Modeling and Predicting the Deterioration of Pedestrian Assets [Summary]

Details

• Corporate Creators:
  CTC & Associates LLC
• Corporate Contributors:
  Local Road Research Board ; Minnesota. Department of Transportation
• Subject/TRT Terms:
  • Asset management
  • Deterioration
  • Predictive models
  • Pedestrian areas
  • Sidewalks
• Publication/ Report Number:
  2025-19RS
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Edition:
  Research Summary
• Corporate Publisher:
  Minnesota. Department of Transportation ; Local Road Research Board
• Abstract:
  Pedestrian assets, particularly sidewalks, are highly susceptible to aging, adverse weather conditions, and suboptimal construction practices, often leading to rapid deterioration. This deterioration is often ignored due to the widespread misconception that pedestrian assets are low risk, resulting in many deteriorated sidewalks being left untreated or inadequately maintained. A comprehensive deterioration modeling framework that integrates advanced spatial and temporal data sources, advanced data analytics, and predictive modeling would enable infrastructure managers to predict the aging process of pedestrian assets and ultimately prioritize investments, plan maintenance schedules, and allocate budgets efficiently.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/81861/dot_81861_DS1.pdf
• File Type:
  [PDF - 184.84 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:0ce3e38723471ad46e791d21fa0d61d7a67442e1f317075d6b1afcb3b78aad512186905ad29c696f5b33d4f83c8a3040c471cc34d677fcbaf7524a81360f90ea