Cases Study on the Acceptance Disputes of Taiwan MRT E&M Systems From the Perspective of Risk Allocation

Author(s):  
Ko-Ming Hsu ◽  
Frank Yeh ◽  
Ting-Ya Hsieh

Rail construction is an essential part of the Taiwan transportation projects. Since the mass rapid transit systems are powering by electricity, the successful installation of rail work built under the core electrical & mechanical system is also the key factor of the transit system integration. For cases discussed in this research, since the client needed to apply these contracts of civil laws after the completion yet before acceptance, two problems might be generated under such circumstances: 1) if there was any matter which could not be imputed on either party caused the failure of the contract, which party should be responsible for the result; 2) if there was any cease of operation or casualties and other damages during the verification of system stability and availability, which party should be responsible. The resolve of these problems was in fact a result of risk allocation through contracts. Due to that the risk allocation principals might vary due to the prediction and planning of different parties, based on the contractual freedom idea in Taiwan, if we wish to pursue the risk allocation, this reach point out the procedures it should be. From the case study of this research, it could be seen that one applicable idea of risk distribution, yet in the verification of individual cases, there would be concerns for different ideas due to specific abstract risk allocation ideas. There might be further research into the detailed standards for risk allocation to resolve the potential doubt.

Author(s):  
Mao-Chang Shih ◽  
Hani S. Mahmassani ◽  
M. Hadi Baaj

A heuristic model is presented for the design of bus transit networks with coordinated operations. Different from past solution methodologies focusing on conventional uncoordinated transit systems, this model addresses the design of transit networks with coordinated operations, using a transit center concept and incorporating a trip assignment model explicitly developed for coordinated (timed-transfer) systems. In addition, this model determines the appropriate vehicle size for each bus route and incorporates demand-responsive capabilities to meet demand that cannot be served effectely by fixed-route, fixed-schedule services. This model is composed of four major procedures: ( a) a route generation procedure (RGP), which constructs the transit network around the transit center concept; ( b) a network analysis procedure, which incorporates a trip assignment model (for both coordinated and uncoordinated operations) and a frequency-setting and vehicle-sizing procedure; ( c) a transit center selection procedure, which identifies the suitable transit centers for route coordination; and ( d) a network improvement procedure, which improves on the set of routes generated by the RGP. The model is demonstrated via a case-study application to data generated from the existing transit system in Austin, Texas.


Author(s):  
Deborah Matherly

The state of Indiana provides operating assistance to transit operators throughout the state. The original formula was designed to reward performance but over time became inflexible to changing situations. The Indiana Department of Transportation (INDOT) initiated a study to “create a rational and equitable mechanism for the distribution of State operating assistance to urban and rural transit providers throughout Indiana.” This objective was accomplished through an extensive process that involved the affected transit systems, including a survey of all systems and five meetings with transit system representatives. Transit system preferences were a major deciding factor in selecting specific performance measures and in consideration of factors of importance to the affected systems. The final recommendation was developed under the direction of INDOT and is under senior government review. The recommendation provides a funding mechanism that is flexible, provides comparisons within peer groups and rewards the transit systems within each group that are best serving their customers and providing cost-effective service to their communities, and provides incentives and a phase-in period to encourage systems to improve. The process of developing the formula and its potential application to other states are described.


2017 ◽  
Vol 2648 (1) ◽  
pp. 111-116
Author(s):  
Jian Sheng Yeung ◽  
Jason B. P. Lee ◽  
Yun Han Wee ◽  
Keng Seng Mak

Rapid transit systems (RTSs) will increasingly play an important role in the daily commute. However, RTSs are complex systems and are susceptible to degradation over time, and recurring RTS service disruptions are inevitable. Therefore, resilience should be considered in the design of an RTS network, to provide commuters alternative paths that enable them to work around service disruptions. This paper proposes a commuter-centric resilience index for RTS networks that is based on the concept of an acceptable commute time. The proposed index was applied to the Singapore Mass Rapid Transit network, and the findings revealed that the introduction of each new rail line increased the resilience of the RTS network. Ring lines or orbital lines appeared to be most effective in improving network resilience. The resilience index can also be determined for individual stations to help planners identify gaps in the RTS network and to provide useful insight for land use and transport planning. The proposed index would be applicable to RTS networks in other cities or regions, but while information on an RTS network can be sourced from the public domain, computation of the index requires the corresponding commuter trip data.


2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Rong Hu ◽  
Yi-Chang Chiu ◽  
Chih-Wei Hsieh ◽  
Tang-Hsien Chang ◽  
Xingsi Xue ◽  
...  

In this study, we developed a model re-sample Recurrent Neural Network (RRNN) to forecast passenger traffic on Mass Rapid Transit Systems (MRT). The Recurrent Neural Network was applied to build a model to perform passenger traffic prediction, where the forecast task was transformed into a classification task. However, in this process, the training dataset usually ended up being imbalanced. To address this dataset imbalance, our research proposes re-sample Recurrent Neural Network. A case study of the California Mass Rapid Transit System revealed that the model introduced in this work could timely and effectively predict passenger traffic of MRT. The measurements of passenger traffic themselves were also studied and showed that the new method provided a good understanding of the level of passenger traffic and was able to achieve prediction accuracy upwards of 90% higher than standard tests. The development of this model adds value to the methodology of traffic applications by employing these Recurrent Neural Networks.


2012 ◽  
Vol 6 (1-3) ◽  
pp. 309-329
Author(s):  
Claudia V. Camp

I propose that the notion of possession adds an important ideological nuance to the analyses of iconic books set forth by Martin Marty (1980) and, more recently, by James Watts (2006). Using the early second century BCE book of Sirach as a case study, I tease out some of the symbolic dynamics through which the Bible achieved iconic status in the first place, that is, the conditions in which significance was attached to its material, finite shape. For Ben Sira, this symbolism was deeply tied to his honor-shame ethos in which women posed a threat to the honor of his eternal name, a threat resolved through his possession of Torah figured as the Woman Wisdom. What my analysis suggests is that the conflicted perceptions of gender in Ben Sira’s text is fundamental to his appropriation of, and attempt to produce, authoritative religious literature, and thus essential for understanding his relationship to this emerging canon. Torah, conceived as female, was the core of this canon, but Ben Sira adds his own literary production to this female “body” (or feminized corpus, if you will), becoming the voice of both through the experience of perfect possession.


2020 ◽  
pp. 095792652097721
Author(s):  
Janaina Negreiros Persson

In this article, we explore how the discourses around gender are evolving at the core of Brazilian politics. Our focus lies on the discourses at the public hearing on the bill 3.492/19, which aimed at including “gender ideology” on the list of heinous crimes. We aim to identify the deputies’ linguistic representation of social actors as pertaining to in- and outgroups. In addition, the article analyzes through Critical Discourse Analysis how the terminology gender is represented in this particular hearing. The analysis shows how some of the conservative parliamentarians give a clearly negative meaning to the term gender, by labeling it “gender ideology” and additionally connecting it with heinous crimes. We propose that the re-signification of “gender ideology,” from rhetorical invention to heinous crime, is not only an attempt to undermine scientific gender studies but also a way for conservative deputies to gain more political power.


2021 ◽  
Vol 7 (12) ◽  
pp. eabc9800
Author(s):  
Ryan J. Gallagher ◽  
Jean-Gabriel Young ◽  
Brooke Foucault Welles

Core-periphery structure, the arrangement of a network into a dense core and sparse periphery, is a versatile descriptor of various social, biological, and technological networks. In practice, different core-periphery algorithms are often applied interchangeably despite the fact that they can yield inconsistent descriptions of core-periphery structure. For example, two of the most widely used algorithms, the k-cores decomposition and the classic two-block model of Borgatti and Everett, extract fundamentally different structures: The latter partitions a network into a binary hub-and-spoke layout, while the former divides it into a layered hierarchy. We introduce a core-periphery typology to clarify these differences, along with Bayesian stochastic block modeling techniques to classify networks in accordance with this typology. Empirically, we find a rich diversity of core-periphery structure among networks. Through a detailed case study, we demonstrate the importance of acknowledging this diversity and situating networks within the core-periphery typology when conducting domain-specific analyses.


Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 164
Author(s):  
Jianwei Shao ◽  
Cuidong Xu ◽  
Ka Wai Eric Cheng

The rail transit system is a large electric vehicle system that is strongly dependent on the energy technologies of the power system. The use of new energy-saving amorphous alloy transformers can not only reduce the loss of rail transit power, but also help alleviate the power shortage situation and electromagnetic emissions. The application of the transformer in the field of rail transit is limited by the problem that amorphous alloy is prone to debris. this paper studied the stress conditions of amorphous alloy transformer cores under different working conditions and determined that the location where the core is prone to fragmentation, which is the key problem of smoothly integrating amorphous alloy distribution transformers on rail transit power supply systems. In this study, we investigate the changes in the electromagnetic field and stress of the amorphous alloy transformer core under different operating conditions. The finite element model of an amorphous alloy transformer is established and verified. The simulation results of the magnetic field and stress of the core under different working conditions are given. The no-load current and no-load loss are simulated and compared with the actual experimental data to verify practicability of amorphous alloy transformers. The biggest influence on the iron core is the overload state and the maximum value is higher than the core stress during short circuit. The core strain caused by the side-phase short circuit is larger than the middle-phase short circuit.


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