Performing Department
Landscape Architecture
Non Technical Summary
The purpose of this research is to examine to what extent the quality of the physical environment in rural towns affects people's everyday travel behavior. Almost half of the U.S. adult population lives with chronic diseases, a major cause of morbidity and mortality and the source of 86% of health care spending. Although physical activity decreases the risk of many diseases, barely half of U.S. adults meet the recommendations. Urban environments are positively associated with increased physical activity, particularly increases in active travel (urban form, destination and path availability, connectivity, convenience, streetscape, safety). Although rural populations are less physically active and thus more at risk for lifestyle-related diseases, less is known about the environmental influences on travel behavior in rural areas. The study aims to a) understand residents' perception of active travel and town's walk- and bikeability (natural, built, experiential) and b) guide planning and design professionals, policy-makers and rural communities to take important steps towards health promotion through design and blueprint policy-making strategies. Two towns in Wisconsin will be selected based on similarities in demographic characteristics and differences in lifestyle-related physical health. Data collection methods include a resident questionnaire w/walk-/bikeability scorecard (SPSS quantitative data analysis), a focus group discussion workshop and participant-led town-walks w/interviews and photomapping (Atlas.ti qualitative data analysis). Besides empirical contribution, dissemination materials include website factsheets, journals articles for professionals, and articles in local newspapers. The findings will increase knowledge about the important role the physical environment plays in the promotion of active living in rural towns.
Animal Health Component
60%
Research Effort Categories
Basic
20%
Applied
60%
Developmental
20%
Goals / Objectives
The purpose of the proposed research is to better understand to what extent the quality of the physical environment (natural, built and experiential) in small rural towns in northern climates affects people's active travel and thus their health and wellbeing.Specifically, the goals are to: (1) understand rural residents' experience and perception of environmental quality as it relates to everyday active travel and town walk- and bike-ability (encouraging and hindering factors), (2) provide planners, designers and policy-makers with information that helps them in taking important steps towards health promotion in rural towns through evidence-based strategies, and (3) inform and encourage discussion among rural community members about the importance of improving the physical environment to promote active living habits and thus health and wellbeing in small towns.The objectives attached to the first goal are:1. To develop a classification system of environmental determinants of active travel in rural towns based on a review of relevant, cross-disciplinary research literature. The system is intended to provide an overview of active travel determinants and to adapt measurable indicators previously identified in the literature. It will be used to guide the inventory and analysis of towns' physical environment characteristics in terms of walk- and bikeability and data collection. New variables (determinants and indicators) will be added as they emerge from the data. The classification system will be based on three key categories (natural environment features, built environment features and experiential environment features) each including sub-categories of determinants measured with known units (qualitative/categorical variables: nominal, ordinal or dichotomous and/or quantitative/continuous variables: interval or ratio). For more information see methods.2. To conduct an inventory and analysis of physical environment (natural, built and experiential features) in two small towns in rural Wisconsin. The process will be aimed at assessing characteristics that may affect travel choices and mobility patterns. The methods used for data analysis include GIS data sets, archival information, systematic field observations, text descriptions, and photography.3. To collect data on resident perception of town's walk-/bikeability (attributes that promote or hinder active travel) using quantitative (questionnaire) and qualitative (participant-led town walks including an interview and photomapping and a focus-group discussion workshop) methodological approaches.The objectives attached to the second goal are:To develop a website for the research lab (in construction) where planners, designers and policy-makers have access to study updates/factsheets, journal publications, presentation outlines, policy strategies, and articles in local newspapers etc.To introduce the findings at conferences for planning and design professionals (e.g., ASLA, AIA and APA) and in articles published in professional magazines (e.g., Landscape Architecture Magazine).The objectives attached to the third goal are:To establish apartnership with planning authorities in the target towns.To form a resident working group to participate in a discussion workshop.To publish articles about the study in local newspapers in the target areas.To offer public presentations about how high quality design can positively impact (presentation people's lives through provision of safe, well designed, well maintained and aesthetically pleasing spaces that connect important destinations.
Project Methods
The research paradigm used in this project is a multiple case study approach. Triangulation of data will be achieved through the use of a both qualitative and quantitative data. The following working plans and methods are tied to the previously mentioned goals and objectives.1. The units of analysis are two rural towns in Wisconsin with population of about 2.500. Electronic public health records (EHRs) will be used to identify two counties that differ in population health outcomes (least to most negative) in terms of physical activity and diseases that may be traced directly or indirectly to conditions in the physical environment including injuries, obesity, diabetes, heart disease, and chronic lung disease. The EHRs that will be used to guide the selection of counties are: WI Interactive Statistics on Health (WISH), County Health Rankings and Roadmaps, Survey of the Health of Wisconsin (SHOW), and Wisconsin Assessment of the Social and Built Environment (WASABE).2. Two small towns, one in each county, will then be selected based on a) similarities in population characteristics using American Fact Finder, b) similarities in demographic characteristics using American Fact Finder (age, gender, ethnicity, income, education etc.), and c) similarities in regional/geographic characteristics including commuting distance to a major urban center (using USDA rural-urban commuting area (RUCA)), geographic location (e.g., inland vs. coastal), land cover (prairie, forested etc.) and other regional landscape characteristic (e.g. slope aspect and elevation) and climatic conditions such as temperature, precipitation, wind, and daylight.3. Following the identification of best-fit towns, the municipalities will be contacted to introduce the study, seek partnership and gain access to geographic information systems.4. A classification system of environmental determinants of active travel in rural towns will be developed based on a review of relevant, cross-disciplinary research literature. The system is intended to provide an empirical overview of active travel determinants and associated measurable indicators for walk- and bikeability. Most of the research on active travel has focused on urban settings. Therefore, the classification system will include an overview of variables for urban settings and identification of variables likely to be applicable in rural towns. Besides providing and systematic overview of empirical knowledge, the classification system will be used to guide the inventory and analysis of towns' physical environment characteristics, and development of data collection instruments (questionnaire survey, resident-led town-walks with interview and photomapping and a discussion workshop). New variables (determinants/indicators) will be added as they emerge from the data. The following four key categories will be used to lead the search for appropriate variables. Each includes layers of sub-categories measured with known qualitative or quantitative units (measurable indicators):a. Natural environment features (+/-): climatic (temperature, precipitation, wind, daylight); geographic structure/landform (e.g., location, elevation, topography, slope aspect, spatial characteristics); vegetation (type, coverage); wildlife (type: birds, insects, reptiles, mammals, roaming domestic animals); water (type, area, access to natural elements, natural areas or nature parks.b. Built environment features (+/-): area, density, land-use, housing, spatial structure, streetscape, street amenities, physical safety (traffic volume and speed, surface quality, lighting, crossings, maintenance etc.); availability of destinations (workplaces, basic amenities, public open space, parks and recreational facilities, social spaces, historic sites); accessibility of destinations (location, proximity, path quality, connectivity, convenience).c. Experiential/sensory attributes (+/-): visual (views, aesthetics, spatial qualities), legibility, uniqueness (e.g., interesting natural/cultural features), olfactory (smells), auditory (sounds), tactile (microclimate, textures), kinesthetic (movement), other sensory factors, and sense of place (ambiance, pleasure, friendliness, playfulness).d. Socio-cultural characteristics of outdoor public spaces: usage patterns, number of people, types of activities (social, optional, necessary), group characteristics etc.5. A four-season inventory and analysis of towns' physical environment characteristics (walk- and bikeability) that may affect travel choices and mobility patterns will be conducted using GIS data sets, archival information, systematic field observations, text descriptions and photography. The assessment of walk- and bikeability will be executed in fall, winter, spring and summer to catch possible seasonal differences that may affect travel choice and mobility patterns including temperature, precipitation, weather, flora and fauna, and seasonal cultural activities.6. Data on residents travel patterns and behavior and perception of town's walk-/bikeability (attributes that promote or hinder active travel) will be collected in three phases:a. A random sampling resident questionnaire (adult population) will be designed and distributed in the target towns. The questionnaire will collect data on travel behavior and environmental perception and include walk- and bikeability scorecard to further assess specific environmental determinants on active travel. To control for possible external influences that may also influence active travel, the questionnaire will include sections on individual characteristics (e.g., general health and ability, age, gender, ethnicity, education, income, length of residency, place of work), demographic/household information (e.g., household characteristics, housing type, location of home, access to private car) and socio-cultural factors (e.g., sense of belonging, travel habits, privacy, social safety, social groups, community encouragement, education about health and active living, planning policy). SPSS or another similar statistical software (JMP) will be used to analyze the quantitative data.b. Using a snowballing technique (initiated through town planning officials), interested individuals will be invited to participate in a half an hour participant-led town walk to point out and discuss important features that affect travel choices. Data collection methods include interview field notes (i-Pad) and geo-referenced photographs (GeoJot or other similar mobile field app). The data will be uploaded to ATLAS.ti or another similar qualitative data analysis software that collects, maps and analyzes qualitative data.c. In collaboration with town officials, a resident focus group will be invited to a discussion workshop where participants will identify, map and discuss features that promote or hinder active travel and possible solutions.In the future, it will be possible to use the research model to collect data in other towns inWisconsin, across states and even towns in other northern climate countries to compare to.