{"id":16711,"date":"2019-11-18T11:06:44","date_gmt":"2019-11-18T16:06:44","guid":{"rendered":"https:\/\/vieux.ivado.ca\/projets_de_recherche\/les-donnees-des-cartes-a-puces-des-transports-en-commun-passees-au-crible\/"},"modified":"2019-12-09T14:43:45","modified_gmt":"2019-12-09T19:43:45","slug":"mining-transit-system-chip-card-data-to-study-user-behaviours","status":"publish","type":"projets_de_recherche","link":"https:\/\/vieux.ivado.ca\/en\/research_projects\/mining-transit-system-chip-card-data-to-study-user-behaviours\/","title":{"rendered":"Extract information from transit system chip-card"},"content":{"rendered":"

The traditional method of obtaining a statistical portrait of transit users\u2019 commuting habits was to conduct one-time surveys, which provided only part of the picture. Today, when the microchips in transit passes are scanned, this generates a wealth of data. Researchers can sift through those data and use them to improve transit network service. This exploratory approach is an integral part of the research project we are conducting in partnership with SNCF-Keolis.<\/p>\n

\u201cWhen you use a chip card to get on the m\u00e9tro or the bus, it creates a set of data that says, \u2018this card was scanned at such-and-such a place and time,\u2019\u201d explains Maguelonne Chandesris. Over time and with larger populations of riders, these data accumulate. To extract information useful to decision-making, SNCF-Keolis partnered with the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (known by its French acronym, CIRRELT), one of our academic members. Using data from the Soci\u00e9t\u00e9 de transport de l\u2019Outaouais<\/a>, among others, they are developing algorithms to gain better insight into public transit network management.<\/p>\n

As a first step, the team sought to identify families of rider behaviours. Consider, for example, and a priori<\/em>, daily commuters who take a bus from Monday to Friday, and all other possible transit rider routines. Keep in mind, however, that an algorithm has no a priori<\/em> considerations built in. The researchers therefore developed an analytical method that groups together, with no a priori<\/em> considerations, chip-cards that follow a similar usage pattern. Applying the method month after month, they succeeded in determining and tracking the relative sizes of these families of behaviours, and were able to observe, for example, whether the group of daily riders that was dominant in January was still dominant in July, when most workers go on vacation.<\/p>\n

In July, however, some workers who do not go on vacation adopt a reduced schedule of four days per week. In that case, the composition of the group of daily riders changes compared to what it was in January. This raises a broader question: Do the families of behaviours retain their characteristics year-round? To answer it, the researchers therefore developed a second method to track changes in user behaviours.<\/p>\n

With the first method, we note that the group of riders is smaller in summer, and with the second, we see that this group changes because fewer people are working on Fridays\u201d<\/p><\/blockquote>\n

– Martin Tr\u00e9panier, a professor at Polytechnique Montr\u00e9al<\/a> and Director of CIRRELT. Catherine Morency, another CIRRELT member, is also taking part in the project<\/p>\n

Chip-card data still have a lot to tell us, and we will be continuing our research to study how behaviours change to reflect events such as festivals and international sports competitions, as well as to categorize m\u00e9tro stations by traffic volume. Over the longer term, SCNF-Keolis plans to apply these methods to the SNCF\u2019s Transilien suburban rail network in the \u00cele-de-France region, to better understand user behaviours and, ultimately, improve service.<\/p>\n

We\u2019re very happy to be working with the team at the CIRRELT<\/a>, a state-of-the-art, pioneering group that for years has been working on chip-card data.\u201d<\/p><\/blockquote>\n

– Maguelonne Chandesris, Business Developer with Kisio<\/a>, a business unit of Keolis<\/a>, groupe SNCF<\/a><\/p>\n

\"\"Maguelonne Chandesris
\nBusiness Developer,
\nKisio<\/a><\/p>\n<\/div><\/div>\n

\"\"<\/a><\/p>\n<\/div><\/div>\n

\"\"<\/a>Martin Tr\u00e9panier
\nDirector,
\nCIRRELT<\/a><\/p>\n<\/div><\/div>\n

\"\"<\/a><\/p>\n<\/div><\/div>\n

 <\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Maguelonne Chandesris
\nBusiness Developer chez Kisio<\/p>\n

Martin Tr\u00e9panier
\nDirecteur du CIRRELT<\/p>\n","protected":false},"featured_media":16723,"template":"","categories":[217],"acf":[],"yoast_head":"\nExtract information from transit system chip-card - IVADO<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Extract information from transit system chip-card - IVADO\" \/>\n<meta property=\"og:description\" content=\"Maguelonne Chandesris Business Developer chez Kisio Martin Tr\u00e9panier Directeur du CIRRELT\" \/>\n<meta property=\"og:url\" content=\"https:\/\/vieux.ivado.ca\/en\/research_projects\/mining-transit-system-chip-card-data-to-study-user-behaviours\/\" \/>\n<meta property=\"og:site_name\" content=\"IVADO\" \/>\n<meta property=\"article:modified_time\" content=\"2019-12-09T19:43:45+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/vieux.ivado.ca\/wp-content\/uploads\/2019\/11\/MONTAGE-public-transport-cartes-a-puces.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1140\" \/>\n\t<meta property=\"og:image:height\" content=\"383\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/vieux.ivado.ca\/en\/research_projects\/mining-transit-system-chip-card-data-to-study-user-behaviours\/\",\"url\":\"https:\/\/vieux.ivado.ca\/en\/research_projects\/mining-transit-system-chip-card-data-to-study-user-behaviours\/\",\"name\":\"Extract information from transit system chip-card - 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