Modeling of Travel Behavior in Budapest: Leisure Travelers

People usually travel with different preferences to reach the location of their leisure activities, where transport mode is a decisive factor. Previous studies focus on developing discrete choice models for people where a trip purpose is considered as an explanatory variable. In this paper, discrete choice modeling is applied to model the behavior of leisure travelers, to understand the impact of several factors on the transport mode choice, such as sociodemographic variables. A sample of 1100 travelers from a household survey in Budapest is used in the analysis. The sample includes the daily activity plans of leisure travelers and their sociodemographic as well as economic characteristics. A Multinomial Logit (MNL) model is applied, where the data are examined across travel time variables and travel characteristics, such as travel time, travel cost, age, gender, income, and car ownership. The developed models are used to predict the probability of using the different transport modes based on the characteristics of the travelers and their trips. The model indicates that time and the cost impact travel negatively. While other variables show varied impacts on the transport mode selection. The output of this study is important for decision-makers to understand the patterns of leisure tips in a city.

• Record URL:
  https://doi.org/10.1016/j.trpro.2022.02.039
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2352146522001661
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2022 Ali Mahdi, et al. Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
• Authors:
  • Mahdi, Ali
  • Hamadneh, Jamil
  • Esztergár-Kiss, Domokos
• Conference:
  • 24th EURO Working Group on Transportation Meeting, EWGT 2021
  • Location: Aveiro , Portugal
  • Date: 2021-9-8 to 2021-9-10
• Publication Date: 2022

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 310-317
• Serial:
  • Transportation Research Procedia
  • Volume: 62
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Demographics; Discrete element method; Leisure time; Multinomial logits; Tourists; Travel behavior
• Geographic Terms: Budapest (Hungary)
• Subject Areas: Aviation; Highways; Marine Transportation; Passenger Transportation; Planning and Forecasting; Public Transportation; Railroads; Society;

Filing Info

• Accession Number: 01842369
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 13 2022 9:37AM