The Intelligenter Method (II) for “smarter” urban policy-making and regulation drafting

Marsal-Llacuna, Maria-Lluïsa; Segal, Mark Evan

doi:10.1016/j.cities.2016.05.006

Cited by 20 publications

(4 citation statements)

References 26 publications

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“…In other words, the citizen is used as a validator but not as a designer. The author of this paper has largely published about this issue [4][5][6]. Would not all of these Strategies, Policies, Plans, and Regulations better cover citizens' needs if citizens would be directly involved in the design process?…”

Section: Disintermediating Strategies With a Simple Blockchain Transaction: The Public Agora Dashboard As Examplementioning

confidence: 99%

Cryptourbanomics: A Method to Boost Urban Sustainability with Blockchain Technology

Marsal-Llacuna¹

2021

Sustainability

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Cryptourbanomics puts forward the idea that there are forces and capital in our society that cannot be dismissed or neglected but that the System (understood as the Establishment or Status-quo) has failed to acknowledge or been unable to address. These social forces have strong ideological, cultural, or identity components, sometimes related to an unrealized Right to the City (Lefèvre, 1968). The social capital behind those forces are often citizens who gave up—the so-called drop-outs because they lost their faith in the System and prefer living in their own world. Blockchain is the technology that empowers these unheard social forces and capital. However, blockchain will remain as an Anti-System technology until it finds a fit within the Establishment until the Status-quo acknowledges and ushers it. Cryptourbanomics is a novel method that brings into the blockchain those societal challenges that the System leaves unsolved. And because today’s societal challenges mostly take place in urban environments, the Cryptourbanomics method focuses on the overall urban sustainability and analyses them with a blockchain lens. The Cryptourbanomics method includes an array of blockchain tools to tackle legacy societal challenges yet unsolved by the System with a more decentralised, distributed, transparent and neutral approach. This paper shows how the Cryptourbanomics method can help deliver on Urban Sustainability by shifting powers, from the Establishment to Communities, and it showcases this with a use case within the Right to the City, that is the Right to Work.

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Section: Disintermediating Strategies With a Simple Blockchain Transaction: The Public Agora Dashboard As Examplementioning

confidence: 99%

Cryptourbanomics: A Method to Boost Urban Sustainability with Blockchain Technology

Marsal-Llacuna¹

2021

Sustainability

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“…Smart cities is a widely used concept that seeks to address such urban challenges through an intelligent (smart) use of information communication technologies, but there is no agreed definition of what a smart city is. As the smart city concept matures it has evolved from being strongly biased towards technology to a more citizen-centric concept that aims to address the resilience and sustainable development of cities (Marsal-Llacuna and Segal 2017). Yet there is still widespread criticism of the way smart cities are being implemented with claims that smart cities are largely a strategic vision rather than a reality on the ground (Angelidou 2014;Kummitha and Crutzen 2017).…”

Section: Introductionmentioning

confidence: 99%

Leadership in, of, and for smart cities – case studies from Europe, America, and Australia

Sancino

Hudson

2020

Public Management Review

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This paper analyses leadership in, of, and for smart cities. Using a multi-case study research design and Mode 2 research (based upon collaboration between a scholar and a practitioner), we explore smart city initiatives in Europe (Amsterdam, Bristol, and Milton Keynes), North and South America (Chicago and Curitiba), and Australia (Melbourne). We undertake a comparative analysis which looks at leadership through six lenses: place, purpose, person, position, process, and performance. From our analysis four modes of smart city leadership emerge: smart cities as digital government, smart cities as digital driver for economic growth, smart cities as an open platform for digital socio-political innovation, and smart cities as an open platform for digital economy.

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“…Despite the fact that smart cities do have different interpretations [3][4][5][6][7][8][9][10] and have also attracted criticism [11][12][13][14][15][16], it seems that the concept has established itself by becoming embedded in the scientific literature, with ever increasing practical applications. Along the years it has become a widely used policy concept for cities, its popularity being supported by its perceived connection to the globally accepted Sustainable Development Goals [17].…”

Section: Introductionmentioning

confidence: 99%

VIIRS Nighttime Light Data for Income Estimation at Local Level

et al. 2020

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The aim of the paper is to develop a model for the real-time estimation of local level income data by combining machine learning, Earth Observation, and Geographic Information System. More exactly, we estimated the income per capita by help of a machine learning model for 46 cities with more than 50,000 inhabitants, based on the National Polar-orbiting Partnership–Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) nighttime satellite images from 2012–2018. For the automation of calculation, a new ModelBuilder type tool was developed within the ArcGIS software called EO-Incity (Earth Observation–Income city). The sum of light (SOL) data extracted by means of the EO-Incity tool and the observed income data were integrated in an algorithm within the MATLAB software in order to calculate a transfer equation and the average error. The results achieved were subsequently reintegrated in EO-Incity and used for the estimation of the income value at local level. The regression analyses highlighted a stable and strong relationship between SOL and income for the analyzed cities. The EO-Incity tool and the machine learning model proved to be efficient in the real-time estimation of the income at local level. When integrated in the information systems specific for smart cities, they can serve as a support for decision-making in order to fight poverty and reduce social inequalities.

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The Intelligenter Method (II) for “smarter” urban policy-making and regulation drafting

Cited by 20 publications

References 26 publications

Cryptourbanomics: A Method to Boost Urban Sustainability with Blockchain Technology

Cryptourbanomics: A Method to Boost Urban Sustainability with Blockchain Technology

Leadership in, of, and for smart cities – case studies from Europe, America, and Australia

VIIRS Nighttime Light Data for Income Estimation at Local Level

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