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

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Publicado en:Revista Cubana de Física Vol. 40; no. 2; pp. 69 - 75
Autores principales: RODRÍGUEZ, A., LAGE-CASTELLANOS, A.
Formato: Artículo
Publicado: Universidad de La Habana dic2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: CITY PATH TOMOGRAPHY: RECONSTRUCTING SQUARE ROAD NETWORK FROM ARTIFICIAL USERS MOBILE PHONE DATA.
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        au:
          RODRÍGUEZ, A.
          LAGE-CASTELLANOS, A.
        affil: Center for Complex Systems, Faculty of Physics, University of Havana
      su:
        Cities & towns
        Tomography
        Cell phones
        Residential mobility
        Statistical physics
        Urban renewal
        Statistical models
        Telecommunication
        Computer simulation
        Trauma registries
        Cell phone users
        Human behavior
      sug:
        subj:
          Cities & towns
          Tomography
          Cell phones
          Residential mobility
          Statistical physics
          Urban renewal
          Statistical models
          Telecommunication
          Computer simulation
          Trauma registries
          Cell phone users
          Human behavior
      ab:
        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.
        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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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