24,900 research outputs found

    Tracing Mobility Patterns of Buried Species of the Late Iron Age Funerary Staggered Turriform of Son Ferrer (Calvià, Spain)

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    This work was supported by the project “Comunitats indígenes i contacte cultural al sud-oest de Mallorca a l’edat del ferro. Puig de Sa Morica” financed by Consell Insular de Mallorca; and the R&D Project “Movilidad y conectividad de las comunidades prehistóricas en el Mediterráneo Occidental durante la prehistoria reciente: El caso de las Islas Baleares” (PID2019-108692GB) of the ArchaeoUIB Research Group (Universitat de les Illes Balears) financed by the Spanish Ministry of Science and Innovation. The work of Lua Valenzuela-Suau has been supported by the postdoctoral contract financed by the Ministerio de Universidades, under the Pla de Recuperació, Transformació i Resiliència, and financed by the European Union (NextGenerationEU), with the participation of the Universitat de les Illes Balears. The work of Paloma Salvador has been supported by the predoctoral fellowship (FPI-CAIB) FPI/2245/2019 financed by the Conselleria d’Educació, Cultura i Universitats of the Govern de les Illes Balears and the European Social Fund.This is the first mobility 87Sr/86Sr analysis in human remains made on the Balearic Islands. Eight human individuals buried at the same Late Iron Age funerary chamber of Son Ferrer site (Calvià, Mallorca) have been sampled for strontium and oxygen isotopic analysis (87Sr/86Sr and δ18O). The study includes strontium and oxygen isotopic analysis of domestic mammals buried in the same Funerary Area (FA1) together with present-day vegetation and archaeological bone to assess the strontium isotopic ratios (87Sr/86Sr) around the site. All the results are compatible with the 87Sr/86Sr documented in Mallorca and, more specifically, with the surrounding bedrocks from the site. Humans, caprines, and dogs provided similar results and no significant differences are found between the species. The only exception is a caprine which shows seasonal movement through the period of enamel mineralisation. The isotopic information agrees with the previous studies, which proposed that Son Ferrer site was a symbolic place for the surrounding territory where people from the nearby villages were buried.Consell Insular de MallorcaSpanish Ministry of Science and Innovation PID2019-108692GBMinisterio de Universidades, Pla de Recuperació, Transformació i ResiliènciaEuropean Union (NextGenerationEU)Universitat de les Illes BalearsGovern de les Illes Balears FPI/2245/2019European Social Fun

    Entropic measures of individual mobility patterns

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    Understanding human mobility from a microscopic point of view may represent a fundamental breakthrough for the development of a statistical physics for cognitive systems and it can shed light on the applicability of macroscopic statistical laws for social systems. Even if the complexity of individual behaviors prevents a true microscopic approach, the introduction of mesoscopic models allows the study of the dynamical properties for the non-stationary states of the considered system. We propose to compute various entropy measures of the individual mobility patterns obtained from GPS data that record the movements of private vehicles in the Florence district, in order to point out new features of human mobility related to the use of time and space and to define the dynamical properties of a stochastic model that could generate similar patterns. Moreover, we can relate the predictability properties of human mobility to the distribution of time passed between two successive trips. Our analysis suggests the existence of a hierarchical structure in the mobility patterns which divides the performed activities into three different categories, according to the time cost, with different information contents. We show that a Markov process defined by using the individual mobility network is not able to reproduce this hierarchy, which seems the consequence of different strategies in the activity choice. Our results could contribute to the development of governance policies for a sustainable mobility in modern cities

    Supervised Land Use Inference from Mobility Patterns

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    This paper addresses the relationship between land use and mobility patterns. Since each particular zone directly feeds the global mobility once acting as origin of trips and others as destination, both roles are simultaneously used for predicting land uses. Specifically this investigation uses mobility data derived from mobile phones, a technology that emerges as a useful, quick data source on people's daily mobility, collected during two weeks over the urban area of Málaga (Spain). This allows exploring the relevance of integrating weekday-weekend trip information to better determine the category of land use. First, this work classifies patterns on trips originated and terminated in each zone into groups by means of a clustering approach. Based on identifiable relationships between activity and times when travel peaks appear, a preliminary categorization of uses is provided. Then, both grouping results are used as input variables in a K-nearest neighbors (KNN) classification model to determine the exact land use. The KNN method assumes that the category of an object must be similar to the category of the closest neighbors. After training the models, the findings reveal that this approach provides a precise land use categorization, yielding the best accuracy results for the major categories of land uses in the studied area. Moreover, as a result, the weekend data certainly contributes to finding more precise land uses as those obtained by just weekday data. In particular, the percentage of correctly predicted categories using both weekday and weekend is around 80%, while just weekday data reach 67%. The comparison with actual land uses also demonstrates that this approach is able to provide useful information, identifying zones with a specific clear dominant use (residential, industrial, and commercial), as well as multiactivity zones (mixed). This fact is especially useful in the context of urban environments where multiple activities coexist.Unión Europea Programa Operativo FEDER de Andalucía 2011–2015Ministerio de Economía y Competitividad PTQ-13-0642

    Mobility patterns of the elderly tourist in Algarve

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    The present work is part of the Project for Scientific Research and Techno-logical Development "Accessibility for All in Tourism" focuses on modal in-terfaces designed according to the concepts of "Universal Design" and "Age Sensitive Design". In this project 851 surveys were carried out for elderly tourists, who arrived in Algarve (Portugal) through the international Airport of Faro, in the summer of 2018, with a view to understanding their prefer-ences and needs in terms of mobility. It presents the characterization of the senior tourist in Algarve, according to: gender, age, academic qualification, situation in the relation to the profession, nationality, disability and/or disa-bilities that affects mobility and the need to use technical aids to move. It analyses and compares, from the point of view of sustainable mobility, the mobility of the elderly tourist, by gender and age group, in the country where they reside and in the Algarve region. This information is useful for local au-thorities and for transport operators in order to make the mobility of elderly tourists, in Algarve, more sustainable from a social, economic and environ-mental standpoint.The Research Project ACCES4ALL - Accessibility for All in Tourisminfo:eu-repo/semantics/publishedVersio
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