Understanding car-sharing by integrating long-, medium- and short-term cognitions

• We integrate short- (attitudes, norms), medium- (goals), and long-term cognitions (values) to explain car-sharing. • We extract “environmental consciousness” and the desire for “luxury” as goals relevant to car-sharing. • Values underlie both short and medium-term cognitions and are thus central to car-sharing. • Goals influence both intentions and actual car-sharing behaviour. • Car-sharing results from a complex web of long-term, medium-term, and short-term cognitions. Examinations into the psychological drivers of car-sharing have to date focused on short-term cognitions such as attitudes, norms, and intentions. In this paper, we integrate such short-term cognitions with medium-term cognitions (e.g., goals) and long-term cognitions (e.g., values), thereby providing a more comprehensive understanding of the psychological drivers of car-sharing. We surveyed a broadly representative sample of the UK population (N = 1,294) and found that values underlie medium-term cognitions (e.g., goals) and short-term cognitions, thereby ultimately influencing car-sharing intentions and behaviour. Moreover, our results show that environmental consciousness and the desire for luxury are important yet opposing goals that affect both intentions to engage in car-sharing and to actually use car-sharing. Overall, we demonstrate that car-sharing may be more complex than previously anticipated and should be understood as a behaviour that results from a complex web of long-, medium-, and short-term cognitions. We discuss practical and theoretical implications.

Authors

Institutions

Publication Details

Journal
Transportation Research Part F Traffic Psychology and Behaviour
Published
2024-10-31
DOI
https://doi.org/10.1016/j.trf.2024.10.020
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding car-sharing by integrating long-, medium- and short-term cognitions

Hemant Sharma, Christian Bretter, Kate Pangbourne
Transportation Research Part F Traffic Psychology and Behaviour
Transportation and Mobility Innovations
article

Understanding car-sharing by integrating long-, medium- and short-term cognitions

Hemant Sharma, Christian Bretter, Kate Pangbourne
article en

Abstract

• We integrate short- (attitudes, norms), medium- (goals), and long-term cognitions (values) to explain car-sharing. • We extract “environmental consciousness” and the desire for “luxury” as goals relevant to car-sharing. • Values underlie both short and medium-term cognitions and are thus central to car-sharing. • Goals influence both intentions and actual car-sharing behaviour. • Car-sharing results from a complex web of long-term, medium-term, and short-term cognitions. Examinations into the psychological drivers of car-sharing have to date focused on short-term cognitions such as attitudes, norms, and intentions. In this paper, we integrate such short-term cognitions with medium-term cognitions (e.g., goals) and long-term cognitions (e.g., values), thereby providing a more comprehensive understanding of the psychological drivers of car-sharing. We surveyed a broadly representative sample of the UK population (N = 1,294) and found that values underlie medium-term cognitions (e.g., goals) and short-term cognitions, thereby ultimately influencing car-sharing intentions and behaviour. Moreover, our results show that environmental consciousness and the desire for luxury are important yet opposing goals that affect both intentions to engage in car-sharing and to actually use car-sharing. Overall, we demonstrate that car-sharing may be more complex than previously anticipated and should be understood as a behaviour that results from a complex web of long-, medium-, and short-term cognitions. We discuss practical and theoretical implications.

Transportation Research Part F Traffic Psychology and BehaviourVol. 107
University of Leeds (GB), Queensland University of Technology (AU), The University of Queensland (AU)
Openalex Percentile: Top 80%
Transportation and Mobility Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Understanding car-sharing by integrating long-, medium- and short-term cognitions — Hemant Sharma, Christian Bretter, et al. · Transportation Research Part F Traffic Psychology and Behaviour (2024) | TGRS Research Map | TGRS