Barcelona bets on ‘digital twin’ as future of city planning


Article by Aitor Hernández-Morales: “In five years’ time, the structure of Europe’s cities won’t be decided in local town halls but inside a quiet 19th-century chapel in a leafy neighborhood of Barcelona.

Housed in the deconsecrated Torre Girona chapel, the MareNostrum supercomputer — one of the world’s most powerful data processors — is already busily analyzing how to improve city planning in Barcelona.

Barcelona is using data to track access to primary health care centers throughout the city | BSC

“We’re using the supercomputer to make sure the urban planning process isn’t just based on clever ideas and good intentions, but on data that allows us to anticipate its impacts and avoid the negative ones,” said Barcelona Deputy Mayor Laia Bonet, who is in charge of the city’s digital transition, climate goals and international partnerships.

As part of a pilot project launched with the Italian city of Bologna earlier this year, Barcelona has created a data-based replica of itself — a digital twin — where it can trial run potential city planning projects.

“Instead of implementing flawed policies and then have to go back and correct them, we’re saving time by making sure those decisions are right before we execute them,” said Bonet.

Although the scheme is still in its test phase, Bonet said she expects the city’s high-tech approach to urban development will soon be the norm in cities across the EU.

“Within a five-year horizon I expect to see this as a basic urban planning tool,” she said.

Looking for blindspots

Barcelona’s popular superilles, or “superblocks,” are a prime example of an urban scheme that could have benefited from data modelling in the planning stages, according to Bonet.

Since 2014 the city has been creating mini-neighborhoods where through-traffic and on-street parking is all but banned, with the goal of establishing a “network of green hubs and squares where pedestrians have priority.” The superblocks were also touted as a way to help tackle air pollution, which is directly responsible for over 1,000 deaths in Barcelona each year…(More)”.

Smart Cities and Smart Communities: Empowering Citizens through Intelligent Technologies


Book edited by Srikanta Patnaik, Siddhartha Sen, Sudeshna Ghosh: “Smart City” programs and strategies have become one of the most dominant urban agendas for local governments worldwide in the past two decades. The rapid urbanization rate and unprecedented growth of megacities in the 21st century triggered drastic changes in traditional ways of urban policy and planning, leading to an influx of digital technology applications for fast and efficient urban management. With the rising popularity in making our cities “smart”, several domains of urban management, urban infrastructure, and urban quality-of-life have seen increasing dependence on advanced information and communication technologies (ICTs) that optimize and control the day-to-day functioning of urban systems. Smart Cities, essentially, act as digital networks that obtain large-scale real-time data on urban systems, process them, and make decisions on how to manage them efficiently. The book presents 26 chapters, which are organized around five topics: (1) Conceptual framework for smart cities and communities; (2) Technical concepts and models for smart city and communities; (3) Civic engagement and citizen participation; (4) Case studies from the Global North; and (5) Case studies from the Global South…(More)”.

Collective Intelligence for Smart Cities


Book by Chun HO WU, George To Sum Ho, Fatos Xhafa, Andrew W. H. IP, Reinout Van Hille: “Collective Intelligence for Smart Cities begins with an overview of the fundamental issues and concepts of smart cities. Surveying the current state-of-the-art research in the field, the book delves deeply into key smart city developments such as health and well-being, transportation, safety, energy, environment and sustainability. In addition, the book focuses on the role of IoT cloud computing and big data, specifically in smart city development. Users will find a unique, overarching perspective that ties together these concepts based on collective intelligence, a concept for quantifying mass activity familiar to many social science and life science researchers. Sections explore how group decision-making emerges from the consensus of the collective, collaborative and competitive activities of many individuals, along with future perspectives…(More)”

The Sky’s Not The Limit: How Lower-Income Cities Can Leverage Drones


Report by UNDP: “Unmanned aerial vehicles (UAVs) are playing an important role in last-mile service delivery around the world. However, COVID-19 has highlighted a potentially broader role that UAVs could play – in cities. Higher-income cities are exploring the technology, but there is little documentation of use cases or potential initiatives in a development context. This report provides practical and applied guidance to lower-income cities looking to explore how drones can support key urban objectives…(More)”.

Shaping the Future of Small and Medium-Sized Cities: A Framework for Digital Transformation


Report by the World Economic Forum: “Digital transformation is becoming a crucial support mechanism for countries as they respond to the COVID-19 pandemic and undergo economic rebuilding and sustained development. For small and medium-sized cities (SMCs), digital transformation can disrupt traditional business models, breakthrough geographical and spatial boundaries, and create new ways to live in the digital era. However, the digital transformation of SMCs presents challenges such as insufficient digital talent, funds, and resources, poor understanding and application of digital technologies, and a lack of intercity interaction and cooperation mechanisms. This report analyses the challenges, needs, and concerns of SMCs undergoing digital transformation in China, Japan, Brazil, and Singapore, proposes a methodological reference model, and suggests actions for various urban stakeholders…(More)”.

The power of data: how Helsinki is improving citizens’ lives


WEF Blog: “New technologies, such as artificial intelligence, internet of things and the metaverse, demand data as the foundational resource for solving systemic challenges, from pandemic response to climate change. Yet despite an abundance of both supply and demand, the evolution from data to insight still presents many challenges.

On the one hand, data often remains siloed within territorial boundaries and corporate environments and is unavailable to benefit people, society and the planet. On the other, the type of governance needed to assure proper oversight, transparency and accountability by those using data is still being understood.

As the data universe expands, it becomes exponentially more complex, requiring solutions that integrate political, economic, social, environmental, technological and, most importantly, human aspects…

Through its partnership with the City of Helsinki, the Forum has convened a global community of technologists, anthropologists and policy and data experts to develop data policy that serves the general public and meets their expectations…(More)”.

Helsinki process to understand the power of data

Trust but Verify: Validating New Measures for Mapping Social Infrastructure in Cities


Paper by Timothy Fraser et al: “Scholars and policymakers increasingly recognize the value of social capital – the connections that generate and enable trust among people – in responding to and recovering from shocks and disasters. However, some communities have more social infrastructure, that is, sites that produce and maintain social capital, than others. Community centers, libraries, public pools, and parks serve as locations where people can gather, interact, and build social ties. Much research on urban spaces relies on Google maps because of its ubiquity and this article tests the degree to which it can accurately, reliably, and effectively capture social infrastructure. In this study, we map the social infrastructure of Boston using Google Maps Places API and then ground truth our measures, mapping social infrastructure on street corners with in-person site observations to evaluate the accuracy of available data. We find that though we may need to use multi-vectored measurement when trying to capture social infrastructure, Google maps serve as reliable measurements with a predictable, acceptable margin of error…(More)”.

Transparency of open data ecosystems in smart cities: Definition and assessment of the maturity of transparency in 22 smart cities


Paper by Martin Lnenicka et al: “This paper focuses on the issue of the transparency maturity of open data ecosystems seen as the key for the development and maintenance of sustainable, citizen-centered, and socially resilient smart cities. This study inspects smart cities’ data portals and assesses their compliance with transparency requirements for open (government) data. The expert assessment of 34 portals representing 22 smart cities, with 36 features, allowed us to rank them and determine their level of transparency maturity according to four predefined levels of maturity – developing, defined, managed, and integrated. In addition, recommendations for identifying and improving the current maturity level and specific features have been provided. An open data ecosystem in the smart city context has been conceptualized, and its key components were determined. Our definition considers the components of the data-centric and data-driven infrastructure using the systems theory approach. We have defined five predominant types of current open data ecosystems based on prevailing data infrastructure components. The results of this study should contribute to the improvement of current data ecosystems and build sustainable, transparent, citizen-centered, and socially resilient open data-driven smart cities…(More)”.

Cities Take the Lead in Setting Rules Around How AI Is Used


Jackie Snow at the Wall Street Journal: “As cities and states roll out algorithms to help them provide services like policing and traffic management, they are also racing to come up with policies for using this new technology.

AI, at its worst, can disadvantage already marginalized groups, adding to human-driven bias in hiring, policing and other areas. And its decisions can often be opaque—making it difficult to tell how to fix that bias, as well as other problems. (The Wall Street Journal discussed calls for regulation of AI, or at least greater transparency about how the systems work, with three experts.)

Cities are looking at a number of solutions to these problems. Some require disclosure when an AI model is used in decisions, while others mandate audits of algorithms, track where AI causes harm or seek public input before putting new AI systems in place.

Here are some ways cities are redefining how AI will work within their borders and beyond.

Explaining the algorithms: Amsterdam and Helsinki

One of the biggest complaints against AI is that it makes decisions that can’t be explained, which can lead to complaints about arbitrary or even biased results.

To let their citizens know more about the technology already in use in their cities, Amsterdam and Helsinki collaborated on websites that document how each city government uses algorithms to deliver services. The registry includes information on the data sets used to train an algorithm, a description of how an algorithm is used, how public servants use the results, the human oversight involved and how the city checks the technology for problems like bias.

Amsterdam has six algorithms fully explained—with a goal of 50 to 100—on the registry website, including how the city’s automated parking-control and trash-complaint reports work. Helsinki, which is only focusing on the city’s most advanced algorithms, also has six listed on its site, with another 10 to 20 left to put up.

“We needed to assess the risk ourselves,” says Linda van de Fliert, an adviser at Amsterdam’s Chief Technology Office. “And we wanted to show the world that it is possible to be transparent.”…(More)” See also AI Localism: The Responsible Use and Design of Artificial Intelligence at the Local Level

City museums in the age of datafication: could museums be meaningful sites of data practice in smart cities?


Paper by Natalia Grincheva: “The article documents connections and synergies between city museums’ visions and programming as well as emerging smart city issues and dilemmas in a fast-paced urban environment marked with the processes of increasing digitalization and datafication. The research employs policy/document analysis and semi-structured interviews with smart city government representatives and museum professionals to investigating both smart city policy frameworks as well as city museum’s data-driven installations and activities in New York, London and Singapore. A comparative program analysis of the Singapore City Gallery, Museum of the City of New York and Museum of London identifies such sites of data practices as Data storytelling, interpretation and eco-curation. Discussing these sites as dedicated spaces of smart citizen engagement, the article reveals that city museums can either empower their visitors to consider their roles as active city co-makers or see them as passive recipients of the smart city transformations….(More)”.