Urban Intelligence

A smart city can be seen as a urban space that takes advantage of information and communication technologies and data science to answer todays challenges, namely to become more efficient in services and infrastructures management and to deliver increased quality of life to the people who lives, works or visits the city, not forgetting the support to fight climate change. In this framework cities governments are nowadays under pressure and going through a digital transformation process that is translated in the proliferation of Smart Cities initiatives around the world as part of the strategic response to the challenges and opportunities of growing urbanization and climate change altogether with the emergence of cities as a space for social and economic development. In this work we will propose a concept of urban intelligence and its building blocks that result from the city digital transformation process which will lead to a paradigm shift leading to the city as a platform where urban planning and management is supported by urban analytics and real time data

A Systematic Review

Jardim, B., & De Castro Neto, M. (2022). Walkability Indicators in the Aftermath of the COVID-19 Pandemic: A Systematic Review. Sustainability, 14(17), 1-24. [10933]. https://doi.org/10.3390/su141710933 - -----Funding: This research was funded by the Project C-TECH—Climate Driven Technologies for Low Carbon Cities, grant number POCI-01-0247-FEDER-045919 | LISBOA-01-0247-FEDER-045919, co-financed by the ERDF—European Regional Development Fund through the Operational Program for Competitiveness and Internationalization—COMPETE 2020, the Lisbon Portugal Regional Operational Program—LISBOA 2020 and by the Portuguese Foundation for Science and Technology—FCT under MIT Portugal Program. This work was also supported by Portuguese national funds through the Portuguese Foundation for Science and Technology—FCT under research grant FCT UIDB/04152/2020–Centro de Investigação em Gestão de Informação (MagIC).Walkability indicators are a pivotal method to evaluate the role of the built environment in people’s decisions regarding active mobility, contributing to help promote more sustainable and equitable regions. Currently, there is a lack of literature describing the trends and findings from recent studies, and how research on this topic has responded to COVID-19. In this work, we apply the PRISMA methodology to perform a systematic literature review of studies that employed walkability indicators to uncover associations between walkability and different topics, such as physical activity, health and mobility, in the aftermath of the pandemic. Results show that the growth rate of studies in this period almost doubled compared to the three years prior to the outbreak. We explore the main subjects addressed in recent literature and found that most studies resorted to well-known indicators, predominantly to Walk Score®, while fewer works developed and applied new indicators. General findings point to a positive association between walkability and physical activity, overall health and active mobility. Moreover, in recent works, walkability’s relationship with environmental metrics is not clear and there is a lack of studies linking walkability indicators to COVID-19. More than two years after the worldwide outbreak of the COVID-19 virus, our work provides an effective resource for researchers to understand recent trends in studies employing walkability indicators.publishersversionpublishe

Monitoring Cities’ Environmental Sustainability : Lisbon’s Case Study

Pacheco, P. M. E., & Neto, M. D. C. (2022). Monitoring Cities’ Environmental Sustainability : Lisbon’s Case Study. In 2022 17th Iberian Conference on Information Systems and Technologies (CISTI): proceedings (pp. 1-7). (CISTI 2022. 17th Iberian Conference on Information Systems and Technologies, 22-25 June 2022, Madrid, Spain). IEEE. ISBN: 978-9-8933-3436-2. https://doi.org/10.23919/CISTI54924.2022.9820501------------------------FUNDING: Work developed as a contribution to Project C-TECH — Climate Driven Technologies for Low Carbon Cities (reference 045919), co-financed by the ERDF — European Regional Development Fund through the Operational Program for Competitiveness and Internationalisation — COMPETE 2020, the North Portugal Regional Operational Program — NORTE 2020 and by the Portuguese Foundation for Science and Technology — FCT under MIT Portugal.In a world of increasing urbanization and where climate change is a growing concern, data presents itself as way to measure the established efforts and forecast future needs and policies as Lisbon finds means to solve some of the major problems that come with being a large city such as air quality and pollution, waste management, mobility, and overall quality of life for its residents. As such, this project developed a dashboard in a BI visualization tool comprised of metrics and indicators based on a tailored framework from the city derived from pre-existing frameworks and conversations with Lisbon’s city experts. The result is a prototypical dashboard that can be built upon in the future, once the city invests in a stronger ICT infrastructure that allows for the collection of data to support a project of this nature, something that, currently, is lacking.authorsversionpublishe

BIWiki - Using a Business Intelligence Wiki to Form a Virtual Community of Practice for Portuguese Master's Students

Web 2.0 software in general and wikis in particular have been receiving growing attention as they constitute new and powerful tools, capable of supporting information sharing, creation of knowledge and a wide range of collaborative processes and learning activities. This paper introduces briefly some of the new opportunities made possible by Web 2.0 or the social Internet, focusing on those offered by the use of wikis as learning spaces. A wiki allows documents to be created, edited and shared on a group basis; it has a very easy and efficient markup language, using a simple Web browser. One of the most important characteristics of wiki technology is the ease with which pages are created and edited. The facility for wiki content to be edited by its users means that its pages and structure form a dynamic entity, in permanent evolution, where users can insert new ideas, supplement previously existing information and correct errors and typos in a document at any time, up to the agreed final version. This paper explores wikis as a collaborative learning and knowledge-building space and its potential for supporting Virtual Communities of Practice (VCoPs). In the academic years (2007/8 and 2008/9), students of the Business Intelligence module at the Master's programme of studies on Knowledge Management and Business Intelligence at Instituto Superior de Estatistica e Gestao de Informacao of the Universidade Nova de Lisboa, Portugal, have been actively involved in the creation of BIWiki - a wiki for Business Intelligence in the Portuguese language. Based on usage patterns and feedback from students participating in this experience, some conclusions are drawn regarding the potential of this technology to support the emergence of VCoPs; some provisional suggestions will be made regarding the use of wikis to support information sharing, knowledge creation and transfer and collaborative learning in Higher Education

Emerging Collective Intelligence Business Models

This paper essays an approach to the emergence of collective intelligence as new Business Model trough the inclusion of crowdsourcing in business processes. To contextualize this phenomenon, we present a brief sate of art, highlighting some key terms fundamental to understand collective intelligence and its impact in the business environment and on how organizations are changing the way they perform and produce products and services. First we approach Web 2.0 and the difficulties of a scientific definition for this expression. Then we have a look into crowdsourcing boost, consequence of the new possibilities opened by Web 2.0 applications and enabled by technologic evolution. Regarding Collective intelligence we give particular attention to Malone\u27s Collective Intelligence genoma, due to the possibilities of understanding Collective Intelligence phenomenon brought by this framework into organization\u27s business models. Then we focus on business models, particularly in the importance of new web 2.0 based ones in creating value, particularly in the new trend of business processes experimentation supported by collective intelligence activities. We present collective intelligence as having the potential to generate new business models and will present examples of well-succeeded cases. Finally, we present some examples of Portuguese collective intelligence business models and make some final statements considering the subject of the article

YouTube.PT: a Portuguese Profile on YouTube

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BIWiki - Using a Business Intelligence Wiki to Form a Virtual Community of Practice for Portuguese Master's Students

Web 2.0 software in general and wikis in particular have been receiving growing attention as they constitute new and powerful tools, capable of supporting information sharing, creation of knowledge and a wide range of collaborative processes and learning activities. This paper introduces briefly some of the new opportunities made possible by Web 2.0 or the social Internet, focusing on those offered by the use of wikis as learning spaces. A wiki allows documents to be created, edited and shared on a group basis; it has a very easy and efficient markup language, using a simple Web browser. One of the most important characteristics of wiki technology is the ease with which pages are created and edited. The facility for wiki content to be edited by its users means that its pages and structure form a dynamic entity, in permanent evolution, where users can insert new ideas, supplement previously existing information and correct errors and typos in a document at any time, up to the agreed final version. This paper explores wikis as a collaborative learning and knowledge-building space and its potential for supporting Virtual Communities of Practice (VCoPs). In the academic years (2007/8 and 2008/9), students of the Business Intelligence module at the Master's programme of studies on Knowledge Management and Business Intelligence at Instituto Superior de Estatistica e Gestao de Informacao of the Universidade Nova de Lisboa, Portugal, have been actively involved in the creation of BIWiki - a wiki for Business Intelligence in the Portuguese language. Based on usage patterns and feedback from students participating in this experience, some conclusions are drawn regarding the potential of this technology to support the emergence of VCoPs; some provisional suggestions will be made regarding the use of wikis to support information sharing, knowledge creation and transfer and collaborative learning in Higher Education

Community Safety and Well-being in Touristic Spots Using Open Data

Assis, D., De Castro Neto, M., & Motta, M. (2021). Community Safety and Well-being in Touristic Spots Using Open Data. International Journal of Modeling and Optimization, 11(1), 1-11. https://doi.org/10.7763/IJMO.2021.V11.770There are many different reasons that can lead a tourist to decide which destination will be chosen on his/her next trip. Besides knowing what are the attractions that must be visited, it is also common to look for more information regarding the overall safety and well-being conditions of travel destinations. Usually shared by local authorities, this kind of information can also be found in a less structured form through public sources, such as web sites and social platforms. However, there are a couple of challenges to be considered: the predominance of unstructured data; the lack of a common standard to distinguish safe and unsafe places; the distinct period needed to update the collected data. In this study, the proposed model combines official census data with open data, social platforms and other online sources, allowing the definition of a score for touristic spots in Lisbon. The resulting score should be able to quantify the community safety and well-being, as well as to identify threats and opportunities for the local tourism industry. Furthermore, it would not only help tourists in their traveling decisions but also, allow decision-makers to track socioeconomic issues and to support public management through a data-driven approach.publishersversionpublishe

SMART TOURISM – CITY TOURISM RADAR: A Tourism Monitoring Tool at the City of Lisbon

The increasing demand for Lisbon has led to an uncontrolled access to the city’s main attractions, which is reflected in the number of visitors that can be encountered at the city. Smart tourism destinations are gaining relevance in smart cities in everyday life, and technology is intricated more than ever in the cities and its citizens. In the present work it is proposed a conceptual model to a city tourism dashboard and its materialization using open data from the city’s public portal, produced by the Lisbon City Council and other partners. It is also suggested a method to the conception of this tool and the main indicators that must be included based on the actual state of the art. It concludes with a proposal of future developments to perform on the smart tourism destinations area

A street-point method to measure the spatiotemporal relationship between walkability and pedestrian flow

Jardim, B., Neto, M. D. C., & Barriguinha, A. (2023). A street-point method to measure the spatiotemporal relationship between walkability and pedestrian flow. Computers, Environment and Urban Systems, 104(September), [101993]. https://doi.org/10.1016/j.compenvurbsys.2023.101---This research was funded by the Project C-TECH—Climate Driven Technologies for Low Carbon Cities, grant number POCI-01-0247-FEDER-045919|LISBOA-01-0247-FEDER-045919, co-financed by the ERDF—European Regional Development Fund through the Operational Program for Competitiveness and Internationalization—COMPETE 2020, the Lisbon Portugal Regional Operational Program—LISBOA 2020 and by the Portuguese Foundation for Science and Technology—FCT under MIT Portugal Program. This work was also supported by Portuguese national funds through the Portuguese Foundation for Science and Technology—FCT under research grant FCT UIDB/04152/2020–Centro de Investigação em Gestão de Informação (MagIC).Walkability indicators are a pivotal method to evaluate the role of the built environment in peoples' decisions regarding active mobility, supporting the application of public measures that contribute to more sustainable and resilient regions. Currently, data used to evaluate associations between walkability indicators and travel behavior is obtained via traditional methods of data collection, like questionnaires, that are costly and hard to scale in large urban environments. Moreover, the spatial resolution of most indicators may not be sufficient to support granular local public interventions. To face these issues, we propose a novel walkability indicator that provides a score of walkability for every one-meter street point, based on street conditions and accessibility to points of interest calculated with a Cumulative-Gaussian impedance function. Resorting to Linear and Geospatial Weighted Regressions, we evaluate the associations between walkability features and pedestrian flow data retrieved from mobile phone communication signals for a week in March 2022. The relationship between walkability features and pedestrian flow is stronger during workdays, in which accessibility to education, food amenities and government services are the most important predictors. On the weekend, the features with more explanatory power are accessibility to crosswalks and leisure amenities. Accessibility to public transport, sidewalk width and slope seem to impact pedestrian decisions independently of the day type, although the impact is stronger on weekends. This study provides policy makers and urban planners with a practical tool to effectively support the evaluation of current street conditions and access areas that are underserved, as well as plan and gauge new local interventions, while objectively understanding their impacts on pedestrian mobility.publishersversionepub_ahead_of_prin