The Classification of Application Users Supporting and Facilitating Travel Mobility Using Two-Step Cluster Analysis

Jaroslav Mašek, Vladimíra Štefancová (), Jaroslav Mazanec and Petra Juránková
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Jaroslav Mašek: Department of Railway Transport, Faculty of Operation and Economics of Transport and Communications, University of Zilina, Univerzitna 1, 01026 Zilina, Slovakia
Vladimíra Štefancová: Department of Railway Transport, Faculty of Operation and Economics of Transport and Communications, University of Zilina, Univerzitna 1, 01026 Zilina, Slovakia
Jaroslav Mazanec: Department of Quantitative Methods and Economic Informatics, Faculty of Operation and Economics of Transport and Communications, University of Zilina, Univerzitna 1, 01026 Zilina, Slovakia
Petra Juránková: OLTIS Group a. s., Dr. Milady Horákové 1200/27a, 779 00 Olomouc, Czech Republic

Mathematics, 2023, vol. 11, issue 9, 1-16

Abstract: There is a significant and supported trend toward the achievement of ensuring continuous door-to-door travel in the pan-European transport network. Many innovative programs are dedicated to this topic through assigned projects. This paper is based on the concrete partial results of the H2020 project Shift2Rail IP4 to support the deployment of mobility as a service (IP4MaaS). Attitudes towards travel for demonstration sites were assessed based on the outputs of a sample of respondents from two countries. Cooperation in working on the IP4MaaS project was also provided by a partner from Slovakia (UNIZA) and the Czech Republic (OLTIS). Mathematical statistical tools were used to evaluate the available data to find a connection with promoting mobility as a service. This paper aims to identify differences in travelers’ needs with a focus on using applications using two-step cluster analysis. The research resulted in the identification of differences in traffic behavior within MaaS activities when comparing different clusters reflecting preferences for using a website or mobile application.

Keywords: mobility; cluster analysis; MaaS activities; H2020 (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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