A large volume of research has been devoted to the concept of mobility, a theme that is transversal to multiple fields of study and applications, from biology and ecology, to computer science and economy. Despite the considerable efforts made by a few scientific communities and the relevant results obtained so far, only very recently the issue of adopting a unifying and comprehensive approach across has been faced. In this paper, we present an overview of the quantitative framework we have recently developed to analyse and model human mobility, based on symbolic trajectories built on CDR data (Call Detail Record) provided by a telco operator [5]. Driven by a location-centric perspective, the framework includes a novel trajectory summarization technique for the extraction of the locations of interest from symbolic trajectories, a relevance analysis providing a novel location taxonomy and, inspired by ecological studies, a diversity analysis to characterize the movement through a location diversity profile. The ultimate goal of this contribution is to stress the need of a methodological integration between human and animal mobility analytical methods.

Multi-scale framework for attraction place identification across human and animal mobility / M.L. Damiani, F. Hachem, S. Gaito - In: HANIMOB '21[s.l] : Association for Computing Machinery (ACM), 2021 Nov. - ISBN 978-1-4503-9122-1. - pp. 1-4 (( Intervento presentato al 1. convegno ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility tenutosi a Beijing (China) nel 2021 [10.1145/3486637.3489488].

Multi-scale framework for attraction place identification across human and animal mobility

M.L. Damiani
Primo
;
F. Hachem
Secondo
;
S. Gaito
Ultimo
2021

Abstract

A large volume of research has been devoted to the concept of mobility, a theme that is transversal to multiple fields of study and applications, from biology and ecology, to computer science and economy. Despite the considerable efforts made by a few scientific communities and the relevant results obtained so far, only very recently the issue of adopting a unifying and comprehensive approach across has been faced. In this paper, we present an overview of the quantitative framework we have recently developed to analyse and model human mobility, based on symbolic trajectories built on CDR data (Call Detail Record) provided by a telco operator [5]. Driven by a location-centric perspective, the framework includes a novel trajectory summarization technique for the extraction of the locations of interest from symbolic trajectories, a relevance analysis providing a novel location taxonomy and, inspired by ecological studies, a diversity analysis to characterize the movement through a location diversity profile. The ultimate goal of this contribution is to stress the need of a methodological integration between human and animal mobility analytical methods.
Settore INF/01 - Informatica
Association for Computing Machinery (ACM)
Special Interest Group on Spatial Information (SIGISPATIAL)
Book Part (author)
File in questo prodotto:
File Dimensione Formato  
source.pdf

accesso riservato

Tipologia: Publisher's version/PDF
Dimensione 1.29 MB
Formato Adobe PDF
1.29 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/885197
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact