Analysis of the factors affecting the time spent on leisure activities by using an ordered logit model

AJ Mahdi, D Esztergár-Kiss - Transportation Letters, 2023 - Taylor & Francis
The objective of the current study is to analyze the time spent on leisure activities in
Budapest, considering five influencing factors. Data were collected from Google Popular …

Modeling the time spent at points of interest based on google popular times

A Mahdi, T Tettamanti, D Esztergár-Kiss - IEEE Access, 2023 - ieeexplore.ieee.org
Location-based applications are increasingly popular as smartphones with navigation
capabilities are becoming more prevalent. Analyzing the time spent by visitors at Points of …

Robust linear regression-based gis technique for modeling the processing time at tourism destinations

A Mahdi, D Esztergár-Kiss - International Conference on Human …, 2022 - Springer
Tourist attractions are dispersed across wide geographic areas even within the cities making
the data collection prohibitively expensive. For these reasons, information on tourism …

Modeling of travel behavior in Budapest: Leisure travelers

A Mahdi, J Hamadneh, D Esztergár-Kiss - Transportation Research …, 2022 - Elsevier
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 …

[PDF][PDF] Mobility Big Data-Based Movement Patterns and Inducement Factors Analysis

MC Bae, SY Lee, HS Joo - 국토계획, 2023 - kpaj.or.kr
This study is intended to analyze the factors that make destinations attractive to leisure
travelers, differentiating between weekdays and weekends, so as to identify their distinct …

Understanding the tourists' Spatio-Temporal behavior using open GPS trajectory data: a case study of yuanmingyuan park (Beijing, China)

Q Yao, Y Shi, H Li, J Wen, J Xi, Q Wang - Sustainability, 2020 - mdpi.com
The visit paths, dwell time, and taking pictures are all variables of great significance to our
understanding of tourists' spatio-temporal behavior. Does having a large number of visitors …

Tourism geography through the lens of time use: A computational framework using fine-grained mobile phone data

Y Xu, J Li, J Xue, S Park, Q Li - Annals of the American Association …, 2021 - Taylor & Francis
Location-aware technologies and big data are transforming the ways we capture and
analyze human activities. This has particularly affected tourism geography, which aims to …

Segmenting tourists by length of stay using regression tree models

M Jackman, S Naitram - Journal of Hospitality and Tourism Insights, 2023 - emerald.com
Purpose This study analyses how the socio-demographic profile of the tourist, trip-related
characteristics, distance, and economic conditions in the source country affect pleasure …

Destination and activity estimation

A Ali, S Lee - Public Transport Planning with Smart Card Data, 2017 - pure.uos.ac.kr
Household travel surveys contain, besides travel information, sociodemographic information
which plays an important role in analyzing travel dynamics. Disadvantages of such surveys …

Spatiotemporal distribution of urban walking tourists by season using GPS-based smartphone application

HJ Yun, DJ Kang, MJ Lee - Asia Pacific Journal of Tourism …, 2018 - Taylor & Francis
The purpose of this study is to determine urban walking tourists' spatiotemporal distribution
by season. With the Bukchon Hanok Village in Seoul, South Korea, as a study site, a GPS …