Implementation of the British Columbia Side Road Assessment Plan

2003 ◽  
Vol 1819 (1) ◽  
pp. 262-266 ◽  
Author(s):  
Lynne Cowe Falls ◽  
Shawn Landers ◽  
Wael Bekheet ◽  
Reg Fredrickson
Keyword(s):  
British Columbia ◽  
Data Collection ◽  
Asset Management ◽  
Management Practices ◽  
Lessons Learned ◽  
Pavement Management ◽  
Huge Data ◽  
Management Application ◽  
Traffic Volumes ◽  
Fiscal Restraint

With more than 61,000 lane-km, the British Columbia side road network is an important economic asset to the province, providing access to a large resource-based economy. This network is composed of paved (25,000 lane-km) and unpaved (36,000 lane-km) sections of various geometric and construction standards and low traffic volumes. In the mid-1990s, the British Columbia Ministry of Transportation completed implementation of a comprehensive corporate pavement management application on its entire primary and secondary highway system. The ministry was also committed to extension of the system to all roads under its jurisdiction as part of its asset management practices to support formalized condition assessment and needs analysis processes. One of the obstacles facing the implementation of pavement management application on the side roads was the huge data collection cost, particularly in a time of governmentwide fiscal restraint. The side road data collection project was initiated with the objective of developing a data collection methodology and plan for the entire network by a combination of continuous and sampled approaches. The approach used to modify the existing U.S. Corps of Engineers data collection system for unpaved roads to conditions in British Columbia and the field verification trials that were completed before full-scale implementation are discussed. The data collection blueprint, which combines full and sampled coverage of the network with a road classification system, is also described. The results of the first data collection cycle and lessons learned are presented.

Evaluation of Private-Sector Asset Management Practices

2003 ◽  
Vol 1848 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Shaumik Pal ◽  
P. S. Sriraj ◽  
Libby Ogard ◽  
Sue McNeil
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
Case Studies ◽  
Asset Management ◽  
Management Practices ◽  
Management Program ◽  
Lessons Learned ◽  
Transportation Industry ◽  
Public And Private ◽  
The Public

The focus of the transportation industry, in both the public and private sectors, has slowly been changing from construction and expansion to that of preservation, as a result of various factors. Private-sector industries have made strides in asset management that could be beneficial to the public sector. Private-sector asset management principles and concepts that would form an integral part of any asset management program employed by state transportation agencies and that are transferable to the public sector, especially state departments of transportation, are identified. An overview of best practices in asset management in the private sector is presented. Thus, lessons learned are identified based on a synthesis of case studies. The analysis has been done by carefully examining asset management practices of seven near-transportation private-sector companies. Included are case studies from two railroads, two airlines, two energy companies, and one railcar leasing company. The case studies highlight the need for communication, tools, and education as well as an information technology foundation from which asset management can be practiced effectively.

Implementation of Automated Network-Level Crack Detection Processes in Maryland

2003 ◽  
Vol 1860 (1) ◽  
pp. 109-116 ◽  
Author(s):  
Jonathan L. Groeger ◽  
Peter Stephanos ◽  
Paul Dorsey ◽  
Mark Chapman
Keyword(s):  
Data Collection ◽  
Crack Detection ◽  
Implementation Process ◽  
Lessons Learned ◽  
Pavement Management ◽  
Pavement Management System ◽  
State Highway ◽  
Management Group ◽  
Detection Software ◽  
Insight Into

The Maryland State Highway Administration (MDSHA) has collected cracking data on its roadways for use in its pavement management system since 1984. Through much of this history the pavement cracking survey was performed yearly by teams of inspectors riding in vans. With the reengineering of the administration over the years, this process began to present serious resource and logistical problems. During the past 3 years, the MDSHA pavement management group has developed and implemented a state-of-the-art automated network-level crack detection process that is showing promising results. This process is based upon the use of the automated road analyzer (ARAN) data collection vehicle, Wisecrax crack detection software, and an intensive quality-control (QC) and quality-assurance (QA) procedure. The data collection and data processing tasks are all performed in house with MDSHA resources. An overview of the processes developed and implemented by MDSHA to conduct these surveys is provided. Also discussed are challenges and lessons learned during the implementation process. Presentation of this information will allow others to gain insight into the strengths and weaknesses of adopting such a system and promote information sharing among pavement data collection organizations. Overall, it is concluded that automated network-level crack detection is a workable and efficient tool. However, a strict QC-QA regime must be instituted in order to achieve consistent and repeatable results.

Forest Management In Mongolia – A Review Of Challenges And Lessons Learned With Special Reference To Degradation And Deforestation

2019 ◽  
Vol 12 (3) ◽  
pp. 133-166 ◽  
Author(s):  
Alexander Gradel ◽  
Gerelbaatar Sukhbaatar ◽  
Daniel Karthe ◽  
Hoduck Kang
Keyword(s):  
Forest Management ◽  
Land Management ◽  
Management Practices ◽  
Forest Health ◽  
Hydrological Regime ◽  
Lessons Learned ◽  
Ecosystem Functions ◽  
Special Focus ◽  
Driven System ◽  
The Status

The natural conditions, climate change and socio-economic challenges related to the transformation from a socialistic society towards a market-driven system make the implementation of sustainable land management practices in Mongolia especially complicated. Forests play an important role in land management. In addition to providing resources and ecosystem functions, Mongolian forests protect against land degradation.We conducted a literature review of the status of forest management in Mongolia and lessons learned, with special consideration to halting deforestation and degradation. We grouped our review into seven challenges relevant to developing regionally adapted forest management systems that both safeguard forest health and consider socio-economic needs. In our review, we found that current forest management in Mongolia is not always sustainable, and that some practices lack scientific grounding. An overwhelming number of sources noticed a decrease in forest area and quality during the last decades, although afforestation initiatives are reported to have increased. We found that they have had, with few exceptions, only limited success. During our review, however, we found a number of case studies that presented or proposed promising approaches to (re-)establishing and managing forests. These studies are further supported by a body of literature that examines how forest administration, and local participation can be modified to better support sustainable forestry. Based on our review, we conclude that it is necessary to integrate capacity development and forest research into holistic initiatives. A special focus should be given to the linkages between vegetation cover and the hydrological regime.

Enterprise Architecture Planning Untuk Proses Pengelolaan Manajemen Aset Dengan Zachman Framework

2016 ◽  
Vol 2 (2) ◽  
pp. 98
Author(s):  
Titus Kristanto
Keyword(s):  
Data Collection ◽  
Asset Management ◽  
Enterprise Architecture ◽  
Management Process ◽  
Implementation Planning ◽  
Is Evaluation ◽  
Zachman Framework ◽  
Architectural Planning

AbstrakManajemen aset merupakan hal terpenting dalam perusahaan. Proses manajemen aset yang tepat, dapat membuat aset yang dimiliki perusahaan lebih optimal. Dalam penelitian ini, Penulis membahas perancangan Enterprise Architecture (EA) manajemen aset yang dimiliki oleh PT Pembangkit Jawa Bali (PT PJB) dengan Zachman Framework. Ada 7 (tujuh) tahapan yang dilakukan perusahaan dalam manajemen aset yaitu tahapan pengumpulan data, inisialisasi perencanaan, melihat kondisi perusahaan, menganalisis hasil kondisi enterprise, membuat perencanaan arsitektur, membuat rencana implementasi, dan membuat portofolio aplikasi. Hasil penelitian adalah evaluasi blueprint arsitektur untuk diimplementasikan pada beberapa tahun di masa mendatang.Kata kunci: Enterprise Architecture Planning, manajemen aset, Zachman Frameworks. AbstractAsset management is a cornerstone for any business organisations. Proper asset management process can make a company's assets more optimal. This paper discusses the design of enterprise architecture of management assets owned by PT Pembangkit Jawa Bali with Zachman Framework. There are 7 stages in asset management, i.e. data collection, initialization planning, Observing the existing condition of enterprise, analyze the results of the condition of enterprise companies, create architectural planning, create implementation planning, and create application portfolio. The results of this reseach is evaluation of architectural blueprint to be implemented for several years in the future.Keywords: Asset management, Enterprise Architecture Planning, Zachman Framework.

scholarly journals Costing interventions in the field: preliminary cost estimates and lessons learned from an evaluation of community-wide mass drug administration for elimination of soil-transmitted helminths in the DeWorm3 trial

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e049734
Author(s):  
Katya Galactionova ◽  
Maitreyi Sahu ◽  
Samuel Paul Gideon ◽  
Saravanakumar Puthupalayam Kaliappan ◽  
Chloe Morozoff ◽  
...  
Keyword(s):  
Data Collection ◽  
Drug Administration ◽  
Financial Reporting ◽  
Mass Drug Administration ◽  
Lessons Learned ◽  
Secondary Outcome ◽  
Data Quality Control ◽  
Soil Transmitted Helminths ◽  
Trade Offs ◽  
Rich Data

ObjectiveTo present a costing study integrated within the DeWorm3 multi-country field trial of community-wide mass drug administration (cMDA) for elimination of soil-transmitted helminths.DesignTailored data collection instruments covering resource use, expenditure and operational details were developed for each site. These were populated alongside field activities by on-site staff. Data quality control and validation processes were established. Programmed routines were used to clean, standardise and analyse data to derive costs of cMDA and supportive activities.SettingField site and collaborating research institutions.Primary and secondary outcome measuresA strategy for costing interventions in parallel with field activities was discussed. Interim estimates of cMDA costs obtained with the strategy were presented for one of the trial sites.ResultsThe study demonstrated that it was both feasible and advantageous to collect data alongside field activities. Practical decisions on implementing the strategy and the trade-offs involved varied by site; trialists and local partners were key to tailoring data collection to the technical and operational realities in the field. The strategy capitalised on the established processes for routine financial reporting at sites, benefitted from high recall and gathered operational insight that facilitated interpretation of the estimates derived. The methodology produced granular costs that aligned with the literature and allowed exploration of relevant scenarios. In the first year of the trial, net of drugs, the incremental financial cost of extending deworming of school-aged children to the whole community in India site averaged US$1.14 (USD, 2018) per person per round. A hypothesised at-scale routine implementation scenario yielded a much lower estimate of US$0.11 per person treated per round.ConclusionsWe showed that costing interventions alongside field activities offers unique opportunities for collecting rich data to inform policy toward optimising health interventions and for facilitating transfer of economic evidence from the field to the programme.Trial registration numberNCT03014167; Pre-results.

scholarly journals Exploiting Data Analytics and Deep Learning Systems to Support Pavement Maintenance Decisions

2021 ◽  
Vol 11 (6) ◽  
pp. 2458
Author(s):  
Ronald Roberts ◽  
Laura Inzerillo ◽  
Gaetano Di Mino
Keyword(s):  
Deep Learning ◽  
Management Practices ◽  
Prediction Models ◽  
Road Networks ◽  
Pavement Management ◽  
Efficient Operation ◽  
Pavement Maintenance ◽  
Goods And Services ◽  
Maintenance Decisions ◽  
Computational Systems

Road networks are critical infrastructures within any region and it is imperative to maintain their conditions for safe and effective movement of goods and services. Road Management, therefore, plays a key role to ensure consistent efficient operation. However, significant resources are required to perform necessary maintenance activities to achieve and maintain high levels of service. Pavement maintenance can typically be very expensive and decisions are needed concerning planning and prioritizing interventions. Data are key towards enabling adequate maintenance planning but in many instances, there is limited available information especially in small or under-resourced urban road authorities. This study develops a roadmap to help these authorities by using flexible data analysis and deep learning computational systems to highlight important factors within road networks, which are used to construct models that can help predict future intervention timelines. A case study in Palermo, Italy was successfully developed to demonstrate how the techniques could be applied to perform appropriate feature selection and prediction models based on limited data sources. The workflow provides a pathway towards more effective pavement maintenance management practices using techniques that can be readily adapted based on different environments. This takes another step towards automating these practices within the pavement management system.

scholarly journals Developing Pavement Marking Management Systems: A Theoretical Model Framework Based on the Experiences of the US Transportation Agencies

2021 ◽  
Vol 6 (2) ◽  
pp. 18
Author(s):  
Alireza Sassani ◽  
Omar Smadi ◽  
Neal Hawkins
Keyword(s):  
Asset Management ◽  
Management Practices ◽  
Relevant Literature ◽  
Building Blocks ◽  
Management Systems ◽  
Model Framework ◽  
Pavement Markings ◽  
The Us ◽  
Pavement Marking ◽  
Transportation Agencies

Pavement markings are essential elements of transportation infrastructure with critical impacts on safety and mobility. They provide road users with the necessary information to adjust driving behavior or make calculated decisions about commuting. The visibility of pavement markings for drivers can be the boundary between a safe trip and a disastrous accident. Consequently, transportation agencies at the local or national levels allocate sizeable budgets to upkeep the pavement markings under their jurisdiction. Infrastructure asset management systems (IAMS) are often biased toward high-capital-cost assets such as pavements and bridges, not providing structured asset management (AM) plans for low-cost assets such as pavement markings. However, recent advances in transportation asset management (TAM) have promoted an integrated approach involving the pavement marking management system (PMMS). A PMMS brings all data items and processes under a comprehensive AM plan and enables managing pavement markings more efficiently. Pavement marking operations depend on location, conditions, and AM policies, highly diversifying the pavement marking management practices among agencies and making it difficult to create a holistic image of the system. Most of the available resources for pavement marking management focus on practices instead of strategies. Therefore, there is a lack of comprehensive guidelines and model frameworks for developing PMMS. This study utilizes the existing body of knowledge to build a guideline for developing and implementing PMMS. First, by adapting the core AM concepts to pavement marking management, a model framework for PMMS is created, and the building blocks and elements of the framework are introduced. Then, the caveats and practical points in PMMS implementation are discussed based on the US transportation agencies’ experiences and the relevant literature. This guideline is aspired to facilitate PMMS development for the agencies and pave the way for future pavement marking management tools and databases.

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