Stakeholder analysis for designing an urban air quality data governance ecosystem in smart cities

Kaginalkar, Akshara; Kumar, Shashi Bhushan; Gargava, Prashant; Niyogi, Dev

doi:10.1016/j.uclim.2022.101403

Cited by 14 publications

(6 citation statements)

References 30 publications

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“…Finally, in the environmental scope, there are three proposed indicators: Air, Energy and Public Facilities. Air indicators relate to air purity and its implications in urban environments [78]. This includes pollution, emissions, environmental contamination, and waste management [79].…”

Section: Discussionmentioning

confidence: 99%

An Assessment Model for Sustainable Cities Using Crowdsourced Data Based on General System Theory: A Design Science Methodology Approach

Ependi,

Rochim,

Wibowo

2023

Smart Cities

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In the quest to understand urban ecosystems, traditional evaluation techniques often fall short due to incompatible data sources and the absence of comprehensive, real-time data. However, with the recent surge in the availability of crowdsourced data, a dynamic view of urban systems has emerged. Recognizing the value of these data, this study illustrates how these data can bridge gaps in understanding urban interactions. Furthermore, the role of urban planners is crucial in harnessing these data effectively, ensuring that derived insights align with the practical needs of urban development. Employing the Design Science Methodology, the research study presents an assessment model grounded in the principles of the city ecosystem, drawing from the General System Theory for Smart Cities. The model is structured across three dimensions and incorporates twelve indicators. By leveraging crowdsourced data, the study offers invaluable insights for urban planners, researchers, and other professionals. This comprehensive approach holds the potential to revolutionize city sustainability assessments, deepening the grasp of intricate urban ecosystems and paving the way for more resilient future cities.

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Section: Discussionmentioning

confidence: 99%

An Assessment Model for Sustainable Cities Using Crowdsourced Data Based on General System Theory: A Design Science Methodology Approach

Ependi,

Rochim,

Wibowo

2023

Smart Cities

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“…These indicators encompass air quality, energy consumption, and public infrastructure. In particular, the notion of air quality pertains to the purity of the air and its implications within the urban milieu [81]. This encompasses a spectrum of factors, including pollution, emissions, defilement, and waste management [82].…”

Section: Discussionmentioning

confidence: 99%

An Assessment Model for Sustainability City Using Crowdsourced Data Based on General System Theory: A Design Science Methodology Approach

Ependi,

Rochim,

Wibowo

2023

Preprint

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Historically, the lack of comprehensive and real-time data is the main challenge in city sustainability assessments. However, with the increase in the availability of crowdsourced data over the last decade, a rich and real-time data source provides detailed images of urban systems. This has opened up new opportunities for practitioners, including geographers, social researchers, and data scientists, to gather and utilize social media data as a core source for studying cities and assessing their sustainability. This paper proposes an assessment model for the sustainability of cities based on crowdsourced data and the principles of General System Theory. The model aims to utilize crowdsourced data for the analysis and decision-making processes to enhance the sustainability and resilience of smart future cities.

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“…Data gathered from interviews, observations, or documentation are meticulously analyzed to comprehend stakeholder interests, perceptions, and the intricate dynamics within their relationship to the research subject. Stakeholder analysis serves as a valuable tool for researchers to apprehend the intricacies and complexities inherent in the social or organizational environment under scrutiny (Kaginalkar et al, 2023). The findings derived from stakeholder analysis can inform decisionmaking processes, policy formulation, and the development of strategies pertaining to the research subject.…”

Section: B Research Methodsmentioning

confidence: 99%

Stakeholder Analysis on PAL 16 Tourism Development in Cikole Village

Aji,

Faniza

2023

J. Kepariwisataan Destin. Hosp. dan Perjalanan

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Tourism is a sector that is well-developed in Greater Bandung. One of the places that has potential for tourism is PAL 16 in Cikole Village, this research article presents a stakeholder analysis conducted to assess the development of tourism in Cikole Village, while also examining the impacts of tourism on the village itself. The study adopts a qualitative research method, utilizing stakeholder analysis and descriptive analysis as the primary research techniques. This research uses in-depth interview as data collection method for primary data. The research stages are data collection, data analysis, and conclusion drawing. The research findings highlight the key stakeholders involved in the tourism development process, which include the village government, community, academics, and tourists. The analysis underscores the importance of collaboration among these stakeholders to effectively develop tourism in Cikole Village. Furthermore, the study reveals that tourism in PAL 16 has had positive impacts on the economic, social, and environmental aspects of the village. Economically, tourism has created new business opportunities, stimulated the local economy, and generated income for the local community. Socially, it has fostered cultural exchange, promoted community engagement, and enhanced local pride. Environmentally, tourism development has encouraged conservation efforts, raised awareness about natural resources, and supported sustainable practices. This research contributes to the understanding of stakeholder dynamics in tourism development and emphasizes the need for coordinated efforts among stakeholders to maximize the benefits and minimize the negative impacts. The findings provide valuable insights for policymakers, local communities, academics, and other stakeholders involved in the sustainable development of tourism destinations.

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Stakeholder analysis for designing an urban air quality data governance ecosystem in smart cities

Cited by 14 publications

References 30 publications

An Assessment Model for Sustainable Cities Using Crowdsourced Data Based on General System Theory: A Design Science Methodology Approach

An Assessment Model for Sustainable Cities Using Crowdsourced Data Based on General System Theory: A Design Science Methodology Approach

An Assessment Model for Sustainability City Using Crowdsourced Data Based on General System Theory: A Design Science Methodology Approach

Stakeholder Analysis on PAL 16 Tourism Development in Cikole Village

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