>\n<\/div>\n\t\t<\/div><\/div>

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      Fig. 2 : Origin-destination matrix for a day in the Ile-de-France region.<\/p>\n<\/div>\n\t\t<\/div><\/div>

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      Fig. 3 : Grid pattern for the mobile network base stations.<\/p>\n<\/div>\n\t\t<\/div><\/div><\/div>

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      \n\t Data-Mobility or the art of modeling travel patterns <\/h1>\n \n\t <\/header>\n
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      The information produced from these connections only allows origin-destination matrices that are more or less detailed to be established. As an expert in the graphical representation of large volumes of data (Fig. 2), Vincent Gauthier wants to take this analysis a step further: \u201cHow does a person travel? Why? Where does the person live? How many other people take the same route? Answering these questions could help us optimize mobility options<\/em>.\u201d<\/p>\n

      To reproduce the exact route an individual takes based on this non-specific information, he has worked on a new method with another researcher from T\u00e9l\u00e9com SudParis, Mounim El Yacoubi (ARMEDIA team\u2013EPH department).<\/p>\n

      From optimizing transportation to geodemographics<\/strong><\/h2>\n

      \u201cMounim and I have patented a method for automatically processing routes, which allows us to determine what types of transport a person has taken during their journey<\/em>,\u201d Vincent Gauthier explains. Thanks to their \u201cmethod for route estimation using mobile data\u201d, the two researchers can superimpose the different transport networks over the information the operators receive from the base stations (Fig. 1). \u201cTo identify the most likely road or rail journey the users have taken based on their route, we must use a huge database including the locations of the base stations, train stations and the maps of the different transport networks<\/em>.\u201d They are currently working with Bouygues to develop route estimations in \u201cnear real time\u201d.<\/p>\n

      In their work, the two researchers are drawing on previous socio-demographic studies they conducted in Milan and in Africa. \u201cWe participated in estimating population density in the Ivory Coast and Senegal<\/em>,\u201d explains Vincent Gauthier. \u201cThe goal was to provide socio-demographic data that was lacking in these countries, so that the United Nations could establish more reliable statistics<\/em>.\u201d<\/p>\n

      Vincent Gauthier\u2019s work goes beyond simply modeling big data; his expertise leads us to rethink the geography of our regions: \u201cBy analyzing individuals\u2019 routes and optimizing transport options accordingly, we could possibly divide the Ile-de-France region into more relevant sub-areas<\/em>.\u201d<\/p>\n <\/div>\n <\/article>\n\n <\/main>\n <\/div>\n <\/div>\n\t<\/div><\/div><\/div>

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      DATA-MOBILITY : THE ART OF MODELING TRAVEL PATTERNS The major rail workers\u2019 strike in France on the spring of 2018 transformed French travel habits, especially in the Ile-de-France region. Vincent Gauthier, a researcher at T\u00e9l\u00e9com SudParis, is working to understand the travel patterns in this region and around the world using mobile data More articles … <\/p>\n

      Continue reading “Data-Mobility or the art of modeling travel patterns”<\/span><\/a><\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[90,519,8],"tags":[],"class_list":["post-8487","post","type-post","status-publish","format-standard","hentry","category-a-la-une","category-news","category-research"],"acf":[],"yoast_head":"\nData-Mobility or the art of modeling travel patterns - TELECOM SudParis<\/title>\n<meta name=\"robots\" content=\"noindex, nofollow\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data-Mobility or the art of modeling travel patterns - TELECOM SudParis\" \/>\n<meta property=\"og:description\" content=\"DATA-MOBILITY : THE ART OF MODELING TRAVEL PATTERNS The major rail workers\u2019 strike in France on the spring of 2018 transformed French travel habits, especially in the Ile-de-France region. 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