scholarly journals Framework for the development of performance measures for sustainable asset management practice in road transportation

2013 ◽  
Author(s):  
W. P. H. Gunarathna ◽  
R. A. Hassan ◽  
J. Lamborn
2016 ◽  
Vol 267 (1-2) ◽  
pp. 585-606 ◽  
Author(s):  
Panos Xidonas ◽  
Christis Hassapis ◽  
George Mavrotas ◽  
Christos Staikouras ◽  
Constantin Zopounidis

2020 ◽  
Vol 7 (3) ◽  
pp. 190-200 ◽  
Author(s):  
Peiyuan Lin ◽  
Xian-Xun Yuan ◽  
Kai Li ◽  
Henry Fang

Author(s):  
Joy Davis ◽  
Chris Cunningham ◽  
Daniel Findley ◽  
Sarah Searcy ◽  
James Martin ◽  
...  

In recent years, transportation policy in the United States has increasingly focused on measuring and tracking performance outcomes. However, identifying how quantifiable outcomes—such as international roughness index ratings—influence less tangible outcomes—such as user satisfaction with a roadway—can be challenging. This paper outlines a method that enables researchers to compare stakeholder perceptions of assets with actual field-measured data for roadways. More than 350 residents in six locations in the state of North Carolina were surveyed about how those residents perceived and prioritized the roadway assets managed by the North Carolina Department of Transportation. Using a method termed “roadway reviews,” researchers asked participants about state-maintained roads as the participants were driven on those roads in real time; these surveys were supplemented with focus groups. In addition to identifying how well asset conditions on roadway segments aligned with the basic expectations of roadway users, researchers determined how these ratings compared with field measurements for the segments and captured how participants ranked the importance of specific roadway assets for overall condition, safety, and appearance. The findings will be used to improve asset management practice and will be integrated into the North Carolina Department of Transportation’s annual Highway Performance Monitoring System reports.


2019 ◽  
Vol 9 (1) ◽  
pp. 64-79 ◽  
Author(s):  
Taehoon Lim ◽  
Juan Diego Porras-Alvarado ◽  
Zhanmin Zhang

Purpose The purpose of this paper is to present a methodology for estimating the “price,” or the not-to-loss value, of individual highway assets, which reflects not only the assets’ capital value but also economic productivity, by adopting a productivity-based asset valuation framework. The price tags can be used in prioritizing highway assets in support of transportation asset management processes. Design/methodology/approach The methodology adopts the utility theory to consider multiple performance measures reflecting the economic productivity generated by the assets, as well as their capital value. Key performance measures are first selected, and their values are retrieved from highway asset management databases. Next, the utility functions representing decision makers’ preferences convert the performance measures into utility values, which adjust the replacement cost (RC) of each highway asset to estimate price tags. To demonstrate its applicability, case studies were conducted for the highway networks of Texas and Washington State in the USA. Findings The methodology yielded price tags that better reflect the importance of highways’ roles in the economy in comparison to methods where only RCs are used. Furthermore, it was proven to be flexible enough to accommodate local conditions such as varying data availability. Originality/value The research provides a practical and reasonable way to prioritize critical highway assets in purport of maintenance and rehabilitation resource allocations, based on their economic productivity as well as physical condition and historical cost information, enhancing the overall efficiency and effectiveness of highway asset management.


2021 ◽  
Vol 26 (1) ◽  
pp. 19-43
Author(s):  
Nuru Gambo ◽  
◽  
Innocent Musonda ◽  

Poor management practices of road transport assets posed a challenge to the sustainable development of the transport system in developing countries like Nigeria. Studies in the past focused mainly on the performance of road construction process. However, few studies have evaluated the effect of the fourth Industrial Revolution (4.0IR) on the road transport assets in developing countries such as Nigeria. The current study aimed at assessing the effect of the 4.0IR towards improving the management practice of road transport assets. Survey instruments were administered to project and facility managers in the Nigerian road construction sector of the economy using a proportionate random sampling technique. Partial least square structural equation modelling was used for data analysis utilising the Warp 7.0 partial least squares-structural equation modelling (PLS-SEM) software algorithm. The software calculates p-values with WarpPLS based on non-parametric algorithms, resampling or stable algorithms and thus does not require that the variables to be normally distributed. The study concluded that the 4.0IR drivers have a moderate effect change on the management practice of road transport assets in Nigeria at the moment. The findings imply that management of road assets in Nigeria would moderately improve due to the 4.0IR technologies resulting in transport, safety and general efficiency and effectiveness of road networks in Nigeria. The study identified the 4.0IR drivers to include robotics, mobility, virtual and augmented reality, Internet of things and cloud computing, machine learning, artificial intelligence, blockchain, three-dimensional (3D) printing drones that are built with an attached 3D printer (the drone hangs a 3D printing nozzle that has fed plastic, concrete mix or other material from a tube connected to the top of the drone's printing path that precisely plotted by software, for a promised printing accuracy of 0.1 mm) and digital engineering. This study emanated from the government reports and past studies in the area of road transport asset management practice which the study investigated the major causes of poor practices and assessed the effect of the 4.0IR on the practice.


Author(s):  
Damjan Maletić ◽  
Nuno Marques de Almeida ◽  
Dragan Komljenovic ◽  
Viktor Lovrenčić ◽  
Matjaž Maletič

The purpose of this paper is to explore the readiness of selected Slovenian companies to assimilate the complexities of Industry 4.0 requirements into their asset management practice, namely for the particular case of the predictive maintenance function. The survey was conducted to capture the extent to which companies address new technologies as well as to identify the current and future orientation towards their adoption in predictive maintenance activities. The results suggest that companies are aware of the benefits that can be attained with Industry 4.0 solutions. However, they still lack of clear vison and an implementation roadmap such solutions. Moreover, the majority of the companies in the sample are still in the early stages of predictive maintenance strategy maturity. Taking a wider perspective one can highlight the need to adopt organization-wide asset management approach to be able to effectively manage the transition towards digitalization by means of creating higher value for the organization.


Author(s):  
Alexander May ◽  
Adrian Anslow ◽  
Udechukwu Ojiako ◽  
Yue Wu ◽  
Alasdair Marshall ◽  
...  

This article sought to facilitate the optimisation of key performance measures utilised for demand management in air cargo operations. The focus was on the Revenue Management team at Virgin Atlantic Cargo and a fuzzy group decision-making method was used. Utilising intelligent fuzzy multi-criteria methods, the authors generated a ranking order of ten key outcome-based performance indicators for Virgin Atlantic air cargo Revenue Management. The result of this industry-driven study showed that for Air Cargo Revenue Management, ‘Network Optimisation’ represents a critical outcome-based performance indicator. This collaborative study contributes to existing logistics management literature, especially in the area of Revenue Management, and it seeks to enhance Revenue Management practice. It also provides a platform for Air Cargo operators seeking to improve reliability values for their key performance indicators as a means of enhancing operational monitoring power.


Author(s):  
A. A. M. Nasir ◽  
S. Azri ◽  
U. Ujang

Abstract. Urbanization phenomenon is a key role that contributes to the smart cities development. The expansion of urban growth requires everything to be smart and controlled by advance technology for efficient urban management. One of the important aspects that often overlooked in realizing smart cities is asset management. Asset management is an approach for managing, monitoring and maintenance of assets. Previous studies showed that there are several efforts in managing asset by integrating the asset with Geographic Information System (GIS). However, several limitations can be seen from the studies such as unavailability of real visualization and limitation on asset descriptions although we believe that 3D offers rich information and real visualization for asset management practice. Therefore, to achieve an effective asset management, we proposed to conceptualize the asset with the latest version of CityGML 3.0. The aim of this paper is to model the immovable asset using CityGML 3.0 concept. We adopted the concept of occupied and unoccupied spaces to model the public hall, owned by Johor Bahru City Council (MBJB). The hall was modelled based on point cloud data set from Terrestrial Laser Scanning (TLS) and Unmanned Aerial Vehicle (UAV). The attribute data for the hall was stored in 3DCityDB for information retrieval and query. The result showed that the hall was successfully visualized and information regarding the asset can be retrieved. With this approach, it is believed that an effective 3D asset management system can be developed in the future, to ensure adequate system performance and effective cost operational.


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