Pregled bibliografske jedinice broj: 943479
Determination of origins and destinations for an O-D matrix based on telecommunication activity records
Determination of origins and destinations for an O-D matrix based on telecommunication activity records // 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Opatija, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2017. str. 424-427 doi:10.23919/mipro.2017.7973462 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 943479 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Determination of origins and destinations for an O-D matrix based on telecommunication activity records
Autori
Dešić, Saša ; Filić, Mia ; Filjar, Renato
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2017, 424-427
Skup
2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Mjesto i datum
Opatija, Hrvatska, 22.05.2017. - 26.05.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Origin-Destination Matrix, Tesselation, mobility, estimation
Sažetak
The origin-destination (O-D) matrix is a known indicator of individual and group mobility in transport science, an invaluable input for socio-economic activity assessment of the community, and a tool for strategic planning and policy developments. The abundance of mobility-related data allows for expansion of the ODM towards the description of the over-all socio-economic activity, of which the transport is just a component, thus rendering policy development and strategic planning more efficient. Determination of the sources (origins) and targets (destinations) of the socio-economic activities remains an unresolved point in the ODM estimation process. Here we present a novel method for activity spot (origins and destinations) identification from the anonymised records of telecommunications activity, and publicly available data on telecommunication network access points. Using the spatial tessellation algorithm, the origins and destinations can be effectively identified as the focal points of socio-economic activity, thus establishing the foundation for more efficient urban policy development and strategic planning.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Prirodoslovno-matematički fakultet, Matematički odjel, Zagreb,
Ericsson Nikola Tesla d.d.,
Prirodoslovno-matematički fakultet, Zagreb
