Development of Asset Management Evaluation Framework in Rail Transit Environment: London Underground Public-Private Partnership

Adeney, William; Sinde, Asier; Woods, Michael

doi:10.3141/1986-05

Cited by 2 publications

(7 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Metro-North has implemented a bridge inventory and periodic inspection program to comply with the 2008 Federal Railroad Safety Improvement Act that uses a custom-built GIS application (9). However, the authors were not aware of any other GIS-led companywide approach to TEAM within the rail environment at the time this paper was written.…”

Section: Metro-north Commuter Railroad Case Studymentioning

confidence: 98%

Geographic Information System Concept of Operations as a First Step Toward Total Enterprise Asset Management: Metro-North Commuter Railroad Case Study

Kizner

Goldemberg

Shapiro³

et al. 2016

Transportation Research Record

View full text Add to dashboard Cite

For this enterprise geographic information system (GIS), Metro-NorthCommuter Railroad Company adopted the concept of operations (ConOps) process to define goals and objectives, inventory existing GIS assets, analyze data gaps, determine "as is" and "to be" business processes, define staffing and resource requirements and project initiatives, and provide a road map for a comprehensive, companywide GIS deployment. In contrast to the top-down approach typically employed in total enterprise asset management (TEAM) planning, Metro-North used a dynamic grassroots approach, holding 14 workshops, which were attended by 92 employees and were designed to collect GIS goals and objectives. The 122 goals generated from this process were distilled into eight companywide goals. These goals included increased efficiency, data sharing, and decision support. Initiatives were developed for five critical business areas that had the potential for demonstrating how enterprise GIS could help Metro-North accomplish its companywide and broader organizational goals. These pilot applications included visualizing straight-line diagrams, integrating property boundary data, retrieving drawings from the capital programs plan room, visualizing train tracking and delays, and visualizing ridership and demographics. This paper shows how a ConOps process could be used in railroad environments to think through GIS-related issues and to define concrete technology projects that provide tangible benefits to user departments and allow them to manage their assets and business issues. Although the focus of this study was on non-asset-related operations within the railroad, the ConOps process offers a user-centric systems planning approach that could be applied to TEAM efforts within the railroad industry or to the planning of corporate initiatives in any business environment.

show abstract

Section: Metro-north Commuter Railroad Case Studymentioning

confidence: 98%

Geographic Information System Concept of Operations as a First Step Toward Total Enterprise Asset Management: Metro-North Commuter Railroad Case Study

Kizner

Goldemberg

Shapiro³

et al. 2016

Transportation Research Record

View full text Add to dashboard Cite

show abstract

“…However, r 8 does not have any adjacent OD pair because no OD pair has the adjacent origin and destination station with r 8 ; thus, it is defined as an independent pattern. The frequency of the r 2 can be achieved by ρ(r 2 ) = 50/(70 * 300) = 0.0024, according to Equation (1). Here the number 70 and 300 indicate boarding passengers in origin station and drop off passengers in destination station respectively.…”

Section: Identification Of Movement Pattern Between Zonesmentioning

confidence: 99%

“…After the neighbors of the origin and destination stations are obtained, new OD pairs are obtained by permutation and combination, respectively. Hash technology can rapidly identify whether or not a corresponding OD pair exists in the dataset R, and the time consumption here is O (1).…”

Section: Algorithm 2 Expandclustermentioning

confidence: 99%

“…An efficient and convenient public transportation system is crucial because of the large population of a city and the considerable demand for transportation. At present, the evaluation of the convenience and patency of traffic is generally poor in first-tier urban areas [1]- [3]. Unreasonable distribution of traffic demand leads to problems, such as long-distance detours and passenger traffic congestion [4]- [6].…”

Section: Introductionmentioning

confidence: 99%

“…These algorithms are similar in terms of detecting movement pattern between zones. As shown in Figure 1 Evidently, these algorithms have the following limitations: (1) The relationship between the origin zone and destination zone in a movement pattern is not close, which means that the interaction between them is not significant, because few people from zone {s 14 , s 15 } visit zone {s 24 , s 25 }; and (2) the time complexity of these two algorithms is high to reach O(n * n), where n is the number of OD (Origin-Destination) pairs. Time consumption becomes a major problem when the amount of data is large.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Method to Mine Movement Patterns Between Zones: A Case Study of Subway Commuters in Shanghai

Zhou

Zhang

et al. 2019

IEEE Access

View full text Add to dashboard Cite

As identifying people's movements across zones can improve our understanding of transportation patterns and recommend strategies for urban planning such as precise locations for targeted advertisements, residential zoning, and transportation development. However, when the amount of data is large or the relationships between data are complex, traditional algorithms for movement patterns between zones become ineffective. We propose a new agglomeration algorithm, namely, the density-based movement patterns between zones (DBMPZ), to mine spatial clustering of movement patterns. To validate the proposed algorithm, we use a real-world dataset of subway commuters in Shanghai and some synthetic datasets to identify movement patterns between zones. The experiment results show that the proposed algorithm can effectively mine movement patterns between zones with high precision, effectiveness, and efficiency. In addition, the proposed algorithm can also play an important role in other regions or types of transportation dataset by modifying the clustering procedure.INDEX TERMS Movement pattern mining, spatial clustering, subway networks, zone analysis.

show abstract

Development of Asset Management Evaluation Framework in Rail Transit Environment: London Underground Public-Private Partnership

Cited by 2 publications

References 1 publication

Geographic Information System Concept of Operations as a First Step Toward Total Enterprise Asset Management: Metro-North Commuter Railroad Case Study

Geographic Information System Concept of Operations as a First Step Toward Total Enterprise Asset Management: Metro-North Commuter Railroad Case Study

A Method to Mine Movement Patterns Between Zones: A Case Study of Subway Commuters in Shanghai

Contact Info

Product

Resources

About