AqVision: A Tool for Air Quality Data Visualisation and Pollution-Free Route Tracking for Smart City

Forkan, Abdur Rahim Mohammad; Kimm, Geoff; Morshed, Ahsan; Jayaraman, Prem Prakash; Banerjee, Abhik; Huang, Weidong

doi:10.1109/iv-2.2019.00018

Cited by 8 publications

(4 citation statements)

References 13 publications

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“…For other urban environments, depending on the priorities, the costs would be expected to be comparable to the ones identified here, even though the benefits might vary considerably. Still, considering smart cities' agenda is to increase the quality of life of its citizens, the list of future services is likely to include functionalities that contribute to the health and well-being agenda (Trencher and Karvonen, 2017;Forkan et al, 2019), as was the case in this particular study.…”

Section: Discussionmentioning

confidence: 96%

End-User Approach to Evaluating Costs and Benefits of Smart City Applications

Jadrić

Mijač

Ćukušić

2022

International Journal of E-Services and Mobile Applications

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As a part of an ongoing series of studies in the smart city domain from the perspective of end-users, the paper presents the results of an exploratory survey based on the cost-benefit analysis of different smart city solutions from users' point of view. Starting from a list of benefits and costs for four selected smart city applications (smart parking, water quality monitoring, air quality monitoring, and real-time traffic monitoring) that was generated by a young demographic of (future and current) users, a survey was organised to classify, reduce and evaluate the initial set of items. The respondents rated the identified potential benefits and costs of using the applications as a part of an integrated smart city solution. The results of a multivariate analysis based on the feedback from over 200 participants are presented in the paper. The main factors of identified perceived costs and benefits are indicated, and the link with the intention to use an integrated smart city application is reviewed.

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Section: Discussionmentioning

confidence: 96%

End-User Approach to Evaluating Costs and Benefits of Smart City Applications

Jadrić

Mijač

Ćukušić

2022

International Journal of E-Services and Mobile Applications

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“…-Once adopting this workflow, the program might use the data visualization library to generate the intended graphic representation. Another example of prescriptive studies concern the correlation between air pollution and respiratory illnesses [19]. The research findings come from data belonging to different domains such as 1) prescriptive data conditions in health information systems, 2) the air quality index (AQI) data provided by the World Health Organization (WHO), and 3) the descriptive data coming from particular air pollution electrical sensors.…”

Section: Prescriptive Case Studiesmentioning

confidence: 99%

An Interdisciplinary Model for Graphical Representation

Pierro

Bergel

Tonelli

et al. 2021

Lecture Notes in Computer Science

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The paper questions whether data-driven and problem-driven models are sufficient for a software to automatically represent a meaningful graphical representation of scientific findings. The paper presents descriptive and prescriptive case studies to understand the benefits and the shortcomings of existing models that aim to provide graphical representations of data-sets. First, the paper considers data-sets coming from the field of software metrics and shows that existing models can provide the expected outcomes for descriptive scientific studies. Second, the paper presents data-sets coming from the field of human mobility and sustainable development, and shows that a more comprehensive model is needed in the case of prescriptive scientific fields requiring interdisciplinary research. Finally, an interdisciplinary problem-driven model is proposed to guide the software users, and specifically scientists, to produce meaningful graphical representation of research findings. The proposal is indeed based not only on a data-driven and/or problem-driven model but also on the different knowledge domains and scientific aims of the experts, who can provide the information needed for a higher-order structure of the data, supporting the graphical representation output.

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“…Studies have reviewed the I4.0 technologies used in manufacturing [1] and provided frameworks to help companies assess their I4.0 maturity [11][12][13], a significant step to help them understand the requirements to adopt technologies for digitalisation. There are also several recent case studies in the literature on manufacturing digitalisation [14][15][16][17][18][19]. However, these describe tailor-made solutions that rely on high technical expertise in computer science and programming.…”

Section: Introductionmentioning

confidence: 99%

Implementing a Design Thinking Approach to De-Risk the Digitalisation of Manufacturing SMEs

et al. 2022

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Industry 4.0 (I4.0) has proposed a significant shift in the way companies approach manufacturing. However, this new paradigm is not without faults. The integration of processes and equipment (‘digitalisation’) can be prohibitively expensive or too technically complex for small-to-medium enterprises (SMEs) with limited resources and technical expertise. Another barrier to digitalisation lies in the ambiguity of not knowing what precise practices to adopt to improve productivity. Although these challenges have been identified in the literature, there is still little evidence on how to tackle them. Thus, we explore how design thinking can help overcome these challenges, given that it has been used in many organisations and disciplines to deal with complex and ambiguous problems. We do so by investigating the research question ‘How can designers and design thinking processes assist manufacturing SMEs’ digitalisation?’ We address this research question by presenting a case study of a university–industry collaboration where the authors utilised a design-thinking process to select and implement technologies to capture, process and analyse data for an Australian medical device manufacturer. By reflecting on the case study, we identified the user-centeredness of design thinking as crucial in selecting technologies for implementation that prioritised usability and brought value to all stakeholders. Furthermore, iterative prototyping was critical to scale up the required expertise and deliver a successful sustainable solution without investing vast resources. Our work suggests that designers and design thinking have the potential to help de-risk digitalisation. Finally, we suggest a framework that may assist in guiding other SMEs approaching digitalisation and provide a starting point for further design thinking research in this area.

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AqVision: A Tool for Air Quality Data Visualisation and Pollution-Free Route Tracking for Smart City

Cited by 8 publications

References 13 publications

End-User Approach to Evaluating Costs and Benefits of Smart City Applications

End-User Approach to Evaluating Costs and Benefits of Smart City Applications

An Interdisciplinary Model for Graphical Representation

Implementing a Design Thinking Approach to De-Risk the Digitalisation of Manufacturing SMEs

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