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The spread of COVID-19 pandemic provoked new policies and restrictions, which had an unprecedented impact on urban mobility and traffic on local and global scales. While changes in motorized traffic were investigated and monitored throughout the recent pandemic crisis in many cities around the world, not much was done on the changes in pedestrian street-traffic and walking patterns during this time. This study aims to identify, quantify, and analyze the changes in pedestrian traffic and walking patterns induced by COVID-19 policies. The "first wave" period of COVID-19 policies in Tel-Aviv, Israel, is used as a case study in this work. The analysis includes over 116 million pedestrian movement records documented by a network of 65 Bluetooth sensors, between 1.2.2020 and 26.7.2020, with a comparison to the equivalent time in 2019 that signifies "normal" pre-COVID-19 conditions. The results show clear correlation between the various COVID-19 policy restrictions and pedestrian count. The shifts to work-from-home and closure of businesses were highly correlated with changes in walking patterns during weekdays, while distinguishing changes in commercial and residential street segments. Nevertheless, while the restrictions dramatically influenced pedestrian movement volume and time of walking, it did not significantly change where people chose to walk, signifying the essentialness of attractive streets, parks and squares for citizens living in urban areas. This study shows how policy affects walking behavior in cities, demonstrating the potential of passive crowdsourced sensing technologies to provide urban planners and decision makers an efficient tool for monitoring and evaluating pedestrian infrastructure implementation in cities.

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The ability to successfully manage disasters is a function of the extent to which lessons are learned from prior experience. We focus on the extent to which lessons from SARS/MERS have been learned and implemented during the first wave of COVID-19, and the extent to which the source affects governance learning: from a polity's own experience in previous episodes of the same disaster type; from the experience of other polities with regard to the same disaster type; or by cross-hazard learning - transferring lessons learned from experience with other types of disasters. To assess which types of governance learning occurred we analyze the experience of four East Asian polities that were previously affected by SARS/MERS: South Korea, Taiwan, Singapore and Hong-Kong. Their experience is compared with that of Israel. Having faced other emergencies but not a pandemic, Israel could have potentially learned from its experience with other emergencies, or from the experience of others with regard to pandemics before the onset of COVID-19. We find that governance learning occurred in the polities that experienced either SARS or MERS, but not cross-hazard or cross-polity learning. The consequences in the 5 polities at the end of the first six months of Covid-19, reflected by the numbers of infected and deaths, on one hand, and by the level of disruption to normal life, on the other, verifies these findings. Research insights point to the importance of modifying governance structures to establish effective emergency institutions and necessary legislation as critical preparation for future unknown emergencies.

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The aim of this study was to evaluate an urban forest intervention program effect on physical activity, healthy eating habits, self-efficacy and life satisfaction (LS) among Israeli at-risk youth. The quasi-experimental study ran from September 2016 to June 2017; participants were randomly selected. There were 76 total study participants: 53 in the intervention and 23 in the control group. Participants ranged in age from 15 to 18 years. Questionnaires were administered to intervention and control groups before and after the intervention. Univariate and multivariable analyses evaluated the intervention effect. Repeated measures analyses of covariance were calculated to assess change in group differences. An increase was found in measures of physical activity in the intervention group (p < 0.001), while no change was noted in the control group. Healthy eating increased in both groups (p = 0.007), with no significant difference between them (p = 0.165). Unhealthy eating decreased significantly in the intervention group (p = 0.002) and increased in the control group (p = 0.007). Self-efficacy increased in the intervention group (p < 0.001), while no change was noted in the control group (p = 0.353). Likewise, LS increased in the intervention group (p < 0.001), while no change was found in the control group (p = 0.657). Findings indicate that the intervention was efficacious in increasing physical activity, healthy eating habits, self-efficacy, and LS. The effectiveness of this intervention among larger samples is warranted in future prospective studies.

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There is evidence that the built environment can promote unhealthy habits which may increase the risk for obesity among adolescents. However, the majority of evidence is from North America, Europe and Australia, and less is known about other world regions. The purpose of this study was to examine how the number of overweight and obese adolescents may vary in relation to the built environment, area socioeconomic status (SES), physical activity (PA) and nutritional home environment. We performed a telephone survey of 904 adolescents ages 15-18 from three different cities in Israel. The questionnaire included: reported PA, sedentary behaviors and nutritional home environment. Body Mass Index (BMI) was attained from records of Maccabi Healthcare Services (MHS). The built environment measures were calculated by Geographic Information System (GIS). Multivariable logistic regression analysis was performed to identify variables associated with adolescents' overweight and obesity. The highest level of overweight and obese adolescents was in Beer Sheva (29.2%). The three cities did not differ in built environment characteristics, PA and sedentary behaviors. In Haifa, a more positive nutritional home environment was reported (p = 0.001). Boys, in all three cities presented higher rates of overweight and obesity (29%). After adjusting for covariates, adolescents' overweight and obesity was associated with built environment measures only in a low SES peripheral city (OR = 0.72; 95% CI: 0.56-0.92), and positively associated with higher level of sedentary behavior in the total sample (OR = 1.23; 95% CI:1.03-1.47). This may imply a much more complex causal pathway between the built environment, SES and obesity than suggested in previous literature.

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Ethnic and socioeconomic segregation levels vary over time and so do the spatial levels of these segregations. Although a large body of research has focused on how residential mobility patterns produce segregation, little is known about how changing mobility patterns translate into temporal and scale variations in sorting. This article develops a methodological framework designed to explore how changing mobility patterns reflect such trends. It introduces a measure of sorting that reflects the extent of disparities among groups in their socio-spatial mobility. Trends in the direction and the extent of sorting can be exposed by computing sorting measures over consecutive periods. The measure is broken down to capture the relative contributions of residential mobility to sorting at hierarchically nested geographical units, for example cities and their constituent neighbourhoods. An empirical demonstration shows that changes in residential mobility patterns affect the magnitude and spatial level of residential sorting, which vary even over the short term.

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Background: At-risk adolescents have been defined as youth who are or might be in physical, mental, or emotional danger. An Urban Forest Health Intervention Program (UFHIP) was formed at a center for at-risk adolescents in Israel, in order to promote physical activity and reduce risky behavior. Objective: To evaluate the intervention's effect on physical activity, smoking, alcohol consumption, psychosomatic symptoms, and life satisfaction. Methods: From 2015 to 2016, at-risk youth were nonrandomly selected to participate in the UFHIP. Questionnaires were administered to both intervention and control groups before and after the intervention. Univariate and multivariable analyses evaluated the intervention's effect. Results: The study participants (n = 53) showed 0.81 more sessions per week of 60 min of physical activity than did the control group (n = 23; p = 0.003). Among the intervention group, smoking frequency reduced from a mean of 2.60 (SD = 1.30) to 1.72 (SD = 1.08), whereas that in the control group increased from 3.17 (1.03) to 3.39 (1.03). In both groups, there was a reduction in alcohol consumption, with a greater change among intervention participants: -1.08 (SD = 1.30), compared with -0.09 (SD = 1.79) in the control group. Conclusions: Findings indicate that the environmental intervention was efficacious in increasing physical activity and reducing risky behaviors among youth. The effectiveness of this intervention among larger samples is warranted in future prospective studies.

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Children's outdoors play (OP) is an important source of physical activity that has been decreasing in recent years due to changes in neighborhood design, parent safety concerns and child sedentary leisure. However, few studies examined such determinants from children's perspectives. This study explores environmental and socio-cultural aspects of children's OP using a qualitative and quantitative approach. Data was collected in two phases: (1) a survey on OP and related variables among 5th and 6th graders (10-12 years old) (n = 573); and (2) a mapping activity and semi-structured interview among a subsample of the survey (n = 80). The most common locations for routine OP were parks (40%) followed by public facilities (26%) and streets (17%). OP was significantly associated with perceived environment, independent mobility and gender, but not with neighborhood type. Inner-city participants reported a higher number and greater variety of OP areas (23 vs. 14). Three main barriers of OP were identified-low quality and poorly maintained play areas, other people in public spaces, and social norms that undermine OP. Thus, in order to encourage routine OP, environmental change to create safe and attractive OP settings should be accompanied by community interventions to enhance social norms that are supportive of OP.

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The literature on environmental walkability to date has mainly focused on walking and related health outcomes. While previous studies suggest associations between walking and spatial knowledge, the associations between environmental walkability and spatial knowledge is yet to be explored. The current study addresses this lacuna in research by exploring children's mental representations of their home-school (h-s) route, vis.

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BACKGROUND: While physical activity (PA) provides many physical, social, and mental health benefits for older adults, they are the least physically active age group. Ecological models highlight the importance of the physical environment in promoting PA. However, results of previous quantitative research revealed inconsistencies in environmental correlates of older adults' PA that may be explained by methodological issues. Qualitative studies can inform and complement quantitative research on environment-PA relationships by providing insight into how and why the environment influences participants' PA behaviors. The current study aimed to provide a systematic review of qualitative studies exploring the potential impact of the physical environment on older adults' PA behaviors. METHODS: A systematic search was conducted in databases of various disciplines, including: health, architecture and urban planning, transportation, and interdisciplinary databases. From 3,047 articles identified in the physical activity, initial search, 31 articles published from 1996 to 2012 met all inclusion criteria. An inductive content analysis was performed on the extracted findings to identify emerging environmental elements related to older adults' PA. The identified environmental elements were then grouped by study methodologies [indoor interviews (individual or focus groups) vs spatial methods (photo-voice, observations, walk-along interviews)]. RESULTS: This review provides detailed information about environmental factors that potentially influence older adults' PA behaviors. These factors were categorized into five themes: pedestrian infrastructure, safety, access to amenities, aesthetics, and environmental conditions. Environmental factors especially relevant to older adults (i.e., access to facilities, green open spaces and rest areas) tended to emerge more frequently in studies that combined interviews with spatial qualitative methods. CONCLUSIONS: Findings showed that qualitative research can provide in-depth information on environmental elements that influence older adults' PA. Future qualitative studies on the physical environment and older adults' PA would benefit from combining interviews with more spatially-oriented methods. Multidisciplinary mixed-methods studies are recommended to establish quantitative relationships complemented with in-depth qualitative information.

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