GIS-based service network optimisation for location of postal delivery system.
Public postal organisations aim to determine the optimal locations for postal delivery service branches to enhance service quality, increase operational efficiency, reduce costs, and optimise resource utilisation. In this paper, we consider how to enhance the process of identifying suitable sites fo...
| Published in: | Scottish Geographical Journal Vol. 140; no. 3/4; pp. 581 - 599 |
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| Main Authors: | , |
| Format: | Article |
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Taylor & Francis Ltd
Sep-Dec2024
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=181032435&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 181032435 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 14702541 8NB jtl: Scottish Geographical Journal issn: 14702541 maglogo: N pubinfo: dt: Sep-Dec2024 vid: 140 iid: 3/4 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 181032435 10.1080/14702541.2024.2321888 ppf: 581 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P size: 3MB tig: atl: GIS-based service network optimisation for location of postal delivery system. aug: au: Cesur, Elif Kesici Ocak, Funda affil: Industrial Engineering Department, Medeniyet Universitesi, Istanbul, Turkey Istanbul Metropolitan Municipality- Istanbul Tourism Platform, Istanbul, Turkey su: Postal service Probability density function Quality of service Kernel functions Decision making sug: subj: Postal service Probability density function Quality of service Kernel functions Decision making keyword: Geographical information system Kernel density function location selection postal delivery system ab: Public postal organisations aim to determine the optimal locations for postal delivery service branches to enhance service quality, increase operational efficiency, reduce costs, and optimise resource utilisation. In this paper, we consider how to enhance the process of identifying suitable sites for these branches in Istanbul, Turkey, through a case study that evaluates land-use categories – and their influence on demand for postal services – within different districts so as to pinpoint the most appropriate locations for service branches. We employ Kernel Density Estimation (KDE) analyses in conjunction with Geographic Information Systems (GIS) to optimise the service network. This optimisation aids in deciding whether to close underperforming branches or to establish new branches in neighbourhoods with higher demand. Turkish postal delivery system statistics serve as the basis for our case study. Consequently, this study provides valuable insights into the selection of postal service branch locations and offers practical implications for improving branch accessibility in relation to spatial variability in demand. Such applied insights can be crucial for administrators and policymakers when making informed decisions regarding long-term location planning and initiatives across various sectors. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Scottish Geographical Journal is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Scottish Geographical Journal holder: Taylor & Francis Ltd dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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