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CITY PATH TOMOGRAPHY: RECONSTRUCTING SQUARE ROAD NETWORK FROM ARTIFICIAL USERS MOBILE PHONE DATA.

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Title: CITY PATH TOMOGRAPHY: RECONSTRUCTING SQUARE ROAD NETWORK FROM ARTIFICIAL USERS MOBILE PHONE DATA.
Alternate Title: TOMOGRAFÍA DE TRAYECTORIAS: RECONSTRUYENDO UNA RED CUADRADA DE CALLES A PARTIR DE USUARIOS ARTIFICIALES DE TELEFONÍA.
Authors: RODRÍGUEZ, A.1, LAGE-CASTELLANOS, A.1 ale.lage@gmail.com
Source: Revista Cubana de Física. dic2023, Vol. 40 Issue 2, p69-74. 6p.
Subjects: CITIES & towns, TOMOGRAPHY, CELL phones, RESIDENTIAL mobility, STATISTICAL physics, URBAN renewal, STATISTICAL models, TELECOMMUNICATION, COMPUTER simulation, TRAUMA registries, CELL phone users, HUMAN behavior
Abstract (English): Population mobility can be studied readily and cheaply using cellphone data, since people's mobility can be approximately mapped into tower-mobile registries. We model people moving in a grid-like city, where edges of the grid are weighted and paths are chosen according to overall weights between origin and destination. Cellphone users leave sparse signals in random nodes of the grid as they move by, mimicking the type of data collected from the tower-cellphone interactions. From this noisy data we seek to build a model of the city, i.e. to predict probabilities of paths from origin to destination. We focus on the simplest case where users move along shortest paths (no loops, no going backwards). In this simplied setting, we are able to infer the underlying weights of the edges (akin to road transitability) with an inverse statistical mechanic model. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): La movilidad de la población se puede estudiar de manera fácil y económica utilizando datos de la telefonía celular, mapeando la movilidad de las personas en registros de torres moviles. Se modela el movimiento de las personas en una ciudad en forma de red cuadrada, donde los nodos y sus conexiones se ponderan y las rutas se eligen de acuerdo con los pesos generales entre el origen y el destino. Los usuarios dejan senales dispersas en nodos de la red a medida que avanzan, imitando el tipo de datos recopilados de las interacciones entre la torre y el telefono celular. Utilizando estos datos buscamos construir un modelo de la ciudad, es decir, predecir probabilidades de caminos desde el origen hasta el destino. Se estudia el caso donde los usuarios se mueven a lo largo de los caminos mas cortos (sin lazos, sin retroceder). En esta configuracion simplificada, podemos inferir los pesos del modelo (similar a la transitabilidad de la carretera) con un modelo físico estadístico inverso. [ABSTRACT FROM AUTHOR]
Copyright of Revista Cubana de Física is the property of Universidad de La Habana and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: MedicLatina
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  Data: CITY PATH TOMOGRAPHY: RECONSTRUCTING SQUARE ROAD NETWORK FROM ARTIFICIAL USERS MOBILE PHONE DATA.
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  Data: TOMOGRAFÍA DE TRAYECTORIAS: RECONSTRUYENDO UNA RED CUADRADA DE CALLES A PARTIR DE USUARIOS ARTIFICIALES DE TELEFONÍA.
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  Data: <searchLink fieldCode="AR" term="%22RODRÍGUEZ%2C+A%2E%22">RODRÍGUEZ, A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22LAGE-CASTELLANOS%2C+A%2E%22">LAGE-CASTELLANOS, A.</searchLink><relatesTo>1</relatesTo><i> ale.lage@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Revista+Cubana+de+Física%22">Revista Cubana de Física</searchLink>. dic2023, Vol. 40 Issue 2, p69-74. 6p.
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  Data: <searchLink fieldCode="DE" term="%22CITIES+%26+towns%22">CITIES & towns</searchLink><br /><searchLink fieldCode="DE" term="%22TOMOGRAPHY%22">TOMOGRAPHY</searchLink><br /><searchLink fieldCode="DE" term="%22CELL+phones%22">CELL phones</searchLink><br /><searchLink fieldCode="DE" term="%22RESIDENTIAL+mobility%22">RESIDENTIAL mobility</searchLink><br /><searchLink fieldCode="DE" term="%22STATISTICAL+physics%22">STATISTICAL physics</searchLink><br /><searchLink fieldCode="DE" term="%22URBAN+renewal%22">URBAN renewal</searchLink><br /><searchLink fieldCode="DE" term="%22STATISTICAL+models%22">STATISTICAL models</searchLink><br /><searchLink fieldCode="DE" term="%22TELECOMMUNICATION%22">TELECOMMUNICATION</searchLink><br /><searchLink fieldCode="DE" term="%22COMPUTER+simulation%22">COMPUTER simulation</searchLink><br /><searchLink fieldCode="DE" term="%22TRAUMA+registries%22">TRAUMA registries</searchLink><br /><searchLink fieldCode="DE" term="%22CELL+phone+users%22">CELL phone users</searchLink><br /><searchLink fieldCode="DE" term="%22HUMAN+behavior%22">HUMAN behavior</searchLink>
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: Population mobility can be studied readily and cheaply using cellphone data, since people's mobility can be approximately mapped into tower-mobile registries. We model people moving in a grid-like city, where edges of the grid are weighted and paths are chosen according to overall weights between origin and destination. Cellphone users leave sparse signals in random nodes of the grid as they move by, mimicking the type of data collected from the tower-cellphone interactions. From this noisy data we seek to build a model of the city, i.e. to predict probabilities of paths from origin to destination. We focus on the simplest case where users move along shortest paths (no loops, no going backwards). In this simplied setting, we are able to infer the underlying weights of the edges (akin to road transitability) with an inverse statistical mechanic model. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Spanish)
  Group: Ab
  Data: La movilidad de la población se puede estudiar de manera fácil y económica utilizando datos de la telefonía celular, mapeando la movilidad de las personas en registros de torres moviles. Se modela el movimiento de las personas en una ciudad en forma de red cuadrada, donde los nodos y sus conexiones se ponderan y las rutas se eligen de acuerdo con los pesos generales entre el origen y el destino. Los usuarios dejan senales dispersas en nodos de la red a medida que avanzan, imitando el tipo de datos recopilados de las interacciones entre la torre y el telefono celular. Utilizando estos datos buscamos construir un modelo de la ciudad, es decir, predecir probabilidades de caminos desde el origen hasta el destino. Se estudia el caso donde los usuarios se mueven a lo largo de los caminos mas cortos (sin lazos, sin retroceder). En esta configuracion simplificada, podemos inferir los pesos del modelo (similar a la transitabilidad de la carretera) con un modelo físico estadístico inverso. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Revista Cubana de Física is the property of Universidad de La Habana and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 6
        StartPage: 69
    Subjects:
      – SubjectFull: CITIES & towns
        Type: general
      – SubjectFull: TOMOGRAPHY
        Type: general
      – SubjectFull: CELL phones
        Type: general
      – SubjectFull: RESIDENTIAL mobility
        Type: general
      – SubjectFull: STATISTICAL physics
        Type: general
      – SubjectFull: URBAN renewal
        Type: general
      – SubjectFull: STATISTICAL models
        Type: general
      – SubjectFull: TELECOMMUNICATION
        Type: general
      – SubjectFull: COMPUTER simulation
        Type: general
      – SubjectFull: TRAUMA registries
        Type: general
      – SubjectFull: CELL phone users
        Type: general
      – SubjectFull: HUMAN behavior
        Type: general
    Titles:
      – TitleFull: CITY PATH TOMOGRAPHY: RECONSTRUCTING SQUARE ROAD NETWORK FROM ARTIFICIAL USERS MOBILE PHONE DATA.
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            NameFull: RODRÍGUEZ, A.
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            NameFull: LAGE-CASTELLANOS, A.
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            – D: 01
              M: 12
              Text: dic2023
              Type: published
              Y: 2023
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