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Dr. Borja Moya-Gómez
Universidad Politécnica de Madrid

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Journal article
Published: 28 July 2021 in Applied Geography
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Due to the rapid expansion of the COVID-19 pandemic, many countries ordained lockdowns, establishing different restrictions on people’s mobility. Exploring to what extent these measures have been effective is critical in order to better respond to similar future scenarios. This article uses anonymous mobile phone data to study the impact of the Spanish lockdown on the daily dynamics of the Madrid metropolitan area (Spain). The analysis has been carried out for a reference week prior to the lockdown and during several weeks of the lockdown in which different restrictions were in place. During these weeks, population distribution is compared during the day and at night and presence profiles are obtained throughout the day for each type of land use. In addition, a spatial multiple regression analysis is carried out to determine the impact of the different land uses on the local population. The results in the reference week, pre-COVID-19, show how the population in activity areas increases in each time slot on a specific day and how in residential areas it decreases. However, during the lockdown, activity areas cease to attract population during the day and the residential areas therefore no longer show a decrease. Only basic essential commercial activities, or others that require the presence of workers (industrial or logistics) maintain some activity during lockdown.

ACS Style

Gustavo Romanillos; Juan Carlos García-Palomares; Borja Moya-Gómez; Javier Gutiérrez; Javier Torres; Mario López; Oliva G. Cantú-Ros; Ricardo Herranz. The city turned off: Urban dynamics during the COVID-19 pandemic based on mobile phone data. Applied Geography 2021, 134, 102524 .

AMA Style

Gustavo Romanillos, Juan Carlos García-Palomares, Borja Moya-Gómez, Javier Gutiérrez, Javier Torres, Mario López, Oliva G. Cantú-Ros, Ricardo Herranz. The city turned off: Urban dynamics during the COVID-19 pandemic based on mobile phone data. Applied Geography. 2021; 134 ():102524.

Chicago/Turabian Style

Gustavo Romanillos; Juan Carlos García-Palomares; Borja Moya-Gómez; Javier Gutiérrez; Javier Torres; Mario López; Oliva G. Cantú-Ros; Ricardo Herranz. 2021. "The city turned off: Urban dynamics during the COVID-19 pandemic based on mobile phone data." Applied Geography 134, no. : 102524.

Journal article
Published: 10 March 2021 in European Transport Research Review
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Background The COVID-19 crisis has meant a significant change in the lifestyle of millions of people worldwide. With a lockdown that lasted almost three months and an impulse to new normality, transport demand has suffered a considerable impact in the Spanish case. It is mandatory to explore the effect of the pandemic on changes in travel behaviour in post-COVID-19 times. Methodology A nationwide survey was carried out during the lockdown in Spring 2020 to overview the recent changes. The survey collected both stated preferences (socio-demographic characteristics and mobility-related attributes), and revealed preferences (individuals’ habits, especially in the frequency of the trips according to the trip purpose, and opinions regarding the willingness and acceptability of these changes, and which actors would have to drive them, and how) of individuals. This paper aims to study and understand the willingness to adopt a set of measures to improve the safety conditions of public transport and shared mobility services against possible contagion from COVID-19 and the willingness to pay for them. Results The results obtained show that some measures, such as the increase of supply and vehicle disinfection, result in a greater willingness to use public transport in post-COVID-19 times. Similarly, the provision of covers for handlebars and steering wheels also significantly increases individuals’ willingness to use sharing services. However, respondents expect that these measures and improvements would be implemented but maintaining the same pre-COVID-19 prices. The results of this research might help operators deploy strategies to adopt their services and retain users.

ACS Style

Samir Awad-Núñez; Raky Julio; Juan Gomez; Borja Moya-Gómez; Julián Sastre González. Post-COVID-19 travel behaviour patterns: impact on the willingness to pay of users of public transport and shared mobility services in Spain. European Transport Research Review 2021, 13, 1 -18.

AMA Style

Samir Awad-Núñez, Raky Julio, Juan Gomez, Borja Moya-Gómez, Julián Sastre González. Post-COVID-19 travel behaviour patterns: impact on the willingness to pay of users of public transport and shared mobility services in Spain. European Transport Research Review. 2021; 13 (1):1-18.

Chicago/Turabian Style

Samir Awad-Núñez; Raky Julio; Juan Gomez; Borja Moya-Gómez; Julián Sastre González. 2021. "Post-COVID-19 travel behaviour patterns: impact on the willingness to pay of users of public transport and shared mobility services in Spain." European Transport Research Review 13, no. 1: 1-18.

Article
Published: 26 January 2021 in Transportation
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This paper aims to evaluate the impacts of the economic context on traffic congestion and its consequential effects on private vehicle accessibility. We conduct a long-term analysis of spatiotemporal traffic congestion patterns in Madrid (Spain), comparing two urban realms: the 2008 economic crisis and the following post-crisis situation. We apply TomTom Speed Profiles data to assess daily variations in traffic congestion and their changes between both periods, and Twitter data to capture spatial patterns of the daily pulse of the city. Increased traffic, a by-product of economic recovery, resulted in higher congestion, particularly during peak hours. Nevertheless, these changes are spatially uneven. In the city core, an increase in congestion is relatively temporally homogeneous, while in the peripheral suburban zones, there has been only a marginal increase in travel times. On the other hand, in the urban outskirts, increased traffic congestion is more severe but visibly different between north and south. These differences have strong social connotations: over 40% of the population experienced a dramatic increase in travel times (more than 25%) during peak hours. Moreover, low-income groups are more likely to live in the more affected southern districts, suffering most the negative consequences of increased congestion.

ACS Style

Amparo Moyano; Marcin Stępniak; Borja Moya-Gómez; Juan Carlos García-Palomares. Traffic congestion and economic context: changes of spatiotemporal patterns of traffic travel times during crisis and post-crisis periods. Transportation 2021, 1 -24.

AMA Style

Amparo Moyano, Marcin Stępniak, Borja Moya-Gómez, Juan Carlos García-Palomares. Traffic congestion and economic context: changes of spatiotemporal patterns of traffic travel times during crisis and post-crisis periods. Transportation. 2021; ():1-24.

Chicago/Turabian Style

Amparo Moyano; Marcin Stępniak; Borja Moya-Gómez; Juan Carlos García-Palomares. 2021. "Traffic congestion and economic context: changes of spatiotemporal patterns of traffic travel times during crisis and post-crisis periods." Transportation , no. : 1-24.

Journal article
Published: 29 October 2020 in ISPRS International Journal of Geo-Information
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World tourism dynamics are in constant change, as well as they are deeply shaping the trajectories of cities. The “call effect” for having the World Heritage status has boosted tourism in many cities. The large number of visitors and the side effects, such as the overcrowding of central spaces, are arousing the need to develop and protect heritage assets. Hence, the analysis of tourist spatial behaviour is critical for tackling the needs of touristified cities correctly. In this article, individual visitor spatiotemporal trajectories are reconstructed along with the urban network using thousands of geotagged Flickr photos taken by visitors in the historic centre of the World Heritage City of Toledo (Spain). A process of trajectory reconstruction using advanced GIS techniques has been implemented. The spatial behaviour has been used to classify the tourist sites offered on the city’s official tourist map, as well as to identify the association with the land uses. Results bring new knowledge to understand visitor spatial behaviour and new visions about the influence of the urban environment and its uses on the visitor spatial behaviour. Our findings illustrate how tourist attractions and the location of mixed commercial and recreational uses shape the visitor spatial behaviour. Overflowed streets and shadow areas underexplored by visitors are pinpointed.

ACS Style

Antoni Domènech; Inmaculada Mohino; Borja Moya-Gómez. Using Flickr Geotagged Photos to Estimate Visitor Trajectories in World Heritage Cities. ISPRS International Journal of Geo-Information 2020, 9, 646 .

AMA Style

Antoni Domènech, Inmaculada Mohino, Borja Moya-Gómez. Using Flickr Geotagged Photos to Estimate Visitor Trajectories in World Heritage Cities. ISPRS International Journal of Geo-Information. 2020; 9 (11):646.

Chicago/Turabian Style

Antoni Domènech; Inmaculada Mohino; Borja Moya-Gómez. 2020. "Using Flickr Geotagged Photos to Estimate Visitor Trajectories in World Heritage Cities." ISPRS International Journal of Geo-Information 9, no. 11: 646.

Journal article
Published: 27 August 2020 in Sustainability
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The Olympic Games have a huge impact on the cities where they are held, both during the actual celebration of the event, and before and after it. This study presents a new approach based on spatial analysis, GIS, and data coming from Location-Based Social Networks to model the spatiotemporal dimension of impacts associated with the Rio 2016 Olympic Games. Geolocalized data from Twitter are used to analyze the activity pattern of users from two different viewpoints. The first monitors the activity of Twitter users during the event—The arrival of visitors, where they came from, and the use which residents and tourists made of different areas of the city. The second assesses the spatiotemporal use of the city by Twitter users before the event, compared to the use during and after the event. The results not only reveal which spaces were the most used while the Games were being held but also changes in the urban dynamics after the Games. Both approaches can be used to assess the impacts of mega-events and to improve the management and allocation of urban resources such as transport and public services infrastructure.

ACS Style

Ana Condeço-Melhorado; Inmaculada Mohino; Borja Moya-Gómez; Juan García-Palomares. The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data. Sustainability 2020, 12, 7003 .

AMA Style

Ana Condeço-Melhorado, Inmaculada Mohino, Borja Moya-Gómez, Juan García-Palomares. The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data. Sustainability. 2020; 12 (17):7003.

Chicago/Turabian Style

Ana Condeço-Melhorado; Inmaculada Mohino; Borja Moya-Gómez; Juan García-Palomares. 2020. "The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data." Sustainability 12, no. 17: 7003.

Preprint
Published: 12 July 2020
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Olympic Games have a huge impact on the cities where they are held, both during the actual celebration of the event and before and after it. This study presents a new approach based on spatial analysis, GIS, and data coming from Location Based Social Networks to model the spatiotemporal dimension of impacts associated with the Rio 2016 Olympic Games. Geolocalized data from Twitter are used to analyze the activity pattern of users from two different viewpoints. The first monitors the activity of Twitter users during the event -the arrival of visitors, where they came from, and the use resident and tourist made of different areas of the city. The second assesses the spatiotemporal use of the city by Twitter users before the event, compared to the use during and after the event. The results not only reveal which spaces were the most used while the Games were being held but also changes in the urban dynamics after the Games. Both approaches can be used to assess the impacts of mega-events and to improve the management and allocation of urban resources such as transport and public services infrastructure.

ACS Style

Ana Condeço-Melhorado; Inmaculada Mohino; Borja Moya-Gómez; Juan Carlos García-Palomares. The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data. 2020, 1 .

AMA Style

Ana Condeço-Melhorado, Inmaculada Mohino, Borja Moya-Gómez, Juan Carlos García-Palomares. The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data. . 2020; ():1.

Chicago/Turabian Style

Ana Condeço-Melhorado; Inmaculada Mohino; Borja Moya-Gómez; Juan Carlos García-Palomares. 2020. "The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data." , no. : 1.

Report
Published: 01 July 2020 in Cómo aplicar Big Data en la planificación del transporte: El uso de datos de GPS en el análisis de la movilidad urbana
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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, dada su complementariedad con los métodos tradicionales de recolección de datos. La presente nota técnica tiene como objetivo presentar las oportunidades que el uso de Big Bata a partir de registros GPS ofrecen a la hora de entender y planificar la movilidad urbana. Aportará información sobre las fuentes de datos de las que se puede obtener información GPS, las características específicas de este tipo de datos, las metodologías para derivar de los datos información útil en la planificación del transporte, principales ventajas y limitaciones. Incluye, asimismo, estudios de caso que permitirán ilustrar la multiplicidad de posibles aplicaciones y encontrar en un mismo documento una agrupación y sistematización sobre los conocimientos generados por técnicos e investigadores en los últimos años.

ACS Style

Javier Gutiérrez Puebla; Carolina Benítez; Juan Carlos García Palomares; Gustavo Romanillos Arroyo; Elías Rubinstein; Juan Manuel Leaño; Karisa Maia Ribeiro; Lynn Scholl; Borja Moya-Gómez; Ana Condeço Melhorado. Cómo aplicar Big Data en la planificación del transporte: El uso de datos de GPS en el análisis de la movilidad urbana. Cómo aplicar Big Data en la planificación del transporte: El uso de datos de GPS en el análisis de la movilidad urbana 2020, 1 .

AMA Style

Javier Gutiérrez Puebla, Carolina Benítez, Juan Carlos García Palomares, Gustavo Romanillos Arroyo, Elías Rubinstein, Juan Manuel Leaño, Karisa Maia Ribeiro, Lynn Scholl, Borja Moya-Gómez, Ana Condeço Melhorado. Cómo aplicar Big Data en la planificación del transporte: El uso de datos de GPS en el análisis de la movilidad urbana. Cómo aplicar Big Data en la planificación del transporte: El uso de datos de GPS en el análisis de la movilidad urbana. 2020; ():1.

Chicago/Turabian Style

Javier Gutiérrez Puebla; Carolina Benítez; Juan Carlos García Palomares; Gustavo Romanillos Arroyo; Elías Rubinstein; Juan Manuel Leaño; Karisa Maia Ribeiro; Lynn Scholl; Borja Moya-Gómez; Ana Condeço Melhorado. 2020. "Cómo aplicar Big Data en la planificación del transporte: El uso de datos de GPS en el análisis de la movilidad urbana." Cómo aplicar Big Data en la planificación del transporte: El uso de datos de GPS en el análisis de la movilidad urbana , no. : 1.

Report
Published: 13 December 2019 in Como aplicar big data en la planificación del transporte urbano: El uso de datos de telefonía móvil en el análisis de la movilidad
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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.

ACS Style

Lynn Scholl; Carlos Mojica; Juan Manuel Leaño; Felipe Vera; Carolina Benitez; Verónica Adler; Javier Gutierrez; Juan Carlos Garcia Palomares; Ana Condeço Melhorado; Borja Moya-Gómez; Gustavo Romanillos Arroyo. Como aplicar big data en la planificación del transporte urbano: El uso de datos de telefonía móvil en el análisis de la movilidad. Como aplicar big data en la planificación del transporte urbano: El uso de datos de telefonía móvil en el análisis de la movilidad 2019, 1 .

AMA Style

Lynn Scholl, Carlos Mojica, Juan Manuel Leaño, Felipe Vera, Carolina Benitez, Verónica Adler, Javier Gutierrez, Juan Carlos Garcia Palomares, Ana Condeço Melhorado, Borja Moya-Gómez, Gustavo Romanillos Arroyo. Como aplicar big data en la planificación del transporte urbano: El uso de datos de telefonía móvil en el análisis de la movilidad. Como aplicar big data en la planificación del transporte urbano: El uso de datos de telefonía móvil en el análisis de la movilidad. 2019; ():1.

Chicago/Turabian Style

Lynn Scholl; Carlos Mojica; Juan Manuel Leaño; Felipe Vera; Carolina Benitez; Verónica Adler; Javier Gutierrez; Juan Carlos Garcia Palomares; Ana Condeço Melhorado; Borja Moya-Gómez; Gustavo Romanillos Arroyo. 2019. "Como aplicar big data en la planificación del transporte urbano: El uso de datos de telefonía móvil en el análisis de la movilidad." Como aplicar big data en la planificación del transporte urbano: El uso de datos de telefonía móvil en el análisis de la movilidad , no. : 1.

Journal article
Published: 06 December 2019 in Sustainability
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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.

ACS Style

Carolina Barros; Borja Moya-Gómez; Juan Carlos García-Palomares. Identifying Temporal Patterns of Visitors to National Parks through Geotagged Photographs. Sustainability 2019, 11, 6983 .

AMA Style

Carolina Barros, Borja Moya-Gómez, Juan Carlos García-Palomares. Identifying Temporal Patterns of Visitors to National Parks through Geotagged Photographs. Sustainability. 2019; 11 (24):6983.

Chicago/Turabian Style

Carolina Barros; Borja Moya-Gómez; Juan Carlos García-Palomares. 2019. "Identifying Temporal Patterns of Visitors to National Parks through Geotagged Photographs." Sustainability 11, no. 24: 6983.

Articles
Published: 18 May 2019 in Current Issues in Tourism
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This article explores the potential of geotagged data from social networks to analyse visitors’ behaviour in national parks, taking the Teide National Park as a study area. Given its unique landscape and characteristics, plus the fact that it is the most visited national park in Spain, Teide National Park presents itself as a suitable candidate to explore new sources of data for studying visitors’ behaviour in national parks. Through data from a social photo-sharing website (Flickr) and GPS tracks from a web platform (Wikiloc), we outline several visitors’ characteristics such as the spatial distribution of visitors, the points of interest with the most visits, itinerary network, temporal distribution and visitors’ country of origin. Additionally, we propose a practical use of geotagged data for determining optimal locations for new facilities such as information stands. Results show that data from social networks is suitable to analyse visitor behaviour in protected areas.

ACS Style

Carolina Barros; Borja Moya-Gómez; Javier Gutiérrez. Using geotagged photographs and GPS tracks from social networks to analyse visitor behaviour in national parks. Current Issues in Tourism 2019, 23, 1291 -1310.

AMA Style

Carolina Barros, Borja Moya-Gómez, Javier Gutiérrez. Using geotagged photographs and GPS tracks from social networks to analyse visitor behaviour in national parks. Current Issues in Tourism. 2019; 23 (10):1291-1310.

Chicago/Turabian Style

Carolina Barros; Borja Moya-Gómez; Javier Gutiérrez. 2019. "Using geotagged photographs and GPS tracks from social networks to analyse visitor behaviour in national parks." Current Issues in Tourism 23, no. 10: 1291-1310.

Journal article
Published: 09 April 2019 in Cuadernos Geográficos
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En este artículo se analizan los impactos en la accesibilidad territorial en Andalucía de las actuaciones en carreteras planificadas por la Consejería de Fomento y Vivienda de la Junta de Andalucía. Para ello, se ha desarrollado una herramienta informática basada en Sistemas de Información Geográfica, y se han calculado una serie de indicadores de accesibilidad y cohesión territorial. Para llevar a cabo el análisis de los efectos del Plan de Infraestructuras para la Sostenibilidad del Transporte en Andalucía, se han contemplado dos escenarios: uno sin las actuaciones previstas y otro con todas las actuaciones planeadas implementadas. También se han estudiado los efectos de dicho plan sobre la accesibilidad a hospitales, universidades y centros logísticos, así como las mejoras inducidas por cuatro importantes actuaciones concretas. Los resultados muestran mejoras significativas, como una reducción media en los tiempos de viaje del 3,6%, y que las actuaciones del plan de infraestructuras potencian la cohesión territorial.

ACS Style

Francisco Calvo-Poyo; Borja Moya-Gómez; Juan Carlos García Palomares; Javier Gutiérrez Puebla. Efectos sobre la accesibilidad de la red de autovías planeada en el Plan de Infraestructuras para la Sostenibilidad del Transporte en Andalucía (España). Cuadernos Geográficos 2019, 58, 229-252 .

AMA Style

Francisco Calvo-Poyo, Borja Moya-Gómez, Juan Carlos García Palomares, Javier Gutiérrez Puebla. Efectos sobre la accesibilidad de la red de autovías planeada en el Plan de Infraestructuras para la Sostenibilidad del Transporte en Andalucía (España). Cuadernos Geográficos. 2019; 58 (1):229-252.

Chicago/Turabian Style

Francisco Calvo-Poyo; Borja Moya-Gómez; Juan Carlos García Palomares; Javier Gutiérrez Puebla. 2019. "Efectos sobre la accesibilidad de la red de autovías planeada en el Plan de Infraestructuras para la Sostenibilidad del Transporte en Andalucía (España)." Cuadernos Geográficos 58, no. 1: 229-252.

Journal article
Published: 20 December 2018 in Regional Studies
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This paper analyzes the changes in spatial–temporal job accessibility by car in the Netherlands during the economic crisis (2009–14). It also assesses which component change is the most determinant in accessibility changes per municipality and part of the day. The paper shows that changes in job distribution reduced accessibility in almost the entire country, except around Amsterdam. Improvements in the road network capacity increased accessibility in the central provinces, particularly during peak hours. In summary, the values of job accessibility by car in the Netherlands became more transport dependent, except in the Amsterdam region.

ACS Style

Borja Moya-Gómez; Karst T. Geurs. The spatial–temporal dynamics in job accessibility by car in the Netherlands during the crisis. Regional Studies 2018, 54, 527 -538.

AMA Style

Borja Moya-Gómez, Karst T. Geurs. The spatial–temporal dynamics in job accessibility by car in the Netherlands during the crisis. Regional Studies. 2018; 54 (4):527-538.

Chicago/Turabian Style

Borja Moya-Gómez; Karst T. Geurs. 2018. "The spatial–temporal dynamics in job accessibility by car in the Netherlands during the crisis." Regional Studies 54, no. 4: 527-538.

Journal article
Published: 29 October 2018 in Journal of Transport Geography
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Accessibility by high-speed rail (HSR) depends not only on station-to-station travel time, but also on access and egress times, which can be determining factors in total journey travel time. However, studies focusing on accessibility analyses of access/egress times to/from stations are less extended in the literature and centre mainly on the influence of access times to stations on HSR accessibility levels on a regional scale. This paper's aim is to evaluate the importance of access and egress times to/from HSR stations in an urban context. We carry out a spatiotemporal accessibility analysis that considers the temporal variations of both taxi and public transport travel times. General Transit Feed Specification (GTFS) files for public transport and TomTom Speed Profiles data for cars are used to measure access/egress times. These kinds of data allow for the calculation of travel times from/to HSR stations through network analysis GIS tools at different times of the day, and thus a spatiotemporal accessibility measure can be obtained. This accessibility measure is complemented by a mass factors representing the activity ‘hotspots’ in the visited city throughout the workday, which is derived from Twitter data, while population is considered for city of residence. This method was applied to the two largest metropolitan areas in Spain: Madrid and Barcelona, where the influence of access/egress times acquires a higher relevance for rail-based trips. The results obtained show that access and egress times vary significantly during the day, depending on the levels of traffic congestion and the frequency of public transport services, which are always more favourable for taxis. In addition, weighted average access and egress times at the home end are higher than those at the activity end since population tends to show more dispersed spatial patterns than activities. Another interesting finding is that the first and last mile of the HSR trip usually account for a high percentage increase in travel time (about 35% for taxis and 55% for public transport, respectively). These results have important policy implications. The paper suggests that HSR accessibility can be improved also by improving local transport services, scheduling coordination and land use policies.

ACS Style

Amparo Moyano; Borja Moya-Gómez; Javier Gutiérrez. Access and egress times to high-speed rail stations: a spatiotemporal accessibility analysis. Journal of Transport Geography 2018, 73, 84 -93.

AMA Style

Amparo Moyano, Borja Moya-Gómez, Javier Gutiérrez. Access and egress times to high-speed rail stations: a spatiotemporal accessibility analysis. Journal of Transport Geography. 2018; 73 ():84-93.

Chicago/Turabian Style

Amparo Moyano; Borja Moya-Gómez; Javier Gutiérrez. 2018. "Access and egress times to high-speed rail stations: a spatiotemporal accessibility analysis." Journal of Transport Geography 73, no. : 84-93.

Journal article
Published: 01 June 2018 in Tourism Management
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ACS Style

Maria Henar Salas-Olmedo; Borja Moya-Gómez; Juan Carlos García-Palomares; Javier Gutiérrez. Tourists' digital footprint in cities: Comparing Big Data sources. Tourism Management 2018, 66, 13 -25.

AMA Style

Maria Henar Salas-Olmedo, Borja Moya-Gómez, Juan Carlos García-Palomares, Javier Gutiérrez. Tourists' digital footprint in cities: Comparing Big Data sources. Tourism Management. 2018; 66 ():13-25.

Chicago/Turabian Style

Maria Henar Salas-Olmedo; Borja Moya-Gómez; Juan Carlos García-Palomares; Javier Gutiérrez. 2018. "Tourists' digital footprint in cities: Comparing Big Data sources." Tourism Management 66, no. : 13-25.

Article
Published: 13 April 2018 in Transportation
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The analysis of complex networks has been carried out in different fields using an ample variety of method and concepts. Recently, in the general literature of regional economics, the concepts of resilience, connectivity, vulnerability and criticality have been gaining their momentum. The aim of this paper is to provide an analytical framework, using well-known accessibility indicators, in order to calculate the critical links or road sections of the Spanish high-capacity road network. Our analysis will be based on approximately four hundred sections that will be classified in five different groups according to their criticality degree in the whole network. Our analysis will be complemented with the comparison of the results obtained in five different scenarios, namely the average criticality using the effects on the whole country, Madrid, Barcelona, Valencia and Pontevedra. Furthermore, the paper will also analyze what kind of intrinsic characteristics of the sections favor or not the links’ criticality using a method based on a classification and regression tree. This analysis is crucial to understand other important concepts that are recently being studied in network and spatial economics, like, for example, resilience and vulnerability. It is concluded that the number of relations or routes, being a trunk or not, the road density and the time to Madrid capital play an important role in the criticality of the roads section in the high capacity road network.

ACS Style

Juan Carlos García-Palomares; Javier Gutiérrez; Juan Carlos Martín; Borja Moya-Gómez. An analysis of the Spanish high capacity road network criticality. Transportation 2018, 45, 1139 -1159.

AMA Style

Juan Carlos García-Palomares, Javier Gutiérrez, Juan Carlos Martín, Borja Moya-Gómez. An analysis of the Spanish high capacity road network criticality. Transportation. 2018; 45 (4):1139-1159.

Chicago/Turabian Style

Juan Carlos García-Palomares; Javier Gutiérrez; Juan Carlos Martín; Borja Moya-Gómez. 2018. "An analysis of the Spanish high capacity road network criticality." Transportation 45, no. 4: 1139-1159.

Journal article
Published: 01 February 2018 in Cities
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Juan Carlos García-Palomares; María Henar Salas-Olmedo; Borja Moya-Gómez; Ana Condeço-Melhorado; Javier Gutiérrez. City dynamics through Twitter: Relationships between land use and spatiotemporal demographics. Cities 2018, 72, 310 -319.

AMA Style

Juan Carlos García-Palomares, María Henar Salas-Olmedo, Borja Moya-Gómez, Ana Condeço-Melhorado, Javier Gutiérrez. City dynamics through Twitter: Relationships between land use and spatiotemporal demographics. Cities. 2018; 72 ():310-319.

Chicago/Turabian Style

Juan Carlos García-Palomares; María Henar Salas-Olmedo; Borja Moya-Gómez; Ana Condeço-Melhorado; Javier Gutiérrez. 2018. "City dynamics through Twitter: Relationships between land use and spatiotemporal demographics." Cities 72, no. : 310-319.

Social science
Published: 01 January 2018 in Journal of Maps
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With the aim of shifting towards a more sustainable urban transport model, cycling mobility is being promoted in many cities and, in consequence, Bike Share Systems have been the focus of attention in an increasing number of studies over the past years. However, we know very little about 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 important questions to be addressed in order to implement policies and infrastructure where they are really needed. The main goal of this study is to visualise the cycling flow derived from Madrid BSS activity, obtained by processing over 250,000 GPS routes, and to provide an analysis 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.

ACS Style

Gustavo Romanillos; Borja Moya-Gómez; Martin Zaltz-Austwick; Fco Jose Lamiquiz Dauden. The pulse of the cycling city: visualising Madrid bike share system GPS routes and cycling flow. Journal of Maps 2018, 14, 34 -43.

AMA Style

Gustavo Romanillos, Borja Moya-Gómez, Martin Zaltz-Austwick, Fco Jose Lamiquiz Dauden. The pulse of the cycling city: visualising Madrid bike share system GPS routes and cycling flow. Journal of Maps. 2018; 14 (1):34-43.

Chicago/Turabian Style

Gustavo Romanillos; Borja Moya-Gómez; Martin Zaltz-Austwick; Fco Jose Lamiquiz Dauden. 2018. "The pulse of the cycling city: visualising Madrid bike share system GPS routes and cycling flow." Journal of Maps 14, no. 1: 34-43.

Journal article
Published: 01 June 2017 in Journal of Transport Geography
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Borja Moya-Gómez; Juan Carlos García-Palomares. The impacts of congestion on automobile accessibility. What happens in large European cities? Journal of Transport Geography 2017, 62, 148 -159.

AMA Style

Borja Moya-Gómez, Juan Carlos García-Palomares. The impacts of congestion on automobile accessibility. What happens in large European cities? Journal of Transport Geography. 2017; 62 ():148-159.

Chicago/Turabian Style

Borja Moya-Gómez; Juan Carlos García-Palomares. 2017. "The impacts of congestion on automobile accessibility. What happens in large European cities?" Journal of Transport Geography 62, no. : 148-159.

Preprint
Published: 22 May 2017
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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.

ACS Style

Juan Carlos Garcia-Palomares; María Henar Salas-Olmedo; Borja Moya-Gómez; Ana Condeço-Melhorado; Javier Gutierrrez. The pulse of the city through Twitter: relationships between land use and spatiotemporal demographics. 2017, 1 .

AMA Style

Juan Carlos Garcia-Palomares, María Henar Salas-Olmedo, Borja Moya-Gómez, Ana Condeço-Melhorado, Javier Gutierrrez. The pulse of the city through Twitter: relationships between land use and spatiotemporal demographics. . 2017; ():1.

Chicago/Turabian Style

Juan Carlos Garcia-Palomares; María Henar Salas-Olmedo; Borja Moya-Gómez; Ana Condeço-Melhorado; Javier Gutierrrez. 2017. "The pulse of the city through Twitter: relationships between land use and spatiotemporal demographics." , no. : 1.

Article
Published: 05 May 2017 in Networks and Spatial Economics
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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.

ACS Style

Borja Moya-Gómez; Maria Henar Salas-Olmedo; Juan Carlos García-Palomares; Javier Gutiérrez. Dynamic Accessibility using Big Data: The Role of the Changing Conditions of Network Congestion and Destination Attractiveness. Networks and Spatial Economics 2017, 18, 273 -290.

AMA Style

Borja Moya-Gómez, Maria Henar Salas-Olmedo, Juan Carlos García-Palomares, Javier Gutiérrez. Dynamic Accessibility using Big Data: The Role of the Changing Conditions of Network Congestion and Destination Attractiveness. Networks and Spatial Economics. 2017; 18 (2):273-290.

Chicago/Turabian Style

Borja Moya-Gómez; Maria Henar Salas-Olmedo; Juan Carlos García-Palomares; Javier Gutiérrez. 2017. "Dynamic Accessibility using Big Data: The Role of the Changing Conditions of Network Congestion and Destination Attractiveness." Networks and Spatial Economics 18, no. 2: 273-290.