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Geographic Information System (GIS) modeling approach to determine the fastest delivery routes
This study involves the adoption of the Geographic Information System (GIS) modeling approach to determine the quickest routes for fresh vegetable delivery. During transport, fresh vegetables mainly deteriorate on account of temperature and delivery time. Nonetheless, little attention has been direc...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4992097/ https://www.ncbi.nlm.nih.gov/pubmed/27579003 http://dx.doi.org/10.1016/j.sjbs.2015.06.004 |
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author | Abousaeidi, Mohammad Fauzi, Rosmadi Muhamad, Rusnah |
author_facet | Abousaeidi, Mohammad Fauzi, Rosmadi Muhamad, Rusnah |
author_sort | Abousaeidi, Mohammad |
collection | PubMed |
description | This study involves the adoption of the Geographic Information System (GIS) modeling approach to determine the quickest routes for fresh vegetable delivery. During transport, fresh vegetables mainly deteriorate on account of temperature and delivery time. Nonetheless, little attention has been directed to transportation issues in most areas within Kuala Lumpur. In addition, perishable food normally has a short shelf life, thus timely delivery significantly affects delivery costs. Therefore, selecting efficient routes would consequently reduce the total transportation costs. The regression model is applied in this study to determine the parameters that affect route selection with respect to the fastest delivery of fresh vegetables. For the purpose of this research, ArcGIS software with network analyst extension is adopted to solve the problem of complex networks. The final output of this research is a map of quickest routes with the best delivery times based on all variables. The variables tested from regression analysis are the most effective parameters to make the flow of road networks slower. The objective is to improve the delivery services by achieving the least drive time. The main findings of this research are that Land use such as residential area and population as variables are the effective parameters on drive time. |
format | Online Article Text |
id | pubmed-4992097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-49920972016-08-30 Geographic Information System (GIS) modeling approach to determine the fastest delivery routes Abousaeidi, Mohammad Fauzi, Rosmadi Muhamad, Rusnah Saudi J Biol Sci Original Article This study involves the adoption of the Geographic Information System (GIS) modeling approach to determine the quickest routes for fresh vegetable delivery. During transport, fresh vegetables mainly deteriorate on account of temperature and delivery time. Nonetheless, little attention has been directed to transportation issues in most areas within Kuala Lumpur. In addition, perishable food normally has a short shelf life, thus timely delivery significantly affects delivery costs. Therefore, selecting efficient routes would consequently reduce the total transportation costs. The regression model is applied in this study to determine the parameters that affect route selection with respect to the fastest delivery of fresh vegetables. For the purpose of this research, ArcGIS software with network analyst extension is adopted to solve the problem of complex networks. The final output of this research is a map of quickest routes with the best delivery times based on all variables. The variables tested from regression analysis are the most effective parameters to make the flow of road networks slower. The objective is to improve the delivery services by achieving the least drive time. The main findings of this research are that Land use such as residential area and population as variables are the effective parameters on drive time. Elsevier 2016-09 2015-09-10 /pmc/articles/PMC4992097/ /pubmed/27579003 http://dx.doi.org/10.1016/j.sjbs.2015.06.004 Text en © 2015 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Abousaeidi, Mohammad Fauzi, Rosmadi Muhamad, Rusnah Geographic Information System (GIS) modeling approach to determine the fastest delivery routes |
title | Geographic Information System (GIS) modeling approach to determine the fastest delivery routes |
title_full | Geographic Information System (GIS) modeling approach to determine the fastest delivery routes |
title_fullStr | Geographic Information System (GIS) modeling approach to determine the fastest delivery routes |
title_full_unstemmed | Geographic Information System (GIS) modeling approach to determine the fastest delivery routes |
title_short | Geographic Information System (GIS) modeling approach to determine the fastest delivery routes |
title_sort | geographic information system (gis) modeling approach to determine the fastest delivery routes |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4992097/ https://www.ncbi.nlm.nih.gov/pubmed/27579003 http://dx.doi.org/10.1016/j.sjbs.2015.06.004 |
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