One in five people in the world are said to have some type of disability. Disability is not merely individuals’ compromised capability in navigating the built environment, but rather the ‘misfit’ of capabilities with how a given living environment is organized. Planning, therefore, has a crucial role to play in responding to the needs of this significant population through changes to the built and social environment. However, discussion on planning theories and practices with a focus on persons with disability (PWD) has been limited to more specific realms of ‘design,’ and precariously absent in broader planning research. This systematic literature review aims to inform potential directions for planning scholarship by exploring the current and historic planning research investigating the needs of PWD. We compiled relevant papers from five prominent English language planning journals, some of which are long-standing (Town Planning Review, 1910–, Journal of the American Planning Association, 1935–). A very limited number of papers (n = 36) on topics related to PWD of any type have been published in the five journals throughout their existence, with even fewer focusing on the population. The subareas of planning these papers addressed include housing, transportation, land use, policy, and urban design. Many papers called for participation by PWD in the planning and decision-making processes, and some recent papers advocated for the production of evidence related to costs of creating accessible infrastructure. A critical look on some disciplinary divides and enhanced roles of planning research would be beneficial.

Background Small-area studies of health inequalities often have an urban focus, and may be limited in their translatability to non-urban settings. Using small-area units representing communities, this study assessed the influence of living in different settlement types (urban, town and rural) on the prevalence of four chronic diseases (heart disease, cancer, diabetes and stroke) and compared the degrees of associations with individual-level and community-level factors among the settlement types. Methods The associations between community-level and individual-level characteristics and prevalence of the chronic diseases were assessed using logistic regression (multilevel and non-multilevel) models. Individual-level data were extracted from the Canadian Community Health Survey (2007–2011). Indices of material deprivation and social isolation and the settlement type classification were created using the Canadian Census. Results Respondents living in towns were 21% more likely to report one of the diseases than respondents living in urban communities even after accounting for individual-level and community-level characteristics. Having dependent children appeared to have protective effects in towns, especially for males (OR: 0.49 (95% CI 0.27 to 0.90)). Unemployment had a strong association for all types of communities, but being unemployed appeared to be particularly damaging to health of males in urban communities (OR: 2.48 (95% CI 1.43 to 4.30)). Conclusions The study showed that those living in non-urban settings, particularly towns, experience extra challenges in maintaining health above and beyond the socioeconomic condition and social isolation of the communities, and individual demographic, behavioural and socioeconomic attributes. Our findings also suggest that health inequality studies based on urban-only settings may underestimate the risks by some factors. Ways to devise meaningful small-area units comparable in all settlement types are necessary to help plan effective provision of chronic disease-related health services and programmes on a regional scale.

Although efforts have been made to articulate rural–urban health inequalities in recent years, results have been inconsistent due to different geographical scales used in these studies. Small-area level investigations of health inequalities will likely show more detailed pictures of health inequalities among diverse rural communities, but they are difficult to conduct, particularly in a small population region. The objectives of this study were: 1) to compare life expectancy at birth for females and males across small-areas classified by locally defined settlement types for a small province in Canada; 2) to assess whether any of the settlement types explains variations in life expectancy over and above the extent of socioeconomic disadvantage and social isolation; and 3) to examine variations in life expectancies within a (larger) area unit used as the basis of health inequality investigations in previous studies.

Globally, cancer is a leading cause of death and morbidity and its burden is increasing worldwide. It is established that medical approaches alone will not solve this cancer crisis. Moreover, while cancer treatment can be effective, it is costly and access to treatment and health care is vastly inequitable. However, almost 50% of cancers are caused by potentially avoidable risk factors and are thus preventable. Cancer prevention represents the most cost-effective, feasible and sustainable pathway towards global cancer control. While much is known about cancer risk factors, prevention programs often lack consideration of how place impacts cancer risk over time. Maximizing cancer prevention investment requires an understanding of the geographic context for why some people develop cancer while others do not. Data on how community and individual level risk factors interact is therefore required. The Nova Scotia Community Cancer Matrix (NS-Matrix) study was established in Nova Scotia (NS), a small province in Eastern Canada with a population of 1 million. The study integrates small-area profiles of cancer incidence with cancer risk factors and socioeconomic conditions, to inform locally relevant and equitable cancer prevention strategies. The NS-Matrix Study includes over 99,000 incident cancers diagnosed in NS between 2001 and 2017, georeferenced to small-area communities. In this analysis we used Bayesian inference to identify communities with high and low risk for lung and bladder cancer: two highly preventable cancers with rates in NS exceeding the Canadian average, and for which key risk factors are high. We report significant spatial heterogeneity in lung and bladder cancer risk. The identification of spatial disparities relating to a community's socioeconomic profile and other spatially varying factors, such as environmental exposures, can inform prevention. Adopting Bayesian spatial analysis methods and utilizing high quality cancer registry data provides a model to support geographically-focused cancer prevention efforts, tailored to local community needs.

Accessible housing is an urgent issue for countries experiencing rapid population aging. For over 20 years the United Kingdom’s (UK) building code (Part M) and Lifetime Homes Standard have been researched as leading practices to increase accessible housing stock and allow older adults to stay in their communities. This review compiles key stakeholder groups’ perspectives on these regulatory tools. Five main themes and ‘lessons learned’ were derived to anticipate potential challenges and inform proactive response for planners and policy makers in Canada and other countries when developing their own accessible housing regulation.