Version 1
: Received: 11 September 2023 / Approved: 12 September 2023 / Online: 13 September 2023 (16:09:05 CEST)
How to cite:
Jaber, A.; Hamadneh, J. Demographic Analysis of Active Travel Users in Urban Context. Preprints2023, 2023090811. https://doi.org/10.20944/preprints202309.0811.v1
Jaber, A.; Hamadneh, J. Demographic Analysis of Active Travel Users in Urban Context. Preprints 2023, 2023090811. https://doi.org/10.20944/preprints202309.0811.v1
Jaber, A.; Hamadneh, J. Demographic Analysis of Active Travel Users in Urban Context. Preprints2023, 2023090811. https://doi.org/10.20944/preprints202309.0811.v1
APA Style
Jaber, A., & Hamadneh, J. (2023). Demographic Analysis of Active Travel Users in Urban Context. Preprints. https://doi.org/10.20944/preprints202309.0811.v1
Chicago/Turabian Style
Jaber, A. and Jamil Hamadneh. 2023 "Demographic Analysis of Active Travel Users in Urban Context" Preprints. https://doi.org/10.20944/preprints202309.0811.v1
Abstract
Active transportation, such as walking, cycling, and micro-mobility modes, has received a lot of attention in recent years due to its potential benefits to urban residents, such as less traffic, better air quality, more opportunities to get exercise, and an overall higher quality of life. In this study, we used Classification and Regression Trees (CART) to compare and contrast three mobility options: shared micro-mobility, individual micro-mobility, and walking. We surveyed 219 people living in Budapest, Hungary, to learn more about their travel habits and investigate the demographic elements that influence people's mode choice, such as age, gender, ownership of micro-mobility modes, education, job, and income. Results showed that ownership of personal micro-mobility modes, and age as important predictors of active travel mode choice. Males seem to prioritize cost and weather conditions when choosing shared micromobility modes, while females value safety and weather conditions. Our findings can guide policy decisions and urban planning initiatives by identifying the most significant predictors of mode choice and evaluating the possible benefits and drawbacks of each mode.
Keywords
Active travel; mode choice; micro-mobility; shared mobility; walking
Subject
Engineering, Transportation Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
