Arlie Adkins' research focuses on understanding relationships between travel behavior, residential location choice, neighborhood design and active transportation. He has a master’s degree in city planning from UC Berkeley and will soon complete the requirements for a PhD from Portland State University. His dissertation research explores how transportation and accessibility preferences influence housing location decisions and how the built environment of a mover’s new neighborhood influences non-work travel mode adoption. Before graduate school, Arlie worked in the planning department at TriMet (the transit agency for the Portland, Oregon region). See more
The resurgence in popularity of walkable urban neighborhoods is a success story for urban planning efforts that have invested billions of dollars in transportation infrastructure and incentives for multifamily infill housing. But as demand for accessible urban housing locations has increased, many low-income households have been priced out. My research uses survey data from a sample of recent movers in six U.S. cities to examine the extent to which households of different economic means were able to realize preferences for neighborhood accessibility. Findings indicate that lower-income households expressed a similarly strong preferences for neighborhood accessibility relative to other location-related preferences, but were only half as likely as higher income households to have relocated to an accessible neighborhood. Highlighting the financial impact of these differences, lower-income households were twice as likely to have reported an increase in transportation costs at their new home.
Christina Tague's research is focused on the interactions between hydrology and ecosystem processes and, specifically, how eco-hydrologic systems are altered by changes in land use and climate. Much of her work involves developing and using spatial simulation models to integrate data from multiple field-based monitoring studies in order to generalize results to larger watersheds. Reflecting that emphasis, she is one of the principal developers of the Regional Hydro-Ecologic Simulation System (RHESSys), an integrated model of spatially distributed carbon, water, and nitrogen cycling. RHESSys is designed to provide science-based information about spatial patterns of ecosystem health and vulnerability in terms of water quantity and quality. She is currently modeling the impacts of climate change on stream-flow patterns in the western United States and examining how urbanization alters drainage patterns and associated biogeochemical cycling in watersheds in Baltimore, Md., and Southern California.
Mountain snow-dominated catchments span a range of geo-climatic settings that support a broad diversity of ecosystem processes. Common features are temperature limited ecological processes and the importance of snow accumulation and melt. Much of the current research on climate impacts in these systems has focused on spatial-temporal patterns of snow accumulation and melt as important drivers of summer streamflow. Changes in the timing of snow melt however may also have important implications for forest productivity. The physical structure of the catchment – how its geology, soils and topography control the routing of water and distribution of atmospheric controls (radiation, temperature, humidity) -- can influence how shifts in snow accumulation and melt influence ecologic function. We show that modeling these responses requires convolving relatively fine scale information about precipitation and snowmelt response to warming with estimates of subsurface geologic controls on drainage and vegetation water use. Using a coupled process-based model of ecosystem hydrologic and carbon cycling processes, we demonstrate that soil moisture drainage characteristics exert a significant control on how coupled ecologic and hydrologic systems response to spatial and temporal variation in precipitation and temperature. These modeling studies provide an expanded perspective on landscape-level sensitivities to climate warming, and can provide guidance in strategic design of data assimilation and monitoring strategies developed in observation networks like the Critical Zone Observatories.
Ruihong (Ray) Huang is an Associate Professor of Geography of the Department of Geography, Planning, and Recreation, Northern Arizona University (NAU). He received his Ph.D. in Geography from University of Wisconsin-Milwaukee in 2003. Dr. Huang’s research involves GIS data modeling, Internet GIS, online transit trip planners, spatial modeling, and urban transportation-related issues. He was one of the earliest researchers and developers of online transit trip planners. His GIS-based online transit trip planner which was implemented by the Waukesha Metro Transit and Milwaukee County Transit System, WI in 2002 was at least three years earlier than the Google Transit. At NAU, Dr. Huang currently teaches GIS Principles II, The Design, Development, and Applications of Enterprise Geodatabases, Spatial Statistics, and Programming for GIS.