Urban sprawl, smart growth, and deliberative democracy

Environmental and Economic Factors of Migration from Urban to Rural Areas: Evidence from Poland

The net migration rate is highly diversified and noticeable chiefly in municipalities directly adjacent to large cities. This trend is still maintained in Poland and is now becoming even more visible than previously. Most of the studies conducted to date have not focused on extracting economic and environmental factors or determining the role of individual factors in those decisions. Furthermore, they have not analysed the issue of differences in motives and directions of migration. Thus, the aim of the research was to establish the factors that determine contemporary migrations from the city to suburban areas and to outline the role of economic and environmental factors. For this purpose, 164 interviews were conducted with individuals who had migrated from the city to the countryside surrounding one of the most important urban centres in Central Europe—Wrocław. In the research, the multiple snowball sampling technique was used. It was found that the factors with the most significant impact on the decision to move from the city to the countryside were those of an environmental nature, whereas the selection of a specific location (village) was to a greater extent determined by economic factors. Compared to their previous place of residence, the respondents most positively rated the environmental benefits of living in the countryside, whereas economic factors, especially insufficient sewage and energy infrastructure, in addition to poor services and transport, were downvoted. The results therefore imply the need for better planning of suburban settlement patterns that takes account of the availability and development of the infrastructure network. The settlement dispersion, as shown through spatial studies, leads to higher unit costs, which generate higher public services costs and thus increasing local expenditures.

Coupling Cellular Automata and a Genetic Algorithm to Generate a Vibrant Urban Form-A Case Study of Wuhan, China

Enhancing urban vitality is a key goal for both the government and ordinary urban residents, and creating this vitality is emphasized in China's urban development strategy. Enhancing urban vitality through the rational design of urban forms is a leading topic of Western urban research. An urban growth pattern (UGP) reflects the dual characteristics of a static pattern and the dynamic evolution of the external urban form. It affects urban vitality by influencing the spatial allocation of internal structural elements and patterns in the adjacent location. The cellular automata (CA) mode can effectively simulate the aggregation process of urban growth (infilling expansion or edge expansion). However, it does not simulate the diffusion of urban growth, specifically the evolution of outlying expansion. In addition, CA focuses on learning, simulating, and building knowledge about geographic processes, but does not spatially optimize collaborative land use against multiple objectives or model multi-scale land use. As such, this paper applies a coupling model called the "promoting urban vitality model," based on cellular automata (CA) and genetic algorithm (GA) (abbreviated as UV-CAGA). UV-CAGA optimally allocates cells with different UGPs, creating a city form that promotes urban vitality. Wuhan, the largest city in Central China, was selected as a case study to simulate and optimize its urban morphology for 2025. The main findings were as follows. (1) The urban vitality of the optimized urban form scheme was 4.8% higher than the simulated natural expansion scheme. (2) Compared to 2015, after optimization, the simulated sizes of the newly increased outlying, edge, and infilling areas in 2025 were 6.51 km2, 102.69 km2, and 23.48 km2, respectively; these increases accounted for 4.90%, 77.32%, and 17.68%, respectively, of the newly increased construction land area. This indicated that Wuhan is expected to have a very compact urban form. (3) The infilling expansion type resulted in the highest average urban vitality level (0.215); the edge expansion type had the second highest level (0.206); outlying growth achieved the lowest vitality level (0.199). The UV-CAGA model proposed in this paper improves on existing geographical process simulation and spatial optimization models. The study successfully couples the "bottom-up" CA model and "top-down" genetic algorithm to generate dynamic urban form optimization simulations. This significantly improves upon traditional CA models, which do not simulate the "diffusion" process. At the same time, the spatial optimization framework of the genetic algorithm in the model also provides insights related to other effects related to urban form optimization, such as urban environmental security, commuting, and air pollution. The integration of related research is expected to enrich and improve urban planning tools and improve the topic's scientific foundation.

The RxHL study: community-responsive research to explore barriers to medication adherence

This study aims to contribute to the development of community-responsive research approaches by describing the research methods used in the RxHL study and the interprofessional and community-based collaboration that produced them. The mixed-method RxHL study was developed in close consultation with staff and providers at our research site, a federally qualified health center in Springfield, MA. We utilized quantitative methods including chart review, manual pill counts and self-report surveys to assess factors associated with medication adherence in a diverse population of low-income patients with chronic disease. We triangulated these results with findings from qualitative methods that included in-depth interviews, home visits and chronic disease diaries. We used the constant comparison method and interdisciplinary, participatory team meetings to integrate quantitative and qualitative findings. A community-responsive approach facilitated the recruitment and retention of a diverse sample of patients. Self-report surveys revealed the widespread scope of barriers to care such as medication costs and transportation, and limited health literacy among diverse groups. Qualitative research methods offered a deeper understanding of the social and environmental contexts in which medication adherence takes place. Prioritizing the needs of community partners and research participants facilitates rigorous data collection in clinical settings with maximum participation from community partners.

Diabetes and the Built Environment: Evidence and Policies

PURPOSE OF REVIEW

To explore the relationship between the built environment and type 2 diabetes, considering both risk factors and policies to reduce risk. The built environment refers to the physical characteristics of the areas in which people live including buildings, streets, open spaces, and infrastructure.

RECENT FINDINGS

A review of current literature suggests an association between the built environment and type 2 diabetes, likely driven by two key pathways-physical activity and the food environment. Other hypothesized mechanisms linking the built environment and type 2 diabetes include housing policy, but evidence in these areas is underdeveloped. Policies designed to enhance the built environment for diabetes risk reduction are mechanistically plausible, but as of yet, little direct evidence supports their effectiveness in reducing in type 2 diabetes risk. Future work should rigorously evaluate policies meant to reduce type 2 diabetes via the built environment.

Is the decline of active travel to school unavoidable by-products of economic growth and urbanization in developing countries?

BACKGROUND

Economic growth and urbanization may contribute to the decline of active travel to school (ATS). We aim to explain the change of ATS in China between 1997 and 2011 and to predict the prevalence of ATS in China within the next 30 years using various scenario.

METHODS

We developed a system dynamics model to study ATS and the model assumes the prevalence of ATS is determined by the dynamic interaction of four exogenous and eight endogenous variables.

RESULTS

The simulated prevalence of ATS is roughly consistent with empirical data. Economic development and urban sprawl are more influential than urban design and crime in terms of ATS. Under a relatively reasonable scenario, the prevalence of ATS is projected to decrease from 73% in 2011 to 65% in 2014, and the prevalence of childhood overweight & obesity is projected to increase from 24% in 2011 to 34% in 2041. With the maintaining of economic development grow, to control urban sprawl is the most effective measure to promote ATS and decrease childhood obesity.

CONCLUSIONS

Overall, the model enabled us to conduct experiments to test the possible effects of changing one or more factors taking into account their dynamic interrelationship, and our study may provide implications for policy intervention.

Climate differentiates forest structure across a residential macrosystem

The extent of urban ecological homogenization depends on how humans build, inhabit, and manage cities. Morphological and socio-economic facets of neighborhoods can drive the homogenization of urban forest cover, thus affecting ecological and hydrological processes, and ecosystem services. Recent evidence, however, suggests that the same biophysical drivers differentiating composition and structure of natural forests can further counteract the homogenization of urban forests. We hypothesize that climate can differentiate forest structure across residential macrosystems at regional-to-continental spatial scales. To test this hypothesis, forest structure (tree and shrub cover and volume) was measured using LiDAR data and multispectral imagery across a residential macrosystem composed 1.4 million residential parcels contained in 9 cities and 1503 neighborhoods. Cities were selected along an evapotranspiration (ET) gradient in the conterminous United States, ranging from the colder continental climate of Fargo, North Dakota (ET = 464.43 mm) to the hotter subtropical climate of Tallahassee, Florida (ET = 1000.47 mm). The relative effects of climate, urban morphology, and socio-economic variables on residential forest structure were assessed by using generalized linear models. Climate differentiated forest structure of the residential macrosystem as hypothesized. Average forest cover doubled along the ET gradient (0.39-0.78 m² m^-2), whereas average forest volume had a threefold increase (2.50-8.12 m³ m^-2). Forest volume across neighborhoods increased exponentially with forest cover. Urban morphology had a greater effect in homogenizing forest structure on residential parcels compared to socio-economics. Climate and urban morphology variables best predicted residential forest structure, whereas socio-economic variables had the lowest predictive power. Results indicate that climate can differentiate forest structure across residential macrosystems and may counteract the homogenizing effects of urban morphology and socio-economic drivers at city-wide scales. This resonates with recent empirical work suggesting the existence of complex multi-scalar mechanisms that regulate ecological homogenization and ecosystem convergence among cities. The study initiates high-resolution assessments of forest structure across entire urban macrosystems and breaks new ground for research on the ecological and hydrological significance of urban vegetation at subcontinental scale.

Driven to Support: Individual- and County-Level Factors Associated With Public Support for Active Transportation Policies

PURPOSE

To assess predictors of stated support for policies promoting physically active transportation.

DESIGN

Cross-sectional.

SETTING

US counties selected on county-level physical activity and obesity health status.

PARTICIPANTS

Participants completing random-digit dialed telephone survey (n = 906).

MEASURES

Survey measures assessed stated support for 5 policies to promote physically active transportation, access to active transportation facilities, and time spent in a car. County-level estimates included household car dependence and funding for bicycle-pedestrian projects.

ANALYSIS

Multivariable generalized linear mixed models using binary distribution and logit link, accounting for clustering within county.

RESULTS

Respondents supported policies for accommodating bicyclists and pedestrians through street improvements (89%), school active transportation programs (75%), employer-funded active commuting incentives (67%), and allocation of public funding (68%) and tax support (56%) for building and maintaining public transit. Residents spending >2 h/d (vs <0.7 hours) in cars were more likely to support street (odds ratio [OR]: 1.87; confidence interval [CI]: 1.09-3.22) and public transit (OR: 1.85; CI: 1.24-2.77) improvements. Residents in counties investing >$1.6 million in bicycle and pedestrian improvements expressed greater support for funding (OR: 1.71; CI: 1.04-2.83) and tax increases (OR: 1.73; CI: 1.08-2.75) for transit improvements compared to those with lower prior investments (<$276 100).

CONCLUSION

Support for policies to enable active transportation is higher where relevant investments in active transportation infrastructure are large (>$1.6 M), public transit is nearby, and respondents drive >2 h/d.

Canadian policy perspectives on promoting physical activity across age-friendly communities: lessons for advocacy and action

Population ageing combined with physical inactivity has critical implications for the public health of communities in the twenty-first century. In the last decade, the World Health Organization launched the age-friendly cities agenda, aiming to address population ageing through whole-systems, rights-based, health equity-focused approaches. An important intervention for age-friendly communities is modifying built environments to support population-level physical activity. Physical activity can help mitigate impacts of chronic diseases and social isolation on older adults. Need for advocacy and action in this area raises questions of how to develop supportive environments for physical activity across age-friendly community types. In Canada, a substantial proportion of older adults live outside large urban municipalities, for which scant research exists on fostering age-friendly built environments. To this end, we conducted qualitative research involving semi-structured interviews with 21 municipal policy influencers in Alberta, Canada to gather perspectives on development and early implementation of an age-friendly policy framework in the small urban and rural context. Our findings are organised by three main themes providing key lessons for advocacy and action, namelypursuing comprehensive planning,promoting public engagementandprioritising the needs of older adults. This research informs advocacy and action priorities in promoting built environment modification for routine physical activity as part of an age-friendliness agenda for small urban and rural regions of Canada and other countries.

Check the score: Field validation of Street Smart Walk Score in Alberta, Canada

Walk Score® is a proprietary walkability metric that ranks locations by proximity to destinations, with emerging health promotion applications for increasing walking as physical activity. Currently, field validations of Walk Score® have only occurred in metropolitan regions of the United States; moreover, many studies employ an earlier Walk Score® version utilizing straight line distance. To address this gap, we conducted a field validation of the newest, network-based metric for three municipal types along a rural-urban continuum in Alberta, Canada. In 2015, using street-level systematic observations collected in Bonnyville, Medicine Hat, and North Central Edmonton in 2008 (part of the Community Health and the Built Environment (CHBE) project), we reverse engineered 2181 scores with the network Walk Score® algorithm. We computed means, 95% confidence intervals, and t-tests (α = 0.05) for both sets of scores. Applying the Clifford-Richardson adjustment for spatial autocorrelation, we calculated Spearman's Rank Correlation Coefficients (rho, rs) and adjusted p-values to measure the strength of association between the derived scores and original network scores provided by Walk Score®. Spearman's rho for scores were very high for Bonnyville (rs = 0.950, adjusted p < 0.001), and high for Medicine Hat (rs = 0.790, adjusted p < 0.001) and North Central Edmonton (rs = 0.763, adjusted p < 0.001). High to very high correlations between derived scores and Walk Scores® field validated this metric across small, medium, and large population centres in Alberta, Canada. However, we suggest caution in interpreting Walk Score® for planning and evaluating health promotion interventions, since the strength of association between destinations and walking may vary across different municipal types.

Residential proximity to urban centres, local-area walkability and change in waist circumference among Australian adults

Consistent associations have been observed between macro-level urban sprawl and overweight/obesity, but whether residential proximity to urban centres predicts adiposity change over time has not been established. Further, studies of local-area walkability and overweight/obesity have generated mixed results. This study examined 4-year change in adults' waist circumference in relation to proximity to city centre, proximity to closest suburban centre, and local-area walkability. Data were from adult participants (n=2080) of a cohort study on chronic conditions and health risk factors in Adelaide, Australia. Baseline data were collected in 2000-03 with a follow-up in 2005-06. Multilevel regression models examined in 2015 the independent and joint associations of the three environmental measures with change in waist circumference, accounting for socio-demographic covariates. On average, waist circumference rose by 1.8cm over approximately 4years. Greater distance to city centre was associated with a greater increase in waist circumference. Participants living in distal areas (20km or further from city centre) had a greater increase in waist circumference (mean increase: 2.4cm) compared to those in proximal areas (9km or less, mean increase: 1.2cm). Counterintuitively, living in the vicinity of a suburban centre was associated with a greater increase in adiposity. Local-area walkability was not significantly associated with the outcome. Residential proximity to city centre appears to be protective against excessive increases in waist circumference. Controlled development and targeted interventions in the urban fringe may be needed to tackle obesity. Additional research needs to assess behaviours that mediate relationships between sprawl and obesity.

Effects of the Residential Environment on Health in Japan Linked with Travel Behavior

This paper aims to clarify how the residential environment is associated with overall health-related quality of life (QOL) via active travel (walking and cycling), by reflecting the influence of different trip purposes in Japan. The health-related QOL includes physical, mental, and social dimensions. For this study we implemented a questionnaire survey in 20 cities in Japan in 2010 and obtained valid answers from 1202 respondents. The residential environment is defined in terms of distances to and densities of different daily facilities extracted from both the survey and external GIS data. We found that the effects of residential environment on active travel behavior are mixed and limited, depending on types of trip makers. Unexpectedly, travel behavior has no direct effects on the health-related QOL. The residential environment, which is only observed indirectly via lifestyle habits for commuters, has limited effects on health. As for noncommuters, neither their travel behavior nor the residential environment influences their health-related QOL.

Walkability, transit access, and traffic exposure for low-income residents with subsidized housing

OBJECTIVES

We assessed the spatial distribution of subsidized housing units provided through 2 federally supported, low-income housing programs in Orange County, California, in relation to neighborhood walkability, transit access, and traffic exposure.

METHODS

We used data from multiple sources to examine land-use and health-related built environment factors near housing subsidized through the Housing Choice Voucher Program and the Low Income Housing Tax Credit (LIHTC) program, and to determine these patterns' associations with traffic exposure.

RESULTS

Subsidized projects or units in walkable, poorer neighborhoods were associated with lower traffic exposure; higher traffic exposure was associated with more transit service, a Hispanic majority, and mixed-use areas. Voucher units are more likely than LIHTC projects to be located in high-traffic areas.

CONCLUSIONS

Housing program design may affect the location of subsidized units, resulting in differential traffic exposure for households by program type. Further research is needed to better understand the relationships among subsidized housing locations, characteristics of the built environment, and health concerns such as traffic exposure, as well as which populations are most affected by these relationships.