Spatial Access to Sexual Health Clinics Measured Through a Novel Accessibility Score in Toronto, Canada.

BACKGROUND: Understanding spatial access to sexual health services will provide the foundation for future resource planning and allocation. The purpose of this study was to evaluate the potential geographic access to sexual health services in Toronto, Canada, by developing a novel accessibility index to sexual health clinics. METHODS: We created an accessibility index using the 2-step floating catchment area method to quantify neighborhood-level access to sexual health clinics. The index assumed mixed modes of urban travel through walking and public transit, as well as through driving, and was estimated at the census tract level. RESULTS: Census tracts were grouped into quantiles by the estimated accessibility score. Census tracts with higher accessibility scores were characterized as those with greater residential instability and lower dependency and ethnic concentration. The downtown core area has all census tracts categorized as medium, high, or very high (average [SD] score, 1.320 [0.312]), whereas the noncore area has 56.98%, 302 of 530 census tracts categorized as medium, high, or very high (average [SD] score, -0.105 [0.960]). CONCLUSIONS: We demonstrated the benefit of using statistical methods to quantify the geographical access to sexual health services and identified neighborhoods with high and low levels of access. Findings from this study present an overview of the level of spatial access to sexual health clinics in Toronto based on clinic locations in 2018 and can be further used to characterize neighborhoods with a lower level of access and inform policy and planning decisions in the city.

A GPS-Based Framework for Understanding Outdoor Mobility Patterns of Older Adults with Dementia: An Exploratory Study.

INTRODUCTION: An active lifestyle may protect older adults from cognitive decline. Yet, due to the complex nature of outdoor environments, many people living with dementia experience decreased access to outdoor activities. In this context, conceptualizing and measuring outdoor mobility is of great significance. Using the global positioning system (GPS) provides an avenue for capturing the multi-dimensional nature of outdoor mobility. The objective of this study is to develop a comprehensive framework for comparing outdoor mobility patterns of cognitively intact older adults and older adults with dementia using passively collected GPS data. METHODS: A total of 7 people with dementia (PwD) and 8 cognitively intact controls (CTLs), aged 65 years or older, carried a GPS device when travelling outside their homes for 4 weeks. We applied a framework incorporating 12 GPS-based indicators to capture spatial, temporal, and semantic dimensions of outdoor mobility. RESULTS: Despite a small sample size, the application of our mobility framework identified several significant differences between the 2 groups. We found that PwD participated in more medical-related (Cliff's Delta = 0.71, 95% CI: 0.34-1) and fewer sport-related (Cliff's Delta = -0.78, 95% CI: -1 to -0.32) activities compared to the cognitively intact CTLs. Our results also suggested that longer duration of daily walking time (Cliff's Delta = 0.71, 95% CI: 0.148-1) and longer outdoor activities at night, after 8 p.m. (Hedges' g = 1.42, 95% CI: 0.85-1.09), are associated with cognitively intact individuals. CONCLUSION: Based on the proposed framework incorporating 12 GPS-based indicators, we were able to identify several differences in outdoor mobility in PwD compared with cognitively intact CTLs.

Rethinking walkability and developing a conceptual definition of active living environments to guide research and practice.

BACKGROUND: Walkability is a popular term used to describe aspects of the built and social environment that have important population-level impacts on physical activity, energy balance, and health. Although the term is widely used by researchers, practitioners, and the general public, and multiple operational definitions and walkability measurement tools exist, there are is no agreed-upon conceptual definition of walkability. METHOD: To address this gap, researchers from Memorial University of Newfoundland hosted "The Future of Walkability Measures Workshop" in association with researchers from the Canadian Urban Environmental Health Research Consortium (CANUE) in November 2017. During the workshop, trainees, researchers, and practitioners worked together in small groups to iteratively develop and reach consensus about a conceptual definition and name for walkability. The objective of this paper was to discuss and propose a conceptual definition of walkability and related concepts. RESULTS: In discussions during the workshop, it became clear that the term walkability leads to a narrow conception of the environmental features associated with health as it inherently focuses on walking. As a result, we suggest that the term Active Living Environments, as has been previously proposed in the literature, are more appropriate. We define Active Living Environments (ALEs) as the emergent natural, built, and social properties of neighbourhoods that promote physical activity and health and allow for equitable access to health-enhancing resources. CONCLUSIONS: We believe that this broader conceptualization allows for a more comprehensive understanding of how built, natural, and social environments can contribute to improved health for all members of the population.

A pan-Canadian dataset of neighbourhood retail food environment measures using Statistics Canada's Business Register.

BACKGROUND: The objective of this study was to create the Canadian Food Environment Dataset (Can-FED) and to demonstrate its validity. DATA AND METHODS: Food outlet data were extracted from Statistics Canada's Business Register (BR) in 2018. Retail food environment access measures (both absolute and relative measures) were calculated using network buffers around the centroid of 56,589 dissemination areas in Canada. A k-medians clustering approach was used to create categorical food environment variables that were easy to use and amenable to dissemination. Validity of the measures was assessed by comparing the food environment measures from Can-FED with measures created using Enhanced Points of Interest data by DMTI Spatial Inc. and data from a municipal health inspection list. Validity was also assessed by calculating the geographic variability in food environments across census metropolitan areas (CMAs) and assessing associations between CMA-level food environments and CMA-level health indicators. RESULTS: Two versions of Can-FED were created: a researcher file that must be accessed within a secure Statistics Canada environment and a general-use file available online. Agreement between Can-FED food environment measures and those derived from a proprietary dataset and a municipal health inspection list ranged from rs=0.28 for convenience store density and rs=0.53 for restaurant density. At the CMA level, there is wide geographic variation in the food environment with evidence of patterning by health indicators. INTERPRETATION: Can-FED is a valid and accessible dataset of pan-Canadian food environment measures that was created from the BR, a data source that has not been explored fully for health research.

Short run "rebound effect" of COVID on the transport carbon footprint.

The COVID-19 pandemic completely transformed the mobility of cities. The restrictions on movement led to "empty cities" throughout the world, with some environmental effects in terms of clean air and the reduction of CO2 emissions. This research considers how COVID-19 mobility restrictions have affected the carbon footprint of four medium-sized Chilean cities (Coronel, Temuco, Valdivia, and Osorno) that have environmental problems and are highly dependent on motorized systems. The study uses data from 2400 household surveys at three distinct times: pre-pandemic - T0 (winter 2019), the time of implementation of restrictive mobility policies to contain the pandemic - T1 (winter 2020), and six months later when those restrictions were gradually lifted - T2 (summer 2021). The analysis suggests that CO2 emissions actually went up, declining in the winter 2020, but then increasing with the greater use of cars in the summer 2021 due to the temporary effects of commuting to work, ultimately reaching levels higher than the pre-pandemic values, known as the "rebound effect."

Bringing the "Place" to Life-Space in Gerontology Research.

Understanding older adults' relationships with their environments and the way this relationship evolves over time have been increasingly acknowledged in gerontological research. This relationship is often measured in terms of life-space, defined as the spatial area through which a person moves within a specific period of time. Life-space is traditionally reported using questionnaires or travel diaries and is, thus, subject to inaccuracies. More recently, studies are using a global positioning system to accurately measure life-space. Although life-space provides useful insights into older adults' relationships with their environment, it does not capture the inherent complexities of environmental exposures. In the fields of travel behaviour and health geography, a substantial amount of research has looked at people's spatial behaviour using the notion of "Activity Space," allowing for increasing sophistication in understanding older adults' experience of their environment. This manuscript discusses developments and directions for extending the life-space framework in environmental gerontology by drawing on the advancements in the activity space framework.

Association between time-weighted activity space-based exposures to fast food outlets and fast food consumption among young adults in urban Canada.

BACKGROUND: Despite increased attention on retail food environments and fast food consumption, results from previous studies have been inconsistent. Variation in measurement of exposure to retail food environments and the context of the built environment are possible reasons for inconsistencies. The purpose of the current study is to examine the association between exposure to fast food environment and fast food consumption among young adults, and to explore possible associations between built environment and fast food consumption. METHODS: We employed an observational, cross-sectional study design. Cross-sectional surveys were conducted in 2016 and 2017. In a sample of 591 young adults aged 16-30 years in five Canadian cities, we constructed and computed individual-level time-weighted number and ratio of fast food outlets in activity spaces derived from GPS trajectory data. Negative binomial regression models estimated the associations between exposure measures and frequency of fast food consumption (number of times consuming fast food meals in a seven-day period), controlling for built environment characterization and individual-level characteristics. RESULTS: Significant positive associations were found between time-weighted number of fast food outlets and count of fast food meals consumed per week in models using a radius of 500 m (IRR = 1.078, 95% CI: 0.999, 1.163), 1 km (IRR = 1.135, 95% CI: 1.024, 1.259), or 1.5 km (IRR = 1.138, 95% CI: 1.004, 1.289) around GPS tracks, when generating activity spaces. However, time-weighted ratio of fast food outlets was only significantly associated with count of fast food meals consumed when a radius of 500 m is used (IRR = 1.478, 95% CI: 1.032, 2.123). The time-weighted Active Living Environment Index with Transit measure was significantly negatively related to count of fast food meals consumed across all models. CONCLUSIONS: Our study demonstrated associations of time-weighted activity space-based exposure to fast food outlets and fast food consumption frequency in a sample of young adults in urban Canada, and provides evidence of the association between context of built environment and fast food consumption, furthering discussion on the utility of individual-level, activity space-based data and methods in food environment research. These results imply that both food retail composition and activity spaces in urban areas are important factors to consider when studying diets.

The Social Geography of Partner Selection in Toronto, Canada: A Qualitative Description of "Convection Mixing".

The geographic distribution of sexually transmitted infections reflects the underlying social process of sexual partner selection. This qualitative study explored the social geography of partner selection among sexual minority men and used the results to develop a mid-range theory of STI transmission. In-depth interviews with 31 sexual minority men who lived, worked, or socialized in Toronto, Canada, occurred in June and July 2016. Participants were asked how they found sexual partners and reconstructed their egocentric sexual networks for the previous 3 months. Participants described an iterative process of partner selection involving intention (sex versus dating), connecting with community, and selecting a partner based on intersecting partner characteristics (external, internal, and emergent feelings when interacting with potential partners) and personal preferences. Geography influenced partner selection three ways: (1) participant search patterns maximized the number of potential partners in the shortest distance possible; (2) the density of sexual minority men in a participant's community directly impacted participant's social and sexual isolations; and (3) geosexual isolation influenced sexual mixing patterns. Participants described "convection mixing," where assortative urban mixing nested within disassortative suburban mixing resulted in movement from the suburbs to downtown and back to the suburbs. We theorize that convection mixing may be contributing to the persistence of STI epidemics in core and outbreak areas by creating STI reservoirs outside of, and connected to, core and outbreak areas.

Activity space-based measures of the food environment and their relationships to food purchasing behaviours for young urban adults in Canada.

OBJECTIVE: To examine the potential links between activity spaces, the food retail environment and food shopping behaviours for the population of young, urban adults. DESIGN: Participants took part in the Canada Food Study, which collected information on demographics, food behaviour, diet and health, as well as an additional smartphone study that included a seven-day period of logging GPS (global positioning system) location and food purchases. Using a time-weighted, continuous representation of participant activity spaces generated from GPS trajectory data, the locations of food purchases and a geocoded food retail data set, negative binomial regression models were used to explore what types of food retailers participants were exposed to and where food purchases were made. SETTING: Toronto, Montreal, Vancouver, Edmonton and Halifax, Canada. SUBJECTS: Young adults aged 16-30 years (n 496). These participants were a subset of the larger Canada Food Study. RESULTS: Demographics, household food shopper status and city of residence were significantly associated with different levels of exposure to various types of food retailers. Food shopping behaviours were also statistically significantly associated with demographics, the activity space-based food environment, self-reported health and city of residence. CONCLUSIONS: The study confirms that food behaviours are related to activity space-based food environment measures, which provide a more comprehensive accounting of food retail exposure than home-based measures. In addition, exposure to food retail and food purchasing behaviours of an understudied population are described.

Estimated Impact of Emergency Medical Service Triage of Stroke Patients on Comprehensive Stroke Centers: An Urban Population-Based Study.

BACKGROUND AND PURPOSE: The American Stroke Association recommends that Emergency Medical Service bypass acute stroke-ready hospital (ASRH)/primary stroke center (PSC) for comprehensive stroke centers (CSCs) when transporting appropriate stroke patients, if the additional travel time is ≤15 minutes. However, data on additional transport time and the effect on hospital census remain unknown. METHODS: Stroke patients ≥20 years old who were transported from home to an ASRH/PSC or CSC via Emergency Medical Service in 2010 were identified in the Greater Cincinnati area population of 1.3 million. Addresses of all patients' residences and hospitals were geocoded, and estimated travel times were calculated. We estimated the mean differences between the travel time for patients taken to an ASRH/PSC and the theoretical time had they been transported directly to the region's CSC. RESULTS: Of 929 patients with geocoded addresses, 806 were transported via Emergency Medical Service directly to an ASRH/PSC. Mean additional travel time of direct transport to the CSC, compared with transport to an ASRH/PSC, was 7.9±6.8 minutes; 85% would have ≤15 minutes added transport time. Triage of all stroke patients to the CSC would have added 727 patients to the CSC's census in 2010. Limiting triage to the CSC to patients with National Institutes of Health Stroke Scale score of ≥10 within 6 hours of onset would have added 116 patients (2.2 per week) to the CSC's annual census. CONCLUSIONS: Emergency Medical Service triage to CSCs based on stroke severity and symptom duration may be feasible. The impact on stroke systems of care and patient outcomes remains to be determined and requires prospective evaluation.

Estimating peer density effects on oral health for community-based older adults.

BACKGROUND: As part of a long-standing line of research regarding how peer density affects health, researchers have sought to understand the multifaceted ways that the density of contemporaries living and interacting in proximity to one another influence social networks and knowledge diffusion, and subsequently health and well-being. This study examined peer density effects on oral health for racial/ethnic minority older adults living in northern Manhattan and the Bronx, New York, NY. METHODS: Peer age-group density was estimated by smoothing US Census data with 4 kernel bandwidths ranging from 0.25 to 1.50 mile. Logistic regression models were developed using these spatial measures and data from the ElderSmile oral and general health screening program that serves predominantly racial/ethnic minority older adults at community centers in northern Manhattan and the Bronx. The oral health outcomes modeled as dependent variables were ordinal dentition status and binary self-rated oral health. After construction of kernel density surfaces and multiple imputation of missing data, logistic regression analyses were performed to estimate the effects of peer density and other sociodemographic characteristics on the oral health outcomes of dentition status and self-rated oral health. RESULTS: Overall, higher peer density was associated with better oral health for older adults when estimated using smaller bandwidths (0.25 and 0.50 mile). That is, statistically significant relationships (p < 0.01) between peer density and improved dentition status were found when peer density was measured assuming a more local social network. As with dentition status, a positive significant association was found between peer density and fair or better self-rated oral health when peer density was measured assuming a more local social network. CONCLUSIONS: This study provides novel evidence that the oral health of community-based older adults is affected by peer density in an urban environment. To the extent that peer density signifies the potential for social interaction and support, the positive significant effects of peer density on improved oral health point to the importance of place in promoting social interaction as a component of healthy aging. Proximity to peers and their knowledge of local resources may facilitate utilization of community-based oral health care.

Getting groceries during the pandemic: How transit remained important despite the rise of e-delivery.

Background: We model the use of public transit to reach grocery stores and the use of online delivery services to get groceries, before and during the COVID-19 pandemic among people who used transit regularly prior to the crisis. Methods: We draw upon a panel survey of pre-pandemic transit riders in Vancouver and Toronto. We conduct multivariable two-step tobit regression models that predict the likelihood of a respondent using transit as their primary mode for getting groceries before the pandemic (step 1) and then during the pandemic (step 2). Models are conducted for two survey waves, May 2020 and March 2021. We also conduct zero-inflated negative binomial regression models predicting the frequency respondents ordered groceries online. Results: Transit riders over the age of 64 were more likely to use transit to reach groceries before the pandemic and more likely to continue to do so during the pandemic (wave 1, OR, 1.63; CI, 1.24-2.14; wave 2, OR, 1.35; CI, 1.03-1.76). Essential workers were more likely to continue using transit to reach groceries during the pandemic (wave 1, OR, 1.33; CI, 1.24-1.43; wave 2, OR, 1.18; CI, 1.06-1.32). Walking distance to the nearest grocery store was positively associated with using transit to get groceries pre-pandemic (wave 1, OR, 1.02; CI, 1.01-1.03; wave 2, OR, 1.02; CI, 1.01-1.03), and in May 2020 (wave 1, OR 1.01; (1.00-1.02). During the pandemic, people who stopped using transit to get groceries were less likely to have made zero online grocery purchases (wave 1, OR, 0.56; CI, 0.41-0.75; wave 2, OR, 0.62; CI, 0.41-0.94). Discussion: People still physically commuting to work were more likely to still use transit to get groceries. Among transit riders, older adults and those living far walking distances from grocery stores are more likely to use transit to get groceries. Older transit riders and those with higher incomes were also more likely to use grocery delivery services, while female, Black, and immigrant riders were less likely to do so.

The availability and distribution of vaping retailers across Ontario neighbourhoods, 2016-2019.

OBJECTIVES: To characterize the distribution of vaping retailers and examine the association between neighbourhood income and vaping retailer availability in Ontario prior to and after regulatory changes to the vaping market in 2018. METHODS: We quantified vaping access by number of vaping retailers for 19,964 dissemination areas (DAs) in Ontario and percentage of schools near a vaping retailer. We used mixed-effects regression models to examine the associations between vaping access and neighbourhood income in 2018 and 2019. RESULTS: Between 2016 and 2019, the number of vaping retailers in Ontario increased by 22.6% (5999 to 7355), despite a mild drop from 2016 to 2018. In 2019, 59.7% of urban neighbourhoods had one or more vaping retailers within 1000 m of their geographic centre, and 79.4% of elementary, 82.8% of secondary, and 84.2% of post-secondary schools had at least one within 1000 m. Neighbourhood income was associated with access to vaping retailers, with a greater number in low-income regions. In 2019, neighbourhoods in the lowest income quintile had over twice the number of vaping retailers per capita within 1000 m compared to the highest income quintile (adjusted incidence rate ratio 2.40; 95% CI 2.24-2.58). Increases over time in access to vaping retailers did not differ by geographic region, neighbourhood income quintile, or school type. CONCLUSION: We observed a substantial increase in access to vaping retailers in Ontario including proximity to elementary and secondary schools following the 2018 provincial marketing regulations and federal nicotine regulations. Access to vaping was greatest in low-income neighbourhoods and may contribute to established inequities in vaping-related adverse events.

RéSUMé: OBJECTIFS: Caractériser la répartition des détaillants de vapotage et examiner l'association entre le revenu du quartier et la disponibilité des détaillants de vapotage en Ontario avant et après les modifications réglementaires du marché du vapotage en 2018. MéTHODES: Nous avons quantifié l'accès au vapotage selon le nombre de détaillants de vapotage pour 19 964 aires de diffusion (DA) en Ontario et le pourcentage d'écoles à proximité d'un détaillant de vapotage. Nous avons utilisé des modèles de régression à effets mixtes pour examiner les associations entre l'accès au vapotage et le revenu du quartier en 2018 et 2019. RéSULTATS: Entre 2016 et 2019, le nombre de détaillants de vapotage en Ontario a augmenté de 22,6 % (5 999 à 7 355), malgré une légère baisse de 2016 à 2018. En 2019, 59,7 % des quartiers urbains avaient un ou plusieurs détaillants de vapotage à moins de 1 000 m de leur centre géographique, et 79,4 % des écoles élémentaires, 82,8 % des écoles secondaires et 84,2 % des écoles postsecondaires en avaient au moins un détaillant à moins de 1 000 m. Le revenu du quartier était associé à l'accès aux détaillants, avec plus de détaillants dans les régions à faible revenu. En 2019, les quartiers du quintile de revenu le plus bas comptaient plus de deux fois plus de détaillants de vapotage par habitant dans un rayon de 1 000 m par rapport au quintile le plus élevé (rapport de taux d'incidence ajusté 2,40; IC à 95 % 2,24-2,58). Les augmentations au fil du temps de l'accès aux détaillants de vapotage ne différaient pas selon la région géographique, le quintile de revenu du quartier ou le type d'école. CONCLUSION: Nous avons observé une augmentation significative de l'accès aux détaillants de vapotage en Ontario, y compris la proximité des écoles primaires et secondaires à la suite des nouvelles réglementations provinciales sur le marketing et de la réglementation fédérale sur la nicotine en 2018. L'accès au vapotage était le plus élevé dans les quartiers à faible revenu et pourrait contribuer aux inégalités par rapport aux événements indésirables lié au vapotage et tabac.

Integrating coordination of food purchasing into activity space-based food environment research: Toward a household perspective.

Despite the advances in person-based approaches to studying food environments, most studies using these approaches have relied on individual-centered activity space measures and largely ignored cohabiting household members who play crucial roles in shaping an individual's food access, food behaviors, and diet. This can be problematic for completely capturing food environments relevant to an individual and add uncertainties to explorations of how individuals' food environments relate to their food behaviors. This viewpoint discusses the need for, and implications of, considering household members when measuring food access and disentangling the behavioral pathways connecting the food environment to diet. Ultimately, a conceptual framework and potential questions are proposed to integrate household members into food environment research.

Survey-derived activity space-based exposures to fast food outlets and their cross-sectional associations with use of fast food outlets, diet quality and BMI.

There is a need for conceptual and methodological innovation in food environment-health research. We compared different operationalizations of survey-derived activity space exposures to fast food outlets (FFOs) in associations with use of FFO, diet quality and body mass index (BMI). FFO exposure was determined for home, work and a maximum of sixteen other locations reported by 1728 Dutch adults. Considerable differences in count of FFO between locations were found. Adjusted linear regression analyses resulted in small, unexpected associations with use of FFO, diet quality and BMI, whereby the strength of associations differed between exposure measures. Using home and work areas may be a cost-efficient compromise to capture large parts of the exposure to FFOs.

Neighborhood Fast-Food Environments and Hypertension in Canadian Adults.

INTRODUCTION: Hypertension is a leading cause of cardiovascular disease and premature death worldwide. Neighborhoods characterized by a high proportion of fast-food outlets may also contribute to hypertension in residents; however, limited research has explored these associations. This cross-sectional study assessed the associations between neighborhood fast-food environments, measured hypertension, and self-reported hypertension. METHODS: Data from 10,700 adults living in urban areas were obtained from six Canadian Health Measures Survey cycles (2007-2019). Each participant's blood pressure was measured at a mobile clinic six times. Measured hypertension was defined as having an average systolic blood pressure ≥140 or a diastolic blood pressure ≥90 mm Hg or being on blood pressure-lowering medication. Participants were also asked whether they had been diagnosed with high blood pressure or whether they take blood pressure-lowering medication (i.e., self-reported hypertension). The proportion of fast-food outlets relative to the sum of fast-food outlets and full-service restaurants in each participant's neighborhood was obtained from the Canadian Food Environment Dataset, and analyses were conducted in 2022. RESULTS: The mean proportion of fast-food outlets was 23.3% (SD=26.8%). A one SD increase in the proportion of fast-food outlets was associated with higher odds of measured hypertension in the full sample (OR=1.17, 95% CI=1.05, 1.31) and in sex-specific models (women: OR=1.14, 95% CI=1.01, 1.29; men: OR=1.21, 95% CI=1.03, 1.43). Associations between the proportion of fast-food outlets and self-reported hypertension were inconclusive. CONCLUSIONS: Findings suggest that reducing the proportion of fast-food restaurants in neighborhoods may be a factor that could help reduce hypertension rates.

Developing a mobile produce distribution system for low-income urban residents in food deserts.

Low-income households in the contemporary city often lack adequate access to healthy foods, like fresh produce, due to a variety of social and spatial barriers that result in neighborhoods being underserved by full-service supermarkets. Because of this, residents commonly resort to purchasing food at fast food restaurants or convenience stores with poor selections of produce. Research has shown that maintaining a healthy diet contributes to disease prevention and overall quality of life. This research seeks to increase low-income residents' access to healthy foods by addressing spatial constraints through the characterization of a mobile market distribution system model that serves in-need neighborhoods. The model optimally locates mobile markets based on the geographic distribution of these residents. Using data from the medium-sized city of Buffalo, New York, results show that, with relatively few resources, the model increases these residents' access to healthy foods, helping to create a healthier city.

Facing the future of transit ridership: shifting attitudes towards public transit and auto ownership among transit riders during COVID-19.

Public transit agencies face a transformed landscape of rider demand and political support as the COVID-19 pandemic recedes. We explore people's motivations for returning to or avoiding public transit a year into the pandemic. We draw on a March 2021 follow-up survey of over 1,900 people who rode transit regularly prior to the COVID-19 pandemic in Toronto and Vancouver, Canada, and who took part in a prior survey on the topic in May 2020. We investigate how transit demand changes associated with the pandemic relate to changes in automobile ownership and its desirability. We find that pre-COVID frequent transit users between the ages of 18-29, a part of the so-called "Gen Z," and recent immigrants are more attracted to driving due to the pandemic, with the latter group more likely to have actually purchased a vehicle. Getting COVID-19 or living with someone who did is also a strong and positive predictor of buying a car and anticipating less transit use after the pandemic. Our results suggest that COVID-19  may have increased the attractiveness of auto ownership among transit riders likely to eventually purchase cars anyway (immigrants, twentysomethings), at least in the North American context. We also conclude that getting COVID-19 or living with someone who did is a positive predictor of having bought a car. Future research should consider how having COVID-19 transformed some travelers' views, values, and behaviour. Supplementary Information: The online version contains supplementary material available at 10.1007/s11116-022-10344-2.

Who's cooking tonight? A time-use study of coupled adults in Toronto, Canada.

Understanding how coupled adults arrange food-related labor in relation to their daily time allocation is of great importance because different arrangements may have implications for diet-related health and gender equity. Studies from the time-use perspective argue that daily activities such as work, caregiving, and non-food-related housework can potentially compete for time with foodwork. However, studies in this regard are mostly centered on individual-level analyses. They fail to consider cohabiting partners' time spent on foodwork and non-food-related activities, a factor that could be helpful in explaining how coupled partners decide to allocate time to food activities. Using 108 daily time-use logs from seventeen opposite-gender couples living in Toronto, Canada, this paper examines how male and female partners' time spent on non-food-related activities impact the total amount of time spent on foodwork by coupled adults and the difference in time spent on foodwork between coupled women and men. Results show that both male and female partners took a higher portion of foodwork when their partner worked longer. When men worked for additional time, the couple-level duration of foodwork decreased. Without a significant impact on the gender difference in foodwork duration, women's increased caregiving duration was associated with a reduction of total time spent on foodwork by couples. An increase in caregiving and non-food-related chores by men was associated with an increased difference in duration of foodwork between women and men, which helped secure a constant total amount of foodwork at the couple level. These behavioral variations between men and women demonstrate the gender differences in one's responsiveness to the change of partners' non-food-related tasks. The associations found among non-food-related activities and foodwork are suggestive of a need to account for partners' time allocation when studying the time-use dynamics of foodwork and other daily activities.