Greater Toronto Area Research Articles

A bayesian shared component spatial modeling approach for identifying the geographic pattern of local associations: a case study of young offenders and violent crimes in Greater Toronto Area

Background settingTraditional spatial or non-spatial regression techniques require individual variables to be defined as dependent and independent variables, often assuming a unidirectional and (global) linear relationship between the variables under study. This research studies the Bayesian shared component spatial (BSCS) modeling as an alternative approach to identifying local associations between two or more variables and their spatial patterns.MethodsThe variables to be studied, young offenders (YO) and violent crimes (VC), are treated as (multiple) outcomes in the BSCS model. Separate non-BSCS models that treat YO as the outcome variable and VC as the independent variable have also been developed. Results are compared in terms of model fit, risk estimates, and identification of hotspot areas.ResultsCompared to the traditional non-BSCS models, the BSCS models fitted the data better and identified a strong spatial association between YO and VC. Using the BSCS technique allowed both the YO and VC to be modeled as outcome variables, assuming common data-generating processes that are influenced by a set of socioeconomic covariates. The BSCS technique offered smooth and easy mapping of the identified association, with the maps displaying the common (shared) and separate (individual) hotspots of YO and VC.ConclusionsThe proposed method can transform existing association analyses from methods requiring inputs as dependent and independent variables to outcome variables only and shift the reliance on regression coefficients to probability risk maps for characterizing (local) associations between the outcomes.

Snow as an Indicator of Atmospheric Transport of Anthropogenic Particles (Microplastics and Microfibers) from Urban to Arctic Regions

We report anthropogenic particles (AP) > 100μm, including microplastics and microfibers, from 70 surface snow samples collected from the urban Greater Toronto Area (GTA), remote and sparsely inhabited regions in the Yukon and Northwest Territories, and the unpopulated high Arctic. Concentrations and proportions of particles of anthropogenic origin were conservatively estimated after blank and ‘anthropogenic origin’ corrections were performed based on visual analysis and micro-Fourier transform infrared spectroscopy (µFTIR). AP were dominated by microfibers (95-100%), with variable concentrations across and within regions. Microfibers were distinguished as synthetic, regenerated semi-synthetic, anthropogenically modified cellulosic, and natural cellulosic or proteinaceous. Among microfibers with confirmed anthropogenic origin, most were polyester/PET (8-22%) and semi-synthetic rayon (1-18%), with anthropogenic cellulose comprising a small proportion (3-7%) across all regional areas. Greater diversity of coloured non-fibrous particles (fragments, films and foams) in settled regions (i.e., GTA and Carcross, Yukon) suggests direct input from local sources. Back trajectory analyses performed for days leading up to sample collection showed high frequency transport (>10%) from population centres exceeding 200km distance. Our findings of APs in snow from uninhabited areas support the hypothesis that APs, especially microfibers, undergo long-range atmospheric transport whereby snow can scavenge and deposit APs in remote northern regions.

Rethinking Intergenerational Living as the Ideal Form of Senior Care: Life Course Research with Immigrant Families in Toronto

Canada’s care systems are ill-equipped to support its aging population, and this crisis intertwines with an acute shortage of affordable housing. Immigrants to Canada have a higher propensity to cohabitate multi-generationally, an arrangement that is sometimes romanticized as an ideal form of senior care. This article contributes to scholarship exploring intergenerational cohabitation as a practice of care, using life course research to consider how class and migration timing shape experiences of intergenerational living and senior care. Based on 19 in-depth interviews with immigrant seniors from Latin America and the Caribbean (n=10) and family caregivers (n=9) living in the Greater Toronto Area, this study uncovers two central findings. First, intergenerational living should not be viewed as an ideal form of senior care since (1a) some seniors resist intergenerational living, preferring independence and downtown residence nearer to culturally relevant communities and (1b) cohabitation does not always provide sufficient or better care. Second, access to smooth multigenerational cohabitation is inequitable, as housing arrangements are structured by class and migration timing, with middle-class families who have been in Canada longer facing fewer barriers to positive experiences of intergenerational living, compared to more recent migrants with lower incomes. This article challenges culturally essentializing assumptions about immigrant intergenerational cohabitation and argues that access to affordable housing is a senior care issue.

Modelling household online shopping and home delivery demand using latent class & ordinal generalized extreme value (GEV) models

The surge in e-commerce during the past decade has led to dramatic changes in consumer shopping behaviour. The study applies two Generalized Extreme Value (GEV) family models to investigate households' e-shopping demands. The study proposes a model structure to jointly model ordinal-based choice behaviour with choice-makers' latent class membership. Introducing latent class structure with the OGEV formulation accounts for the relationship between choice-makers heterogeneous preferential groups and their ordinal choice outcomes. Furthermore, the study also applies the Ordered General Extreme Value (OGEV)-Negative Binomial (NB) model, capturing the interplay between consumers' in-store shopping demands and online shopping behaviour. The RUM principle inherited within the OGEV-NB model allows econometric valuation of in-store shopping activity explicitly considering households' e-shopping demands. Both models are empirically estimated using a dataset collected in the Greater Toronto Area (GTA), Canada. The empirical findings and behavioural implications are also discussed.

Religious contestation and Islamophobia among Iranian communities residing in the Greater Toronto area and York region.

Religion is an omnipresent concern for the Iranian community residing in the Greater Toronto Area and York Region (GTA and YR). While the experience of Islamophobia appears to be a unidirectional attitude from the host onto the diasporic community, this research indicates the complexities of Canada's Muslim experience. According to this research, the Iranian Diasporas present an ingroup Islamophobia by expressing anger and hostility toward Iranian Muslim community members. In an attempt to set communal boundaries by restructuring one's ethnic identity, the historical and environmental factors simultaneously influence social interaction between the Iranian Muslim community and other Iranian-Canadians. This paper examines the Iranian religious identity and its relationship with Iranian history, Western Islamophobia, and non-Islamiosity to examine the Iranian Muslims' experience in Canada.

Negotiating University, Fulfilling the Dream: The Case of Black Students

The experiences of Black students in Canadian higher education shed light on the societal and institutional challenges that influence their social and economic aspirations. In today’s societal and economic context, obtaining a postsecondary education degree is not just preferred but essential for securing the employment opportunities that most young people desire. For Black communities in particular, a university degree is often seen as the primary pathway to upward social mobility. However, Black students’ journeys toward higher education are frequently hindered by systemic barriers and institutional challenges. While there is extensive literature detailing the systemic forces that obstruct access to higher education for Black Canadians, there is limited academic focus on how these forces continue to affect Black students once they enter higher education. This article addresses this gap by investigating the educational experiences of Black students in Canadian universities, emphasizing the challenges posed by systemic racism and institutional barriers. Utilizing data from interviews and focus groups with Black undergraduate and graduate students from a university in the Greater Toronto Area (GTA), the study explores how historical and contemporary issues of anti-Black racism shape their academic journeys. It discusses the broader implications of these experiences and highlights the need for comprehensive institutional reforms to create genuinely inclusive and equitable educational environments. By centering the voices of Black students, this research aims to contribute to the ongoing dialog on racial equity in higher education.

Does receipt of social housing impact mental health? Results of a quasi-experimental study in the Greater Toronto Area

Affordable housing is commonly described as an important determinant of health, but there are relatively few intervention studies of the effects of housing on health. In this paper, we describe the results of a quasi-experimental, longitudinal study investigating the impacts of receiving social housing among a cohort of 502 people on waitlists for social housing in the Greater Toronto Area, Canada. Specifically, we sought to determine if adults who received housing were more likely than a control group to show improvements in depression, psychological distress, and self-rated mental health 6, 12 and 18 months after moving to housing. Amongst the participants, 137 received social housing and completed at least one follow-up interview; 304 participants did not receive housing and completed at least one follow-up interview and were treated as a control group (47 people provided data to both groups). The difference-in-differences technique was used to estimate the effect of receiving housing by comparing changes in the outcomes over time in the housed (intervention) group and the group that remained on the waitlist for social housing (control group). Adjusted mixed effects linear models showed that receiving housing resulted in significant decreases in psychological distress and self-rated mental health between the groups. Improvements in self-rated mental health between the groups were observed 6, 12 and 18 months after receiving housing (6 months, +2.9, p <0.05; 12 months, +2.6, p <0.05; 18 months, +3.0, p <0.05). Reductions in psychological distress (-1.4, p <0.05) were observed 12 months after receiving housing. Overall findings suggest that receiving subsidized housing improves mental health over a 6-to-18-month time horizon. This has policy and funding implications suggesting a need to reduce wait times and expand access to subsidized housing.

Capturing Exposure Disparities with Chemical Transport Models: Evaluating the Suitability of Downscaling Using Land Use Regression.

High resolution exposure surfaces are essential to capture disparities in exposure to traffic-related air pollution in urban areas. In this study, we develop an approach to downscale Chemical Transport Model (CTM) simulations to a hyperlocal level (∼100m) in the Greater Toronto Area (GTA) under three scenarios where emissions from cars, trucks and buses are zeroed out, thus capturing the burden of each transportation mode. This proposed approach statistically fuses CTMs with Land-Use Regression using machine learning techniques. With this proposed downscaling approach, changes in air pollutant concentrations under different scenarios are appropriately captured by downscaling factors that are trained to reflect the spatial distribution of emission reductions. Our validation analysis shows that high-resolution models resulted in better performance than coarse models when compared with observations at reference stations. We used this downscaling approach to assess disparities in exposure to nitrogen dioxide (NO2) for populations composed of renters, low-income households, recent immigrants, and visible minorities. Individuals in all four categories were disproportionately exposed to the burden of cars, trucks, and buses. We conducted this analysis at spatial resolutions of 12, 4, 1 km, and 100 m and observed that disparities were significantly underestimated when using coarse spatial resolutions. This reinforces the need for high-spatial resolution exposure surfaces for environmental justice analyses.

Real estate for social purpose: varieties of entrepreneurialism in Toronto’s non-profit housing sector

Non-profit housing providers have faced ongoing pressure from neoliberal restructuring policies since the late twentieth century. In reaction to funding cuts and policies requiring them to become more business-like, housing organisations have become more hybrid, incorporating entrepreneurial logics and practices from the real estate sector. We expand on the concept of hybridity to argue that under certain institutional contexts, non-profits can apply real estate entrepreneurialism towards their social housing missions. Analysing development and acquisition practices of 13 non-profit housing providers in the Greater Toronto Area, we explore how non-profits balance entrepreneurial practices with their commitment to de-commodified housing. Three types of hybrid organisations are identified: large economy-of-scale organisations that prioritise growth and real estate professionalisation; service-focused organisations whose mission statement limits their growth aspirations; and newcomers, whose forays into housing development face both internal capacity limits and criticism from veteran organisations. The variances in hybridisation processes across and within institutional contexts, we find, require a more nuanced theorisation of the longer-term implications of neoliberalisation on social housing. Learning from Toronto’s budding social purpose real estate sector, we identify key resources for entrepreneurial housing non-profits: building sectoral assets, knowledge sharing, risk management, and a balance between organisational diversity and scale.

Filial Piety Discrepancy and Wellbeing among Older Chinese Immigrants Living in Canada: The Role of Acculturation and Living Arrangement

This survey-based, cross-sectional study explored the independent and synergistic effect of filial piety discrepancy (FPD), acculturation, and living arrangement on the psychological, social, and physical wellbeing of older Chinese immigrants living in Canada. A total of 299 older Chinese immigrants were recruited from community organizations in the Greater Toronto Area. Participants completed questionnaires that assessed demographic information, filial piety, living arrangement, acculturation, and three domains of wellbeing. Greater FPD was associated with lower self-reported psychological, social, and physical wellbeing. Co-residence with adult children was also associated with greater psychological wellbeing. Although living arrangement did not moderate the association between FPD and wellbeing, a significant interaction between FPD and acculturation indicated that the association between greater FPD and poorer psychological wellbeing was strongest for those with lower acculturation levels. This study confirms previous associations found between FPD and psychological wellbeing, and further extends this association to social and physical indices of wellbeing. Study findings further highlight the importance of acculturation in the relationship between FPD and wellbeing among older Chinese immigrants.

Optimal Resilience and Risk-Driven Strategies for Pre-Disaster Protection of Electric Power Systems against Uncertain Disaster Scenarios

Pre-disaster protection strategies are essential for enhancing the resilience of electric power systems against natural disasters. Considering the budgets for protection strategies, the dependency of other infrastructure systems on electricity, and the uncertainty of disaster scenarios, this paper develops risk-neutral and risk management models of strategies for pre-disaster protection. The risk-neutral model is a stochastic model designed to maximize the expected value of resilience (EVR) of the integrated system. The risk management model is a multi-objective model prioritizing the minimization of risk metrics as a secondary goal alongside maximizing the EVR. A case study conducted on the energy infrastructure systems in the Greater Toronto Area (GTA) validates the effectiveness of the models. The findings reveal the following: (i) increasing the budget enhances the EVR of the integrated system; however, beyond a certain budget threshold, the incremental benefits to the EVR significantly diminish; (ii) reducing the value of the downside risk often results in an increase in the EVR, with the variation in Pareto-optimal solutions between the two objectives being non-linear; and (iii) whether for the risk-neutral or risk management protection strategies, there are reasonable budgets when considering disaster intensity and the cost of protection measures. The models can help decision-makers to select effective protection measures for natural disasters.

Physicians’ perspectives on COVID-19 vaccinations for children: a qualitative exploration in Ontario, Canada

ObjectivesParents’ decisions to vaccinate their children against COVID-19 are complex and often informed by discussions with primary care physicians. However, little is known about physicians’ perspectives on COVID-19 vaccinations for...

Effectiveness of personalized rehabilitation in adults suffering from persistent concussion symptoms as compared to usual care: a randomized control trial protocol

BackgroundSymptoms reported by patients who sustain a concussion are non-specific. As such, clinicians are better able to manage patients when a standardized clinical exam is performed to sub-type the driver(s) of symptoms. Aerobic exercise and multimodal rehabilitation have consistently shown to be a possibly effective means to manage this population; however, the optimal training prescription is unclear. Thus, there is a need to further examine the effectiveness of personalized rehabilitative treatments. Our primary aim is to evaluate the response to personalized therapy on recovery, as measured by The Rivermead Post-concussion Symptoms Questionnaire (RPQ) when compared to an active control.MethodsWe will conduct a multi-center 12-week case-crossover randomized controlled trial. 50 participants will be recruited from out-patient University Health Network clinics and community-based clinical practices around the greater Toronto area. Participants will be randomized at baseline to Group A: a personalized care program followed by an active control or Group B: an active control followed by a personalized care program. Participants will be included should they be 21 years of age and older and have symptoms that have persisted beyond 4 weeks but less than 1 year. Participants will undergo 6-weeks of care in their respective streams. After 6-weeks, participants will undergo a re-examination. They will then crossover and undertake the alternative treatment for 6 weeks. At the end of 12 weeks, participants will undertake the endpoint examinations. The primary outcome will be the Rivermead Postconcussion Questionnaire (RPQ). The secondary outcomes will be changes in standardized clinical examination, Neck Disability Index (NDI), Patient Health Questionnaire (PHQ-9) and an electroencephalography (EEG) via NeuroCatch™. The statistical analysis to be performed is composed of an adjusted model using an analysis of variance, specifically using an unpaired t-test to test for associations between variables and outcomes.DiscussionGiven the recommendations from reviews on the topic of rehabilitation for adults with persistent concussion symptoms, we are undertaking a controlled trial. The documented high costs for patients seeking care for persistent symptoms necessitate the need to evaluate the effectiveness of a personalized rehabilitative program compared to the current standard of care.Trial registrationClinicalTrials.gov ID: NCT06069700.

Creating Community through Church-based Pollinator Gardening

Abstract Bees for Peace promotes pollinator protection by establishing blooming feeding sites for bees and other pollinators on the grounds of houses of worship. In Canada, the project’s primary aim was to educate people about native bees, invoking positive feelings that moved people to protect these relatively unfamiliar creatures. To do so, I developed fun, educational games and talks on the cultural history of bees, which I presented at numerous churches in the Greater Toronto Area. Despite ongoing challenges posed by the COVID-19 pandemic, the project and its student researchers were able to partner with two churches to plant pollinator gardens. The educational activities that accompanied the care and maintenance of these gardens resulted in individuals in and around the churches experiencing an expanded sense of community as well as a heightened awareness of native pollinators and the desire to protect them.

Health citizenship reveals ‘extra’ work managing biopolitical risk for immigrants in Canada during COVID‐19: A qualitative study

AbstractOne's health security (i.e., the ability to minimize risks and respond to public health threats) is a conferred right of citizenship but individuals construct identities during the process of securing their health. However, how this occurs, in relationship to the state, remains largely implicit or taken‐for‐granted. The Coronavirus Disease 2019 (COVID‐19)' provided a unique opportunity to explore the relationship between oneself and governing social norms of health citizenship. We drew on secondary analysis of data from a previous (published) qualitative descriptive study that was conducted during May to September 2020 of COVID‐19, to explore 72 immigrants' experience (from 21 countries) of health security in the Greater Toronto Area, Canada. Data were collected through semi‐structured interviews and analysed using critical realism. The majority of participants were women. We demonstrate how individuals implicitly engaged in ‘extra’ work—gendered and driven by mechanisms of good citizenship—connected to the will to health, against ethopolitical work to regulate risks, of and for themselves, in public discourse. Public discourse tended to follow racialized hegemonic norms, which also reproduced systemic cultural racism. We argue that empathetic understanding of this process is conducive to enhancing one's resistance to stereotypes, and to bolstering immigrants' resilience to seeking health security during public health emergencies.

Resiliency against food insecurity among the Black population in Scarborough during the COVID-19 pandemic

BackgroundOne of the effects of the COVID-19 pandemic is the increased level of food insecurity, especially during the first wave. Food insecurity is an indication of poverty and results in serious health and social effects. Even though several studies have been conducted to assess the impact of COVID-19, there is a paucity of information on the role of individual community members and local organizations in addressing food insecurity in the province of Ontario, Canada. Consequently, the objective of this study is to examine the role of individuals and community organizations in addressing food insecurity challenges among the Black population in Scarborough in the Greater Toronto Area.MethodsThis qualitative study recruited 20 Black participants from the TAIBU Community Health Center (CHC) located in Scarborough. Furthermore, the study recruited eight nurses and two Black doctors in the Greater Toronto Area (GTA) but only one affiliated with TAIBU. In-depth interviews were used to gather information for analysis. The study used manual coding and NVivo software to analyze the qualitative data.ResultsThe study found that there was a reported incidence of food insecurity among the population but new local food aid organizations sprang up to assist the existing ones in tackling food insecurity. However, the study found that the operations of food aid organizations are not sustainable.ConclusionsDespite the reported cases of food insecurity, local community organizations and individual community members volunteered to support people to boost their resiliency to food insecurity. The findings of the study highlight the role of community organizations in addressing food insecurity during crises including pandemics. Based on the health effects of food insecurity, the study recommends that both federal and provincial governments prioritize food insecurity as a major public health issue.

A Cross-Sectional Study of COVID-19 Knowledge, Attitudes, and Practices Among Black Communities in the Greater Toronto Area.

COVID-19 preventative practices such as hand washing, social distancing, and mask wearing have been identified as ways to prevent the spread of COVID-19. However, social determinants can play a role in the ability of individuals and groups to adhere to recommended COVID-19 preventative practices. A cross-sectional study was undertaken to explore the COVID-19 knowledge, attitude, and practices (KAPs), and information sources used in the adult Black population within the Greater Toronto Area (GTA). An online questionnaire was completed by Black adults living in the GTA. Associations between KAPs, health literacy, and sociodemographic variables were assessed using descriptive tests. A multivariate logistic regression model was used to examine predictors of high preventative practices. Of the 169 respondents, most had high knowledge scores (80.5%), low attitudes (85.2%), and high COVID-19 preventative practices (82.2%). Hotspot status, working from home, and high health literacy were found to be independent predictors of high preventative practices. This study provides new knowledge that advances understanding of the COVID-19 KAPs of Black communities in a Canadian context. Our findings point to the inadequacy of current prevention strategies that focus narrowly on individual actions while overlooking the importance of systemic influences on health.

Fusion of Google Street View, LiDAR, and Orthophoto Classifications Using Ranking Classes Based on F1 Score for Building Land-Use Type Detection

Building land-use type classification using earth observation data is essential for urban planning and emergency management. Municipalities usually do not hold a detailed record of building land-use types in their jurisdictions, and there is a significant need for a detailed classification of this data. Earth observation data can be beneficial in this regard, because of their availability and requiring a reduced amount of fieldwork. In this work, we imported Google Street View (GSV), light detection and ranging-derived (LiDAR-derived) features, and orthophoto images to deep learning (DL) models. The DL models were trained on building land-use type data for the Greater Toronto Area (GTA). The data was created using building land-use type labels from OpenStreetMap (OSM) and web scraping. Then, we classified buildings into apartment, house, industrial, institutional, mixed residential/commercial, office building, retail, and other. Three DL-derived classification maps from GSV, LiDAR, and orthophoto images were combined at the decision level using the proposed ranking classes based on the F1 score method. For comparison, the classifiers were combined using fuzzy fusion as well. The results of two independent case studies, Vancouver and Fort Worth, showed that the proposed fusion method could achieve an overall accuracy of 75%, up to 8% higher than the previous study using CNNs and the same ground truth data. Also, the results showed that while mixed residential/commercial buildings were correctly detected using GSV images, the DL models confused many houses in the GTA with mixed residential/commercial because of their similar appearance in GSV images.

What I say, or how I say it? Ethnic accents and hiring evaluations in the Greater Toronto Area

Abstract: This study investigated accent bias against job applicants with extralocal (non-Canadian) English accents in the Greater Toronto Area. Verbal guises recorded by British, Chinese, German, Indian, Jamaican, and Nigerian women and by Canadian women with at least one parent from these countries were evaluated by forty-eight human resources students, who rated the content of job interview responses and the candidates’ ‘expression’ and ‘employability’, determined what job they should be interviewed for, and provided commentary. Canadian voices were especially privileged in comments on speech. Quantitative analysis of responses reflected bias against extralocal voices. Consequently, we provide recommendations for relevant stakeholders.

What I say, or how I say it? Ethnic accents and hiring evaluations in the Greater Toronto Area: Supplemental Material

What I say, or how I say it? Ethnic accents and hiring evaluations in the Greater Toronto Area: Supplemental Material