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A GIS-based Multi-Criteria Decision-Making Approach for Location Selection of Urban Micro-Consolidation Centers Under Sustainability

Year 2025, Volume: 9 Issue: 1, 158 - 180, 01.07.2025
https://doi.org/10.56554/jtom.1615906

Abstract

With the boom in e-commerce, the urban micro-consolidation center (UMC) stands out for fast and flexible solutions in last-mile logistics (LML). The location selection of UMCs is one of the problematic issues in urban freight distribution in terms of its effects on the flow of logistics activities in urban areas and the stakeholders affected by this flow. This paper aims to present an evaluation system that will minimize negative externalities while facilitating logistics activities based on economic, social, and environmental sustainability for the UMC location selection problem in LML. Hence, a three-step solution approach is developed. Firstly, criteria affecting the UMC location are determined under the sustainability dimensions using expert opinions and literature. Secondly, the criteria indicators are prioritized using the Analytical Hierarchy Process (AHP) approach, and simultaneously, spatial analysis of the indicators is carried out using Geographic Information System (GIS). At this step, two methods are combined with weighted overlay analysis in GIS software to develop a suitability map for alternative UMC locations. Lastly, potential UMC locations are ranked using the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) for the case of the İzmir region, Turkey. The results indicate that accessibility in economic criteria, traffic density in social criteria, and land topography in environmental criteria come to the fore in UMC location selection under sustainability. In addition, since no such center exists in the region where the case study was conducted, it is expected to guide the industry and municipality in initiatives in the proposed places.

Ethical Statement

This study was produced from Türkan Müge Özbekler's thesis numbered 675486 titled 'Micro facility location and determination of delivery alternatives with multi-actor approach in the last mile distribution network structure of urban logistics' prepared in Yıldız Technical University Business Administration PhD program.

References

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  • Aljohani, K., and Thompson, R. G. (2018). Optimizing the Establishment of a Central City Transshipment Facility to Ameliorate Last‐Mile Delivery: a Case Study in Melbourne CBD. City Logistics 3: Towards Sustainable and Liveable Cities, 23-46. https://doi.org/10.1002/9781119425472.ch2
  • Anderluh, A., Hemmelmayr, V. C., and Rüdiger, D. (2020). Analytic hierarchy process for city hub location selection-The Viennese case. Transportation Research Procedia, 46, 77-84. https://doi.org/10.1016/j.trpro.2020.03.166
  • Arrieta‐Prieto, M., Ismael, A., Rivera‐Gonzalez, C., and Mitchell, J. E. (2021). Location of urban microconsolidation centers to reduce the social cost of last‐mile deliveries of cargo: A heuristic approach. Networks, 79(3), 292-313. https://doi.org/10.1002/net.22076
  • Bayliss, C., Bektaş, T., Tjon-Soei-Len, V., and Rohner, R. (2023). Designing a multi-modal and variable-echelon delivery system for last-mile logistics. European Journal of Operational Research, 307(2), 645-662. https://doi.org/10.1016/j.ejor.2022.08.041
  • Bertolini, M., De Matteis, G., and Nava, A. (2024). Sustainable Last-Mile Logistics in Economics Studies: A Systematic Literature Review. Sustainability, 16(3), 1205. https://doi.org/10.3390/su16031205
  • Boston Consulting Group (2023). Winning Formulas for E-Commerce Growth. Retrieved from: https://www.bcg.com/publications/2023/winning-formulas-for-e-commerce-growth (accessed on 10 October 2024).
  • Çakmak, E., Önden, İ., Acar, A. Z., and Eldemir, F. (2021). Analyzing the location of city logistics centers in Istanbul by integrating Geographic Information Systems with Binary Particle Swarm Optimization algorithm. Case Studies on Transport Policy, 9(1), 59-67. https://doi.org/10.1016/j.cstp.2020.07.004
  • Capgemini Research Institute (2019). The Last-Mile Delivery Challenge. Retrieved from: https://www.capgemini.com/wp-content/uploads/2019/01/Report-Digital-%E2%80%93-Last-Mile-Delivery- Challenge1.pdf (accessed on 20 October 2024).
  • Çetinkaya, C., Özceylan, E., Erbaş, M., and Kabak, M. (2016). GIS-based fuzzy MCDA approach for siting refugee camp: A case study for southeastern Turkey. International Journal of Disaster Risk Reduction, 18, 218- 231. https://doi.org/10.1016/j.ijdrr.2016.07.004
  • Ersoy, P.,and Çetiner, B. (2022). Performance Measurement in Cargo Distribution Center A Case Study. Journal of Turkish Operations Management, 6(1), 1056-1064. https://dergipark.org.tr/en/pub/jtom/issue/70951/1012119 (accessed on 10 October 2024).
  • Haktanır, E., and Kahraman, C. (2024). Integrated AHP and TOPSIS methodology using intuitionistic Z-numbers: An application on hydrogen storage technology selection. Expert Systems with Applications, 239, 122382. https://doi.org/10.1016/j.eswa.2023.122382
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  • Katsela, K., Güneş, Ş., Fried, T., Goodchild, A., and Browne, M. (2022). Defining urban freight microhubs: A case study analysis. Sustainability, 14(1), 532. https://doi.org/10.3390/su14010532
  • Kaya, Ö., Tortum, A., Alemdar, K. D., and Çodur, M. Y. (2020). Site selection for EVCS in Istanbul by GIS and multi-criteria decision-making. Transportation Research Part D: Transport and Environment, 80, 102271. https://doi.org/10.1016/j.trd.2020.102271
  • Kedia, A., Kusumastuti, D., and Nicholson, A. (2020). Locating collection and delivery points for goods’ last-mile travel: A case study in New Zealand. Transportation Research Procedia, 46, 85-92. https://doi.org/10.1016/j.trpro.2020.03.167
  • Kumar, A., and Anbanandam, R. (2019). Location selection of multimodal freight terminal under STEEP sustainability. Research in Transportation Business and Management, 33, 100434. https://doi.org/10.1016/j.rtbm.2020.100434
  • Muerza, V., Larrodé, E., Moreno-Jimenez, J. M., and Jiménez, A. (2018). Modelling the problem of parcel distribution in urban environments and analysis of the determining factors. Transportation research procedia, 33, 347-354. https://doi.org/10.1016/j.trpro.2018.10.112
  • Novotná, M., Švadlenka, L., Jovčić, S., and Simić, V. (2022). Micro-hub location selection for sustainable lastmile delivery. Plos one, 17(7), e0270926. https://doi.org/10.1371/journal.pone.0270926
  • Nyimbili, P. H., Erden, T., and Karaman, H. (2018). Integration of GIS, AHP and TOPSIS for earthquake hazard analysis. Natural hazards, 92, 1523-1546. https://doi.org/10.1007/s11069-018-3262-7
  • Özbekler, T. M., and Akgül, A. K. (2020). An ex-ante assessment of city distribution alternatives based on multi actor multi criteria framework. Business and Management Studies: An International Journal, 8(5), 4241-4272. https://doi.org/10.15295/bmij.v8i5.1650
  • Özkan, B., Özceylan, E., Korkmaz, I. B. H., and Cetinkaya, C. (2019). A GIS-based DANP-VIKOR approach to evaluate RandD performance of Turkish cities. Kybernetes, 48(10), 2266-2306.https://doi.org/10.1108/K-09- 2018-0456
  • Ozturk, D., and Batuk, F. (2011). Implementation of GIS-based multicriteria decision analysis with VB in ArcGIS. International Journal of Information Technology and Decision Making, 10(06), 1023-1042. https://doi.org/10.1142/S0219622011004695
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  • Ramya, S., and Devadas, V. (2019). Integration of GIS, AHP and TOPSIS in evaluating suitable locations for industrial development: A case of Tehri Garhwal district, Uttarakhand, India. Journal of cleaner production, 238, 117872. https://doi.org/10.1016/j.jclepro.2019.117872
  • Rao, C., Goh, M., Zhao, Y., and Zheng, J. (2015). Location selection of city logistics centers under sustainability. Transportation Research Part D: Transport and Environment, 36, 29-44. https://doi.org/10.1016/j.trd.2015.02.008
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  • Sawik, B. (2024). Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping. Logistics, 8(2), 52.https://doi.org/10.3390/su16031205
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Sürdürülebilirlik Temelinde Kentsel Mikro Konsolidasyon Merkezlerinin Yer Seçimi İçin CBS Tabanlı Çok Kriterli Karar Verme Yaklaşımı

Year 2025, Volume: 9 Issue: 1, 158 - 180, 01.07.2025
https://doi.org/10.56554/jtom.1615906

Abstract

E-ticarette yaşanan yoğunluk ile birlikte kentsel mikro konsolidasyon merkezleri (UMC), son kilometre lojistiğinde (LML) hızlı ve esnek çözümlerle öne çıkmaktadır. UMC'lerin lokasyon seçimi, kentsel alanlardaki lojistik faaliyetlerinin akışı ve bu akıştan etkilenen paydaşlar üzerindeki etkileri açısından kentsel yük dağıtımındaki sorunlu konulardan biridir. Bu makale, LML'deki UMC konum seçimi problemi için ekonomik, sosyal ve çevresel sürdürülebilirliğe dayalı lojistik faaliyetleri kolaylaştırırken olumsuz dışsallıkları en aza indirecek bir değerlendirme sistemi sunulması amaçlamaktadır. Bu nedenle, üç adımlı bir çözüm yaklaşımı geliştirilmiştir. İlk olarak, uzman görüşleri ve literatür kullanılarak sürdürülebilirlik boyutları altında UMC konumunu etkileyen kriterler belirlenmiştir. İkinci olarak, kriter göstergeleri Analitik Hiyerarşi Süreci (AHP) yaklaşımı kullanılarak önceliklendirilmiş ve eş zamanlı olarak, Coğrafi Bilgi Sistemi (CBS) kullanılarak göstergelerin mekansal analizi gerçekleştirilmiştir. Bu adımda, alternatif UMC konumları için bir uygunluk haritası geliştirmek üzere CBS yazılımında ağırlıklı çakıştırma analizi ile iki yöntem birleştirilmiştir. Son olarak, potansiyel UMC lokasyonları, Türkiye'de İzmir bölgesi için İdeal Çözüme Benzerliğe Göre Sıra Tercihi Tekniği (TOPSIS) kullanılarak sıralanmıştır. Sonuçlar, ekonomik kriterlerde erişilebilirliğin, sosyal kriterlerde trafik yoğunluğunun ve çevresel kriterlerde arazi topoğrafyasının sürdürülebilirlik altında UMC lokasyon seçiminde ön plana çıktığını göstermektedir. Ayrıca, çalışmanın yürütüldüğü bölgede böyle bir tesis bulunmadığından, önerilen yerlerdeki girişimlerde sanayi ve belediyeye rehberlik etmesi beklenmektedir.

Ethical Statement

Bu çalışma, Türkan Müge Özbekler'in Yıldız Teknik Üniversitesi İşletme Doktora programında hazırlamış olduğu 675486 numaralı 'Kentsel lojistiğin son kilometre dağıtım ağ yapısında mikro tesis yer seçimi ve çok aktörlü yaklaşımla teslimat alternatiflerinin belirlenmesi ' adlı tezinden üretilmiştir.

References

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  • Aljohani, K., and Thompson, R. G. (2018). Optimizing the Establishment of a Central City Transshipment Facility to Ameliorate Last‐Mile Delivery: a Case Study in Melbourne CBD. City Logistics 3: Towards Sustainable and Liveable Cities, 23-46. https://doi.org/10.1002/9781119425472.ch2
  • Anderluh, A., Hemmelmayr, V. C., and Rüdiger, D. (2020). Analytic hierarchy process for city hub location selection-The Viennese case. Transportation Research Procedia, 46, 77-84. https://doi.org/10.1016/j.trpro.2020.03.166
  • Arrieta‐Prieto, M., Ismael, A., Rivera‐Gonzalez, C., and Mitchell, J. E. (2021). Location of urban microconsolidation centers to reduce the social cost of last‐mile deliveries of cargo: A heuristic approach. Networks, 79(3), 292-313. https://doi.org/10.1002/net.22076
  • Bayliss, C., Bektaş, T., Tjon-Soei-Len, V., and Rohner, R. (2023). Designing a multi-modal and variable-echelon delivery system for last-mile logistics. European Journal of Operational Research, 307(2), 645-662. https://doi.org/10.1016/j.ejor.2022.08.041
  • Bertolini, M., De Matteis, G., and Nava, A. (2024). Sustainable Last-Mile Logistics in Economics Studies: A Systematic Literature Review. Sustainability, 16(3), 1205. https://doi.org/10.3390/su16031205
  • Boston Consulting Group (2023). Winning Formulas for E-Commerce Growth. Retrieved from: https://www.bcg.com/publications/2023/winning-formulas-for-e-commerce-growth (accessed on 10 October 2024).
  • Çakmak, E., Önden, İ., Acar, A. Z., and Eldemir, F. (2021). Analyzing the location of city logistics centers in Istanbul by integrating Geographic Information Systems with Binary Particle Swarm Optimization algorithm. Case Studies on Transport Policy, 9(1), 59-67. https://doi.org/10.1016/j.cstp.2020.07.004
  • Capgemini Research Institute (2019). The Last-Mile Delivery Challenge. Retrieved from: https://www.capgemini.com/wp-content/uploads/2019/01/Report-Digital-%E2%80%93-Last-Mile-Delivery- Challenge1.pdf (accessed on 20 October 2024).
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  • Ersoy, P.,and Çetiner, B. (2022). Performance Measurement in Cargo Distribution Center A Case Study. Journal of Turkish Operations Management, 6(1), 1056-1064. https://dergipark.org.tr/en/pub/jtom/issue/70951/1012119 (accessed on 10 October 2024).
  • Haktanır, E., and Kahraman, C. (2024). Integrated AHP and TOPSIS methodology using intuitionistic Z-numbers: An application on hydrogen storage technology selection. Expert Systems with Applications, 239, 122382. https://doi.org/10.1016/j.eswa.2023.122382
  • He, Y., Zhou, F., Qi, M., and Wang, X. (2020). Joint distribution: service paradigm, key technologies and its application in the context of Chinese express industry. International Journal of Logistics Research and Applications, 23(3), 211-227.https://doi.org/10.1080/13675567.2019.1667314
  • Hwang, C. L., Yoon, K., Hwang, C. L., and Yoon, K. (1981). Methods for multiple attribute decision making. Multiple attribute decision making: methods and applications a state-of-the-art survey, 58-191. https://doi.org/10.1007/978-3-642-48318-9_3
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  • Katsela, K., Güneş, Ş., Fried, T., Goodchild, A., and Browne, M. (2022). Defining urban freight microhubs: A case study analysis. Sustainability, 14(1), 532. https://doi.org/10.3390/su14010532
  • Kaya, Ö., Tortum, A., Alemdar, K. D., and Çodur, M. Y. (2020). Site selection for EVCS in Istanbul by GIS and multi-criteria decision-making. Transportation Research Part D: Transport and Environment, 80, 102271. https://doi.org/10.1016/j.trd.2020.102271
  • Kedia, A., Kusumastuti, D., and Nicholson, A. (2020). Locating collection and delivery points for goods’ last-mile travel: A case study in New Zealand. Transportation Research Procedia, 46, 85-92. https://doi.org/10.1016/j.trpro.2020.03.167
  • Kumar, A., and Anbanandam, R. (2019). Location selection of multimodal freight terminal under STEEP sustainability. Research in Transportation Business and Management, 33, 100434. https://doi.org/10.1016/j.rtbm.2020.100434
  • Muerza, V., Larrodé, E., Moreno-Jimenez, J. M., and Jiménez, A. (2018). Modelling the problem of parcel distribution in urban environments and analysis of the determining factors. Transportation research procedia, 33, 347-354. https://doi.org/10.1016/j.trpro.2018.10.112
  • Novotná, M., Švadlenka, L., Jovčić, S., and Simić, V. (2022). Micro-hub location selection for sustainable lastmile delivery. Plos one, 17(7), e0270926. https://doi.org/10.1371/journal.pone.0270926
  • Nyimbili, P. H., Erden, T., and Karaman, H. (2018). Integration of GIS, AHP and TOPSIS for earthquake hazard analysis. Natural hazards, 92, 1523-1546. https://doi.org/10.1007/s11069-018-3262-7
  • Özbekler, T. M., and Akgül, A. K. (2020). An ex-ante assessment of city distribution alternatives based on multi actor multi criteria framework. Business and Management Studies: An International Journal, 8(5), 4241-4272. https://doi.org/10.15295/bmij.v8i5.1650
  • Özkan, B., Özceylan, E., Korkmaz, I. B. H., and Cetinkaya, C. (2019). A GIS-based DANP-VIKOR approach to evaluate RandD performance of Turkish cities. Kybernetes, 48(10), 2266-2306.https://doi.org/10.1108/K-09- 2018-0456
  • Ozturk, D., and Batuk, F. (2011). Implementation of GIS-based multicriteria decision analysis with VB in ArcGIS. International Journal of Information Technology and Decision Making, 10(06), 1023-1042. https://doi.org/10.1142/S0219622011004695
  • Pun, K. F., and Hui, I. K. (2001). An analytical hierarchy process assessment of the ISO 14001 environmental management system. Integrated Manufacturing Systems, 12(5), 333-345. https://doi.org/10.1108/EUM0000000005711
  • Ramya, S., and Devadas, V. (2019). Integration of GIS, AHP and TOPSIS in evaluating suitable locations for industrial development: A case of Tehri Garhwal district, Uttarakhand, India. Journal of cleaner production, 238, 117872. https://doi.org/10.1016/j.jclepro.2019.117872
  • Rao, C., Goh, M., Zhao, Y., and Zheng, J. (2015). Location selection of city logistics centers under sustainability. Transportation Research Part D: Transport and Environment, 36, 29-44. https://doi.org/10.1016/j.trd.2015.02.008
  • Rosenberg, L. N., Balouka, N., Herer, Y. T., Dani, E., Gasparin, P., Dobers, K., ... and van Uden, S. (2021). Introducing the shared micro-depot network for last-mile logistics. Sustainability, 13(4), 2067. https://doi.org/10.3390/su13042067
  • Rudolph, C., Nsamzinshuti, A., Bonsu, S., Ndiaye, A. B., and Rigo, N. (2022). Localization of Relevant Urban Micro-Consolidation Centers for Last-Mile Cargo Bike Delivery Based on Real Demand Data and City Characteristics. Transportation Research Record, 2676(1), 365-375. https://doi.org/10.1177/03611981211036351
  • Saaty, R. W. (1987). The analytic hierarchy process—what it is and how it is used. Mathematical modelling, 9(3- 5), 161-176. https://doi.org/10.1016/0270-0255(87)90473-8
  • Saaty, T. L., and Özdemir, M. S. (2014). How many judges should there be in a group?. Annals of Data Science, 1, 359-368. https://doi.org/10.1007/s40745-014-0026-4
  • Saaty, T. L., The Analytic Hierarchy Process, McGraw-Hill, USA, 1980. Retrieved from: https://books.google.com.tr/books/about/The_Analytic_Hierarchy_Process.html?id=Xxi7AAAAIAAJ&redir_esc =y (accessed on 10 October 2024).
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There are 44 citations in total.

Details

Primary Language English
Subjects Quantitative Decision Methods , Manufacturing and Industrial Engineering (Other)
Journal Section Research Article
Authors

Türkan Müge Özbekler 0000-0003-1127-4325

Arzu Karaman Akgül 0000-0002-4606-6756

Publication Date July 1, 2025
Submission Date January 10, 2025
Acceptance Date May 14, 2025
Published in Issue Year 2025 Volume: 9 Issue: 1

Cite

APA Özbekler, T. M., & Karaman Akgül, A. (2025). A GIS-based Multi-Criteria Decision-Making Approach for Location Selection of Urban Micro-Consolidation Centers Under Sustainability. Journal of Turkish Operations Management, 9(1), 158-180. https://doi.org/10.56554/jtom.1615906
AMA Özbekler TM, Karaman Akgül A. A GIS-based Multi-Criteria Decision-Making Approach for Location Selection of Urban Micro-Consolidation Centers Under Sustainability. JTOM. July 2025;9(1):158-180. doi:10.56554/jtom.1615906
Chicago Özbekler, Türkan Müge, and Arzu Karaman Akgül. “A GIS-Based Multi-Criteria Decision-Making Approach for Location Selection of Urban Micro-Consolidation Centers Under Sustainability”. Journal of Turkish Operations Management 9, no. 1 (July 2025): 158-80. https://doi.org/10.56554/jtom.1615906.
EndNote Özbekler TM, Karaman Akgül A (July 1, 2025) A GIS-based Multi-Criteria Decision-Making Approach for Location Selection of Urban Micro-Consolidation Centers Under Sustainability. Journal of Turkish Operations Management 9 1 158–180.
IEEE T. M. Özbekler and A. Karaman Akgül, “A GIS-based Multi-Criteria Decision-Making Approach for Location Selection of Urban Micro-Consolidation Centers Under Sustainability”, JTOM, vol. 9, no. 1, pp. 158–180, 2025, doi: 10.56554/jtom.1615906.
ISNAD Özbekler, Türkan Müge - Karaman Akgül, Arzu. “A GIS-Based Multi-Criteria Decision-Making Approach for Location Selection of Urban Micro-Consolidation Centers Under Sustainability”. Journal of Turkish Operations Management 9/1 (July 2025), 158-180. https://doi.org/10.56554/jtom.1615906.
JAMA Özbekler TM, Karaman Akgül A. A GIS-based Multi-Criteria Decision-Making Approach for Location Selection of Urban Micro-Consolidation Centers Under Sustainability. JTOM. 2025;9:158–180.
MLA Özbekler, Türkan Müge and Arzu Karaman Akgül. “A GIS-Based Multi-Criteria Decision-Making Approach for Location Selection of Urban Micro-Consolidation Centers Under Sustainability”. Journal of Turkish Operations Management, vol. 9, no. 1, 2025, pp. 158-80, doi:10.56554/jtom.1615906.
Vancouver Özbekler TM, Karaman Akgül A. A GIS-based Multi-Criteria Decision-Making Approach for Location Selection of Urban Micro-Consolidation Centers Under Sustainability. JTOM. 2025;9(1):158-80.

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