Influence of Different Prioritization Approaches of Maintenance and Replacement Measures on Station Infrastructure Quality

This paper presents a model that establishes a relationship between the financial resources allocated to maintain and replace railway station infrastructure assets and the resulting infrastructure quality. Until now, there has been no known relationship between quality and financial resources, makin...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences 2023-12, Vol.13 (23), p.12883
Main Authors: Lampe, Felix, Maus, Maren, Elfert, Lea, Nießen, Nils
Format: Article
Language:English
Subjects:
degradation
Failure
Financial management
Funding
Infrastructure
maintenance
Measurement
quality measurement
Railroads
railway stations
Stations
Transportation terminals
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents a model that establishes a relationship between the financial resources allocated to maintain and replace railway station infrastructure assets and the resulting infrastructure quality. Until now, there has been no known relationship between quality and financial resources, making targeted planning for railway stations and the control of financial resources challenging. This model aims to predict infrastructure quality by analyzing the age-related degradation of infrastructure assets using historical data. The effects of maintenance and replacement measures are implemented in the model to map quality-improving measures. This allows for the comparison and analysis of different budget allocation scenarios on different assets, with different approaches for prioritizing replacement and maintenance measures. In this paper, the influence of budget allocation and prioritization strategies on station infrastructure quality is quantified by comparing different scenarios. Based on the results of the analysis, a quality assessment method can be evaluated, and disincentives can be identified. The analyses in this paper are carried out for quality measurement defined in Germany and the German railway station infrastructure.
ISSN:2076-3417
2076-3417
DOI:10.3390/app132312883