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:2022:10.1016/j.scs.2021.103595,
author = {Manca, F and Daina, N and Sivakumar, A and Xin, Yi JW and Zavitsas, K and Gemini, G and Vegetti, I and Dargan, L and Marchet, F},
doi = {10.1016/j.scs.2021.103595},
journal = {Sustainable Cities and Society},
title = {Using digital social market applications to incentivise active travel: Empirical analysis of a smart city initiative},
url = {http://dx.doi.org/10.1016/j.scs.2021.103595},
volume = {77},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Information and communication technologies (ICTs), such as mobile communication networks, and behaviour-based approaches for citizen engagement play a key role in making future cities sustainable and tackling persistent problems in high-density urban areas. In the context of Sharing Cities, an EU-funded programme aiming to deliver smart city solutions in areas such as citizen participation and infrastructure improvements of buildings and mobility, a prominent intervention has been the deployment and monitoring of a Digital Social Market (DSM) tool in Milan (Italy). The DSM allows cities to engage with residents and encourage sustainable behaviours by offering non-monetary rewards. This paper aims to evaluate the effectiveness of the DSM approach to promote active travel (cycling and walking) by analysing the data collected through the app as well as through participant surveys. Our model results show that a broader engagement with the DSM app (number of claps to posts, number of posts made, non-monetary rewards earned by participating in non-travel events) is positively correlated with the monitored level of active travel. Lifestyles, attitudes, and social influence also explain the variability in cycling and walking. This highlights the importance of investigating these factors when replicating such initiatives on a large scale.
AU  - Manca,F
AU  - Daina,N
AU  - Sivakumar,A
AU  - Xin,Yi JW
AU  - Zavitsas,K
AU  - Gemini,G
AU  - Vegetti,I
AU  - Dargan,L
AU  - Marchet,F
DO  - 10.1016/j.scs.2021.103595
PY  - 2022///
SN  - 2210-6707
TI  - Using digital social market applications to incentivise active travel: Empirical analysis of a smart city initiative
T2  - Sustainable Cities and Society
UR  - http://dx.doi.org/10.1016/j.scs.2021.103595
UR  - http://hdl.handle.net/10044/1/93209
VL  - 77
ER  -
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