Managing Transportation Asset Data Collection During COVID-19: The Origin of NYC DOT’s Spatial Data Gathering Program

The New York City Department of Transportation’s (NYC DOT) spatial data gathering (SDG) program is an initiative that sought to address several issues, including providing employees with relevant work that could be done at home during the COVID-19 pandemic. This program provided NYC DOT with greatly needed spatial data on assets which would cost many hundreds of thousands of dollars to obtain if the work was contracted to a consultant—money that, because of the pandemic, was now scarce. The following pages describe a high-level overview of the methods involved in creating and sustaining the program, the metrics tracking the progress of the individual projects, and the lessons that were learned along the way. In sum, this program was able to train in-house resources that were working from home, as well as interns, to capture spatial data on the location and attributes of assets using web-based imagery and applications for both communication and the exchange of data.

Authors

Institutions

Publication Details

Journal
Transportation Research Record Journal of the Transportation Research Board
Published
2024-11-08
DOI
https://doi.org/10.1177/03611981241271596
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Managing Transportation Asset Data Collection During COVID-19: The Origin of NYC DOT’s Spatial Data Gathering Program

Hui Yan Chan, Maddalena Romano, Milena Silva Souza, María Encarnación Tamayo Rodríguez
Transportation Research Record Journal of the Transportation Research Board
Traffic and Road Safety
article

Managing Transportation Asset Data Collection During COVID-19: The Origin of NYC DOT’s Spatial Data Gathering Program

Hui Yan Chan, Maddalena Romano, Milena Silva Souza, María Encarnación Tamayo Rodríguez
article en

Abstract

The New York City Department of Transportation’s (NYC DOT) spatial data gathering (SDG) program is an initiative that sought to address several issues, including providing employees with relevant work that could be done at home during the COVID-19 pandemic. This program provided NYC DOT with greatly needed spatial data on assets which would cost many hundreds of thousands of dollars to obtain if the work was contracted to a consultant—money that, because of the pandemic, was now scarce. The following pages describe a high-level overview of the methods involved in creating and sustaining the program, the metrics tracking the progress of the individual projects, and the lessons that were learned along the way. In sum, this program was able to train in-house resources that were working from home, as well as interns, to capture spatial data on the location and attributes of assets using web-based imagery and applications for both communication and the exchange of data.

Transportation Research Record Journal of the Transportation Research BoardVol. 2679(2)
New York City Department of Transportation (US)
Good health and well-being
Openalex Percentile: Top 76%
Traffic and Road Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Managing Transportation Asset Data Collection During COVID-19: The Origin of NYC DOT’s Spatial Data Gathering Program — Hui Yan Chan, Maddalena Romano, et al. · Transportation Research Record Journal of the Transportation Research Board (2024) | TGRS Research Map | TGRS