Landis, John D
Now showing 1 - 3 of 3
PublicationThe Future of Infill Housing in California: Opportunities, Potential, and Feasibility(2006-01-01) Landis, John D; Hood, Heather; Li, Guangyu; Rogers, Thomas; Warren, CharlesThis article presents a methodology for using county tax assessor records and other geographic information system and secondary source data to develop realistic estimates of community, county, and statewide infill housing potential in California. We first identify the number, acreage, average size, and spatial distribution of vacant and potentially redevelopable parcels within three types of infill counting areas. We then develop a schema for determining appropriate infill housing densities based on transit service availability, local land use mix and character, and initial neighborhood densities. We use this schema to generate local, county, and statewide estimates of infill housing potential. These are then carefully evaluated in terms of their parcel size and financial feasibility, the likelihood that construction will displace existing low-income renters, and the contribution to cumulative overdevelopment. We conclude with a brief discussion of state-level policy changes that would reduce barriers to market-led infill housing construction. PublicationImagining Land Use Futures: Applying the California Futures Model(1995-09-01) Landis, John DThe California Urban Futures Model (or CUF Model) is the first of a new generation of metropolitan planning models designed to help planners, elected officials, and citizen groups create and compare alternative land-use policies. This article explains how the CUF Model works and then demonstrates its use in simulating realistic alternatives for regional and subregional growth policy/planning. Part One explains the design principles and logic of the CUF Model. Part Two presents CUF Model simulation results of three alternatives for growth policy/ land-use planning alternatives for the San Franciso Bay and Sacramento areas. Part Three demonstrates the use of the CUF Model for evaluating alternative agricultural protection and zoning policies at the county, or sub-regional, level. PublicationNew Economy Housing Markets: Fast and Furious - But Different?(2002-01-01) Landis, John D; Elmer, Vicky; Zook, MatthewThis article explores the effects of metropolitan industrial structure on housing market outcomes. Housing prices in new economy metropolitan areas are found to be higher, peakier, and more volatile than in old economy markets. Homeownership rates are found to be lower in new economy metropolitan areas, while crowding is higher. Although the distribution of housing values, costs, and rents was more equal in new economy markets, the cause would seem to be differences in area income levels, with poorer metropolitan statistical areas having greater inequalities. Regression analysis is used to identify the contribution of traditional supply and demand factors, such as job growth, income, and residential construction, as well as new economy indicators, to housing market outcomes. Rather than being fundamentally different, new economy housing markets are found to be faster and more extreme versions of traditional housing markets.