Processing of passenger data for zone estimation

Abstract

Information society: we call often so our society. It means we are collecting day by day lot of data. On the other
hand we need lot of information. How can we transform data into information? One way is the data mining and
data processing. In this paper we show our previous and latest results and their comparison in the field of public
transport. We introduce a method to discover information among the data of public transport usage (boarding
and alighting). We describe how it is possible to find the connection between planning zones and raw data of
boarding and alighting. The method shown in this paper is the example that the data of a possible e-ticketing
system inherits much more information than we can image.
The paper shows previous calculation results in a city with 130 thousand inhabitants, the new result in a city with
40 thousand inhabitants and the comparison and conclusions of the results of these two different cities.

Original document

The different versions of the original document can be found in:

• https://zenodo.org/record/1451348 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

• https://zenodo.org/record/1451348,

http://dx.doi.org/10.5281/zenodo.1451347 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

• https://zenodo.org/record/1451348,

http://dx.doi.org/10.5281/zenodo.1451348 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

DOIS: 10.5281/zenodo.1451347 10.5281/zenodo.1451348