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This project will help demonstrate how sustainable ("green") streets contribute to the well-being of a community, including the physical and mental health of older and younger adults, along with the environment and economy. The project will collect data in Portland, OR neighborhoods to answer the following research questions:

Are residents living near sustainable streets more physically active in their neighborhood?

Do residents living near sustainable streets interact with neighbors more and demonstrate higher levels of neighborhood social capital?

What are residents’ opinions of sustainable streets?

Are there variations in responses to sustainable streets by age or other demographics? In particular, how to older adults differ from younger adults?

Does the implementation process and design affect green street outcomes?

Do sustainable streets affect home values?

How do green streets affect stormwater flows, urban heat island, and carbon sequestration in Portland neighborhoods?

The project includes a survey of residents in two neighborhoods with green street features and two control neighborhoods; an environmental assessment of the green street treatments; and an analysis of housing values using a hedonic modeling approach.

The project will be guided by an Advisory council of members of various stakeholder organizations...

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Abstract: Walking and bicycling are being promoted as transportation options that can increase the livability and sustainability of communities, but the automobile remains the dominant mode of transportation in all United States metropolitan regions. In order to change travel behavior, researchers and practitioners need a greater understanding of the mode choice decision process, especially for walking and bicycling.

This presentation will summarize dissertation research on factors associated with walking and bicycling for routine travel purposes, such as shopping. More than 1,000 retail pharmacy store customers were surveyed in 20 San Francisco Bay Area shopping districts in fall 2009, and 26 follow-up interviews were conducted in spring and summer 2010. Mixed logit models showed that walking was associated with shorter travel distances, higher population densities, more street tree canopy coverage, and greater enjoyment of walking. Bicycling was associated with shorter travel distances, more bicycle facilities, more bicycle parking, and greater enjoyment of bicycling. Respondents were more likely to drive when they perceived a high risk of crime, but automobile use was discouraged by higher employment densities, smaller parking lots,...

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Joseph Broach, PhD candidate in Urban Studies, will discuss the results of his research, which models the propensity of children aged 6-16 to walk or bike to parks and school without an adult chaperone, extending existing work on children’s active travel in several ways: 1) focus on travel without an adult, 2) inclusion of school and a non-school destinations, 3) separate walk and bike models, 4) consideration of both parent and child attitudes and perceived social norms, 5) explicit inclusion of household rules limiting walking or bicycling.

The video begins at 1:00.

Abstract: Transportation expert Gabe Klein, former Director of the District Department of Transportation (Washington, DC), Co-Founder of On-the-Fly, and former Regional VP of ZipCar, will be speaking about the future of urban transportation and quality of life. 85% of US citizens live in urban metropolitan areas. People are moving back to the urban cores, and what were once suburbs are now looking more like small cities or urban villages themselves. Given the inevitable demographic and geographic population shifts over the next 30 years, what is transportation going to look like in 2020? 2030? How will we manage the change? Gabe will talk about macro and micro policy and market trends, such as access vs. ownership, the commoditization of transportation, landuse, bicycle/pedestrian shifts, and technology affecting consumer choice.

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Summary: Researchers from the transportation, planning and health fields share the common goal of promoting physically active lifestyle. One challenge that researchers often face is the measurement of physical activity, particularly among children. This is because the sporadic nature of children’s physical activity patterns makes it difficult to recall and quantify such activities. Additionally, children’s lower cognitive functioning compared to adults prevents them from accurately recalling their activities. This presentation will describe the design and application of a novel self-report instrument - the Graphs for Recalling Activity Time (GReAT) - for measuring children’s activity time use patterns. The instrument was applied in a study of children’s risk for obesity and diabetes in a predominately Hispanic community in Milwaukee, WI. Time-use data for two weekdays and one weekend day were collected for various physical and sedentary activities. The data was then assessed against measurements of the children’s cardiovascular fitness, weight status and insulin resistance through exploratory analysis and structured equation modeling. Findings on GReAT’s reliability and new evidence on the impacts of time-use in different activities on children’s risk for...

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