Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/34018
Title: | A Survey to Capture the Mobility Behavior of Residents in the Republic of Cyprus |
Authors: | Fayad, Philip Kyriakidis, Phaedon Tsioutis, Constantinos Kavroudakis, Dimitris |
Major Field of Science: | Social Sciences |
Field Category: | Other Social Sciences |
Keywords: | survey;mobility behavior;urban mobility patterns;spatiotemporal transportation;Cyprus |
Issue Date: | 18-Dec-2024 |
Source: | European Journal of Geography, 2024, vol. 15, iss. 4 |
Volume: | 15 |
Issue: | 4 |
Journal: | European Journal of Geography |
Abstract: | In today's highly mobile world, people of all age groups constantly move between various locations, such as their homes, grocery stores, schools, and workplaces, reflecting the dynamic nature of modern society. The recent COVID-19 pandemic has underscored the profound impact of human mobility on the rapid spread of the virus within and between urban areas. The current study investigates the daily mobility behaviors of residents of the Republic of Cyprus. Through a comprehensive survey, the research documents travel patterns, commuting habits, and transportation preferences across various age groups and districts of Cyprus. With a total of 787 responses from all districts of Cyprus, data was collected through an online survey from 20/11/2023 to 20/02/2024. Data analysis includes descriptive methods and statistical modeling techniques in order to provide insights into the patterns of human mobility. Key findings include insights into travel distances, frequencies, duration and means of transportation, and timelines of mobility activities during typical workdays, as well as during weekends. |
URI: | https://hdl.handle.net/20.500.14279/34018 |
ISSN: | 17921341 24107433 |
DOI: | 10.48088/ejg.p.fay.15.4.305.318 |
Type: | Article |
Affiliation : | Cyprus University of Technology European University Cyprus University of Aegean |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Size | Format | |
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fayad_EJG_2024.pdf | 1.72 MB | Adobe PDF | View/Open |
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