A Mobility Priority Index for Data-Driven National Bridge Preservation Prioritization

Bridge and pavement management systems typically evaluate structural condition and roadway performance separately, limiting network-level consideration of infrastructure condition and traffic exposure. This study develops the Mobility Priority Index (MPI), a relative composite screening measure that integrates pavement roughness, bridge deck condition, current traffic exposure, and projected traffic growth. A transparent and transferable workflow spatially linked the Highway Performance Monitoring System and National Bridge Inventory and applied sequential quality screening to 79,595 open, unrestricted mainline National Highway System bridges in the contiguous United States. The MPI was descriptively characterized using distributional analysis; spatial patterns and specification sensitivity were examined using local Getis–Ord Gi* hotspot analysis and eight alternative formulations. The baseline identified 20,621 bridges (25.9%) as nominally significant exploratory hotspots, concentrated mainly in metropolitan regions and high-demand corridors. Across the alternative specifications, bridge-rank correlations ranged from 0.807 to 0.965, whereas hotspot-set Jaccard similarities ranged from 0.446 to 0.801, indicating greater sensitivity in hotspot membership than in overall rankings. The MPI does not measure realized delay, congestion, reliability, user cost, or investment benefit. Instead, it provides a nationally scalable screening method that identifies bridges and regions warranting further engineering and operational evaluation during preservation planning.

Authors

Institutions

Publication Details

Journal
Algorithms
Published
2026-09-15
DOI
https://doi.org/10.3390/a19090791
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

A Mobility Priority Index for Data-Driven National Bridge Preservation Prioritization

Raj Bridgelall
Algorithms
Infrastructure Maintenance and Monitoring
article

A Mobility Priority Index for Data-Driven National Bridge Preservation Prioritization

Raj Bridgelall
article en

Abstract

Bridge and pavement management systems typically evaluate structural condition and roadway performance separately, limiting network-level consideration of infrastructure condition and traffic exposure. This study develops the Mobility Priority Index (MPI), a relative composite screening measure that integrates pavement roughness, bridge deck condition, current traffic exposure, and projected traffic growth. A transparent and transferable workflow spatially linked the Highway Performance Monitoring System and National Bridge Inventory and applied sequential quality screening to 79,595 open, unrestricted mainline National Highway System bridges in the contiguous United States. The MPI was descriptively characterized using distributional analysis; spatial patterns and specification sensitivity were examined using local Getis–Ord Gi* hotspot analysis and eight alternative formulations. The baseline identified 20,621 bridges (25.9%) as nominally significant exploratory hotspots, concentrated mainly in metropolitan regions and high-demand corridors. Across the alternative specifications, bridge-rank correlations ranged from 0.807 to 0.965, whereas hotspot-set Jaccard similarities ranged from 0.446 to 0.801, indicating greater sensitivity in hotspot membership than in overall rankings. The MPI does not measure realized delay, congestion, reliability, user cost, or investment benefit. Instead, it provides a nationally scalable screening method that identifies bridges and regions warranting further engineering and operational evaluation during preservation planning.

AlgorithmsVol. 19(9)
Upper Great Plains Transportation Institute (US), North Dakota State University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
Infrastructure Maintenance and Monitoring
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.

A Mobility Priority Index for Data-Driven National Bridge Preservation Prioritization — Raj Bridgelall · Algorithms (2026) | TGRS Research Map | TGRS