Coleção de Artigos Acadêmicos
URI permanente para esta coleçãohttps://repositorio.insper.edu.br/handle/11224/3227
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6 resultados
Resultados da Pesquisa
Artigo Científico Private ownership of water and wastewater systems: Assessing health impacts(2025) Chaves, Rodrigo França; ADRIANO BORGES FERREIRA DA COSTAThis study examines the impact of private ownership of water and wastewater systems on disease reduction linked to sanitation in Brazil from 1998 to 2021. It updates Saiani and de Azevedo (2018), which analyzed the period 1995–2008, by incorporating over a decade of additional data, key policy changes such as the 2020 Sanitation Law, and employing the Callaway–Sant’Anna Staggered DID methodology to address heterogeneity in treatment effects. Our findings reveal mixed results: while some municipalities achieved reductions in morbidity rates, others showed no change or increases, underscoring the context-dependent nature of privatization outcomes. A notable example is the case of Tocantins, where transitioning from a hybrid private-state model to full private ownership led to a significant decrease in disease morbidity, particularly among the most affected age groups. These advancements provide a robust, updated perspective on the privatization debate, offering valuable implications for policy and practice.Artigo Científico A systematic literature review of citizen science in urban studies and regional urban planning: policy, practical, and research implications(2025) Beck, Donizete; Mitkiewicz, JulianaCitizen Science (CS) has been useful in research development and policymaking, where laypeople contribute to collecting and/or analyzing data. With the technological advancement of smart cities and data analysis techniques, CS helps foster efficient/sustainable cities and data-driven decision-making. However, more effort is needed to make CS more accessible for urban scholars and practitioners. Thus, we provided a comprehensive overview of CS in Urban Studies and Regional Urban Planning (USRUP) by revealing the main thematic/method approaches, stakeholder roles, socioeconomic/environ mental/policy impacts, limitations, best practices, and cases. Thus, we performed a Systematic Literature Review on CS in USRUP using the PRISMA Guidelines of 94 studies collected from the Web of Science Core Collection, published by 2023. Our key findings underscore the practical uses of diverse methodologies and approaches employed in CS projects, emphasizing their potential to enhance urban research and policymaking. The core socioeconomic impacts of CS projects are fostering community empowerment, engagement, and educational opportunities. The main environmental impacts are enhancing monitoring capabilities, improving ecosystem service assessments, and supporting adaptive management practices. As for urban planning and policies, CS projects can foster data-driven planning, urban sustainability, urban resilience, healthier cities, and social equity. CS challenges include data quality and consistency, the digital divide, and the need for sustained funding. Best practices have included clear communication, standardized protocols, and strong community engagement. Further developments should involve citizens in more analytical roles (rather than merely instrumental ones, like data collection) in CS projects and explore CS in social urbanism for transforming vulnerable communities.Artigo Científico Quality Perception of São Paulo Transportation Services: A Sentiment Analysis of Citizens’ Satisfaction Regarding Bus Terminuses(2024) Beck, Donizete; Teixeira, Marco; Maróstica, Juliana; Ferasso, MarcosPurpose: To explore citizens’ satisfaction with all Bus Terminuses (BTs) in São Paulo City, Brazil. Method: This study performed a Sentiment Analysis of citizens' perception of 32 BTs of São Paulo, composed of 8,371 user comments on Google Maps. Originality/Relevance: This study highlights the role of Sentiment Analysis as an optimal tool for Stakeholder Analysis in the Urban Context. Findings: First, Sentiment Analysis is a valuable source for stakeholder oriented urban management. Second, sentiment Analysis provides detailed information about citizen satisfaction, providing valuable cues for urban managers to improve public service quality. Third, Smart Sustainable Cities can provide multiple and massive quantities of data that all kinds of urban stakeholders can use in decision-making processes, which helps perform Sentiment Analysis. Fourth, Sentiment Analysis is helpful for BT managers to improve BT services based on the users' feelings. Finally, further studies should explore sentiment classification in Sentiment Analysis of the critical aspects unfolded in this study as well as for exploring responsiveness of municipal public services. Methodological Contributions: This study demonstrated that Sentiment Analysis can be a method for scrutinizing stakeholders' opinions and perceptions about governmental services at the city level. Practitioner Contributions: Urban Planners, Transportation Policy Makers, and Urban Managers can use Sentiment Analysis to foster stakeholder-oriented management, which in turn fosters democracy and urban performance.Artigo Científico Using bundling to visualize multivariate urban mobility structure patterns in the São Paulo metropolitan area(2021) Martins, Tallys G.; Lago, Nelson; Santana, Eduardo F. Z.; Telea, Alexandru; Kon, Fabio; Souza, Higor A. deInternet-based technologies such as IoT, GPS-based systems, and cellular networks enable the collection of geolocated mobility data of millions of people in large metropolitan areas. In addition, large, public datasets are made available on the Internet by open government programs, providing ways for citizens, NGOs, scientists, and public managers to perform a multitude of data analysis with the goal of better understanding the city dynamics to provide means for evidence-based public policymaking. However, it is challenging to visualize huge amounts of data from mobility datasets. Plotting raw trajectories on a map often causes data occlusion, impairing the visual analysis. Displaying the multiple attributes that these trajectories come with is an even larger challenge. One approach to solve this problem is trail bundling, which groups motion trails that are spatially close in a simplified representation. In this paper, we augment a recent bundling technique to support multi-attribute trail datasets for the visual analysis of urban mobility. Our case study is based on the travel survey from the São Paulo Metropolitan Area, which is one of the most intense traffic areas in the world. The results show that bundling helps the identification and analysis of various mobility patterns for different data attributes, such as peak hours, social strata, and transportation modes.Artigo Científico Transitioning to a driverless city: Evaluating a hybrid system for autonomous and non-autonomous vehicles(2021) Santana, Eduardo Felipe Zambom; Covas, Gustavo; Duarte, Fábio; Santi, Paolo; Ratti, Carlo; Kon, FabioAutonomous vehicles will transform urban mobility. However, before being fully implemented, autonomous vehicles will navigate cities in mixed-traffic roads, negotiating traffic with human-driven vehicles. In this work, we simulate a system of autonomous vehicles co-existing with human-driven vehicles, analyzing the consequences of system design choices. The system consists of a network of arterial roads with exclusive lanes for autonomous vehicles where they can travel in platoons. This paper presents the evaluation of this system in realistic scenarios evaluating the impacts of the system on travel time using mesoscopic traffic simulation. We used real data from the metropolis of São Paulo to create the simulation scenarios. The results show that the proposed system would bring reductions to the average travel time of the city commuters and other benefits such as the reduction of the space required to handle all the traffic.Artigo Científico Urban Performance: A Systematic Literature Review Performance urbana: una revisión sistemática de la literatura sobre estudios urbanos(2024) Beck, Donizete; Ferasso, MarcosThe focus here is to explore and organize the literature of urban studies on urban performance and the main indicators used. This study applies a literature review analysing a sample of 47 papers gathered from the Scopus database. All of the selected papers are concerned with urban studies, urban management, and urban planning. This study provides a guide for scholars and practitioners containing the main indicators used for measuring urban performance and how they can effectively explore those indicators to produce better research and policies. Findings reveal a synthesis of the most used indicators for measuring the urban performance of the mainstream approaches in urban studies (socioeconomic and demographic; environmental; smart cities; urban design, built environment, and territory; public administration, government, and governance; energy efficiency; sustainability and sustainable development; transportation and mobility; benchmarking; and global cities). Also provided are how these indicators can be better explored by scholars and practitioners. The social and managerial contributions of this paper lie in its synthesis of urban performance indicators, which can be useful for scholars to improve their research as well as to enable urban planners and managers to work more efficiently with urban policies and thus improve the desired urban performance for one or various approaches.