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Full-Text Articles in Urban Studies and Planning
Data From: Updating And Expanding Lrt/Brt/Sct/Crt Data And Analysis, Robert Hibberd, Arthur C. Nelson, Kristina M. Currans
Data From: Updating And Expanding Lrt/Brt/Sct/Crt Data And Analysis, Robert Hibberd, Arthur C. Nelson, Kristina M. Currans
TREC Datasets and Databases
This data supports the LRT/BRT/SCT/CRT Development Outcomes FINAL PHASE.
The FINAL PHASE will allow us to use factor/cluster analysis to create typologies of station areas to assess the extent to which types of stations (as opposed to transit systems as a whole) make a difference in economic development (based on LEHD data), and people (census data) during the periods before, during and after the Great Recession as appropriate for each system and mode. It will also allow us to refine hedonic regression analysis.
Data From: How Will Autonomous Vehicles Change Local Government Budgeting And Finance? Case Studies Of On-Street Parking, Curb Management, And Solid Waste Collection, Benjamin Y. Clark
Data From: How Will Autonomous Vehicles Change Local Government Budgeting And Finance? Case Studies Of On-Street Parking, Curb Management, And Solid Waste Collection, Benjamin Y. Clark
TREC Datasets and Databases
Datafiles
Parking Occupancy Datasets: These CSV (comma separated values) datafiles include parking occupancy data from the Seattle Department of Transportation (SDOT). Each of the 11 datafiles indicates the time period that it includes, with dates ranging from January 1, 2012 to December 31, 2017. Each file contains 6 months of data on block-by-block occupancy of paid parking. The number of available spaces were calculated from this dataset in addition to the median and mean occupancy rates for each Tract. City data documentation indicates the following about the dataset: “The City of Seattle has created an on-street paid parking occupancy …