Philippine Greater Capital Region logistics optimization

Logistics sprawl is a problem that poses challenges in sustaining economic growth, especially in developing countries. In the Philippine Greater Capital Region, on top of the resulting operational losses incurred by the freight transport industry and the economy, it also negatively impacts the commu...

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Main Author: Roquel, Krister Ian Daniel Z.
Format: text
Language:English
Published: Animo Repository 2018
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Online Access:https://animorepository.dlsu.edu.ph/etd_doctoral/536
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_doctoral-1535
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spelling oai:animorepository.dlsu.edu.ph:etd_doctoral-15352021-05-17T13:20:08Z Philippine Greater Capital Region logistics optimization Roquel, Krister Ian Daniel Z. Logistics sprawl is a problem that poses challenges in sustaining economic growth, especially in developing countries. In the Philippine Greater Capital Region, on top of the resulting operational losses incurred by the freight transport industry and the economy, it also negatively impacts the community in terms of accident and emission costs, thus, showing the need for a comprehensive assessment of development programs to optimize freight transport operations. The co-benefits framework was employed to evaluate several policy scenarios using benefits of travel time and operating cost reductions and savings in accident and CO2, SOx, NOx, and PM emission costs as assessment metrics. Moreover, on account of the country's exposure to the strongest typhoons, resilience was incorporated and quantified as economic loss savings, estimated using an Input-Output (IO) model, where a disruption in freight transport operations (e.g. flooding) is taken as the initial perturbation. Using co-benefits and resilience metrics, three freight optimization programs: a) Freight volume shift to outer ports b) Freight consolidation centers and c) Rail freight station, were assessed. With this approach, each development programs applicability in the local setting was tested. Considering logistics operating conditions specific to the study area, the various programs configuration was also explored to determine how these programs can be best implemented. By taking the existing limitations and practical reasoning into consideration, how the underlying mechanisms of the program contribute to its overall viability were established. As such, means by which these programs could be optimized were also analyzed. Furthermore, with relatively novel applications in transport policy assessment applications, how the CB and IO frameworks can be integrated was also examined. Through in-depth analysis of the concepts and rationale behind the research methodologies, a comprehensive breakdown of its various components provided an avenue for investigation on how these could be calibrated and tailored to fit the study setting and adequately provide what was needed from the research conducted. With a thorough examination of how these research frameworks ultimately produce their outputs, integration of findings was made possible. 2018-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_doctoral/536 Dissertations English Animo Repository Freight and freightage Civil Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Freight and freightage
Civil Engineering
spellingShingle Freight and freightage
Civil Engineering
Roquel, Krister Ian Daniel Z.
Philippine Greater Capital Region logistics optimization
description Logistics sprawl is a problem that poses challenges in sustaining economic growth, especially in developing countries. In the Philippine Greater Capital Region, on top of the resulting operational losses incurred by the freight transport industry and the economy, it also negatively impacts the community in terms of accident and emission costs, thus, showing the need for a comprehensive assessment of development programs to optimize freight transport operations. The co-benefits framework was employed to evaluate several policy scenarios using benefits of travel time and operating cost reductions and savings in accident and CO2, SOx, NOx, and PM emission costs as assessment metrics. Moreover, on account of the country's exposure to the strongest typhoons, resilience was incorporated and quantified as economic loss savings, estimated using an Input-Output (IO) model, where a disruption in freight transport operations (e.g. flooding) is taken as the initial perturbation. Using co-benefits and resilience metrics, three freight optimization programs: a) Freight volume shift to outer ports b) Freight consolidation centers and c) Rail freight station, were assessed. With this approach, each development programs applicability in the local setting was tested. Considering logistics operating conditions specific to the study area, the various programs configuration was also explored to determine how these programs can be best implemented. By taking the existing limitations and practical reasoning into consideration, how the underlying mechanisms of the program contribute to its overall viability were established. As such, means by which these programs could be optimized were also analyzed. Furthermore, with relatively novel applications in transport policy assessment applications, how the CB and IO frameworks can be integrated was also examined. Through in-depth analysis of the concepts and rationale behind the research methodologies, a comprehensive breakdown of its various components provided an avenue for investigation on how these could be calibrated and tailored to fit the study setting and adequately provide what was needed from the research conducted. With a thorough examination of how these research frameworks ultimately produce their outputs, integration of findings was made possible.
format text
author Roquel, Krister Ian Daniel Z.
author_facet Roquel, Krister Ian Daniel Z.
author_sort Roquel, Krister Ian Daniel Z.
title Philippine Greater Capital Region logistics optimization
title_short Philippine Greater Capital Region logistics optimization
title_full Philippine Greater Capital Region logistics optimization
title_fullStr Philippine Greater Capital Region logistics optimization
title_full_unstemmed Philippine Greater Capital Region logistics optimization
title_sort philippine greater capital region logistics optimization
publisher Animo Repository
publishDate 2018
url https://animorepository.dlsu.edu.ph/etd_doctoral/536
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