Browsing by Author "Hockert, Matthew"

Now showing 1 - 13 of 13
  • Thumbnail Image
    Item
    Access Across America: Auto 2021 Data
    (2023-09-21) Owen, Andrew; Liu, Shirley Shiqin; Jain, Saumya; Hockert, Matthew; Lind, Eric; owenx148@umn.edu; Owen, Andrew; University of Minnesota Center for Transportation Studies, Accessibility Observatory
    These data were created as part of a study that examined the accessibility to jobs by auto in the 50 largest (by population) metropolitan areas in the United States. The data include access at realistic observed driving speeds by time of day and road segment. The underlying speed data inputs restrict data sharing to participating sponsor states. The data available describe access to jobs by auto in the states/districts of California, Connecticut, District of Columbia, Florida, Illinois, Maryland, Massachusetts, Michigan, Minnesota, North Carolina, Texas; and the metropolitan areas within these states. These data are part of a longitudinal study. Auto data for additional years can be found in the Accessibility Observatory Data collection: http://hdl.handle.net/11299/200592
  • Thumbnail Image
    Item
    Access Across America: Auto 2022 Data
    (2024-10-21) Owen, Andrew; Liu, Shirley Shiqin; Jain, Saumya; Hockert, Matthew; Lind, Eric; owenx148@umn.edu; Owen, Andrew; University of Minnesota Center for Transportation Studies, Accessibility Observatory
    These data were created as part of a study that examined the accessibility to jobs by auto in the 50 largest (by population) metropolitan areas in the United States. The data include access at realistic observed driving speeds by time of day and road segment. The underlying speed data inputs restrict data sharing to participating sponsor states. The data available describe access to jobs by auto in the states/districts of California, Connecticut, District of Columbia, Florida, Illinois, Maryland, Massachusetts, Michigan, Minnesota, North Carolina, Texas, and Virginia; and the metropolitan areas within these states. These data are part of a longitudinal study. Auto data for additional years can be found in the Accessibility Observatory Data collection: http://hdl.handle.net/11299/200592
  • Thumbnail Image
    Item
    Access Across America: Bike 2021 Data
    (2023-08-28) Owen, Andrew; Liu, Shirley Shiqin; Jain, Saumya; Hockert, Matthew; Lind, Eric; owenx148@umn.edu; Owen, Andrew; University of Minnesota Center for Transportation Studies, Accessibility Observatory
    These data were created as part of a study that examined the accessibility to jobs by bicycling across the United States. It is the most detailed evaluation to date of access to jobs by biking, and incorporates a Level of Traffic Stress analysis to allow calculation of access to jobs on bike networks of different traffic stress tolerances. This dataset allows for a direct comparison of the biking accessibility performance of America's largest metropolitan areas. These data are part of a longitudinal study. Previous datasets (Access Across America: Bike 2019) are available at https://conservancy.umn.edu/handle/11299/218194.
  • Thumbnail Image
    Item
    Access Across America: Bike 2022 Data
    (2024-10-21) Owen, Andrew; Liu, Shirley Shiqin; Jain, Saumya; Hockert, Matthew; Lind, Eric; owenx148@umn.edu; Owen, Andrew; University of Minnesota Center for Transportation Studies, Accessibility Observatory
    These data were created as part of a study that examines the accessibility to jobs by biking across the United States. It is the most detailed evaluation to date of access to jobs by cycling, and it allows for a direct comparison of the bike accessibility performance of America's metropolitan areas. These data are part of a longitudinal study. Biking data for additional years can be found in the Accessibility Observatory Data collection: https://hdl.handle.net/11299/200592
  • Thumbnail Image
    Item
    Access Across America: Transit 2021 Data
    (2023-08-31) Owen, Andrew; Liu, Shirley Shiqin; Jain, Saumya; Hockert, Matthew; Lind, Eric; owenx148@umn.edu; Owen, Andrew; University of Minnesota Center for Transportation Studies, Accessibility Observatory
    These data were created as part of a study that examined the accessibility to jobs by transit across the United States. It is the most detailed evaluation to date of access to jobs by transit, and it allows for a direct comparison of the transit accessibility performance of America's metropolitan areas. These data are part of a longitudinal study. Transit data for additional years can be found in the Accessibility Observatory Data collection: http://hdl.handle.net/11299/200592
  • Thumbnail Image
    Item
    Access Across America: Transit 2022 Data
    (2024-10-21) Owen, Andrew; Liu, Shirley Shiqin; Jain, Saumya; Hockert, Matthew; Lind, Eric; owenx148@umn.edu; Owen, Andrew; University of Minnesota Center for Transportation Studies, Accessibility Observatory
    These data were created as part of a study that examines the accessibility to jobs by transit across the United States. It is the most detailed evaluation to date of access to jobs by transit, and it allows for a direct comparison of the transit accessibility performance of America's metropolitan areas. These data are part of a longitudinal study. Transit data for additional years can be found in the Accessibility Observatory Data collection: https://hdl.handle.net/11299/200592
  • Thumbnail Image
    Item
    Access Across America: Walk 2022 Data
    (2024-10-21) Owen, Andrew; Liu, Shirley Shiqin; Jain, Saumya; Hockert, Matthew; Lind, Eric; owenx148@umn.edu; Owen, Andrew; University of Minnesota Center for Transportation Studies, Accessibility Observatory
    These data were created as part of a study that examines the accessibility to jobs by walking or rolling across the United States. It is the most detailed evaluation to date of access to jobs by walking, and it allows for a direct comparison of the walkability of America's metropolitan areas. These data are part of a longitudinal study. Walk/roll data for additional years can be found in the Accessibility Observatory Data collection: https://hdl.handle.net/11299/200592
  • Thumbnail Image
    Item
    Duluth Bethel Program Evaluation
    (University of Minnesota Duluth, 2019) Haynes, Monica; Chiodi Grensing, Gina; Dauner, Kim; Brand, Nathan; Olafson, Tommy; Badger, Megan; Hockert, Matthew
    The Duluth Bethel (Bethel) is a private non-profit 501c(3) organization that provides community corrections and inpatient and outpatient chemical dependency services to individuals in Duluth and the surrounding region. Roughly half of the individuals served by Bethel in a given year receive treatment for chemical dependency through the Port Rehabilitation program, while the rest participate in one of the facility’s Community Corrections programs (either the Work Release or Female Offender Programs). This project outlines an evaluation strategy for Bethel and assesses the costs and outcomes of the organization’s primary programs. The team utilized data for four years, 2015-2018. The analysis has four primary goals. First was the development of an agency-wide logic model that includes program resources and inputs; actions and outputs; and short-term, medium-term, and long-term outcomes on both clients and the community. Second, data currently being collected by Bethel on its programs and clients as well as any important measures not currently being collected were summarized. Third, common client scenarios (or pathways) for Bethel’s clients were identified, and the costs and outcomes of Bethel’s programs were compared with the most likely alternatives for clients (e.g. jail, prison, treatment). And fourth, a list of recommendations for the organization, based on the study results, existing literature, and feedback from staff and subject-matter experts was developed.
  • Thumbnail Image
    Item
    Economic Impact of Ferrous and Nonferrous Mining on Minnesota and the Arrowhead Region with Douglas County, Wisconsin
    (University of Minnesota Duluth, 2020) Haynes, Monica; Chiodi Grensing, Gina; Badger, Megan; Brand, Nathan; Hockert, Matthew; Thorsgard, Haakan
    The UMD Labovitz School of Business and Economics’ research bureau, the Bureau of Business and Economic Research (BBER), was contacted by the Iron Mining Association of Minnesota and Mining Minnesota to study and estimate the economic impacts of construction and operations for ferrous and nonferrous mining on Minnesota and the Arrowhead Region including Douglas County, Wisconsin. The objectives of the study include: • To study the recent economic trends of the ferrous and nonferrous mining industries and describe the size of the mining industry relative to the economic base of the study area. • To model the economic impacts of the ferrous and nonferrous mining industry, including the current and projected impacts of the industry’s operations and projected capital expenditures. • To report on Minnesota mining-related taxes paid by the mining industry. • To report on the business confidence of mining-related firms in the study area.
  • Thumbnail Image
    Item
    Economic Impact of the Hermantown Amateur Hockey Association on Duluth, Hermantown, and Proctor, Minnesota
    (University of Minnesota Duluth, 2020) Haynes, Monica; Chiodi Grensing, Gina; Brand, Nathan; Hockert, Matthew; Badger, Megan
    The Bureau of Business and Economic Research (BBER) at the University of Minnesota Duluth’s Labovitz School of Business and Economics was contacted by HAHA to estimate the economic impacts of Hermantown hockey on the study area. For the purpose of this report, Hermantown hockey includes all of HAHA’s youth games and tournaments, the Hermantown High School hockey program (uses the Hermantown arena), and the operations of the Hermantown Arena. HAHA also requested research on the potential economic impacts of adding a second sheet of ice to the arena that would add capacity for additional games and tournaments throughout the season. The BBER first focused on Hermantown hockey’s current impacts on the economy and then estimated the possible impacts of expanding the existing arena.
  • Thumbnail Image
    Item
    Economic Impacts of the Tourism Industry in Duluth
    (University of Minnesota Duluth, 2020) Haynes, Monica; Chiodi Grensing, Gina; Brand, Nathan; Hockert, Matthew
    The UMD Labovitz School of Business and Economics’ research bureau, the Bureau of Business and Economic Research (BBER), was asked to study and estimate the economic impact of the tourism industry in Duluth. The study area used in the analysis includes all Duluth zip codes. The research objectives of this study included the following: • Show current size of Duluth’s tourism industry in terms of employment and value added. • Show recent trends in employment for the tourism industry. • Model economic impacts of 0.5%, 2%, and 4% increases in the Duluth tourism industry.
  • Thumbnail Image
    Item
    Spring 2020 Regional Economic Indicators Forum Brochure
    (University of Minnesota Duluth, 2020) Haynes, Monica; Chiodi Grensing, Gina; Hockert, Matthew; College of St. Scholastica; University of Wisconsin-Superior
  • Thumbnail Image
    Item
    Valuation of Energy Efficient Investments by Duluth Landlords and Tenants
    (University of Minnesota Duluth, 2020) Haynes, Monica; Chiodi Grensing, Gina; McIntosh, Christopher; Olafson, Tommy; Brand, Nathan; Hockert, Matthew; Badger, Megan
    The purpose of this study is to build upon the findings from the BBER’s 2016 study, expand the knowledge base related to the split incentive and its impact on student renters, and address the proposed adjustments to the previous research. Specifically, this investigation addressed the following research questions: 1. Are renters willing to pay more in rent for energy efficient upgrades to be installed in their rental property? 2. What monetary value do renters place on a monthly savings in utility payments? 3. Is there a significant difference between student and non-student renters in these two areas (willingness to pay and value placed on utility savings)? 4. What are landlords willing to pay for various energy efficient upgrades? 5. What portion of the cost for various energy efficient upgrades are landlords willing to pay themselves, and what portion would they expect to pass on to renters? 6. Are there any social or demographic factors that influence renter and/or landlord behaviors in this area?