Open AccessApplication of Intelligent Transportation Systems in Analyses of Human Spatial Mobility in Cities
Author(s) -
Marta Borowska-Stefańska,
Michał Kowalski,
Paulina Kurzyk,
Miroslava Mikušová,
Szymon Wiśniewski
Publication year - 2021
Publication title -
prace komisji geografii komunikacji ptg
Language(s) - English
Resource type - Journals
eISSN - 2543-859X
pISSN - 1426-5915
DOI - 10.4467/2543859xpkg.21.001.14944
Subject(s) - computer science , exploit , data science , intelligent transportation system , interpretation (philosophy) , order (exchange) , big data , transport engineering , data mining , computer security , engineering , business , finance , programming language
This article contains results of studies on the applicability of data from Intelligent Transportation Systems (ITS) for the purposes of geographical studies regarding the spatial mobility of inhabitants within a big city. The article focuses on the option of applying two types of sub-systems – induction loops and automatic number-plate recognition (ANPR) – and includes examples of analyses based on the resulting data, which can serve as a basis for mobility studies. The area on the example of which the capabilities of application of ITS data have been presented is Lodz – a large city in central Poland. The conducted research shows that ITS systems offer an enormous potential in providing data for spatial mobility studies. In order to fully exploit its worth, however, it is imperative to expand the research procedure by including, for instance, the results of qualitative research. Also, the interpretation of results obtained on the basis of ITS data ought to be performed with an awareness of numerous significant preliminary and simplifying assumptions.