Imperial College London
Alternate

DrArunaSivakumar

Faculty of Engineering, Department of Civil and Environmental Engineering

Reader in Consumer Demand Modelling And Urban Systems
 
 
 
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Contact

 

+44 (0)20 7594 6036a.sivakumar Website

 
 
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Location

 

604Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Manca:2019:10.1016/j.trc.2019.02.010,
author = {Manca, F and Sivakumar, A and Polak, J},
doi = {10.1016/j.trc.2019.02.010},
journal = {Transportation Research Part C: Emerging Technologies},
pages = {611--625},
title = {The effect of social influence and social interactions on the adoption of a new technology: The use of bike sharing in a student population},
url = {http://dx.doi.org/10.1016/j.trc.2019.02.010},
volume = {105},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The present study investigates how social influence and social interactions can affect the adoption of new technologies, using stated preference (SP) survey data combined with an “accelerated reality” experience of social interaction among the respondents. Specifically, the intention to use a pro-environmental transport mode (the bike sharing) during a public transport strike within a cohort of students has been analysed. Previous studies have modelled social influence effects using SP data by providing a hypothetical scenario with simulated interactions or information about social conformity processes (i.e. social adoption) during the survey. In our paper, in addition to the impact of assumed social norms, the effect of live/real social interactions is included in the survey. SP survey is developed to investigate the effect of Level-of-Service attributes on the hypothetical choices in the scenario of a public transport strike. Besides the pre-defined attributes characterising the alternatives in the SP design, the survey includes techniques to acquire information on conformity and social interactions. Specifically, the interviewees undertake a before and after stated preference experiment (SP1 and SP2), with a period of group discussion in between the two parts. This SP experiment involves different cognitive and interpersonal mechanisms, such as the functional information exchange on benefits and drawbacks of cycling and bike sharing. The aim is to establish whether hypothetical scenarios of social conformity are different from real/live social interactions and whether these social influence processes actually affect the individuals' mode choice. A joint SP1/SP2 mixed logit (ML) model has been estimated to explore the choice behaviour of individuals and allows us to incorporate the inertia/propensity to change behaviour between SP1 and SP2. Moreover, considering the “Reflexive Layers of Influence” (RLI) framework, the processes generated by
AU  - Manca,F
AU  - Sivakumar,A
AU  - Polak,J
DO  - 10.1016/j.trc.2019.02.010
EP  - 625
PY  - 2019///
SN  - 0968-090X
SP  - 611
TI  - The effect of social influence and social interactions on the adoption of a new technology: The use of bike sharing in a student population
T2  - Transportation Research Part C: Emerging Technologies
UR  - http://dx.doi.org/10.1016/j.trc.2019.02.010
UR  - http://hdl.handle.net/10044/1/66548
VL  - 105
ER  -
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