Journal articles on the topic 'Smart cities – Canada'
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Kolomechiuk, Vladyslav. "PRIORITIES OF CANADA URBAN DEVELOPMENT: FROM SUSTAINABLE TO SMART CITIES." International Journal of New Economics and Social Sciences 8, no. 2 (December 30, 2018): 181–83. http://dx.doi.org/10.5604/01.3001.0012.9942.
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The article deals with the priorities and dynamics of the Canada urban development and describes the sustainable cities evolution. The purpose of the work is to compare the main achievements in the implementation of sustainable cities in Canada and to outline the problems and prospects of the formation of smart cities. To date smart cities is also an innovative system, where technologies are used to improve the relationship between citizens and their governments and provide social innovation and improve quality of life. A sustainable and smart cities is a place where citizens work with local authorities to improve service delivery, develop community initiatives and create solutions to improve quality of life. In this context, it is important to analyze the current policy of sustainable urban development in Canada in order to identify problem points and formulate recommendations for further de-velopment.
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Roy, Jeffrey. "Smart cities in Canada: an examination of progress and impediments in Halifax, Canada." International Journal of Services Technology and Management 23, no. 5/6 (2017): 361. http://dx.doi.org/10.1504/ijstm.2017.088944.
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Roy, Jeffrey. "Smart cities in Canada: an examination of progress and impediments in Halifax, Canada." International Journal of Services Technology and Management 23, no. 5/6 (2017): 361. http://dx.doi.org/10.1504/ijstm.2017.10009858.
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Golubchikov, Oleg, and Mary Thornbush. "Artificial Intelligence and Robotics in Smart City Strategies and Planned Smart Development." Smart Cities 3, no. 4 (October 3, 2020): 1133–44. http://dx.doi.org/10.3390/smartcities3040056.
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Smart city strategies developed by cities around the world provide a useful resource for insights into the future of smart development. This study examines such strategies to identify plans for the explicit deployment of artificial intelligence (AI) and robotics. A total of 12 case studies emerged from an online keyword search representing cities of various sizes globally. The search was based on the keywords of “artificial intelligence” (or “AI”), and “robot,” representing robotics and associated terminology. Based on the findings, it is evident that the more concentrated deployment of AI and robotics in smart city development is currently in the Global North, although countries in the Global South are also increasingly represented. Multiple cities in Australia and Canada actively seek to develop AI and robotics, and Moscow has one of the most in-depth elaborations for this deployment. The ramifications of these plans are discussed as part of cyber–physical systems alongside consideration given to the social and ethical implications.
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Tian, Li. "Smart-City Regulation." McGill GLSA Research Series 1, no. 1 (November 22, 2021): 1–34. http://dx.doi.org/10.26443/glsars.v1i1.150.
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Consider that 26.3 million people live in Shanghai and 20 million live in Beijing as of 2019. Now consider that these 46.3 million people live within an area of approximately 23,000 km². By comparison, Canada’s population in 2019 was 37.6 million and the area of Canada is approximately 10 million km². China is on the leading edge of smart-city projects because population density gives it little choice. China must take bold steps in terms of both technology and regulation to cope with the demands for social management, which these megacities create. Accordingly, about half of the Smart City Projects globally are in China.
Many smart cities pilot projects are underway across China addressing many infrastructures and other organizational concerns. One such organizational concern is coping with the solid waste generated in cities. China produces more than 300 million tons of solid waste per year, and much of it comes from its cities.
This research project explores China's food and beverage delivery online platforms and the waste they cause. In 2019, this industry has developed rapidly, generating economic activity valued at ¥ 653.6 billion that year ($CAD 121 billion). Out of a total population of 1.4 billion, 460 million people are currently consumers of these online platforms. Most of these consumers live in China’s megacities. This consumption is not projected to decrease post-pandemic. The problem is that solid waste from this industry in 2019 weighed approximately 2.7 million tons.
This paper analyzes reasons why the online food take-out industry has caused a plastic waste surge from the perspective of China's environmental legislation, law enforcement efficiency, and recycling subsidies. At the same time, through the case study of the German Packaging Law, this paper suggested on the management and recycling of Chinese take-out packaging were put forward.
The Chinese government has issued national standards for the design and construction of smart cities. This paper explores how to use legal governance and supervision in smart city design and operation to assist in implementing environmental regulations to control the take-out waste. The take-out waste problem does not only exist in China. Almost all major cities in the world are facing this problem. China's experiences may provide a new path for the city's solid waste disposal and other environmental issues and lead the cities to explore more environmental protection possibilities.
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Morris, E., X. Liu, A. Manwar, D. Y. Zang, G. Evans, J. Brook, B. Rousseau, C. Clark, and J. MacIsaac. "APPLICATION OF DISTRIBUTED URBAN SENSOR NETWORKS FOR ACTIONABLE AIR QUALITY DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences VI-4/W2-2020 (September 15, 2020): 119–26. http://dx.doi.org/10.5194/isprs-annals-vi-4-w2-2020-119-2020.
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Abstract. Ambient air pollution continues to be a major human health burden around the world. Cities with existing smart data infrastructure, and those with smart city aspirations, would benefit from the integration of real-time data from an air quality sensor network. AirSENCE™ is one such sensor which monitors eight common pollutants at low cost. It has been deployed in Canada in cities of the Greater Toronto Area, e.g. the City of Oshawa, to augment the existing urban data network and study the impacts of traffic flow and land usage on air quality. Results reveal that distributed sensors are highly useful for detecting localized pollution events that would otherwise go undetected, providing policymakers with a valuable, actionable data for protecting public health. Coupling air quality sensors with other smart city data (traffic monitors in this case) was shown to provide a more comprehensive representation of how air pollutant levels are affected by human activity, which can better inform city planning decisions.
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Rezansoff, Stefanie N., Akm Moniruzzaman, Wei Xiao Yang, and Julian M. Somers. "A Hub intervention in Surrey, Canada: learning from people at risk." Journal of Community Safety and Well-Being 3, no. 2 (October 17, 2018): 47. http://dx.doi.org/10.35502/jcswb.69.
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Co-occurring health and public safety concerns involving mental illness, substance use, and homelessness are increasingly prevalent challenges for policymakers in cities worldwide. The Hub model is a roundtable process where the combined resources of diverse agencies are used to mitigate urgent risk of crime, victimization, illness and death, by establishing immediate connections with appropriate services and supports. Initiated in Scotland, the model has been replicated in more than 60 communities across Canada since 2012. In November 2105, the Surrey Mobilization and Resiliency Table (SMART) became the first Hub in British Columbia. Little peer-reviewed research has examined the impact of Hub inter-ventions from a client perspective. We conducted semi-structured interviews with 16 SMART clients and analyzed their responses thematically. We also examined demographic- and intervention-related characteristics reported in the SMART database. Participants described positive experiences with SMART service providers, and commented that the intervention was effective at meeting relatively circumscribed needs. However, most clients reported complex and mutually exacer-bating health and social conditions, and expressed the need for ongoing structured support (e.g., Assertive Community Treatment (ACT)). Our results emphasize the beneficial role played by SMART’s coordinated, real-time approach. They also indicate demand for social policies that include substantial and enduring forms of support to prevent crises and promote community safety.
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Burns, Ryan, and Grace Wark. "Where’s the database in digital ethnography? Exploring database ethnography for open data research." Qualitative Research 20, no. 5 (November 12, 2019): 598–616. http://dx.doi.org/10.1177/1468794119885040.
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Contemporary cities are witnessing momentous shifts in how institutions and individuals produce and circulate data. Despite recent trends claiming that anyone can create and use data, cities remain marked by persistently uneven access and usage of digital technologies. This is the case as well within the emergent phenomenon of the ‘smart city,’ where open data are a key strategy for achieving ‘smartness,’ and increasingly constitute a fundamental dimension of urban life, governance, economic activity, and epistemology. The digital ethnography has extended traditional ethnographic research practices into such digital realms, yet its applicability within open data and smart cities is unclear. The method has tended to overlook the important roles of particular digital artifacts such as the database in structuring and producing knowledge. In this paper, we develop the database ethnography as a rich methodological resource for open data research. This approach centers the database as a key site for the production and materialization of social meaning. The database ethnography draws attention to the ways digital choices and practices—around database design, schema, data models, and so on—leave traces through time. From these traces, we may infer lessons about how phenomena come to be encoded as data and acted upon in urban contexts. Open databases are, in other words, key ways in which knowledges about the smart city are framed, delimited, and represented. More specifically, we argue that open databases limit data types, categorize and classify data to align with technical specifications, reflect the database designer’s episteme, and (re)produce conceptions of the world. We substantiate these claims through a database ethnography of the open data portal for the city of Calgary, in Western Canada.
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Oetomo, Arlene, Niloofar Jalali, Paula Dornhofer Paro Costa, and Plinio Pelegrini Morita. "Indoor Temperatures in the 2018 Heat Wave in Quebec, Canada: Exploratory Study Using Ecobee Smart Thermostats." JMIR Formative Research 6, no. 5 (May 12, 2022): e34104. http://dx.doi.org/10.2196/34104.
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Background Climate change, driven by human activity, is rapidly changing our environment and posing an increased risk to human health. Local governments must adapt their cities and prepare for increased periods of extreme heat and ensure that marginalized populations do not suffer detrimental health outcomes. Heat warnings traditionally rely on outdoor temperature data which may not reflect indoor temperatures experienced by individuals. Smart thermostats could be a novel and highly scalable data source for heat wave monitoring. Objective The objective of this study was to explore whether smart thermostats can be used to measure indoor temperature during a heat wave and identify houses experiencing indoor temperatures above 26°C. Methods We used secondary data—indoor temperature data recorded by ecobee smart thermostats during the Quebec heat waves of 2018 that claimed 66 lives, outdoor temperature data from Environment Canada weather stations, and indoor temperature data from 768 Quebec households. We performed descriptive statistical analyses to compare indoor temperatures differences between air conditioned and non–air conditioned houses in Montreal, Gatineau, and surrounding areas from June 1 to August 31, 2018. Results There were significant differences in indoor temperature between houses with and without air conditioning on both heat wave and non–heat wave days (P<.001). Households without air conditioning consistently recorded daily temperatures above common indoor temperature standards. High indoor temperatures persisted for an average of 4 hours per day in non–air conditioned houses. Conclusions Our findings were consistent with current literature on building warming and heat retention during heat waves, which contribute to increased risk of heat-related illnesses. Indoor temperatures can be captured continuously using smart thermostats across a large population. When integrated with local heat health action plans, these data could be used to strengthen existing heat alert response systems and enhance emergency medical service responses.
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Albrecht, Stefano V., André M. S. Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, et al. "Reports of the AAAI 2014 Conference Workshops." AI Magazine 36, no. 1 (March 25, 2015): 87–98. http://dx.doi.org/10.1609/aimag.v36i1.2575.
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The AAAI-14 Workshop program was held Sunday and Monday, July 27–28, 2012, at the Québec City Convention Centre in Québec, Canada. Canada. The AAAI-14 workshop program included fifteen workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were AI and Robotics; Artificial Intelligence Applied to Assistive Technologies and Smart Environments; Cognitive Computing for Augmented Human Intelligence; Computer Poker and Imperfect Information; Discovery Informatics; Incentives and Trust in Electronic Communities; Intelligent Cinematography and Editing; Machine Learning for Interactive Systems: Bridging the Gap between Perception, Action and Communication; Modern Artificial Intelligence for Health Analytics; Multiagent Interaction without Prior Coordination; Multidisciplinary Workshop on Advances in Preference Handling; Semantic Cities — Beyond Open Data to Models, Standards and Reasoning; Sequential Decision Making with Big Data; Statistical Relational AI; and The World Wide Web and Public Health Intelligence. This article presents short summaries of those events.
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Fathun, Laode Muhamad. "Paradiplomacy in Creating Regional Competitiveness: Case Study of Jember Regency." Indonesian Perspective 6, no. 2 (November 16, 2021): 166–86. http://dx.doi.org/10.14710/ip.v6i2.43542.
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This paper describes the paradiplomacy of the Jember Regency. This paper shows that the Jember Regency’s paradiplomacy through city diplomacy can act as an actor who can cooperate with countries such as Japan and Canada in various fields in order to be a safe and comfortable regency. In doing so, the local government seeks to create international connections through sister cities and smart cities. This effort is a strategy to enter the digital era, which demands more innovative and creative regions. Jember Regency uses a conservative type of paradiplomacy which in line with the Ministry of Foreign Affairs as the foreign relations coordinator. Thus, the relationship built is in the form of a joint coordinator formula and parallel harmony between the capital city and the local government. In addition, educational cooperation was conducted by the University of Jember as a form of soft power to introduce many foreigners’ artistic identity, values, and local culture.
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Mahdianpari, Masoud, Jean Elizabeth Granger, Fariba Mohammadimanesh, Sherry Warren, Thomas Puestow, Bahram Salehi, and Brian Brisco. "Smart solutions for smart cities: Urban wetland mapping using very-high resolution satellite imagery and airborne LiDAR data in the City of St. John's, NL, Canada." Journal of Environmental Management 280 (February 2021): 111676. http://dx.doi.org/10.1016/j.jenvman.2020.111676.
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Perger, Alja. "Organic Waste Management in Canada: Building a Sustainable Circular Economy." Mednarodno inovativno poslovanje = Journal of Innovative Business and Management 11, no. 1 (May 15, 2019): 84–92. http://dx.doi.org/10.32015/jimb/2019-11-1-9.
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North America is a big consumer and consequently a big producer of waste. For the purpose of this project, we were primarily interested in collecting information in North America, focusing on Quebec primarily. The main research question was risen up during the fieldwork and assistance with the Canadian company. It clearly presents the enterprise readiness for obtaining a smart solution on organic/food waste problem. It is believed, how organic/food waste can be a resource of a high value. There is a capacity of creating a new path, where organic/food waste could become the important as plant/field nutrient supply. The circular approach to organic waste management is urgently needed in a way how the organic waste should be reduced and returned as productive resource input into our economy.
The paper presents a new value towards a sustainability process that Canada is building at the moment. It represents the innovative approach, which is highly accepted in some cities in Quebec with the obtained pilot projects and excellent results. This paper is not only a simple research paper, but it is also the very important original innovative document which can be highly used on the level of each municipality, region and federal level.
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Viallard, Alexis, Martin Trépanier, and Catherine Morency. "Assessing the Evolution of Transit User Behavior from Smart Card Data." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 4 (April 2019): 184–94. http://dx.doi.org/10.1177/0361198119834561.
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There is a huge potential for exploiting information centered on individual transit users’ behavior through longitudinal smart card data. This is particularly true for cities like Gatineau, Canada, where the bus system serves passengers with different travel patterns. Understanding the evolution of these patterns marks an important point in improving transit demand forecasting models. Indeed, better models can help transit planners to create optimized networks. This paper proposes a comparison of a traditional and an experimental methodology aiming to identify the evolution of travel structure among transit users. These methodologies are based on the clustering of multi-week travel patterns derived from a large sample of smart card transactions (35.4 million). Representing users’ behavior, these patterns are constructed using the number of trips made by every card on each day of a week. Behavior vectors are defined by seven components (one for each day) and are clustered using a K-means algorithm. The experimental week-to-week method consists in clustering the population on each week, while using the clustering results from the previous week as seed. This latter approach makes it possible to observe the evolution of users’ behaviors and also has a better clustering quality in a similar computation time than the traditional method.
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Xu, S., S. Li, R. Wen, and W. Huang. "TRAFFIC EVENT DETECTION USING TWITTER DATA BASED ON ASSOCIATION RULES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W5 (May 29, 2019): 543–47. http://dx.doi.org/10.5194/isprs-annals-iv-2-w5-543-2019.
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<p><strong>Abstract.</strong> Social media platforms allow millions of people worldwide to instantly share their thoughts online. Many people use social media to share traffic related experiences and events with online posts. A large amount of traffic related data can be obtained from these online posts &ndash; especially geosocial media data, where posts are tagged with geolocation information such as coordinates or place names. By extracting traffic events from geosocial media data, drivers can adapt to changing traffic conditions, while traffic management departments can propose timely and effective plans to improve traffic conditions. Most of the existing studies query traffic-related information based on a list of single keywords, which result in large amounts of noisy data &ndash; negative data containing one or more traffic-related keywords, but do not actually represent real-world traffic events. This paper aims to filter noisy data by mining association rules among words in positive data containing messages representing traffic events. Messages are more likely to be true traffic events if they follow the co-occurrence pattern of words mined from positive samples. A case study was conducted in Toronto, Canada using Twitter data. The tweets queried by the association rules were classified into non-traffic event, traffic accidents, roadwork, severe weather conditions, and special events with an 85% accuracy based on supervised machine learning methods. Compared with hourly average travel speed data, 81% of detected events were identified as real-world traffic events. This research sheds light on traffic condition monitoring in smart transportation platforms, which plays an important role for smart cities.</p>
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Alqaed, Saeed, Jawed Mustafa, Kevin P. Hallinan, and Rodwan Elhashmi. "Hybrid CHP/Geothermal Borehole System for Multi-Family Building in Heating Dominated Climates." Sustainability 12, no. 18 (September 20, 2020): 7772. http://dx.doi.org/10.3390/su12187772.
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A conventional ground-coupled heat pump (GCHP) can be used to supplement heat rejection or extraction, creating a hybrid system that is cost-effective for certainly unbalanced climes. This research explores the possibility for a hybrid GCHP to use excess heat from a combined heat power (CHP) unit of natural gas in a heating-dominated environment for smart cities. A design for a multi-family residential building is considered, with a CHP sized to meet the average electrical load of the building. The constant electric output of the CHP is used directly, stored for later use in a battery, or sold back to the grid. Part of the thermal output provides the building with hot water, and the rest is channeled into the GCHP borehole array to support the building’s large heating needs. Consumption and weather data are used to predict hourly loads over a year for a specific multi-family residence. Simulations of the energies exchanged between system components are performed, and a cost model is minimized over CHP size, battery storage capacity, number of boreholes, and depth of the borehole. Results indicate a greater cost advantage for the design in a severely heated (Canada) climate than in a moderately imbalanced (Ohio) climate.
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Filazzola, Alessandro, Garland Xie, Kimberly Barrett, Andrea Dunn, Marc T. J. Johnson, and James Scott MacIvor. "Using smartphone-GPS data to quantify human activity in green spaces." PLOS Computational Biology 18, no. 12 (December 15, 2022): e1010725. http://dx.doi.org/10.1371/journal.pcbi.1010725.
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Cities are growing in density and coverage globally, increasing the value of green spaces for human health and well-being. Understanding the interactions between people and green spaces is also critical for biological conservation and sustainable development. However, quantifying green space use is particularly challenging. We used an activity index of anonymized GPS data from smart devices provided by Mapbox (www.mapbox.com) to characterize human activity in green spaces in the Greater Toronto Area, Canada. The goals of our study were to describe i) a methodological example of how anonymized GPS data could be used for human-nature research and ii) associations between park features and human activity. We describe some of the challenges and solutions with using this activity index, especially in the context of green spaces and biodiversity monitoring. We found the activity index was strongly correlated with visitation records (i.e., park reservations) and that these data are useful to identify high or low-usage areas within green spaces. Parks with a more extensive trail network typically experienced higher visitation rates and a substantial proportion of activity remained on trails. We identified certain land covers that were more frequently associated with human presence, such as rock formations, and find a relationship between human activity and tree composition. Our study demonstrates that anonymized GPS data from smart devices are a powerful tool for spatially quantifying human activity in green spaces. These could help to minimize trade-offs in the management of green spaces for human use and biological conservation will continue to be a significant challenge over the coming decades because of accelerating urbanization coupled with population growth. Importantly, we include a series of recommendations when using activity indexes for managing green spaces that can assist with biomonitoring and supporting sustainable human use.
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Hivon, Julien, and Ryad Titah. "Conceptualizing citizen participation in open data use at the city level." Transforming Government: People, Process and Policy 11, no. 1 (March 20, 2017): 99–118. http://dx.doi.org/10.1108/tg-12-2015-0053.
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Purpose Open data initiatives represent a critical pillar of smart cities’ strategies but remain insufficiently and poorly understood. This paper aims to advance a conceptualization of citizen participation and investigates its effect on open data use at the municipal level. Design/methodology/approach Based on 14 semi-structured interviews with citizens involved in open data projects within the city of Montréal (Canada), the paper develops a research model linking the multidimensional construct of citizen participation with initial use of open data in municipalities. Findings The study shows that citizen participation is a key contributor to the use of open data through four distinct categories of participation, namely, hands-on activities, greater responsibility, better communication and improved relations between citizens and the open data portal development team. While electronic government research often views open data implementation as a top-down project, the current study demonstrates that citizens are central to the success of open data initiatives and shows how their role can be effectively leveraged across various dimensions of participation. Originality/value This paper proposes a conceptualization of citizen participation on open data use at the municipal level. Citizen participation is a found to be a key contributor to the use of open data through four distinct categories of participation, namely, hands-on activities, greater responsibility, better communication and improved relations between citizens and the open data portal development team. This paper demonstrates the critical role of citizen participation in open government.
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Khomenko, Liliia, Anna Rosokhata, and Adam Jasnikowski. "Analysis of territories marketing activities among small and medium business: a bibliometric analysis." Marketing and Management of Innovations 5, no. 4 (2021): 184–95. http://dx.doi.org/10.21272/mmi.2021.4-14.
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The article summarizes the arguments and counterarguments in the scientific discussion on place marketing. The study's main purpose is to understand the nature and features of existing research on marketing areas to determine the direction of future research for both scientists and practitioners. Systematization of literature sources and approaches to solving the problem of marketing areas suggests that many studies in this area require a synthesis of existing research. The urgency of solving this scientific problem is that although the use of marketing in public administration has intensified in recent years, there are many problems in this area. The research of place marketing was carried out in the following logical sequence: determination of the impact of the authors, journals, and articles on territorial marketing, keyword analysis, identification of marketing clusters, visualization of scientific literature on place marketing. The study covers 1970-2021. The research object is 1611 relevant publications published in various scientific sources. The most influential journals were found to be the Journal of Business Research, Tourism Management and Marketing Theory. The most cited authors were Kavaratzis M. and Warnaby G. Most of the articles have been published by researchers from the USA, England, Italy, Canada, the Netherlands, Germany, Australia, and France. Eight key clusters were identified in the marketing of territories: politics, tourism, model, identity, place branding, residents, framework, city brand. In the last five years, most research has been devoted to placing brands, destination marketing, geographies, politics, culture, place branding, identity, tourism, involvement, governance, impact, smart city, loyalty, community. Areas of future research could include destination brand, technology, regeneration, legitimacy, experiences, word-of-mouth, attitude, reflections, memory, inequity of cities, inclusive place branding, brand equity, place attachment, place identity, and others. It is also recommended to focus on city-twinning, sister city, municipal cooperation. The study results could be helpful for companies involved in developing the brand of territories, local authorities for the development of place marketing, and scientists researching place marketing.
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Spicer, Zachary, Nicole Goodman, and Nathan Olmstead. "The frontier of digital opportunity: Smart city implementation in small, rural and remote communities in Canada." Urban Studies, September 4, 2019, 004209801986366. http://dx.doi.org/10.1177/0042098019863666.
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Studies of ‘smart cities’ in Canada primarily focus on large cities but not small, rural and remote communities. As a result, we have a limited understanding of the incentive structures for smaller, remote and rural communities to pursue smart city development. This knowledge deficit is concerning, since the introduction of technology can hold a number of unique benefits for these communities, including easier connections to the rest of Canada and large urban centres, reputation building, improved service delivery and enhanced opportunities for residents. Drawing upon localised forms of knowledge creation, policy development theories, adoption and local competition literature and primary interviews with private and public officials, we examine the challenges and opportunities of ‘smart city’ implementation through case studies of small and rural municipalities in Annapolis Valley in Nova Scotia and a remote community, Iqaluit, Nunavut. We find that collaboration is essential for rural and remote pursuit of smart city development and is necessary to counteract the limitations of capacity, scale and digital divides. Challenges aside, however, the primary rationale for adoption of smart city technology remains the same regardless of size: enhanced quality of life for residents and sustained community health.
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Cartagena, Rosario G., Charles Victor, Kelley Ross, and Emily Scrivens. "Exploring the Collection and Use of Health Data for Smart Cities Initiatives." International Journal of Population Data Science 5, no. 5 (December 7, 2020). http://dx.doi.org/10.23889/ijpds.v5i5.1565.
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IntroductionICES is an entity in Ontario, Canada that collects and uses the personal health information (PHI) of individuals for evaluation, planning and monitoring of the provincial health system. It currently does not have legal authority to collect PHI from, or disclose PHI to, municipalities for the purpose of supporting evidence-based policymaking and enabling “Smarter Cities”.
Objectives and ApproachTo assess how ICES could allow municipalities to access PHI, while maintaining strong privacy and security data protection, we first: (i) explored the legal data trust model as a vehicle for broader collection and use of municipal data, and (ii) analyzed the regulatory changes and type of framework that would enable broader access and use of PHI by municipalities. Following this and to demonstrate the value of access to ICES data for municipal planning, we identified a case project involving a municipal health stakeholder. Leveraging ICES’ remote access model, two local public health analysts performed analytics on de-sensitized, individual-level data in a secure analytic environment.
ResultsWe determined that a legal data trust is not the appropriate model for the type of data sharing envisioned, but rather, a data governance and ethical use framework complimentary to a new legal regime for Smart Cities would be optimal. In Phase II the local municipal partner was able to identify several use cases for the ICES data that would support local policy making; access to these data was considered a critical enabler to improved evidence-based decision making.
Conclusion / ImplicationsAllowing municipal policy makers to use data under a complimentary framework to a new legal regime, may improve policy and produce direct economic impact for municipalities where evidence needed for decision-making is lacking; representing a practical step forward towards Smart Cities.
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Ashleigh Weeden. "Rural 2.0: Place-Based Rural Community Innovation Systems." Rural Review: Ontario Rural Planning, Development, and Policy 3, no. 1 (March 13, 2019). http://dx.doi.org/10.21083/ruralreview.v3i1.6021.
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We live in an era obsessed with innovation. So much so that in 2016, the Government of Canada began work on a new national ‘Innovation Agenda’ with the following proposition: “Innovation is a Canadian value. It’s in our nature, and now more than ever, it will create jobs, drive growth and improve the lives of all Canadians. It’s how we make our living, compete and provide solutions to the world. We have the talent, the drive, the dedication and the opportunity to succeed. So, what’s next?” However, as every public consultation on the Innovation Agenda took place in a major city and produced initiatives with names like ‘the Smart Cities Challenge,’ it seems like ‘what’s next’ is a national innovation conversation so steeped in unquestioned urbanism that it fails to even acknowledge, let alone include, rural Canadians. This doctoral research project will use a comparative case study approach to investigate the complex relationships at play in place-based rural innovation systems and provide grounded, illustrative narratives for informing public policy.
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Karpińska, Dominika, and Mieczysław Kunz. "Device for automatic measurement of light pollution of the night sky." Scientific Reports 12, no. 1 (October 1, 2022). http://dx.doi.org/10.1038/s41598-022-20624-7.
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AbstractResearch on light pollution of the night sky has been carried out in Toruń, Poland since 2017. Initially, the measurements were conducted within a network of 24 points using a handheld sky quality meter with lens (SQM-L) photometer (Unihedron, Canada). Based on these measurements, the first accurate maps of night sky pollution by artificial light in Toruń have been developed, both in seasonal and annual terms. Using the experience gained and elements of modern technology, a decision was made to construct an automatic network of mobile devices measuring light intensity at night, covering the entire city of Toruń. This paper presents the technical characteristics of the constructed automatic measurement devices that make up the distributed monitoring network and the process of testing and using the devices. The implementation of this project has started in 2020. To accommodate the evolving expectations of different user groups and the observed trends in the concept of Smart Cities, especially those related to the communication between devices of the Internet of Things, LoRaWAN was selected for data transmission. The first stage involved the construction of a prototype of an automatic, portable and cost-effective device, which was subjected to months of field testing under operational conditions. The device was built using off-the-shelf electronic components and a housing that met the requirements for outdoor use. The next stage was to calibrate the device by simultaneously comparing the obtained results with measurements taken using professional SQM devices. This was followed by the preparation of 35 identical devices, which are already operating in the measurement network in the city of Toruń. Elements of the network are prepared in a way that allows for further expansion and makes data available in the form of an application for many recipients.
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"PREFACE." IOP Conference Series: Earth and Environmental Science 1026, no. 1 (May 1, 2022): 011001. http://dx.doi.org/10.1088/1755-1315/1026/1/011001.
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ICSDI 2022 is the most dynamic, informative, inspirational, and innovative event organized by the Engineering College of Prince Sultan University (Riyadh, KSA). The 2022 conference focuses on the State of the Art and Practice in different sustainable development goals (SDGs), as one of the promising and trending Engineering disciplines, this field is still changing rapidly. Along with the diversity of presentations on challenging projects and research, ICSDI 2022 will feature multiple invited speakers on selected topics. The conference will include a wide range of knowledge-enhancing technical and panel sessions, short courses, and workshops. There are around 96 participants attending the conference in the opening ceremony and plenary sessions. They are from the United States, Germany, Canada, India, Brazil, Chile, China, Egypt, Russia, Georgia, Hong Kong and so on. The conference was held in hybrid, both physical and virtual mode due to covid19 restrictions in few countries. Around 18 participants attended in virtual mode. At this conference, we were greatly honored to have outstanding Keynote Speakers and Invited Speakers from different countries. They addressed the audience and shared their knowledge and rich experience in related fields. They are Prof. Dennis D. Truax from Mississippi State University, USA; Mr. Ziyad Alshiha, Group Chief executive of The Saudi Investment Recycling Company (SIRC), Saudi Arabia; Dr. Adam C. BOULOUKOS, The UNDP Resident Representative for the Kingdom of Saudi Arabia; Eng. Turki Bukhari, Vice President, Assets & Facilities Management, Expro, Saudi Arabia; Mr. Raed Albasseet, Chief Environment and Sustainability Officer of the Red Sea Development Company & AMAALA; Eng. Fahad Al Ajlan, President, KAPSARC; Mr. Mark Mirza, Project Leader at Fraunhofer ISC, Germany; Ms. Mayssam Tamim, Assistant Resident Representative; Dr Ahmed Al-Darwish, Deputy Governor for Development, Economic Research & Policy Advocacy; Dr. Ahmad Alwosheel, Assistant Researcher at King Abdulaziz City for Science and Technology (KACST); Eng. Mazin Albahkali, Executive Vice President Strategic Planning and New Business Development, Saudi Electricity Company (SEC), Saudi Arabia; Mr. Bandar Al Blehed Clients Relations Development Head -Saudi Exchange; Dr. Abdullah Alabdulkarem Executive Director of the Enablement Sector at the Government Expenditure and Projects Efficiency Authority (EXPRO); Eng. Waleed AlGhamdi, Associate Director, Smart City & Sustainability; Mr. Turki A. Alrowili, Spokesperson, Public Relations and Communication Director at National Development Fund; Dr. Ameer M. Al-Alwan, Advisory and Training Director, Center for Local Governance. There are 16 sub-sessions during the conference. The tracks of the conference include Manufacturing and Industrial Systems towards Sustainability, Sustainable Construction Technologies and Materials, Energy Sustainability: Challenges and Opportunities, Sustainable Urbanization and Smart Cities, Sustainability and Built Environment, Policies, Regulations and Economic Assessments towards SDGs. Attendees, paper presenters, keynote speakers, scholars and students have benefited in many ways from this conference. We would like to express our great appreciation to the organizers, members of the program committees and reviewers of ICSDI 2022 for their hard work. Without their participation, it would be impossible to hold ICSDI 2022 successfully and ensure the high quality of papers of the conference proceedings. We also would like to express our gratitude to the unbelievable number of authors for contributing their research results to the conference. List of Committees, Statement of Peer Review are available in this pdf.