Social decision-making for high consequence, low probability occurences /

Oct. 1978.

Techniques for needs assessment : state experiences and suggested approaches in response to Title XX of the Social security act /

Companion vol. to the author's State experiences in social services planning.

Social consequences of accidents. Final report.

National Highway Traffic Safety Administration, Office of Program Planning, Washington, D.C.

Guidelines for assessing the environmental impact of public mass transportation projects. Notebook 2: social impacts. Final report.

Transportation Department, Office of Environment and Safety, Washington, D.C.

Social services in international perspective : the emergence of the sixth system /

"SRS 76-05704."

Social security rulings on Federal old-age, survivors, disability, health insurance, supplemental security income, and black lung benefits.

Reproduces in full part I of all quarterly issues for the year. The rulings contain precedential case decisions, statements of policy and interpretations of titles II, XVI, and XVIII of the Social security act, title IV of the Federal coal mine health and safety act of 1969, as amended, and related laws.

Impact of air attack in World War II: selected data for civil defense planning.

Division 1 "prepared under Subcontract 669-1 with Stanford Research Institute [by] Lehigh University, the Institute of Research."

State of Illinois Environmental Protection Agency 208 water quality management planning program.

Cover and spine title: Water quality management plan.

Social security data : an aid to manpower evaluation /

"November 1970."

Planning by objectives : a manual for student community service program coordinators.

Mode of access: Internet.

Online Video as a Tool for Planning Education and Engagement: A Content Analysis of U.S. City Planning Departments’ YouTube Channels

Thesis (Master's)--University of Washington, 2016-06

Social and behavioural determinants of early childhood caries

Background: To investigate the association between selected social and behavioural (infant feeding and preventive dental practices) variables and the presence of early childhood caries in preschool children within the north Brisbane region. Methods: A cross sectional sample of 2515 children aged four to five years were examined in a preschool setting using prevalence (percentage with caries) and severity (dmft) indices. A self-administered questionnaire obtained information regarding selected social and behavioural variables. The data were modelled using multiple logistic regression analysis at the 5 per cent level of significance. Results: The final explanatory model for caries presence in four to five year old children included the variables breast feeding from three to six months of age (OR=0.7, CI=0.5, 1.0), sleeping with the bottle (OR=1.9, CI=1.5, 2.4), sipping from the bottle (OR=1.6, CI=1.2, 2.0), ethnicity other than Caucasian (OR=1.9, CI=1.4, 2.5), annual family income $20,000-$35,000 (OR = 1.7, CI=1.3, 2.3) and annual family income less than $20,000 (OR=2.1, CI=1.5, 2.8). Conclusion: A statistical model for early childhood caries in preschool children within the north Brisbane region has been constructed using selected social and behavioural determinants. Epidemiological data can be used for improved public oral health service planning and resource allocation within the region.

A way forward for land-use planning to achieve policy goals by using spatial modelling scenarios

This paper investigates how demographic (socioeconomic) and land-use (physical and environmental) data can be integrated within a decision support framework to formulate and evaluate land-use planning scenarios. A case-study approach is undertaken with land-use planning scenarios for a rapidly growing coastal area in Australia, the Shire of Hervey Bay. The town and surrounding area require careful planning of the future urban growth between competing land uses. Three potential urban growth scenarios are put forth to address this issue. Scenario A ('continued growth') is based on existing socioeconomic trends. Scenario B ('maximising rates base') is derived using optimisation modelling of land-valuation data. Scenario C ('sustainable development') is derived using a number of social, economic, and environmental factors and assigning weightings of importance to each factor using a multiple criteria analysis approach. The land-use planning scenarios are presented through the use of maps and tables within a geographical information system, which delineate future possible land-use allocations up until 2021. The planning scenarios are evaluated by using a goal-achievement matrix approach. The matrix is constructed with a number of criteria derived from key policy objectives outlined in the regional growth management framework and town planning schemes. The authors of this paper examine the final efficiency scores calculated for each of the three planning scenarios and discuss the advantages and disadvantages of the three land-use modelling approaches used to formulate the final scenarios.