Person:
Moya Gómez, Borja

First Name

Borja

Last Name

Moya Gómez

URI

https://hdl.handle.net/20.500.14352/80746

Affiliation

Universidad Complutense de Madrid

Faculty / Institute

Geografía e Historia

Department

Geografía

Area

Geografía Humana

Identifiers

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Search Results

Now showing 1 - 10 of 17

The pulse of the cycling city: visualising Madrid bike share system GPS routes and cycling flow
(Journal of Maps, 2018) Romanillos Arroyo, Gustavo; Moya Gómez, Borja; Zaltz-Austwick, Martin; Lamíquiz-Daudén, Patxi J.
With the aim of shifting towards a more sustainable urban transport model, cycling mobility isbeing promoted in many cities and, in consequence, Bike Share Systems have been the focus ofattention in an increasing number of studies over the past years. However, we know very littleabout the impact of these BSS in cities beyond the station level. What paths do cyclists follow?What are the most important urban arteries in terms of cycling flow? These are importantquestions to be addressed in order to implement policies and infrastructure where they arereally needed. The main goal of this study is to visualise the cycling flow derived fromMadrid BSS activity, obtained by processing over 250,000 GPS routes, and to provide ananalysis of how this flow is distributed across the urban street network at different moments.We explore the diverse levels of use over the course of the day, and during the weekdays,weekends or holidays, as well as the different cycling patterns of frequent and occasional users.
The daily dynamic potential accessibility by car in London on Wednesdays
(Journal of Maps, 2017) Moya Gómez, Borja; García Palomares, Juan Carlos
The map presented in this paper shows the effect of congestion on daily accessibility in the London metropolitan area on Wednesdays. Because of its dynamic nature, it is challenging to both calculate the effects of this phenomenon and to represent it clearly on simple maps. Although we can use many traditional techniques for this purpose, they are usually static, and they may lose some essential information on the effects studied. In this paper, we used two cartographic techniques rarely used in accessibility studies – cartograms and 3D maps, which we believe can achieve a more striking representation in static and animations of both the traffic-induced spatial distortion and the accessibility levels obtained. The results are presented in two animated maps and some snapshots of them – static maps. Both types of maps reinforce each other: Together, they can properly show the direct space–time link between congestion and accessibility, and can, therefore, give a more detailed overview of the consequences of this phenomenon.
Project number: 79
SIGUE - Materiales para actividades no presenciales en asignaturas vinculadas a los Sistemas de Información Geográfica (SIG): recopilación, preparación y evaluación
(2017) García Palomares, Juan Carlos; Gutiérrez Puebla, Javier; Rodríguez Moya, Juana María; Mínguez García, Carmen; de Andrés de Pablo, Nuria; Tanarro García, Luis Miguel; Vía García, Miguel; Salas Olmedo, María Henar; Moya Gómez, Borja; Romanillos Arroyo, Gustavo; Osorio Arjona, Joaquín; Fernández Fernández, José María
City dynamics through Twitter: Relationships between land use and spatiotemporal demographics
(Cities, 2018) García Palomares, Juan Carlos; Moya Gómez, Borja; Condeço Melhorado, Ana Margarida; Gutiérrez Puebla, Javier; Salas Olmedo, María Henar
Social network data offer interesting opportunities in urban studies. In this study, we used Twitter data to analyse city dynamics over the course of the day. Users of this social network were grouped according to city zone and time slot in order to analyse the daily dynamics of the city and the relationship between this and land use. First, daytime activity in each zone was compared with activity at night in order to determine which zones showed increased activity in each of the time slots. Then, typical Twitter activity profiles were obtained based on the predominant land use in each zone, indicating how land uses linked to activities were activated during the day, but at different rates depending on the type of land use. Lastly, a multiple regression analysis was performed to determine the influence of the different land uses on each of the major time slots (morning, afternoon, evening and night) through their changing coefficients. Activity tended to decrease throughout the day for most land uses (e.g. offices, education, health and transport), but remained constant in parks and increased in retail and residential zones. Our results show that social network data can be used to improve our understanding of the link between land use and urban dynamics.
Identifying Temporal Patterns of Visitors to National Parks through Geotagged Photographs
(Sustainability, 2019) Barros Sulca, Diana Carolina; Moya Gómez, Borja; García Palomares, Juan Carlos
Visitor data is essential for decision-making, policy formulation, and monitoring of protected areas. In this context, the data on the temporal distribution of visitors is essential to characterize influx and seasonality, and even to measure the carrying capacity of a site. However, obtaining information from visitors often involves high costs and long production times. Moreover, traditional visitor data has a limited level of detail. New sources of data can provide valuable information regarding the timing of visits. In this study, we tested the use of geotagged data to infer the temporal distribution of visitors to 15 Spanish national parks, and we identified temporal patterns of the visits at three levels: monthly, weekly, and daily. By comparing official monthly visitor counts and geotagged photographs from Flickr, we observed that the number of monthly users who upload photos significantly reflects the number of monthly visitors. Furthermore, the weekly and daily distributions of the Flickr data provided additional information that could contribute to identifying the periods of highest visitor pressure, design measures to manage the concentration of visitors, and improve the overall visitor experience. The results obtained indicate the potential of new data sources for visitor monitoring in protected areas and to open opportunities for future research. Moreover, monitoring tourism in protected areas is crucial to ensure the sustainability of their resources and to protect their biodiversity.
Project number: 230
BDinnova – Formación del profesorado en herramientas de manejo, análisis y visualización de BigData geolocalizado
(2019) García Palomares, Juan Carlos; Gutiérrez Puebla, Javier; Rodríguez Moya, Juana María; Mínguez García, María del Carmen; Michelini, Juan José; García Ruiz, Yolanda; Condeço Melhorado, Ana; Romanillos Arroyo, Gustavo; Vía García, Miguel; Jiménez Gómez, Isidro; Stepniak, Marcin; Moya Gómez, Borja; Osorio Arjona, Joaquín
The impacts of congestion on automobile accessibility. What happens in large European cities?
(Journal of Transport Geography, 2017) Moya Gómez, Borja; García Palomares, Juan Carlos
Every day, a significant part of the population in large cities suffers transport congestion. One effect of this is a change in the spatial distribution of accessibility, which may lead to people or businesses finding themselves temporally in areas where accessibility values are lower than either desired or required. This paper studies changes in automobile accessibility over the course of the day, as caused by congestion of the road network in eight metropolitan areas of the European Union: London, Paris, Madrid, Berlin, Barcelona, Rome, Hamburg and Milan. The study was carried out using millions of data points on real speeds on segments of the road networks gathered over the course of two years from TomTom® devices, which provided for the incorporation of a dynamic perspective of accessibility. In each of the areas studied, the different impacts of congestion on automobile accessibility can be observed from differences in the distribution of opportunities and the provision of infrastructures, as well as from differences in culture and customs. Despite these differences, all cities experience two peaks with a lower value during the morning and afternoon. However, results show differences in the intensity and form of the effects of congestion on accessibility in these metropolitan areas. London, Paris and Rome are the cities where congestion has the greatest impact on automobile accessibility, while the Spanish cities are hardly affected by it.
Working with the daily variation in infrastructure performance on territorial accessibility. The cases of Madrid and Barcelona
(European Transport Research Review, 2015) Moya Gómez, Borja; García Palomares, Juan Carlos
Purpose Accessibility measurements are good tools for analysing the performance of possible policies on land use / transport / society systems. Until now, accessibility has been approached from a static perspective, even when variations in it depend on short term temporal changes in network function. Solutions based on static measurements, with journey costs taken as units based on free-flow travel time; do not reflect real network performance at different times of the day. Methods In order to broaden our understanding of accessibility and study real-world dynamism in depth, information from new sources has been incorporated into traditional accessibility measurements, with actual observed data on the daily variations in speed profiles. These variations have been used to assess the impact of congestion on accessibility, with dynamic scenarios calculated every 15 min. Results The variations in daily accessibility in the metropolitan areas of Madrid and Barcelona (Spain) have been mapped with reasonable computational costs. Although both cities have a similar global behaviour pattern, each has a different daily spatial accessibility distribution. Madrid appears to be more resilient than Barcelona. Conclusions With new technologies it is possible to overcome previous technical barriers, such as the lack of reliable information or calculating capacity. An ordinary computer has been used to obtain complete and detailed temporal profiles of the two traditional accessibility measurements. Thanks to these new measurements, we have a better understanding of accessibility. However, in order to express a dynamic phenomenon in static format, appropriate mapping schemes would have to be devised.
Dynamic Accessibility using Big Data: The Role of the Changing Conditions of Network Congestion and Destination Attractiveness
(Networks and Spatial Economics, 2017) Moya Gómez, Borja; Salas-Olmedo, María Henar; García Palomares, Juan Carlos; Gutiérrez Puebla, Javier
Accessibility is essentially a dynamic concept. However, most studies on urban accessibility take a static approach, overlooking the fact that accessibility conditions change dramatically throughout the day. Due to their high spatial and temporal resolution, the new data sources (Big Data) offer new possibilities for the study of accessibility. The aim of this paper is to analyse urban accessibility considering its two components –the performance of the transport network and the attractiveness of the destinations– using a dynamic approach using data from TomTom and Twitter respectively. This allows us to obtain profiles that highlight the daily variations in accessibility in the city of Madrid, and identify the influence of congestion and the changes in location of the population. These profiles reveal significant variations according to transport zones. Each transport zone has its own accessibility profile, and thus its own specific problems, which require solutions that are also specific.
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.