Person:
Romanillos Arroyo, Gustavo

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First Name
Gustavo
Last Name
Romanillos Arroyo
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Geografía e Historia
Department
Geografía
Area
Geografía Humana
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UCM identifierORCIDScopus Author IDDialnet IDGoogle Scholar ID

Search Results

Now showing 1 - 10 of 24
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    Public services location models
    (2015) Romanillos Arroyo, Gustavo; Salas Olmedo, María Henar; García Palomares, Juan Carlos; Gutiérrez Puebla, Javier
    This document describes the research developed in the INSIGHT project sub-work package WP4.4 Public Services Models, which is framed in the WP4 Theoretical Modelling work package. WP4 also includes research on retail models, housing models and housing-retail-public services interaction models. In the landscape left by the economic crisis, Public Services policies are extremely important but at the same time are dramatically limited. On the one hand, significant negative socio-demographic changes and imbalances, such as the increasing social segregation or the rising economic inequality, must be tackled through policies oriented to fostering public services or improving the existing ones. On the other hand, the economic decline has reduced public resources limiting the launching of these new services and affecting the delivery of the existing ones. In this scenario, the delivery of efficient Public Services is fundamental and the location of public facilities becomes crucial. The research explores the application of different location models to the four project case studies (Barcelona, London, Madrid and Rotterdam), creating new approaches and methodologies oriented to assisting policy makers and urban planners at some of the Policy Cycle stages (defined in the INSIGHT document D2.2 Urban Planning and governance: current practices and new challenges), such as the analysis of the current scenario, the definition of policies and measures and the evaluation of future scenarios.
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    Project number: 196
    BLOGtGIS: Espacio virtual de difusión y discusión sobre material docente y otros contenidos de interés académico relacionados con los Sistemas de Información Geográfica
    (2021) Romanillos Arroyo, Gustavo; Gutiérrez Puebla, Javier; García Palomares, Juan Carlos; Condeço Melhorado, Ana Margarida; Pérez Campaña, Rocío; Arias Molinares, Daniela; Barros Sulca, Diana Carolina; Santiago Iglesias, Enrique
    Memoria del Proyecto de Innovación Docente "BLOGtGIS: Espacio virtual de difusión y discusión sobre material docente y otros contenidos de interés académico relacionados con los Sistemas de Información Geográfica".
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    Towards a new urban geography of expenditure: Using bank card transactions data to analyze multi-sector spatiotemporal distributions
    (Cities, 2022) Carpio Pinedo, Jose; Romanillos Arroyo, Gustavo; Aparicio, Daniel; Hernández Martín-Caro, María Soledad; García Palomares, Juan Carlos; Gutiérrez Puebla, Javier
    The spatial distribution of commercial activities is vital to support healthy lifestyles and to achieve livable public spaces and environmental, social and economic sustainability in our cities. However, commercial activities require a constant flow of expenditure for their own viability. As a result, understanding the spatial and temporal distribution of expenditure is fundamental, although the lack of detailed, complete data sources has impeded this task until now. Bank card data paves the way for a new urban geography of expenditure, thanks to its fine spatial and temporal granularity along with the uniform coverage of all commercial sectors. In this paper, we analyze temporal, spatial, and spatiotemporal distributions of expenditure at the intraurban scale of the city of Madrid (Spain), combining spatial statistical tools (Getis-Ord General for global autocorrelation and Getis-Ord Gi* hot spot analysis for local autocorrelation) with k-means cluster analysis and spatiotemporal tools (Time Series Clustering analysis and Temporal Hot Spot Analysis). Our analysis confirms the strong center-periphery gradient described in previous literature, but with a CBD integrated by distinct specialized areas. The paper demonstrates that bank card data has a great potential to support a new geography of expenditure that could strengthen decision-making in planning and retailing.
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    Collaborative mapping of emerging cities in developing countries: the "León Emergente" project
    (Journal of Maps, 2016) Romanillos Arroyo, Gustavo
    In the expanding constellation of collaborative map-making initiatives, a growing number of small local projects coexist along with more ambitious and global ones. In developing countries, their existence is not only compatible and complementary, but also necessary, since they meet different needs and pursue diverse and essential objectives, in addition to collecting and sharing geo-located data. In this context, this paper describes the León Emergente initiative, a collaborative living atlas for the city of León in Nicaragua. The results are presented through two main maps that illustrate, for the first time, the formal and informal economic activity of the city as well as the health facilities in relation to the distribution of population across the city. The paper also describes the Leon Emergente online platform and presents a number of online maps that not only represent, but also collect data on different urban aspects and dynamics.
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    Cómo aplicar Big Data en la planificación del transporte: El uso de datos de GPS en el análisis de la movilidad urbana
    (2020) Gutiérrez Puebla, Javier; Benítez, Carolina; García Palomares, Juan Carlos; Romanillos Arroyo, Gustavo; Rubinstein da Silva, Elías; Leaño, Juan Manuel; Ribeiro, Karisa Maia; Scholl, Lynn; Moya Gómez, Borja; Condeço Melhorado, Ana Margarida; Benítez, Carolina
    La presente nota técnica explica de qué manera el análisis de grandes volúmenes de datos de la telefonía móvil puede aplicarse a la planificación del transporte y la infraestructura urbana. La actividad de los usuarios permite conocer su huella digital y, por lo tanto, entender sus trayectorias espacio-temporales de manera desagregada y extrapolada, estableciendo matrices de origen destino. La producción de grandes volúmenes de datos masivos, Big Data, abre interesantes posibilidades para entender los flujos de movilidad de nuestras ciudades de la región y su complementariedad con los métodos tradicionales de recolección de datos, como los son las encuestas de movilidad domiciliarias de origen destino de viajes, permitiendo disponer de información siempre actualizada y en menor tiempo. La nota técnica agrupa y sistematiza los conocimientos generados por especialistas e investigadores de distintos países del mundo; y analiza 6 casos de éxito realizados de implementación en distintas ciudades latinoamericanas y en otros ámbitos internacionales, donde se indica cómo se han obtenido esas matrices de viajes y cuáles han sido sus aplicaciones.
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    The digital footprint of the cycling city GPS cycle routes visualization and analysis
    (2019) Romanillos Arroyo, Gustavo; Gutiérrez Puebla, Javier; Lamíquiz Daudén, Patxi
    This famous quote by the American cyclist John Howard (1987) highlights an important fact for this thesis: cycling mobility is extraordinarily complex because the human engines that the quote refers to are affected by a wide range of physical, social, environmental and psychological factors. This is the reason why cycling mobility is being currently analysed from multiple perspectives by researchers from many different disciplines. In addition, the fact that research production on cycling mobility has grown exponentially over the last years, also evidences the extraordinary interests of this field of research. However, there are some relevant aspects of cycling mobility that still remain relatively underexplored, such as its spatial dimension, which is the main focus of interest of this research. This thesis essentially explores cycling mobility across the city, and its main objective is to collect, visualise, analyse and model cyclists’ routes and the distribution of cycling flow across the urban street network,with the aim of reaching a better understanding of cyclists’ behaviour and cycling mobility patterns in cities. The research also aimed at analysing cyclists’ operating speeds, estimating cycling travel times and performing a comparative analysis of cycling accessibility in relation to other transport modes. Finally, it aimed at predicting the values of cycling travel times and cycling accessibility for future scenarios, derived from the implementation of specific policies or the construction of particular infrastructure...
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    Cómo aplicar big data en la planificación del transporte urbano: El uso de datos de telefonía móvil en el análisis de la movilidad
    (2019) Gutiérrez Puebla, Javier; Benítez, Carolina; Leaño, Juan Manuel; García Palomares, Juan Carlos; Condeço Melhorado, Ana Margarida; Mojica, Carlos; Scholl, Lynn; Vera, Felipe; Adler, Verónica; Moya Gómez, Borja; Romanillos Arroyo, Gustavo; Benítez, Carolina
    La presente nota técnica explica de qué manera el análisis de grandes volúmenes de datos de la telefonía móvil puede aplicarse a la planificación del transporte y la infraestructura urbana. La actividad de los usuarios permite conocer su huella digital y, por lo tanto, entender sus trayectorias espacio temporales de manera desagregada y extrapolada, estableciendo matrices de origen destino. La producción de grandes volúmenes de datos masivos, Big Data, abre interesantes posibilidades para entender los flujos de movilidad de nuestras ciudades de la región y su complementariedad con los métodos tradicionales de recolección de datos, como los son las encuestas de movilidad domiciliarias de origen destino de viajes, permitiendo disponer de información siempre actualizada y en menor tiempo. La nota técnica agrupa y sistematiza los conocimientos generados por especialistas e investigadores de distintos países del mundo; y analiza distintos casos de éxito realizados de implementación de dicha metodología en distintas ciudades latinoamericanas y en otros ámbitos internacionales, donde se indica cómo se han obtenido esas matrices de viajes y cuáles han sido sus aplicaciones.
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    Madrid cycle track: visualizing the cyclable city
    (Journal of Maps, 2015) Romanillos Arroyo, Gustavo; Zaltz Austwick, Martin
    Maps are currently experiencing a paradigm shift from static representations to dynamic platforms that capture, visualize and analyse new data, bringing different possibilities for exploration and research. The first objective of this paper is to present a map that illustrates, for the first time, the real flow of casual cyclists and bike messengers in the city of Madrid. The second objective is to describe the development and results of the Madrid Cycle Track initiative, an online platform launched with the aim of collecting cycling routes and other information from volunteers. In the framework of this initiative, different online maps are presented and their functionalities described. Finally, a supplemental video visualizes the cyclist flow over the course of a day.
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    Cyclists do better: analyzing urban cycling operating speeds and accessibility
    (International Journal of Sustainable Transportation, 2019) Romanillos Arroyo, Gustavo; Gutiérrez Puebla, Javier
    Given the growing interest in promoting more sustainable urban transport, over the past years, many researchers have analyzed cycling mobility from different perspectives. However, some important aspects remain underexplored. One of them is the study of cycling speeds. The first goal of this research is to analyze the impact of a wide range of factor on cyclists’ speeds. Based on the examination of thousands of GPS routes, the investigation conducts diverse OLS regressions in order to analyze cyclists’ speed according to the diverse local factors that affect cyclists along their journey, such as the slope, the existence – and type – of bike infrastructures, the average traffic speed or the density of traffic lights or intersections. Cycling speed is also analyzed according to cyclists’ gender or age, the purpose of the journey, or even the weather conditions. The research includes the analysis of regular cyclists’ trips, as well as the analysis of bike-messengers’ routes. The results obtained shed light on the influence of these factors on cyclists’ speed by quantifying their specific impact, and diverse models predict cyclists’ travel times in the current scenario but also in future ones that may correspond to the implementation of new infrastructure or policies. In addition, the models allowed us to pursue the second goal of this study: to conduct a comparative analysis of accessibility for different transport modes, and then evaluate the competitiveness between them. The results evidence that cycling is not only a sustainable transport mode, but the most competitive for small-medium distances.
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    Exploring the spatio-temporal dynamics of moped-style scooter sharing services in urban areas
    (Journal of Transport Geography, 2021) Arias Molinares, Daniela; Romanillos Arroyo, Gustavo; García Palomares, Juan Carlos; Gutiérrez Puebla, Javier
    Spain is one of the countries with the highest shared mobility fleet in the world. The shared use of motorcycles, also known as moped-style scooter sharing, has spread far and wide throughout the country at a dramatic pace in recent years. Despite its increasing popularity and impact on urban mobility, efforts devoted to the study of its spatio-temporal travel patterns are still scant. Based on the analysis of GPS records of an operator present in seven Spanish cities, this study aims to contribute to this research gap by analysing mopeds’ location patterns over time and assessing how different dynamics influence its usage level and self-balance potential. Our study is replicable to different cities and different shared modes, since we propose a methodology to identify the most important origins and destinations over time and analyse the system’s self-balance capacity based on spatial autocorrelation tools. These insights are useful for operators to adjust and optimise vehicle distribution routes and maintenance/recharge tasks, decreasing congestion and increasing efficiency. The results may also be helpful for policy makers when planning and offering effective policies and infrastructure to encourage shared mobility.