scholarly journals Effects of Traffic Loads and Track Parameters on Rail Wear: A Case Study for Yenikapi–Ataturk Airport Light Rail Transit Line

2020 ◽  
Vol 6 (4) ◽  
pp. 244-264
Author(s):  
Hazal Yılmaz Sönmez ◽  
Zübeyde Öztürk
Keyword(s):  
Traffic Load ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Independent Variables ◽  
Rail Wear ◽  
Traffic Loads ◽  
Dependent Variables ◽  
Train Speed

AbstractThe aim of this study is to investigate the effects of traffic loads and track parameters, including track curvature, superelevation, and train speed, on vertical and lateral rail wear. The Yenikapi–Ataturk Airport Light Rail Transit (LRT) line in Istanbul was selected as a case study, and rail wear measurements were carried out accordingly. Passenger counts were performed in all wagons of the train on different days and time intervals to calculate the number of passengers carried in track sections between stations regarding traffic loads on the LRT line. Values of traffic load, track curvature, superelevation, and speed were determined for each kilometer where measurements of rail wear were conducted. A multiple linear regression analysis (MLRA) method was used to identify effective parameters on rail wear. Independent variables in MLRA for both vertical and lateral wear include traffic load, track curvature, superelevation, and train speed. The dependent variables in MLRA for vertical and lateral wear are the amount of vertical and lateral wear, respectively. The correlation matrix of the dependent and independent variables was analyzed before performing MLRA. Multicollinearity tests and cross-validation analyses were conducted. According to the results of MLRA for vertical and lateral wear, the obtained coefficients of determination indicate that a high proportion of variance in the dependent variables can be explained by the independent variables. Traffic load has a statistically significant effect on the amount of vertical and lateral rail wear. However, track curvature, superelevation, and train speed do not have a statistically significant effect on the amount of vertical or lateral rail wear.

scholarly journals Pengendalian Waktu Produksi Balok Girder Dengan Menggunakan Metode CPM dan LoB

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Christofer Christofer ◽  
Anisah Anisah ◽  
Adhi Purnomo
Keyword(s):  
Waiting Time ◽  
Primary Data ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Beam Production ◽  
Fourth Cycle ◽  
Time Cycle ◽  
Line Of Balance

This research is purpose to control time in Girder beam production using CPM (Criticial Paht Method) and LoB (Line of Balance) to get maximum productions amount with  time adaptability precisely. This research is using count method and management of secondary and primary data that illustrated to graphic and diagram. Case study at project of building the overpass LRT (Light Rail Transit), to productions girder beam at PT. Adhi Karya Factory Precast Sentul. The result of this research shows that productions capability girder beam increase as much 21 unit girder beam per mount with speed track 59,4268 unit per hour, balance delay 42,3678 %, line efficiency 42,267 with time cycle that using is 68,5 hour in first cycle, 69 hours in second cycle, 69 hours in third cycle, 69 hours in fourth cycle and having waiting time that happen to every trun of cycle is one hour. So that the result of research can declare is happen productions acceleration with using CPM (Criticial Paht Method) and LoB (Line of Balance) is 10 hour per mount.

Estimating the Effects of Light Rail Transit (LRT) System on the Property Values in the Klang Valley, Malaysia: A Hedonic House Price Approach

2013 ◽  
Vol 61 (1) ◽  
Author(s):  
Mohd Faris Dziauddin ◽  
Seraphim Alvanides ◽  
Neil Powe
Keyword(s):  
House Prices ◽  
House Price ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Five Factors ◽  
Close Proximity ◽  
Klang Valley ◽  
Price Approach

This study investigates the increased value of land in the form of house prices as a result of improved accessibility owing to the construction of Light Rail Transit (LRT) systems. Kelana Jaya Line LRT system is chosen as the case study in this research. Hedonic house price modelling is employed to estimate the effects of the LRT system on the prices of the house that are located within the radius of two kilometres from the Kelana Jaya LRT stations. Selling prices, structural attributes, land use and socio–economic attributes were collected from the database of Department of Valuation and Services of Malaysia, selected maps and reports. Fifty-five factors that are likely to influence a house price were identified and used to estimate the overall effects of the LRT system on it. However, only significant variables were included in the final deliberation and these were identified by using correlation analysis and modified step–wise procedures. The outcome of this study shows a positive relationship between the existence of the LRT system and house prices. In other words, properties that are located within close proximity to the LRT station are valued more than properties that are located further away.

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