Data repository for PacTrans data management plan
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31 to 40 of 89 Results
Feb 28, 2023
Tafazzoli, Mohammadsoroush (Tommy), 2023, "Developing a Proactive Fuzzy- Logic Model for Optimizing Winter Road Maintenance Measure in Cold Urban Areas Using Real-Time Data", https://doi.org/10.7910/DVN/FHGNWV, Harvard Dataverse, V1
The survey asked highway construction experts, particularly those who have been involved in winter road maintenance activities from the Department of Transportation, about the effectiveness of the parameters that drive the criticality of a particular Rd segment to winter road maintenance. We reached out to 202 respondents of which 37 completed the...
Feb 27, 2023
Ban, Xuegang (Jeff); McCabe, Dan, 2023, "Optimal Charging Infrastructure Design for Battery Electric Buses", https://doi.org/10.7910/DVN/2OTYTV, Harvard Dataverse, V1
A “Readme” file is created for each dataset. Below is the schema of the full repo: beb_chargers data gtfs so_king_cty_sites.csv beb_data.py beb_model.py beb_vis.py evaluation.py queue_lambda_sensitivity.py so_king_county_study.py The data folder contains data files used for the project. so_king_cty_sites.csv gives the names and coordinates of the s...
Feb 24, 2023
Darrow, Margaret; Wartman, Joe; Leshchinsky, Ben; Olsen, Michael, 2023, "Rockfall Activity Rate System Analysis for Scenario Earthquakes in Alaska", https://doi.org/10.7910/DVN/FY8ART, Harvard Dataverse, V1
: Rockfall is a chronic slope hazard along transportation corridors throughout the Pacific Northwest (PNW), resulting in frequent road closures and lane restrictions, and directly impacting driver safety, mobility, and accessibility for many critical lifelines. These impacts are amplified by moderate- to large-magnitude seismic events – both during...
Feb 1, 2023
Froehlich, Jon, 2023, "Project Sidewalk crowdsourced sidewalk assessments in 12 cities across four countries", https://doi.org/10.7910/DVN/N5RU4C, Harvard Dataverse, V1
Contains crowdsourced sidewalk accessibility labels from Project Sidewalk deployments in 12 cities. (see excel sheet for data) The format is GeoJSON using a Feature Collection of Point features. Properties of the attributes include accessibility feature or problem type (e.g., obstacle, surface problem, curb ramp), neighborhood name, severity, wheth...
Dec 1, 2022
Louis, Joseph; Turkan, Yelda, 2022, "FlamMap Files for simulating 2020 Archie Creek Wildfire impact on road network.", https://doi.org/10.7910/DVN/ROAYD2, Harvard Dataverse, V1
This dataset contains the files used to create the wildfire simulation for the 2020 Archie Creek Fire that occurred in Eastern Oregon. The output of the analysis shows the status of the fire after 7 days of spread. To run the file, the following files are needed: 1. Archie_Creek_Fire_2020.fmp: This file must be opened in FlamMap 6 software (downloa...
Nov 30, 2022
Shen, Qing, 2022, "Via to Transit Individual Trip Records", https://doi.org/10.7910/DVN/XOAVLH, Harvard Dataverse, V1
The dataset contains every completed Via to Transit trip (N = 229,133). It includes each trip’s request, pick-up, and drop-off times (in minutes), origin and destination geo-coordinate (rounded to 3 decimals), trip distance, number of seats requested, etc. The dataset was obtained directly from King County Metro (KCM) and was used for the transport...
Nov 30, 2022
Whittington, Jan, 2022, "Puget Sound Regional Household Travel Survey - Trips", https://doi.org/10.7910/DVN/XCF1OX, Harvard Dataverse, V1
This dataset is the 2017 Puget Sound Regional Travel Survey (PSRC household survey), which collected detailed trip information and sociodemographic characteristics from 6,254 individuals in 3,285 households living in the central Puget Sound (Seattle, WA) region (Puget Sound Regional Council, 2018). In 2017, the central Puget Sound region had a popu...
Nov 10, 2022
Simpson, Barbara; Scott, Michael, 2022, "Pilot training data for machine learning of coastal bridges", https://doi.org/10.7910/DVN/OGK2SQ, Harvard Dataverse, V1
The dataset includes 3 files, which were used for the training/ testing the machine learning model. a. Static_Model_OneDOF_Data contains the dataset for the load, stiffness, and displacement values for the single degree of freedom (SDOF) static model. b. Dynamic_Model_Data_No_Damping contains the dataset for the (SDOF) dynamic model and includes th...
Sep 1, 2022
Maurer, Brett, 2022, "RapidLiq software for near-real-time prediction of ground failure due to coseismic soil liquefaction", https://doi.org/10.7910/DVN/QVVTEU, Harvard Dataverse, V1
: RapidLiq is free, simple-to-use Windows software. The only input is a ground-motion raster, downloadable minutes after an earthquake or available for countless future scenarios. The software predicts the probability of liquefaction-induced ground failure at high spatial resolution over the large regional extents impacted by earthquakes. Use of th...
Sep 1, 2022
McCormick, Ed; Belz, Nathan; Saeit, Eyal, 2022, "Digital Elevation and Snow Depth Models for Atigun Pass, AK", https://doi.org/10.7910/DVN/R3RQVI, Harvard Dataverse, V1
: Over the course of this project, the AKDOT&PF avalanche manager in Atigun Pass was able to execute 138 flights and acquire nearly 15,000 images for use in the SfM Process. Provided here are processed snow depth models for avalanche zones 112, 125, 203, and 306. Files with the extension ABS.TIF provides absolute snow depth in meters. Files with th...
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