Planning Delivery Services: Depot Clustering Based on Socio-Economic Indicators and Geospatial Metrics

Iñaki Cejudo, Laura Rabadán, Eider Irigoyen, Harbil Arregui

2025

Abstract

People’s lifestyles have evolved in recent years, making home deliveries a necessity for various types of services. Moreover, with the growth of big data and Artificial Intelligence, predicting the performance and customer demand of new businesses is a key aspect of logistics and last-mile delivery planning. By using examples and predictions as a foundation for goods delivery services, initial over-sizing costs can be signifi-cantly reduced. In this paper, we analyze and compare operational zone similarities for food and parcel delivery services in Spain, considering socio-economic indicators and urban network features. The study leverages motorbike delivery metrics to complement the analysis. The results demonstrate how similar depots can be clustered, providing a foundational performance scenario for decision-making when planning the launch of a new service.

Paper Citation

in Harvard Style

Cejudo I., Rabadán L., Irigoyen E. and Arregui H. (2025). Planning Delivery Services: Depot Clustering Based on Socio-Economic Indicators and Geospatial Metrics. In Proceedings of the 11th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM; ISBN 978-989-758-741-2, SciTePress, pages 172-178. DOI: 10.5220/0013355200003935

in Bibtex Style

@conference{gistam25,
author={Iñaki Cejudo and Laura Rabadán and Eider Irigoyen and Harbil Arregui},
title={Planning Delivery Services: Depot Clustering Based on Socio-Economic Indicators and Geospatial Metrics},
booktitle={Proceedings of the 11th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM},
year={2025},
pages={172-178},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013355200003935},
isbn={978-989-758-741-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM
TI - Planning Delivery Services: Depot Clustering Based on Socio-Economic Indicators and Geospatial Metrics
SN - 978-989-758-741-2
AU - Cejudo I.
AU - Rabadán L.
AU - Irigoyen E.
AU - Arregui H.
PY - 2025
SP - 172
EP - 178
DO - 10.5220/0013355200003935
PB - SciTePress