Exploring Crowdsourced Monitoring Data for Safety - Travel Patterns using GPS Waypoint Data (TTI-Student-05)
收藏DataCite Commons2020-07-30 更新2024-07-13 收录
下载链接:
https://dataverse.vtti.vt.edu/citation?persistentId=doi:10.15787/VTT1/81SKJW
下载链接
链接失效反馈官方服务:
资源简介:
Project Description: The third effort (Travel Patterns using GPS Waypoint Data) of this project explored the use of INRIX trip trace data to determine the patterns of origin-destination distributions and developed forty decision rules to define the origin-destination patterns. The research team used three separate databases to perform the analysis: Maryland INRIX waypoint trip data Census block group level American Community Survey (ACS) 2013-2017 data Census block level Longitudinal Employer-Household Dynamics (LEHD) 2015 data Data Scope: Monthly sample dataset includes U.S. Census Block group specific monthly origin-destination data with other demographic variables. The month was randomly selected from the four months of data collected for this project. Data Specification: See Table 1 for description of each variable included in the dataset.
提供机构:
VTTI
创建时间:
2019-11-05



