Mind the perception gap: Identifying differences in views among stakeholder groups of shared mobility services through bayesian best-worst method
This study investigates perception gaps among stakeholders—policy-makers, operators, users, and non-users—regarding car-sharing, bike-sharing, and scooter-sharing systems in Turin, Italy. Based on 628 surveys collected between November 2021 and February 2022 and analyzed using the Bayesian Best-Wors...
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| Language: | English |
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Elsevier
2025-06-01
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| Series: | Multimodal Transportation |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772586325000127 |
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| author | Ehsan Amirnazmiafshar Marco Diana |
| author_facet | Ehsan Amirnazmiafshar Marco Diana |
| author_sort | Ehsan Amirnazmiafshar |
| collection | DOAJ |
| description | This study investigates perception gaps among stakeholders—policy-makers, operators, users, and non-users—regarding car-sharing, bike-sharing, and scooter-sharing systems in Turin, Italy. Based on 628 surveys collected between November 2021 and February 2022 and analyzed using the Bayesian Best-Worst Method (BWM) multicriteria technique, it highlights key differences in prioritizing factors influencing shared mobility demand.Key Findings: For car-sharing, policy-makers overestimate the importance of trip purpose compared to both users and non-users, while undervaluing service availability. Operators undervalue trip-related factors, such as travel time and departure time, while overemphasizing user-friendliness. For bike-sharing, policy-makers overestimate travel time compared to users while undervaluing travel comfort and environmental friendliness compared to both users and non-users. Operators underestimate trip-related factors, including travel distance and trip purpose, while overemphasizing environmental friendliness, particularly compared to non-users. For scooter-sharing, policy-makers underestimate trip-related characteristics, such as travel time and departure time, while overestimating travel cost and user-friendliness compared to non-users. Operators undervalue travel comfort and service availability, while overestimating travel distance, especially compared to users.Managerial Insights: For car-sharing, policy-makers should expand service coverage and incentivize vehicle deployment, while operators should use dynamic fleet management and offer flexible booking options. For bike-sharing, policy-makers should subsidize fleet expansion and improve infrastructure, while operators should transition to free-floating models and integrate navigation tools. For scooter-sharing, policy-makers should enforce safety standards and improve accessibility, while operators should invest in high-quality scooters and adopt competitive pricing models.Bridging these perception gaps is essential for fostering shared mobility adoption and enhancing user satisfaction. |
| format | Article |
| id | doaj-art-0334d9b3d8ad42ac850723cfe0e976de |
| institution | Kabale University |
| issn | 2772-5863 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Multimodal Transportation |
| spelling | doaj-art-0334d9b3d8ad42ac850723cfe0e976de2025-01-29T05:02:46ZengElsevierMultimodal Transportation2772-58632025-06-0142100198Mind the perception gap: Identifying differences in views among stakeholder groups of shared mobility services through bayesian best-worst methodEhsan Amirnazmiafshar0Marco Diana1Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino 10129, Italy; Operations and Supply Chain Management, Management School, University of Liverpool, Liverpool L69 7ZH, UK; Corresponding author.Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino 10129, ItalyThis study investigates perception gaps among stakeholders—policy-makers, operators, users, and non-users—regarding car-sharing, bike-sharing, and scooter-sharing systems in Turin, Italy. Based on 628 surveys collected between November 2021 and February 2022 and analyzed using the Bayesian Best-Worst Method (BWM) multicriteria technique, it highlights key differences in prioritizing factors influencing shared mobility demand.Key Findings: For car-sharing, policy-makers overestimate the importance of trip purpose compared to both users and non-users, while undervaluing service availability. Operators undervalue trip-related factors, such as travel time and departure time, while overemphasizing user-friendliness. For bike-sharing, policy-makers overestimate travel time compared to users while undervaluing travel comfort and environmental friendliness compared to both users and non-users. Operators underestimate trip-related factors, including travel distance and trip purpose, while overemphasizing environmental friendliness, particularly compared to non-users. For scooter-sharing, policy-makers underestimate trip-related characteristics, such as travel time and departure time, while overestimating travel cost and user-friendliness compared to non-users. Operators undervalue travel comfort and service availability, while overestimating travel distance, especially compared to users.Managerial Insights: For car-sharing, policy-makers should expand service coverage and incentivize vehicle deployment, while operators should use dynamic fleet management and offer flexible booking options. For bike-sharing, policy-makers should subsidize fleet expansion and improve infrastructure, while operators should transition to free-floating models and integrate navigation tools. For scooter-sharing, policy-makers should enforce safety standards and improve accessibility, while operators should invest in high-quality scooters and adopt competitive pricing models.Bridging these perception gaps is essential for fostering shared mobility adoption and enhancing user satisfaction.http://www.sciencedirect.com/science/article/pii/S2772586325000127Bayesian best-worst methodStakeholder perceptionsMulti-criteria decision-makingShared mobility systemsMicromobility services |
| spellingShingle | Ehsan Amirnazmiafshar Marco Diana Mind the perception gap: Identifying differences in views among stakeholder groups of shared mobility services through bayesian best-worst method Multimodal Transportation Bayesian best-worst method Stakeholder perceptions Multi-criteria decision-making Shared mobility systems Micromobility services |
| title | Mind the perception gap: Identifying differences in views among stakeholder groups of shared mobility services through bayesian best-worst method |
| title_full | Mind the perception gap: Identifying differences in views among stakeholder groups of shared mobility services through bayesian best-worst method |
| title_fullStr | Mind the perception gap: Identifying differences in views among stakeholder groups of shared mobility services through bayesian best-worst method |
| title_full_unstemmed | Mind the perception gap: Identifying differences in views among stakeholder groups of shared mobility services through bayesian best-worst method |
| title_short | Mind the perception gap: Identifying differences in views among stakeholder groups of shared mobility services through bayesian best-worst method |
| title_sort | mind the perception gap identifying differences in views among stakeholder groups of shared mobility services through bayesian best worst method |
| topic | Bayesian best-worst method Stakeholder perceptions Multi-criteria decision-making Shared mobility systems Micromobility services |
| url | http://www.sciencedirect.com/science/article/pii/S2772586325000127 |
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