scholarly journals Health co-benefits in mortality avoidance from implementation of the mass rapid transit (MRT) system in Kuala Lumpur, Malaysia

2016 ◽  
Vol 31 (1) ◽  
Author(s):  
Soo Chen Kwan ◽  
Marko Tainio ◽  
James Woodcock ◽  
Jamal Hisham Hashim
Keyword(s):  
Transport Infrastructure ◽  
Rapid Transit ◽  
Kuala Lumpur ◽  
First Line ◽  
Potential Health ◽  
Urban Rail ◽  
Infrastructure Project ◽  
Local Transport ◽  
Change Mitigation ◽  
Mass Rapid Transit

AbstractThe mass rapid transit (MRT) is the largest transport infrastructure project under the national key economic area (NKEA) in Malaysia. As urban rail is anticipated to be the future spine of public transport network in the Greater Kuala Lumpur city, it is important to mainstream climate change mitigation and public health benefits in the local transport development. This study quantifies the health co-benefits in terms of mortality among the urbanites when the first line of the 150 km MRT system in Kuala Lumpur commences by 2017.Using comparative health risk assessment, we estimated the potential health co-benefits from the establishment of the MRT system. We estimated the reduced COA total of 363,130 tonnes of COThe implementation of the MRT system in Greater Kuala Lumpur could bring substantial health co-benefits to both the general population and the MRT users mainly from the avoidance of mortality from traffic injuries.

scholarly journals The carbon savings and health co-benefits from the introduction of mass rapid transit system in Greater Kuala Lumpur, Malaysia

2017 ◽  
Vol 6 ◽  
pp. 187-200 ◽  
Author(s):  
Soo Chen Kwan ◽  
Marko Tainio ◽  
James Woodcock ◽  
Rosnah Sutan ◽  
Jamal Hisham Hashim
Keyword(s):  
Rapid Transit ◽  
Kuala Lumpur ◽  
Transit System ◽  
Mass Rapid Transit

CHALLENGES IN DESIGN AND CONSTRUCTION OF DEEP EXCAVATION FOR KVMRT IN KUALA LUMPUR LIMESTONE FORMATION

2016 ◽  
Vol 78 (8-5) ◽  
Author(s):  
Yean-Chin Tan ◽  
Chee-Meng Chow ◽  
Kuan-Seng Koo ◽  
Ramli Nazir
Keyword(s):  
Rapid Transit ◽  
Deep Excavation ◽  
Kuala Lumpur ◽  
Experience Design ◽  
Karstic Features ◽  
Unique Experience ◽  
Klang Valley ◽  
Karstic Limestone ◽  
Design And Construction ◽  
Mass Rapid Transit

The Klang Valley Mass Rapid Transit (KVMRT) Sungai Buloh - Kajang Line project is the first Mass Rapid Transit (MRT) project in Malaysia. The  KVMRT  Project  when completed  will  cover  a  distance  of  51km  and  comprises  of  31 passenger  stations.  This paper covers the challenges in design and construction of deep excavation works for three underground stations, namely Tun Razak Exchange (TRX) station, Cochrane Station and Maluri Station, as well as one portal (South Portal) all located in Kuala Lumpur limestone formation. The Kuala Lumpur Limestone formation exhibits notorious karstic features with irregular bedrock profiles, variable weathering condition, cavities and slime zones. This paper presents the design principles of temporary earth retaining system together with vertical rock excavation to the final depth of the station in karstic limestone formation. The unique experience (design and construction) gained from this project will be a useful reference for similar excavation works, especially in karstic limestone formation

scholarly journals HARD SKILL VS SOFT SKILL IN THE ACHIEVEMENT OF EMPLOYEES IN JAKARTA MASS RAPID TRANSIT (MRT) INFRASTRUCTURE PROJECT

Akademika ◽  
2020 ◽  
Vol 9 (02) ◽  
pp. 29-42
Author(s):  
Iffah Budiningsih ◽  
Tjiptogoro Dinarjo Soehari ◽  
Marlison Marlison
Keyword(s):  
Soft Skills ◽  
Employee Performance ◽  
High Accuracy ◽  
Rapid Transit ◽  
Soft Skill ◽  
Performance Achievement ◽  
Hard Skills ◽  
Infrastructure Project ◽  
The Mathematical Model ◽  
Mass Rapid Transit

Optimal employee performance is influenced by factors such as hard-skills and soft-skills. The aim of this research is to identify influence of hard-skill and soft-skills contribute achieving the performance of the Jakarta Mass Rapid Transit (MRT) infrastructure project. The research method using a survey and the number of saturated samples is 57 employees of the Jakarta MRT infrastructure project (from 6 companies consortium). Technique of data analysis is using correlation, simple & multi regression with the SPSS program. The results of this study are following; 1) hard-skills partially influence significantly on the performance of the MRT infrastructure project employees, although only contributed 10% in the achievement of employee performance; 2) the mathematical model Y = 2,284 + 0364 X1 can be used to predict the performance achievement of employees infrastructure projects; 3) soft-skills in partial or simultaneal  with hard-skill does not give a real influence on the achievement of employee performance of infrastructure project; 4) for more types of work relying on technic-skills related to high accuracy, the performance of its employees is more influenced by hard-skills; 5) The need to include a soft-skill that is in accordance with the hard-skills learned in the process of learning as a hidden curriculum.

scholarly journals Emulating Software-Defined Disaggregated Optical Networks in a Containerized Framework

2021 ◽  
Vol 11 (5) ◽  
pp. 2081
Author(s):  
Francisco-Javier Moreno-Muro ◽  
Miquel Garrich ◽  
Ignacio Iglesias-Castreño ◽  
Safaa Zahir ◽  
Pablo Pavón-Mariño
Keyword(s):  
Optical Networks ◽  
Transport Infrastructure ◽  
Optical Systems ◽  
Traffic Demand ◽  
Novel Approach ◽  
Infrastructure Project ◽  
Optical Layer ◽  
Optical Domain ◽  
Control And Management ◽  
Remote Communications

Telecom operators’ infrastructure is undergoing high pressure to keep the pace with the traffic demand generated by the societal need of remote communications, bandwidth-hungry applications, and the fulfilment of 5G requirements. Software-defined networking (SDN) entered in scene decoupling the data-plane forwarding actions from the control-plane decisions, hence boosting network programmability and innovation. Optical networks are also capitalizing on SDN benefits jointly with a disaggregation trend that holds the promise of overcoming traditional vendor-locked island limitations. In this work, we present our framework for disaggregated optical networks that leverages on SDN and container-based management for a realistic emulation of deployment scenarios. Our proposal relies on Kubernetes for the containers’ control and management, while employing the NETCONF protocol for the interaction with the light-weight software entities, i.e., agents, which govern the emulated optical devices. Remarkably, our agents’ structure relies on components that offer high versatility for accommodating the wide variety of components and systems in the optical domain. We showcase our proposal with the emulation of an 18-node European topology employing Cassini-compliant optical models, i.e., a state-of-the-art optical transponder proposed in the Telecom Infrastructure Project. The combination of our versatile framework based on containerized entities, the automatic creation of agents and the optical-layer characteristics represents a novel approach suitable for operationally complex carrier-grade transport infrastructure with SDN-based disaggregated optical systems.

Visual Recognition System of Elastic Rail Clips for Mass Rapid Transit Systems

2007 ◽  
Author(s):  
Hsiang-Yu Hsieh ◽  
Nanming Chen ◽  
Ching-Lung Liao
Keyword(s):  
Visual Recognition ◽  
Experimental Testing ◽  
Recognition System ◽  
Morphological Processing ◽  
Driving Safety ◽  
Rapid Transit ◽  
Grey Level ◽  
Railway Transportation ◽  
Transit Systems ◽  
Mass Rapid Transit

In recent years, the railway transportation system has become one of the main means of transportation. Therefore, driving safety is of great importance. However, because of the potential of multiple breaks of elastic rail clips in a fixed rail, accidents may occur when a train passes through the track. This paper presents the development of a computer visual recognition system which can detect the status of elastic rail clips. This visual recognition system can be used in mass rapid transit systems to reduce the substantial need of manpower for checking elastic rail clips at present. The visual recognition system under current development includes five components: preprocessing, identification of rail position, search of elastic rail clip regions, selection of the elastic rail clip, and recognition of the elastic rail clip. The preprocessing system transforms the colored images into grey-level images and eliminates noises. The identification of rail position system uses characteristics of the grey-level variation and confirms the rail position. The search system uses wavelet transformation to carry out the search of elastic rail clip regions. The selection system finds a suitable threshold, using techniques from morphological processing, object search and image processing. The recognition system processes characteristics and structures of elastic rail clips. Experimental testing shows the ability of the developed system to recognize both normal elastic rail clip images and broken elastic rail clip images. This result confirms the feasibility in developing such a visual recognition system.

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