Browsing by Subject "Structural equation models"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Climate change, forest composition, and outdoor recreation in northeastern Minnesota(2022-09) Bakshi, BaishaliClimate change will likely result in a change in the composition of northern Minnesota forests by the end of the century, affecting outdoor recreation, which is a valuable ecosystem service as well as a key economic driver for the state with over $4 billion in annual expenditures in hunting, fishing, and wildlife viewing. Yet, the links between climate change, forest composition, and outdoor recreation have not been well studied. Current research finds that deer can also affect the links between climate change, forest composition, and outdoor recreation. In this dissertation, I examine and evaluate the links between these four main variables: climate change, forest composition, deer, and outdoor recreation, and a variety of other relevant predictors, using a combination of econometric modeling and spatial analysis applied to region-specific data in the Laurentian Mixed Forest Province (LMF) of northern Minnesota. My results improve understanding of these complex relationships to better inform Minnesota’s climate adaptation strategies and contribute to the literature on ecosystem services.Item Spatial self-selection in land-use–travel behavior interactions: Accounting simultaneously for attitudes and socioeconomic characteristics(Journal of Transport and Land Use, 2014) Abreu e Silva, João deSpatial self-selection can be ascribed to two main factors: socioeconomic characteristics or attitudinal aspects towards travel and location choices. Several studies have investigated the influence of self-selection on the relations between travel behavior and land-use patterns. So far the results could be considered mixed. The model proposed herein uses data collected in 2009 for the Lisbon Metropolitan Area. A structural equations model was built to study the effects of spatial self-selection due to both socioeconomic and attitudinal effects. Three model specifications were considered: one treating attitudes toward travel as exogenous and two others considering them as endogenous. The preferred specification considered attitudes as exogenous. The land-use patterns are described by factors both at the residence and employment zones of each individual. The travel behavior variables included here are multidimensional and include commuting distance, car ownership, the number of trips by mode, and the total amount of time between the first and last trips. On account of the data characteristics and sample size, Bayesian estimation, as implemented in AMOSTM software, was used. The results obtained show that although the attitudinal variables significantly influence travel behavior, they do not annul the effects of land-use patterns in also contributing to shape the same behavior.