A Framework to Reveal Gaps in Transportation Asset Maintenance Through 311 Complaints
Several mechanisms exist for identifying sites for upgrading transportation infrastructure for non- emergency maintenance. One key element is the complaints that citizens make about broken or missing features using the 311-service call system. Researchers argue, however, that the types and rates of complaints vary by location type. Over time some places may end up having worse infrastructure simply because not enough complaints are generated there. This project will rely on 311 data (2019-2023) available from open data catalogs across case cities in the U.S. We will focus on transportation-sector grievances and generate a new understanding of how regular complaints cluster across census block group typologies. We will assemble 311 data, where available, for case cities roughly the size of Denver, CO. We will append U.S. Census data at the block group level for each 311 complaint, and rely on multilevel statistical models. The key output from this work is to generate a gaps framework by relying on 311 calls and share this knowledge with public-sector engineers and planners.
Language
- English
Project
- Status: Active
- Funding: $120000
-
Contract Numbers:
69A3552348308
-
Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Center for Transformative Infrastructure Preservation and Sustainability
North Dakota State University
Fargo, North Dakota United States 58108-6050 -
Project Managers:
Tolliver, Denver
-
Performing Organizations:
Department of Civil Engineering
1200 Larimer Street, Room 3037
Denver, CO United States 80217 -
Principal Investigators:
Shirgaokar, Manish
- Start Date: 20240817
- Expected Completion Date: 20260816
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
- Source Data: CTIPS-026
Subject/Index Terms
- TRT Terms: Asset management; Cluster analysis; Customers; Maintenance management; Spatial analysis
- Geographic Terms: United States
- Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Planning and Forecasting; Society;
Filing Info
- Accession Number: 01928618
- Record Type: Research project
- Source Agency: Center for Transformative Infrastructure Preservation and Sustainability
- Contract Numbers: 69A3552348308
- Files: UTC, RIP
- Created Date: Aug 24 2024 11:07AM