Paris-Gare-de-Lyon’s DNA: Analysis of Passengers’ Behaviors Through Wi-Fi Access Points

Yuji Yoshimura; Irene de la Torre - Arenas; Shinkyu Park; Paolo Santi; Stefan Seer; Carlo Ratti

doi:10.1007/978-3-030-55973-1_72

Paris-Gare-de-Lyon’s DNA: Analysis of Passengers’ Behaviors Through Wi-Fi Access Points

Yuji Yoshimura, Irene de la Torre - Arenas, Shinkyu Park, Paolo Santi, Stefan Seer, Carlo Ratti

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

This paper proposes a novel analytical framework for passengers’ spatio-temporal behaviors in a large-scale train station in Paris, France. We focus on extracting the passengers’ behavioral patterns, considering their sequential movement between key locations, their length of stay, and the relationship between them. For this purpose, we employ the sequence alignment methods, applying them to a Wi-Fi access points data set. The sequence alignment methods were first introduced to analyze DNA or RNA strings of information in molecular biology. One of their significant aspects is their ability to consider the order (or sequence) of events, thus making them well suited for the analysis of passengers’ behaviors in spatio-temporal aspects.

Original language	English (US)
Title of host publication	Springer Proceedings in Physics
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	589-596
Number of pages	8
ISBN (Print)	9783030559724
DOIs	https://doi.org/10.1007/978-3-030-55973-1_72
State	Published - Jan 1 2020
Externally published	Yes

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10.1007/978-3-030-55973-1_72

Cite this

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title = "Paris-Gare-de-Lyon{\textquoteright}s DNA: Analysis of Passengers{\textquoteright} Behaviors Through Wi-Fi Access Points",

abstract = "This paper proposes a novel analytical framework for passengers{\textquoteright} spatio-temporal behaviors in a large-scale train station in Paris, France. We focus on extracting the passengers{\textquoteright} behavioral patterns, considering their sequential movement between key locations, their length of stay, and the relationship between them. For this purpose, we employ the sequence alignment methods, applying them to a Wi-Fi access points data set. The sequence alignment methods were first introduced to analyze DNA or RNA strings of information in molecular biology. One of their significant aspects is their ability to consider the order (or sequence) of events, thus making them well suited for the analysis of passengers{\textquoteright} behaviors in spatio-temporal aspects.",

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AU - de la Torre - Arenas, Irene

AU - Park, Shinkyu

AU - Santi, Paolo

AU - Seer, Stefan

AU - Ratti, Carlo

N1 - Generated from Scopus record by KAUST IRTS on 2022-09-13

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Y1 - 2020/1/1

N2 - This paper proposes a novel analytical framework for passengers’ spatio-temporal behaviors in a large-scale train station in Paris, France. We focus on extracting the passengers’ behavioral patterns, considering their sequential movement between key locations, their length of stay, and the relationship between them. For this purpose, we employ the sequence alignment methods, applying them to a Wi-Fi access points data set. The sequence alignment methods were first introduced to analyze DNA or RNA strings of information in molecular biology. One of their significant aspects is their ability to consider the order (or sequence) of events, thus making them well suited for the analysis of passengers’ behaviors in spatio-temporal aspects.

AB - This paper proposes a novel analytical framework for passengers’ spatio-temporal behaviors in a large-scale train station in Paris, France. We focus on extracting the passengers’ behavioral patterns, considering their sequential movement between key locations, their length of stay, and the relationship between them. For this purpose, we employ the sequence alignment methods, applying them to a Wi-Fi access points data set. The sequence alignment methods were first introduced to analyze DNA or RNA strings of information in molecular biology. One of their significant aspects is their ability to consider the order (or sequence) of events, thus making them well suited for the analysis of passengers’ behaviors in spatio-temporal aspects.

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DO - 10.1007/978-3-030-55973-1_72

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Paris-Gare-de-Lyon’s DNA: Analysis of Passengers’ Behaviors Through Wi-Fi Access Points

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