From dots to dynamics: Searching the complexities of prehistoric mobility in the Lisbon Peninsula

This study explores prehistoric mobility networks in the Lisbon Peninsula, focusing on the Chalcolithic and Late Bronze Age periods. Utilising Least Cost Path (LCP) methodologies and Tobler's Hiking Function, movement patterns and connectivity between settlements were analysed. The research reveals a complex landscape of human interactions and environmental adaptations, highlighting social and economic transformations across these periods. In the Chalcolithic, a dense network of routes was identified, which suggest intense social and trade exchanges. In contrast, the Late Bronze Age (LBA) exhibits a changed mobility landscape, with less dense but more focused routes, reflecting possible socio-economic reorganisations. This study not only sheds light on the territorial dynamics of the Lisbon Peninsula during these critical periods but also contributes to a richer understanding of occupation strategies and the relationship between humans and their environment. • GIS-based analysis reveals key prehistoric mobility networks in the Lisbon Peninsula. • Chalcolithic shows dispersed networks, indicating widespread territorial occupation. • Late Bronze Age mobility patterns suggest concentrated socio-economic reorganisation. • Shifts in mobility patterns from Chalcolithic to Late Bronze Age in the Lisbon Peninsula. • New insights into settlement and socio-economic changes in prehistoric Lisbon Peninsula.

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Publication Details

Journal
Journal of Archaeological Science
Published
2024-12-12
DOI
https://doi.org/10.1016/j.jas.2024.106127
Primary Topic
Archaeological and Geological Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

From dots to dynamics: Searching the complexities of prehistoric mobility in the Lisbon Peninsula

André Texugo, Ana Catarina Sousa, Pablo Sánchez de Oro
Journal of Archaeological Science
Archaeological and Geological Studies
article

From dots to dynamics: Searching the complexities of prehistoric mobility in the Lisbon Peninsula

André Texugo, Ana Catarina Sousa, Pablo Sánchez de Oro
article en

Abstract

This study explores prehistoric mobility networks in the Lisbon Peninsula, focusing on the Chalcolithic and Late Bronze Age periods. Utilising Least Cost Path (LCP) methodologies and Tobler's Hiking Function, movement patterns and connectivity between settlements were analysed. The research reveals a complex landscape of human interactions and environmental adaptations, highlighting social and economic transformations across these periods. In the Chalcolithic, a dense network of routes was identified, which suggest intense social and trade exchanges. In contrast, the Late Bronze Age (LBA) exhibits a changed mobility landscape, with less dense but more focused routes, reflecting possible socio-economic reorganisations. This study not only sheds light on the territorial dynamics of the Lisbon Peninsula during these critical periods but also contributes to a richer understanding of occupation strategies and the relationship between humans and their environment. • GIS-based analysis reveals key prehistoric mobility networks in the Lisbon Peninsula. • Chalcolithic shows dispersed networks, indicating widespread territorial occupation. • Late Bronze Age mobility patterns suggest concentrated socio-economic reorganisation. • Shifts in mobility patterns from Chalcolithic to Late Bronze Age in the Lisbon Peninsula. • New insights into settlement and socio-economic changes in prehistoric Lisbon Peninsula.

Journal of Archaeological ScienceVol. 174
University of Lisbon (PT), Direção Geral do Património Cultural (PT), Universidad Autónoma de Madrid (ES)
Ministerio de Ciencia, Innovación y Universidades, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 61%
Archaeological and Geological Studies
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From dots to dynamics: Searching the complexities of prehistoric mobility in the Lisbon Peninsula — André Texugo, Ana Catarina Sousa, et al. · Journal of Archaeological Science (2024) | TGRS Research Map | TGRS