Vol. 15 No. 4 (2024):
Research Article

A Survey to Capture the Mobility Behavior of Residents in the Republic of Cyprus

Philip Fayad
Cyprus University of Technology, Department of Civil Engineering and Geomatics, Limassol, Cyprus
Bio
Phaedon Kyriakidis
Cyprus University of Technology, Department of Civil Engineering and Geomatics, Limassol, Cyprus
Bio
Constantinos Tsioutis
European University of Cyprus, School of Medicine, Nicosia, Cyprus
Bio
Dimitris Kavroudakis
University of the Aegean, Department of Geography, Mytilene, Greece
Bio
The spatial distribution of the participants closely approximates the population distribution (2019 country census) across the five districts of Cyprus (excluding Turkish-occupied areas). Pie charts illustrate the participation rates by age group

Published 2024-12-18

Keywords

  • survey,
  • mobility behavior,
  • urban mobility patterns,
  • spatiotemporal transportation,
  • Cyprus

How to Cite

Fayad, Philip, Phaedon Kyriakidis, Constantinos Tsioutis, and Dimitris Kavroudakis. 2024. “A Survey to Capture the Mobility Behavior of Residents in the Republic of Cyprus”. European Journal of Geography 15 (4):305-18. https://doi.org/10.48088/ejg.p.fay.15.4.305.318.
Received 2024-08-06
Accepted 2024-12-18
Published 2024-12-18

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.

Highlights:

  • 787 individuals responded to the online questionnaire.
  • Human mobility timelines are extracted, depicting the typical location and activity of individuals every two hours during workdays, as well as during weekends.
  • Across all age groups, people generally tend to travel short distances up to around 10 kilometers.
  • Car usage is the predominant mode of transportation across all categories. Walking is the second most preferred mode and bus rides rank third.

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