Problem: Childhood obesity has been an epidemic particularly in high-income countries. There is a considerable volume of data and studies depicting the rising number of obese children and adolescents in different countries. As suggested by the literature, physical inactivity is one the main drivers of childhood obesity. This paper addresses the associations of the built environment with physical activity of children in order to find to theoretically facilitate intervention and prevention measures.Literature: There is a large body of literature describing the overall determinants of children’s physical activity. The built environment is one of the influential factors that have been partially examined. Among the physical environment indicators, distance to school has been repeatedly reported to be negatively associated with active travels to school; thus, it indirectly affects physical activity of children. Apart from distance to school, some other built environment indicators have also been less researched, such as population and construction densities, distance to the city center, land use mix, and type of urban fabric (urban, suburban, etc.).Objective: The purpose of this review was to shed light on some of the less-studied areas of the existing literature related to the relationship between the built environment and physical activity of children aged between 3 and 12 years.Method: The English-language publications, majority of which were peer-reviewed journal papers published in recent years, were collected and descriptively analyzed. Two large categories were the backbone of this narrative review: (1) non-school outdoor activities of children that take place in the residential neighborhood and (2) commuting to school and the related interventions such as safe routes to school.Results: Seven areas were synthesized by this review of the literature. Differences in associations of the built environment and physical activity in (1) different types of urban forms and land uses such as urban, suburban, high-density, etc.; (2) different city sizes such as small towns, mid-sized cities, large cities and megacities; (3) different cultures, subcultures and ethnicities in the same city of country, e.g. the Asian minority of London or the Turkish minority of Germany; (4) between perceptions of parents and children and associations with children’s physical activity, e.g. how they perceive safety and security of the neighborhood; (5) associations of the built environment with children’s physical activity in less-studied contexts, e.g. many developing and under-developed countries or eastern European countries; (6) differences in built environment – physical activity associations in different regions of the world, e.g. continents; and finally (7) associations between mobility patterns of parents and their children’s physical activity, for instance, the frequencies of taking public transport or walk as a commute mode.Conclusion: Researchers are recommended to focus their less-researched subtopics mentioned under the Results section in accordance with local conditions observed in less-researched contexts so that measures and interventions are accordingly planned.

In Europe, the share of people aged 65 years and above is expected to increase exponentially, and in 2050, for the first time in human history, the number of older people will be larger than the number of children under the age of 15. Aging is associated with increased vulnerability and dependence on medical care services. For these reasons, providing access to health services to people aged 65 years and over is crucial. From the perspective of social equity, everyone should have the opportunity to access healthcare services equally, but due to economic and geographical issues, achieving this level of equity is challenging. The aim of this study was to fill the gap between scientific and actual practices using an accessibility measure to evaluate urban accessibility to primary healthcare services and to support decision-makers to better allocate resources in local restructuring of welfare policies. The accessibility measure was designed considering both the land use and the transportation components, the local healthcare supply system, and a multimodal transportation network. The methodology was applied to the city of Naples considering Local Health Agency (ASL) healthcare services to the elderly. The ASL is the largest health agency in Europe, consisting of 17 buildings serving nearly 200,000 elderly. The results show that the entire elderly neighborhood population suffers from poor accessibility to primary health services, especially in the city suburbs, and that the methodology could be effectively applied to urban planning strategies to achieve a high quality of life for elderly people. Due to poor dialogue between the authorities, this could help to improve the decision-making process through the lens of social equity.

The present study aimed to investigate different socioeconomic factors as well as the perceptions and travel behaviors associated with urban sprawl in two cities of different sizes in Iran, as a developing country in the Middle East. Four Weighted Least Squares (WLS) regression models were developed for Hamedan and Nowshahr, as examples of large and small cities in Iran, respectively. The findings showed different correlations related to urban sprawl between Iranian cities and high-income countries in terms of socioeconomic and travel behavior determinants. Urban sprawl around home in Hamedan was positively correlated with the number of cars and driving licenses in households, the use of a private car for trips, and less use of public transport. Urban sprawl around homes in Nowshahr was related to an increased number of cars, the use of private cars for non-commuting trips, less sense of belonging to the neighborhood, and lower income. Additionally, urban sprawl around workplaces was correlated with main daily activity, number of non-commuting trips, mode of choice for non-commuting, and residential location choice in Hamedan a swell as monthly income, daily shopping area, frequency of public transport use, quality of recreational facilities, length of time for living in the current home, and commuting distance in Nowshahr.

The determinants of children’s independent school mobility and the contextual discrepancies between these determinants have not been comprehensively investigated in previous studies. It is important to examine these determinants because independent school mobility is associated with children’s physical activity, according to the literature. This paper examined the associations of different groups of variables such as household, mobility, perceptions, and the built environment with independent school mobility of children between 9 and 12 years using a sample of 1304 girls (50.9%) and boys (49.1%) in seven European countries. The sample was analyzed by Multinomial Logistic Regression, Chi-square test of independence, and Proportional Reduction in Error methods. According to the findings, father’s and mother’s commute mode choice, child’s mode choice of commute to school, child’s bike ownership, parent’s perception of safety, parent’s evaluation of bike lane and sidewalk quality, child’s commute distance, number of driving licenses in the household, accessibility of public transport, and population density in the neighborhood and around the school proved to be very strong and significant determinants of children’s independent school mobility in the Europe-wide sample. The comparison of the levels of independent school mobility did not show any significant differences between high-income countries such as Germany, Italy, and the Netherlands, and emerging economies and developing countries like Poland, Greece, Turkey, and Croatia. However, a direct comparison between Poland (emerging economy) (33.6%) and the Netherlands (high-income) (31.7%) revealed significant differences in the level of independent school mobility. This study found the motives for this discrepancy due to the significant difference in bike ownership, the number of household members working outside of the house, household size, commute distances of parents, and driving license possession.

Recently a number of studies have focused on urban sprawl in the Iranian cities and the negative impacts of such development pattern. Although in a general view the phrase ?urban sprawl? is used for fast and sometimes uncontrolled urbanizations, but there are dissimilarities between the urban sprawl in the western societies with the so-called Iranian urban sprawl. This paper discusses these differences as part of five main aspects that are mentioned in the internationally recognized urban sprawl definitions. Suburban sprawl, single-use developments/zoning, disconnected street network, low accessibility of the new developments, and commercial strip development are the aspects that are descriptively discussed as the main differences between the two types of sprawl. The main point of the discussion is that due to the wide range of similarities, which are briefly introduced, the type of the fast outward urban growth that is observed in the periphery of the Iranian cities can be defined as a part of the universal urban sprawl trend. Finally a definition is suggested for explaining urban sprawl in Iran.