Involving people in the building up of smart and sustainable cities: How to influence commuters’ behaviors through a mobile app game

Dio, Salvatore Di; Gennusa, Maria La; Peri, Giorgia; Rizzo, Gianfranco; Vinci, Ignazio Marcello

doi:10.1016/j.scs.2018.07.021

Cited by 46 publications

(8 citation statements)

References 47 publications

(26 reference statements)

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“…However, "hard" interventions alone, such as increased cost of cars through taxation and improving public transport system infrastructures, are not entirely effective in encouraging people to adopt sustainable behaviours (Stopher, 2004). City authorities, recognising this, actively consider implementing "soft" interventions, such as through the help of smart applications (Vinci & Dio, 2014), to reduce car usage by encouraging a shift towards sustainable transport modes (Di Dio et al, 2018;Gärling & Fujii, 2009;Sottile et al, 2020).…”

Section: "Digital Social Influence" For Sustainable Livingmentioning

confidence: 99%

Using digital social market applications to incentivise active travel: Empirical analysis of a smart city initiative

Manca

Daina

Sivakumar

et al. 2022

Sustainable Cities and Society

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Smart technology, such as mobile communication networks, and behaviour-based approaches to promote citizens' engagement, both play a key role in making future living sustainable and tackling the persisting urban problems in cities and densely populated urban areas. In the context of Sharing Cities, a programme that aims to deliver smart cities solutions in Europe, one of the prominent interventions in the city of Milan (Italy) has been the deployment and monitoring of a Digital Social Market (DSM) tool, a smartphone app through which cities can 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 participants' 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-active travel events) is positively correlated with the monitored level of active travel. Furthermore, lifestyles, attitudes, behavioural controls, and social influence also significantly explain the variability in cycling or walking as measured by the app.

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Section: "Digital Social Influence" For Sustainable Livingmentioning

confidence: 99%

Using digital social market applications to incentivise active travel: Empirical analysis of a smart city initiative

Manca

Daina

Sivakumar

et al. 2022

Sustainable Cities and Society

View full text Add to dashboard Cite

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“…Large-scale industrialization activities require the consumption of a large number of fossil fuels, resulting in a large number of cumulative emissions of carbon dioxide [ 30 ]. The global accumulation of large amounts of carbon dioxide emissions will cause the concentration of greenhouse gases in the Earth's atmosphere to increase rapidly and significantly, eventually causing a series of environmental problems such as global warming and rising sea levels [ 31 , 32 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Is Resilient Transportation Infrastructure Low-Carbon? Evidence from High-Speed Railway Projects in China

Wang

Chen

et al. 2022

Computational Intelligence and Neuroscience

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Establishing resilient transport infrastructure is an effective way for cities to deal with external disturbances and uncertainties during rapid urbanization. However, human society is presently facing a series of sustainable development obstacles, where the energy shortage and environmental pollution are catching significant concerns. Hence, it is imperative to investigate the carbon emission of the growing number of resilient transportation infrastructure (RTI) projects. Through extracting the carbon emission factor (CEF), this study built the carbon emission measurement model (CEMM) to evaluate the carbon emission of 26 resilient high-speed railway construction projects in China. The results indicated that the carbon emissions of the entire high-speed railway infrastructure projects in China show regional and social environmental differences. Meanwhile, there are potential correlations and positive relationships between the resilience of the high-speed railway infrastructure projects and their carbon emission. Suggestions and recommendations for governments and construction enterprises are put forward to further improve the resilient and low-carbon development of transportation infrastructure in China.

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“…The key technologies of the digital city include soft infrastructure and hard infrastructure. (1) Soft infrastructure consists of people observation systems (POS), ICT and cloud infrastructure [74][75][76], professional processing systems [54,57,58,77,78], and others. People observation systems (i.e., closed circuit television; mobile phones; wearable devices like wristbands, glasses, helmets; eye-catching, ubiquitous approaches; etc.)…”

Section: Technical Frameworkmentioning

confidence: 99%

People-Centric Service Intelligence for Smart Cities

Hong

Geng

2019

Smart Cities

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In the era of big data, smart cities have become a promising prospect for governments, citizens, and industrials. Many ideas and their derived systems for smart cities depend on big data for achieving a goal of data intelligence. However, there is an urgent transformation trend from data intelligence to service intelligence in the vision of smart cities due to the living requirements of citizens. People-centric service intelligence in smart cities has to support the realization of people’s needs within urban and social domains. This paper introduces a concept of people-centric service intelligence, defines the level of it and its challenges in the aspect of infrastructure, human dynamics, human understanding and prediction, and the human–machine interface. Then, this paper proposes the theoretical framework and technical frameworks of people-centric service intelligence, and the service intelligence schemas for future construction of smart cities. It will be helpful for governments and industries to design people-centric service intelligence for improving the quality of life, the capabilities of good sustainability, and better development.

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Involving people in the building up of smart and sustainable cities: How to influence commuters’ behaviors through a mobile app game

Cited by 46 publications

References 47 publications

Using digital social market applications to incentivise active travel: Empirical analysis of a smart city initiative

Using digital social market applications to incentivise active travel: Empirical analysis of a smart city initiative

Is Resilient Transportation Infrastructure Low-Carbon? Evidence from High-Speed Railway Projects in China

People-Centric Service Intelligence for Smart Cities

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