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...

Full description

Bibliographic Details
Main Authors: Zilai Zheng, Takehiro Morimoto, Yuji Murayama
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/9/4/193
id doaj-7829953195224dc3a5c83d30d834fe47
record_format Article
spelling 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
_version_ 1725057637738872832