International Conference Towards a Humane City

Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut ero labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco.

GUIDE FOR AUTHORS SUBMIT MANUSCRIPT
Vol. 8 (2021): Proceedings of the 8th International Conference Towards a Humane City, 2021
Original Research Article

Application of a Logit Model in Public Tranpsort Modelling – Case Study of City Velika Gorica

Julijan Jurak
https://orcid.org/0009-0003-0607-000X (unauthenticated) Faculty of Transport and Traffic Sciences, Vukelićeva street 4, City of Zagreb
Matija Sikirić
https://orcid.org/0000-0003-4391-0509 (unauthenticated) Faculty of Transport and Traffic Sciences, Vukelićeva street 4, City of Zagreb
Ljupko Šimunović Faculty of Transport and Traffic Sciences, Vukelićeva street 4, City of Zagreb
Marko Slavulj Faculty of Transport and Traffic Sciences, Vukelićeva street 4, City of Zagreb

DOI

Published 2021-11-02

Keywords

  • Trips,
  • statistic method,
  • similar geographic characteristics,
  • socio demographic characteristics

Abstract

Transport modelling represent one of tools that help various researchers and engineers in the field of transport planning and engineering. Using transport modelling can help to detect the number and characteristics of trips for specific area or regions. Trips can be separated regarding to transport mode (e.g., car, bicycle, public transport, walking, etc.). Public transport has shown numerous benefits comparing to private cars. Determine real and possible number of trips of every transport mode are achieved by using logit model. Logit model is mostly used statistic method for detecting modal split in transport modelling. Data collected by survey conducted in the City of Velika Gorica will be used to calculate logit model of trips. Trips will be separated between public transport and private cars. Goal of paper is creating a logit model that can be used as an initial model in other cities that have similar geographic and socio demographic characteristics.