Optimal Location Analysis of Delivery Parcel-Pickup Points Using AHP and Network Huff Model: A Case Study of Shiweitang Sub-District in Guangzhou City, China
The use of parcel-pickup points (PPPs) is an effective approach for solving the last-mile problem. However, few studies provide specific guidance for the optimal organization of PPPs. Here, a geographic information system(GIS)-based hybrid model was developed combining the widely used analytic hiera...
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doaj-7829953195224dc3a5c83d30d834fe472020-11-25T01:37:45ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-03-019419310.3390/ijgi9040193ijgi9040193Optimal Location Analysis of Delivery Parcel-Pickup Points Using AHP and Network Huff Model: A Case Study of Shiweitang Sub-District in Guangzhou City, ChinaZilai Zheng0Takehiro Morimoto1Yuji Murayama2Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8572, JapanFaculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8572, JapanFaculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8572, JapanThe use of parcel-pickup points (PPPs) is an effective approach for solving the last-mile problem. However, few studies provide specific guidance for the optimal organization of PPPs. Here, a geographic information system(GIS)-based hybrid model was developed combining the widely used analytic hierarchy process (AHP) multi-criteria analysis method with the Huff model that predicts the number of visiting customers to determine the optimal facility for collaboration and service as a PPP. Using this model, a decision-maker can select the highest-ranking facility or use the fluctuation ranking graph to determine a priority list of candidate facilities according to the appropriate PPP service distance. Our findings suggest that the optimal candidate facility should be located near high population density areas, a dense road network, and few geographic barriers. The facility should have a high attractiveness value, long business hours, and convenient access to public transportation, cover a large, high-population area, and should be a retail chain store. Based on these findings, the AHP method can improve the accuracy of obtaining the facility attractiveness value using the Huff model. Facility attractiveness has a strong effect on the resulting number of customers in the case of acceptably long distances to residential buildings.https://www.mdpi.com/2220-9964/9/4/193parcel-pickup point(ppp)geographic information system(gis)analytic hierarchy process(ahp)network huff modeloptimal location |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zilai Zheng Takehiro Morimoto Yuji Murayama |
spellingShingle |
Zilai Zheng Takehiro Morimoto Yuji Murayama Optimal Location Analysis of Delivery Parcel-Pickup Points Using AHP and Network Huff Model: A Case Study of Shiweitang Sub-District in Guangzhou City, China ISPRS International Journal of Geo-Information parcel-pickup point(ppp) geographic information system(gis) analytic hierarchy process(ahp) network huff model optimal location |
author_facet |
Zilai Zheng Takehiro Morimoto Yuji Murayama |
author_sort |
Zilai Zheng |
title |
Optimal Location Analysis of Delivery Parcel-Pickup Points Using AHP and Network Huff Model: A Case Study of Shiweitang Sub-District in Guangzhou City, China |
title_short |
Optimal Location Analysis of Delivery Parcel-Pickup Points Using AHP and Network Huff Model: A Case Study of Shiweitang Sub-District in Guangzhou City, China |
title_full |
Optimal Location Analysis of Delivery Parcel-Pickup Points Using AHP and Network Huff Model: A Case Study of Shiweitang Sub-District in Guangzhou City, China |
title_fullStr |
Optimal Location Analysis of Delivery Parcel-Pickup Points Using AHP and Network Huff Model: A Case Study of Shiweitang Sub-District in Guangzhou City, China |
title_full_unstemmed |
Optimal Location Analysis of Delivery Parcel-Pickup Points Using AHP and Network Huff Model: A Case Study of Shiweitang Sub-District in Guangzhou City, China |
title_sort |
optimal location analysis of delivery parcel-pickup points using ahp and network huff model: a case study of shiweitang sub-district in guangzhou city, china |
publisher |
MDPI AG |
series |
ISPRS International Journal of Geo-Information |
issn |
2220-9964 |
publishDate |
2020-03-01 |
description |
The use of parcel-pickup points (PPPs) is an effective approach for solving the last-mile problem. However, few studies provide specific guidance for the optimal organization of PPPs. Here, a geographic information system(GIS)-based hybrid model was developed combining the widely used analytic hierarchy process (AHP) multi-criteria analysis method with the Huff model that predicts the number of visiting customers to determine the optimal facility for collaboration and service as a PPP. Using this model, a decision-maker can select the highest-ranking facility or use the fluctuation ranking graph to determine a priority list of candidate facilities according to the appropriate PPP service distance. Our findings suggest that the optimal candidate facility should be located near high population density areas, a dense road network, and few geographic barriers. The facility should have a high attractiveness value, long business hours, and convenient access to public transportation, cover a large, high-population area, and should be a retail chain store. Based on these findings, the AHP method can improve the accuracy of obtaining the facility attractiveness value using the Huff model. Facility attractiveness has a strong effect on the resulting number of customers in the case of acceptably long distances to residential buildings. |
topic |
parcel-pickup point(ppp) geographic information system(gis) analytic hierarchy process(ahp) network huff model optimal location |
url |
https://www.mdpi.com/2220-9964/9/4/193 |
work_keys_str_mv |
AT zilaizheng optimallocationanalysisofdeliveryparcelpickuppointsusingahpandnetworkhuffmodelacasestudyofshiweitangsubdistrictinguangzhoucitychina AT takehiromorimoto optimallocationanalysisofdeliveryparcelpickuppointsusingahpandnetworkhuffmodelacasestudyofshiweitangsubdistrictinguangzhoucitychina AT yujimurayama optimallocationanalysisofdeliveryparcelpickuppointsusingahpandnetworkhuffmodelacasestudyofshiweitangsubdistrictinguangzhoucitychina |
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