Big data dashboards as smart decision support tools for i-cities – An experiment on stockholm

Kourtit, Karima; Nijkamp, Peter

doi:10.1016/j.landusepol.2017.10.019

Cited by 71 publications

(51 citation statements)

References 20 publications

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“…The transformation from traditional governance to ICT enabled smart governance (Bolívar, ; Meijer & Bolívar, ) is gaining momentum where open data or other data platforms are providing useful contributions (Barns, ; Pérez‐González & Díaz‐Díaz, ). On the one hand increasing Big urban data provide greater opportunities for new forms of city governance; on the other hand there is no systematic and coherent data system to manage unstructured, semi‐structured and structured heterogeneous urban data in order to perform data analysis (Kourtit & Nijkamp, ). Barns () and Kourtit and Nijkamp () discuss the role of urban data platforms or dashboard in supporting the city governance.…”

Section: Big Data Analytics In Smart Citiesmentioning

confidence: 99%

“…On the one hand increasing Big urban data provide greater opportunities for new forms of city governance; on the other hand there is no systematic and coherent data system to manage unstructured, semi‐structured and structured heterogeneous urban data in order to perform data analysis (Kourtit & Nijkamp, ). Barns () and Kourtit and Nijkamp () discuss the role of urban data platforms or dashboard in supporting the city governance. These data platforms contribute as key elements for the development of new governance models for smart cities and forums in which various city stakeholders can test and discuss potentials and pitfalls of data‐driven initiatives in smart governance (Barns, ).…”

Section: Big Data Analytics In Smart Citiesmentioning

confidence: 99%

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Smart city big data analytics: An advanced review

Soomro

Bhutta

Khan

et al. 2019

WIREs Data Min & Knowl

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With the increasing role of ICT in enabling and supporting smart cities, the demand for big data analytics solutions is increasing. Various artificial intelligence, data mining, machine learning and statistical analysis-based solutions have been successfully applied in thematic domains like climate science, energy management, transport, air quality management and weather pattern analysis. In this paper, we present a systematic review of the literature on smart city big data analytics. We have searched a number of different repositories using specific keywords and followed a structured data mining methodology for selecting material for the review. We have also performed a technological and thematic analysis of the shortlisted literature, identified various data mining/machine learning techniques and presented the results. Based on this analysis we also present a classification model that studies four aspects of research in this domain. These include data models, computing models, security and privacy aspects and major market drivers in the smart cities domain. Moreover, we present a gap analysis and identify future directions for research. For the thematic analysis we identified the themes smart city governance, economy, environment, transport and energy. We present the major challenges in these themes, the major research work done in the field of data analytics to address these challenges and future research directions.

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Section: Big Data Analytics In Smart Citiesmentioning

confidence: 99%

Section: Big Data Analytics In Smart Citiesmentioning

confidence: 99%

Smart city big data analytics: An advanced review

Soomro

Bhutta

Khan

et al. 2019

WIREs Data Min & Knowl

View full text Add to dashboard Cite

show abstract

“…Cities and urban areas continue to attract people-the United Nations predicts that over 60% of the world's inhabitants will live in urban areas by 2030 [1]-and consume 60-80% of the world's total energy [2]. At the same time, cities still represent a flourishing environment for technological, economic and socio-cultural development [3], which is the testbed for any important change that can impact human life on the planet.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Cities: A Reflection on Potentialities and Limits based on Existing Eco-Districts in Europe

et al. 2019

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The need for more sustainable cities has become a primary objective of urban strategies. The urgency for a radical transition towards sustainability in a long term-vision has brought with it several new concepts, such as smart urbanism, and models, such as smart city, eco-city, sustainable neighborhood, eco-district, etc. While these terms are fascinating and visionary, they often lack a clear definition both in terms of theoretical insight and empirical evidence. In this light, this contribution aims at defining a conceptual framework through which to further substantiate the blurred concept of eco-district and sustainable neighborhood. It does so by reviewing the concepts of smart urbanism and sustainable neighborhood/eco-districts in the literature, including also references to other well-known sustainability-oriented models of urban development. It then explores whether several indicators, emerging from the analysis of exemplary case studies of sustainable neighborhoods in Europe, can be used to clearly identify the characteristics of a sustainable approach at the district scale. The analysis, built on a review of existing literature, allows for both the clarification of several issues related to these fields of inquiry, as well as for the identification of the potential bridges to link these issues.

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“…The SBW circular Dashboard designThe classification of the intrinsic, extrinsic characteristics () and user generated data of the SBW, as well as the definition of the walkability index (WI) and attractiveness index (AI) for each track, allowed us to develop the design of the SBW circular dashboard. After having framed the recent literature about data, techniques and platforms of existing Dashboards[41] and Big data dashboards as decision support tools[42], we decided to use the open source Google Sites tools as a framework for developing the dashboard, as compatible with the SBW Foundation website, so that the project presented here can be easily implemented and developed in the future. Moreover, we have considered the digital platform dedicated to the Regional Bicycle Mobility Plan of Sardinia[43], from which we extracted the tracks of the walk organized in biking tracks; furthermore, we selected theSBW Foundation website [28] for the walk and horse riding tracks.…”

mentioning

confidence: 99%

Smart Dashboard and Slow Tourism. A Case Study of2 Santa Barbara Walk (Sulcis – Iglesiente, Sardinia, 3 Italy)

Balletto¹,

Borruso²,

Milesi³

et al. 2019

Preprint

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Information and communication technologies play an increasingly important role in the process of acquiring knowledge from a territory and managing it at different scales. ICTs allow a rapid diffusion of data not only through institutional channels but also through social networks where the smart community share experiences and perceptions. In this sense, ICTs become strategic to support the promotion of sustainable tourism development of territories. An important tool to implement it, can be a circular smart dashboard, a decision support system in which the digital data are organized and processed to produce an information output, to be used, after the evaluation by the decision makers, as a new input for the system. The present paper deals with a wider research the authors are involved in, related to the reconversion and valorization of a former mining area towards slow tourism, as the Santa Barbara Walk (SBW), an ancient mining route in the Sulcis Iglesiente area (Sardinia, Italy) . In particular, we here focus on the design proposal of a dashboard, capable of organizing information concerning the main features of the walk, in order to facilitate a shared governance for an effective tourism promotion. The paper is based on a thorough recognition of the main characteristics of the Walk, both the material ones and the digital, immaterial ones. The SBW represents in fact a network connecting the main points of interest along the Walk. On the contrary, its digital network – consisting of intangible infrastructure and flows - is however fragmented in terms of policies and contents Also a state of disorganization in slow tourism promotion activities can be observed. The goal of this paper is to present and analysis of the area, and to propose an evaluation and planning tool as the design of a circular dashboard of the SBW.

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Big data dashboards as smart decision support tools for i-cities – An experiment on stockholm

Cited by 71 publications

References 20 publications

Smart city big data analytics: An advanced review

Smart city big data analytics: An advanced review

Sustainable Cities: A Reflection on Potentialities and Limits based on Existing Eco-Districts in Europe

Smart Dashboard and Slow Tourism. A Case Study of2 Santa Barbara Walk (Sulcis – Iglesiente, Sardinia, 3 Italy)

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Big data dashboards as smart decision support tools for i-cities – An experiment on stockholm

Cited by 71 publications

References 20 publications

Smart city big data analytics: An advanced review

Smart city big data analytics: An advanced review

Sustainable Cities: A Reflection on Potentialities and Limits based on Existing Eco-Districts in Europe

Smart Dashboard and Slow Tourism. A Case Study of2 Santa Barbara Walk (Sulcis &ndash; Iglesiente, Sardinia, 3 Italy)

Contact Info

Product

Resources

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Smart Dashboard and Slow Tourism. A Case Study of2 Santa Barbara Walk (Sulcis – Iglesiente, Sardinia, 3 Italy)