Impact of Big Five Personality Traits on Behavioral Intention to Participate in Smart Shared Parking

• Investigates personality traits affecting intention to participate in shared parking • Extends Theory of Planned Behavior with Big Five personality traits • Compares psychological mechanisms underlying usage and provision intentions • Reveals asymmetric personality impacts between user and provider participation • Offers role-specific policy insights for balanced shared parking activation The rapid growth of peer-to-peer sharing economy services has given rise to the concept of prosumers, individuals participating as both service users and providers. Shared parking service is a representative application in the transportation field. However, there remains limited understanding of prosumers' behavioral intention toward shared parking in the literature. This study aims to fill the research gap by investigating behavioral participation intention toward shared parking services. This study conducted a comprehensive survey in the Seoul metropolitan area, a city actively pursuing smart city initiatives, where shared parking services are being implemented. To capture the psychological determinants of participation, an extended Theory of Planned Behavior framework integrating the Big Five personality model was developed and empirically tested using Structural Equation Modeling. Our results reveal that distinct personality traits influence behavioral intentions to use and provide. These findings emphasize the role-specific personality mechanisms underlying shared parking participation and suggest that distinct, trait-aligned strategies are required to stimulate both demand-side adoption and supply-side provision within shared parking services.

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Publication Details

Journal
KSCE Journal of Civil Engineering
Published
2026-04-01
DOI
https://doi.org/10.1016/j.kscej.2026.100594
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Impact of Big Five Personality Traits on Behavioral Intention to Participate in Smart Shared Parking

Doosun Hong
KSCE Journal of Civil Engineering
Smart Parking Systems Research
article

Impact of Big Five Personality Traits on Behavioral Intention to Participate in Smart Shared Parking

Doosun Hong
article en

Abstract

• Investigates personality traits affecting intention to participate in shared parking • Extends Theory of Planned Behavior with Big Five personality traits • Compares psychological mechanisms underlying usage and provision intentions • Reveals asymmetric personality impacts between user and provider participation • Offers role-specific policy insights for balanced shared parking activation The rapid growth of peer-to-peer sharing economy services has given rise to the concept of prosumers, individuals participating as both service users and providers. Shared parking service is a representative application in the transportation field. However, there remains limited understanding of prosumers' behavioral intention toward shared parking in the literature. This study aims to fill the research gap by investigating behavioral participation intention toward shared parking services. This study conducted a comprehensive survey in the Seoul metropolitan area, a city actively pursuing smart city initiatives, where shared parking services are being implemented. To capture the psychological determinants of participation, an extended Theory of Planned Behavior framework integrating the Big Five personality model was developed and empirically tested using Structural Equation Modeling. Our results reveal that distinct personality traits influence behavioral intentions to use and provide. These findings emphasize the role-specific personality mechanisms underlying shared parking participation and suggest that distinct, trait-aligned strategies are required to stimulate both demand-side adoption and supply-side provision within shared parking services.

KSCE Journal of Civil Engineering
Hong Kong Polytechnic University (HK)
Sustainable cities and communities
Openalex Percentile: Top 26%
Smart Parking Systems Research
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