“All the world’s a stage”: A GIS framework for recreating personal time-space from qualitative and quantitative sources

This article presents a methodological model for the study of the space‐time patterns of everyday life. The framework utilizes a wide range of qualitative and quantitative sources to create two environmental stages, social and built, which place and contextualize the daily mobilities of individuals as they traverse urban environments. Additionally, this study outlines a procedure to fully integrate narrative sources in a GIS. By placing qualitative sources, such as narratives, within a stage‐based GIS, researchers can begin to tell rich spatial stories about the lived experiences of segregation, social interaction, and environmental exposure. The article concludes with a case study utilizing the diary of a postal clerk to outline the wide applicability of this model for space‐time GIS research

Examining the Social and Built Environment Factors Influencing Children’s Independent Use of Their Neighborhoods and the Experience of Local Settings as Child-Friendly

Neighborhoods have traditionally served as important settings for children’s independent activities, but use has declined dramatically. Global positioning system (GPS) monitors, activity diaries, annotated maps, and Google Earth–enabled interviews captured the neighborhood perceptions, usage, and independent activity ranges of twenty-three children (nine to twelve years) from London, Canada. While few participants used neighborhood settings on a habitual basis, local parks and homes of nearby friends were important independent destinations. Usage was strongly influenced by positive and negative social conditions, but local environments did not generally cater well to the shifting interests of resident children. Embedding child-friendly affordances through neighborhood planning may improve children’s experience and independent use of local settings

Neighbourhood play on the endangered: examining patterns in children’s local activity and mobility using GPS monitoring and qualitative GIS

Children\u27s time and freedom for independent neighbourhood activity is severely declining, which may be adversely impacting their healthy development. This study integrates GPS activity monitoring and environmental analysis in a geographic information system with activity diaries, annotated maps, surveys, and map-enhanced interviews to conduct a deep pattern analysis of children\u27s habitual neighbourhood behaviour (n = 23; aged 9–13 years) from each an urban and suburban school neighbourhood within London, Canada. Patterns in children\u27s primary activities and settings, independent mobility (IM) levels, and perception and use of neighbourhood affordances are examined. Participants note a diverse range of local independent destinations, but habitually spend little time playing outdoors in neighbourhoods. Local activity related to free time available, perception of activity affordances, and license to travel independently. Social and environmental conditions of children\u27s micro-neighbourhoods influenced independent destinations and domains. Neighbourhood planning should promote diversity of activity affordances and address conditions that support increased IM for youth

Residential Segregation in the Industrializing City: A Closer Look

This article maps and measures several dimensions of residential segregation in Montreal in 1881, thereby adding to our understanding of the social structure of the industrial city. Taking advantage of an unusual historical database—a historical geographic information system (H-GIS)—we locate 17,000 individual households with precision, and evaluate the dissimilarity of neighborhoods along several social dimensions and at various levels of spatial aggregation. The empirical findings suggest that Montreal was highly segregated along lines of ethnic identity as well as socioeconomic status; segregation values increased inversely with size of the spatial unit, but precision of unit boundaries have negligible effect. Coupling the highprecision GIS with a statistical model such as the classic index of dissimilarity lends new power to grasp the scale of phenomena, to inquire into behavioral choices of 19th-century households, and even to challenge our assumptions about the meaning of segregation or integration

Free range kids? Using GPS-derived activity spaces to examine children’s neighborhood activity and mobility

This study examines the neighborhood activity spaces (NAS) of 9- to 13-year-old children (n = 143) from seven schools in London, Canada. Data from Global Positioning System (GPS) loggers worn for 7 days were used to isolate and test measures for children’s pedestrian-based neighborhood activity: the maximum distance traveled from home and relative time spent in neighborhood settings. Descriptive and linear regression analyses examined the influence of individual, perceptual, and environmental factors on neighborhood use and travel. Participants spent a large portion of their out-of-school time (75%) in their NAS. Although traveling far from home on occasion, 94.5% of children’s time on average was spent within a short distance of home; participants spent little of their free time in broader neighborhood settings. School travel mode and independent mobility were among the strongest predictors of both distance traveled and time spent close to home. Perceptions of neighborhood safety, neighborhood type, and nearby land uses also influenced local activity

Comparing children’s GPS tracks with non-objective geospatial measures of exposure to junk food

Various geospatial techniques have been employed to estimate children’s exposure to environmental cardiometabolic risk factors, including junk food. But many studies uncritically rely on exposure proxies which differ greatly from actual exposure. Misrepresentation of exposure by researchers could lead to poor decisions and ineffective policymaking. This study conducts a GIS-based analysis of GPS tracks—‘activity spaces’—and 21 proxies for activity spaces (e.g. buffers, container approaches) for a sample of 526 children (ages 9–14) in London, Ontario, Canada. These measures are combined with a validated food environment database (including fast food and convenience stores) to create a series of junk food exposure estimates and quantify the errors resulting from use of different proxy methods. Results indicate that exposure proxies consistently underestimate exposure to junk foods by as much as 68%. This underestimation is important to policy development because children are exposed to more junk food than estimated using typical methods

A systematic review of food losses and food waste generation in developed countries

The objective of this systematic literature review was to compile and assess food losses and waste estimates, from developed countries, across the food supply chain. The methodology involved systematically identifying studies and extracting, compiling and analysing their estimates of food losses and waste. Of the 55 estimates extracted, from these studies, the most (43·6%) were from the consumption (average 114·3 (kg/capita)/year) part of the food supply chain. On average, total food losses and waste were 198·9 (kg/capita)/year. While this review revealed a high degree of variability of estimates and inconsistent trends for the independent variables: scope of food waste, geography and study methodologies; food waste generation, at the consumption part of the food supply chain, was significantly higher for North American compared with European estimates (p = 0·003); and significantly higher (p = 0·030) for indirect than direct estimates. Similarly, total food waste generation indirect estimates were significantly higher (p = 0·035) than directly measured estimates. To improve the accuracy and precision of food losses and waste estimates, additional research is required to develop and implement a bespoke, weight-based and statistically sound methodology for its direct measurement

Understanding child and parent perceptions of barriers influencing children’s active school travel

Background Physical activity plays a fundamental role in the health and well-being of children. Walking is the most common form of physical activity and the journey to and from school provides an opportunity for children to be active every day. This study examines how child and parent perceptions of barriers to active school travel influences children’s behaviour. Methods Participants were recruited from 48 elementary schools in Southwestern Ontario, Canada. The study sample includes 1296 children (ages 9–14 years) who live within walking distance of their school, defined as 1.6 km network distance. Chi-square analysis examined differences between child and parent perceptions of barriers to active school travel. Logistic regression models examined how parent and child perceptions of barriers influence active school travel behaviour, while controlling for key intrapersonal, interpersonal, and physical environment factors. Results The results indicate that there are significant differences in how parents and children perceive barriers to active school travel. Model results find older children, children without siblings, households with no vehicles, and children who live closer to school are most likely to use active school travel. Parent perceptions of barriers are found to have a greater influence on children’s active school travel behaviour than children’s perceptions. Different perceptions of barriers influence active school travel to school compared to returning home from school. Conclusions Child and parent perceptions of barriers to active school travel differ and have different impacts on children’s travel behaviour. Understanding how child and parent perceptions of barriers differ can help policymakers and practitioners develop specialized interventions aimed at increasing children’s use of active school travel and children’s overall physical activity. Interventions used to promote active school travel should focus on safety, as well as perceptions of distance to break parental habits of routinely driving their children to school. Overall, this study highlights the importance of considering both child and parent perceptions to create a safe and accessible environment to allow for an increase in active school travel behaviour among elementary school children who live within walking distance of their school

Correlates of Lifetime and Past Month Vape Use in a Sample of Canadian University Students

Introduction: This study examines correlates of lifetime (ie, ever vaped) and past month vape use among students aged 17 to 19 years, 20 to 25 years, and 26+ years from Western University in London, Ontario. The secondary objective is to assess lifetime and past month vape use among students not of legal age to purchase vaping products in Ontario (ie, those 17 to 18 years only). Methods: Using Qualtrics, a cross-sectional survey was sent via email to all students at Western University (N = 38 442), assessing their current and past risk-taking behaviors, mental health, sociodemographic characteristics, as well as questions pertaining to their family structure and socioeconomic background during childhood. Students were asked if they had ever vaped in their lifetime and about past month vape use. Logistic regression models were used to assess correlates of lifetime and past month vape use. Results: The sample consisted of 2626 university students. Compared to those ages 26+ years, teenage university students were 10 times more likely to have vaped in the past month and males were twice as likely as females to have vaped. Alcohol use doubled the odds of vaping in the past month, whereas cigarette, cannabis, or cocaine use approximately tripled the odds. Students who reported many sexual partners were far more likely to have vaped in the past month. Conclusion: Vape use is more common among teenage university students, males, those who drink alcohol, smoke, use cannabis or cocaine, and who report many sexual partners

Incorporating the ‘Theory of Planned Behavior’ into personalized healthcare behavior change research: a call to action

The ‘Theory of Planned Behavior’ (TPB) has been tested and validated in the scientific literature across multiple disciplines and is arguably the most widely accepted theory among behavior change academics. Despite this widespread acceptability, the TPB has yet to be incorporated into personalized healthcare behavior change research. Several prominent personalized healthcare researchers suggest that personalizing healthcare recommendations have a positive impact on changes in lifestyle habits. However, research in this area has demonstrated conflicting findings. We provide a scientific and theoretical basis to support a proposed expansion of the TPB to include personalization, and call to action-personalized healthcare behavior change researchers to test this expansion. Specific recommendations for study design are included