A generic terminal macro simulation model for measuring operational performance

2019 ◽  
Author(s):  
Sonja M. Protic ◽  
Manfred Gronalt
Keyword(s):  
Time Delays ◽  
Decision Support Tool ◽  
Strategic Decision ◽  
Operational Performance ◽  
Generic Model ◽  
Holistic View ◽  
Support Tool ◽  
Long Time ◽  
Main Components ◽  
Generic System

Strategic decision making linked to the development of intermodal transport terminals is marked by high complexity. Terminal operators need to cope with uncertainties and potential cascading impacts of decisions which were taken a long time ago. The aim of this paper is to present a generic System Dynamics (SD) model of a terminal’s operational performance. SD is used to capture a holistic view on a dynamic system, which is characterized by complex feedback structures, nonlinear processes, uncertainties and time delays. After introducing the qualitative Causal Loop Diagram (CLD), the underlying hypotheses are transposed into a quantitative Stock-and-Flow (S&F) model. The main components and its input data are explained. The generic model can be used as a decision support tool to bridge the gap from a detailed view to an understanding of longterm consequences. It offers multiple areas of application, which are briefly discussed.

scholarly journals Development model of train rescheduling model consider predictive delay

2018 ◽  
Vol 204 ◽  
pp. 07004 ◽  
Author(s):  
Kurnia Iswardani ◽  
Ahmad Rusdiansyah
Keyword(s):  
Decision Support ◽  
Delay Time ◽  
Decision Support Tool ◽  
Development Model ◽  
Single Track ◽  
Preventive Action ◽  
Total Delay ◽  
Support Tool ◽  
Train Rescheduling ◽  
Long Time

Delay on the train is caused by some disturbance that occurs on the train or at the station, such as a broken train engine, broken train line signals, and others. The train operator at the station will reschedule the train schedule in the event of a delay. Currently, the train only reschedules when the delay occurs on the spot, consequently the rescheduling determination takes a long time. This can be anticipated by taking preventive action, ie rescheduling by using predictive delay. Possible conflicts that will occur when rescheduling single track are overtaking and crossing. This research will focus on the development of rescheduling considering predictive delay. The purpose of this study is to minimize the total delay time. The output of this research is a decision support tool that can generate free-conflict timetable when delay occurs.

scholarly journals Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change

2015 ◽  
Vol 15 (7) ◽  
pp. 1457-1471 ◽  
Author(s):  
P. J. Knight ◽  
T. Prime ◽  
J. M. Brown ◽  
K. Morrissey ◽  
A. J. Plater
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Sea Level Rise ◽  
Sea Level ◽  
Flood Risk ◽  
Decision Support Tool ◽  
Strategic Decision ◽  
Web Based ◽  
Essential Information ◽  
Support Tool

Abstract. A pressing problem facing coastal decision makers is the conversion of "high-level" but plausible climate change assessments into an effective basis for climate change adaptation at the local scale. Here, we describe a web-based, geospatial decision support tool (DST) that provides an assessment of the potential flood risk for populated coastal lowlands arising from future sea-level rise, coastal storms, and high river flows. This DST has been developed to support operational and strategic decision making by enabling the user to explore the flood hazard from extreme events, changes in the extent of the flood-prone areas with sea-level rise, and thresholds of sea-level rise where current policy and resource options are no longer viable. The DST is built in an open-source GIS that uses freely available geospatial data. Flood risk assessments from a combination of LISFLOOD-FP and SWAB (Shallow Water And Boussinesq) models are embedded within the tool; the user interface enables interrogation of different combinations of coastal and river events under rising-sea-level scenarios. Users can readily vary the input parameters (sea level, storms, wave height and river flow) relative to the present-day topography and infrastructure to identify combinations where significant regime shifts or "tipping points" occur. Two case studies demonstrate the attributes of the DST with respect to the wider coastal community and the UK energy sector. Examples report on the assets at risk and illustrate the extent of flooding in relation to infrastructure access. This informs an economic assessment of potential losses due to climate change and thus provides local authorities and energy operators with essential information on the feasibility of investment for building resilience into vulnerable components of their area of responsibility.

Risk Calculator to Predict 30-Day Readmission After Coronary Artery Bypass: A Strategic Decision Support Tool

2019 ◽  
Vol 28 (12) ◽  
pp. 1896-1903 ◽  
Author(s):  
Salil V. Deo ◽  
Sajjad Raza ◽  
Salah E. Altarabsheh ◽  
Vaishali S. Deo ◽  
Yakov E. Elgudin ◽  
...  
Keyword(s):  
Decision Support ◽  
Coronary Artery ◽  
Coronary Artery Bypass ◽  
Artery Bypass ◽  
Decision Support Tool ◽  
Strategic Decision ◽  
Risk Calculator ◽  
Support Tool ◽  
Strategic Decision Support

scholarly journals Modelling the Accessibility Classification of Railway Lines: A case study of Northeast China railway network

2013 ◽  
Vol 25 (5) ◽  
pp. 467-474 ◽  
Author(s):  
Mian Yang ◽  
Y.J. Wang
Keyword(s):  
Northeast China ◽  
Decision Support Tool ◽  
Strategic Decision ◽  
Classification Model ◽  
Railway Network ◽  
Support Tool ◽  
China Railway

A major problem addressed in railway network planning relates to distinguishing the role of the railway line in the network, and making a reasonable classification of the lines based on their role. Accessibility has been widely used to measure the role of transportation infrastructure in various studies, but few quantitative models for the classification of the role have been presented yet. In this paper, the line accessibility classification model is proposed, which aims to distinguish the role of railway lines in the network and to classify the lines into different grades. The practicability of the model is demonstrated through the case study of Northeast China railway network where the railway lines in Northeast China can be classified into three grades. The line accessibility classification model is supposed to be a strategic decision support tool for planners and policy makers to determine the classification of railway lines.

A strategic decision support tool for indicating airport sustainability

2001 ◽  
Vol 16 (3) ◽  
pp. 297-298 ◽  
Author(s):  
Callum Thomas ◽  
David Raper ◽  
Paul Upham ◽  
David Gillingwater ◽  
Yingjie Yang ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Strategic Decision ◽  
Support Tool ◽  
Strategic Decision Support

scholarly journals Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change

2015 ◽  
Vol 3 (2) ◽  
pp. 1615-1642 ◽  
Author(s):  
P. J. Knight ◽  
T. Prime ◽  
J. M. Brown ◽  
K. Morrissey ◽  
A. J. Plater
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Sea Level Rise ◽  
Sea Level ◽  
Flood Risk ◽  
Decision Support Tool ◽  
Strategic Decision ◽  
Web Based ◽  
Essential Information ◽  
Support Tool

Abstract. A pressing problem facing coastal decision makers is the conversion of "high level" but plausible climate change assessments into an effective basis for climate change adaptation at the local scale. Here, we describe a web-based, geospatial decision-support tool (DST) that provides an assessment of the potential flood risk for populated coastal lowlands arising from future sea-level rise, coastal storms and high river flows. This DST has been developed to support operational and strategic decision making by enabling the user to explore the flood hazard from extreme events, changes in the extent of the flood-prone areas with sea-level rise, and thresholds of sea-level rise where current policy and resource options are no longer viable. The DST is built in an open source GIS that uses freely available geospatial data. Flood risk assessments from a combination of LISFLOOD-FP and SWAB models are embedded within the tool; the user interface enables interrogation of different combinations of coastal and river events under rising sea-level scenarios. Users can readily vary the input parameters (sea level, storms, wave height and river flow) relative to the present-day topography and infrastructure to identify combinations where significant regime shifts or "tipping points" occur. Two case studies are used to demonstrate the attributes of the DST with respect to the wider coastal community and the UK energy sector. Examples report on the assets at risk and illustrate the extent of flooding in relation to infrastructure access. This informs an economic assessment of potential losses due to climate change and thus provides local authorities and energy operators with essential information on the feasibility of investment for building resilience into vulnerable components of their area of responsibility.

A protocol for sampling pastures in hill country

2016 ◽  
Vol 78 ◽  
pp. 203-209 ◽  
Author(s):  
K.J. Hutchinson ◽  
D.R. Scobie ◽  
J. Beautrais ◽  
A.D. Mackay ◽  
G.M. Rennie ◽  
...  
Keyword(s):  
Random Sampling ◽  
Geographical Information Systems ◽  
Field Measurements ◽  
Decision Support Tool ◽  
Accurate Estimate ◽  
Ease Of Use ◽  
Geographical Information ◽  
Support Tool ◽  
Topographic Complexity ◽  
Hill Country

To develop a protocol to guide pasture sampling for estimation of paddock pasture mass in hill country, a range of pasture sampling strategies, including random sampling, transects and stratification based on slope and aspect, were evaluated using simulations in a Geographical Information Systems computer environment. The accuracy and efficiency of each strategy was tested by sampling data obtained from intensive field measurements across several farms, regions and seasons. The number of measurements required to obtain an accurate estimate was related to the overall pasture mass and the topographic complexity of a paddock, with more variable paddocks requiring more samples. Random sampling from average slopes provided the best balance between simplicity and reliability. A draft protocol was developed from the simulations, in the form of a decision support tool, where visual determination of the topographic complexity of the paddock, along with the required accuracy, were used to guide the number of measurements recommended. The protocol was field tested and evaluated by groups of users for efficacy and ease of use. This sampling protocol will offer farmers, consultants and researchers an efficient, reliable and simple way to determine pasture mass in New Zealand hill country settings. Keywords: hill country, feed budgeting, protocol pasture mass, slope

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