2021
Zaragozí, Benito; Gutierrez, Aaron; Trilles-Oliver, Sergio
Analysis of Public Transport Mobility Data: A System for Sharing and Reusing GIS Database Queries Proceedings Article
In: Geographical Information Systems Theory, Applications and Management. GISTAM 2020, pp. 102-118, Springer, Cham, 2021, ISBN: 978-3-030-76374-9.
Abstract | Links | BibTeX | Tags: Geographic Information Systems (GIS), public transport, urban mobility
@inproceedings{Zaragozi2021d,
title = {Analysis of Public Transport Mobility Data: A System for Sharing and Reusing GIS Database Queries},
author = {Benito Zaragozí and Aaron Gutierrez and Sergio Trilles-Oliver},
doi = {https://doi.org/10.1007/978-3-030-76374-9_7},
isbn = {978-3-030-76374-9},
year = {2021},
date = {2021-06-01},
booktitle = {Geographical Information Systems Theory, Applications and Management. GISTAM 2020},
volume = {1411},
pages = {102-118},
publisher = {Springer, Cham},
series = {Communications in Computer and Information Science},
abstract = {Data from automated fare collection systems have become almost essential in the study of the mobility of people using public transport. Among other advantages, the data collected enable longitudinal studies to be carried out with a detail that other sources cannot approximate. However, despite the great potential of these data, the data collecting systems are usually intended for purely accounting purposes and not for carrying out mobility studies. Largely for this reason, these data are not always used to their full potential, and so it is necessary to propose strategies that allow the preparation and exploitation of these data, especially in those cases where the usefulness and value of the data have not yet been proven. This study proposes a workflow that seeks to prevent duplication of efforts when querying this type of data. The implementation of a generic database model and a protocol for sharing meaningful queries and results greatly facilitates an initial analysis of these data. This strategy has been applied within a specific project, but it could be the basis for sharing methods between different studies.},
keywords = {Geographic Information Systems (GIS), public transport, urban mobility},
pubstate = {published},
tppubtype = {inproceedings}
}
Data from automated fare collection systems have become almost essential in the study of the mobility of people using public transport. Among other advantages, the data collected enable longitudinal studies to be carried out with a detail that other sources cannot approximate. However, despite the great potential of these data, the data collecting systems are usually intended for purely accounting purposes and not for carrying out mobility studies. Largely for this reason, these data are not always used to their full potential, and so it is necessary to propose strategies that allow the preparation and exploitation of these data, especially in those cases where the usefulness and value of the data have not yet been proven. This study proposes a workflow that seeks to prevent duplication of efforts when querying this type of data. The implementation of a generic database model and a protocol for sharing meaningful queries and results greatly facilitates an initial analysis of these data. This strategy has been applied within a specific project, but it could be the basis for sharing methods between different studies.
Zaragozí, Benito; Trilles-Oliver, Sergio; Gutiérrez, Aaron
Passive Mobile Data for Studying Seasonal Tourism Mobilities: an Application in a Mediterranean Coastal Destination Journal Article
In: ISPRS International Journal of Geo-Information, vol. 10, no. 2, pp. 98, 2021.
Abstract | Links | BibTeX | Tags: mobile GIS, urban mobility
@article{Zaragozí2021,
title = {Passive Mobile Data for Studying Seasonal Tourism Mobilities: an Application in a Mediterranean Coastal Destination},
author = {Benito Zaragozí and Sergio Trilles-Oliver and Aaron Gutiérrez},
doi = {https://doi.org/10.3390/ijgi10020098},
year = {2021},
date = {2021-02-25},
journal = {ISPRS International Journal of Geo-Information},
volume = {10},
number = {2},
pages = {98},
abstract = {The article uses passive mobile data to analyse the complex mobilities that occur in a coastal region characterised by seasonal patterns of tourism activity. A large volume of data generated by mobile phone users has been selected and processed to subsequently display the information in the form of visualisations that are useful for transport and tourism research, policy, and practice. More specifically, the analysis consisted of four steps: (1) a dataset containing records for four days—two on summer days and two in winter—was selected, (2) these were aggregated spatially, temporally, and differentiating trips by local residents, national tourists, and international tourists, (3) origin-destination matrices were built, and (4) graph-based visualisations were created to provide evidence on the nature of the mobilities affecting the study area. The results of our work provide new evidence of how the analysis of passive mobile data can be useful to study the effects of tourism seasonality in local mobility patterns},
keywords = {mobile GIS, urban mobility},
pubstate = {published},
tppubtype = {article}
}
The article uses passive mobile data to analyse the complex mobilities that occur in a coastal region characterised by seasonal patterns of tourism activity. A large volume of data generated by mobile phone users has been selected and processed to subsequently display the information in the form of visualisations that are useful for transport and tourism research, policy, and practice. More specifically, the analysis consisted of four steps: (1) a dataset containing records for four days—two on summer days and two in winter—was selected, (2) these were aggregated spatially, temporally, and differentiating trips by local residents, national tourists, and international tourists, (3) origin-destination matrices were built, and (4) graph-based visualisations were created to provide evidence on the nature of the mobilities affecting the study area. The results of our work provide new evidence of how the analysis of passive mobile data can be useful to study the effects of tourism seasonality in local mobility patterns
Pajarito-Grajales, Diego; Maas, Suzanne; Attard, Maria; Gould, Michael
Path of least resistance: using geo-games and crowdsourced data to map cycling frictions Book Chapter
In: Skarlatidou, Artemis; (eds.) Geographic Citizen Science Design: No one left behind., Muki Haklay (Ed.): Chapter 8, pp. 165-185, UCL press, 2021, ISBN: 978-1-78735-614-6.
Abstract | Links | BibTeX | Tags: crowdsourcing, GEO-C, geogames, urban mobility
@inbook{Pajarito-Grajales2021,
title = {Path of least resistance: using geo-games and crowdsourced data to map cycling frictions},
author = {Diego Pajarito-Grajales and Suzanne Maas and Maria Attard and Michael Gould},
editor = {Artemis Skarlatidou and Muki Haklay (eds.) Geographic Citizen Science Design: No one left behind. },
doi = {https://doi.org/10.14324/111.9781787356122 },
isbn = {978-1-78735-614-6},
year = {2021},
date = {2021-01-03},
pages = {165-185},
publisher = {UCL press},
chapter = {8},
abstract = {Urban cycling is an alternative mode of transport promoted by cities worldwide to reduce congestion and pollution and to increase citizens’ physical activity (Oldenziel et al. 2015). Cycling data, such as information about the cycling modal share, preferred routes and the main constraints or frictions faced during cycling, can be used as an evidence base for urban planning, cycling infrastructure design, cycling advocacy campaigns, promotion of alternative commuting and the assessment of impacts and benefits of cycling planning and promotion (Gossling 2018). The same data also have wider applicability in planning cycling policies, for instance to evaluate the impact of...},
keywords = {crowdsourcing, GEO-C, geogames, urban mobility},
pubstate = {published},
tppubtype = {inbook}
}
Urban cycling is an alternative mode of transport promoted by cities worldwide to reduce congestion and pollution and to increase citizens’ physical activity (Oldenziel et al. 2015). Cycling data, such as information about the cycling modal share, preferred routes and the main constraints or frictions faced during cycling, can be used as an evidence base for urban planning, cycling infrastructure design, cycling advocacy campaigns, promotion of alternative commuting and the assessment of impacts and benefits of cycling planning and promotion (Gossling 2018). The same data also have wider applicability in planning cycling policies, for instance to evaluate the impact of...
2020
Klus, Roman; Klus, Lucie; Solomitckii, Dmitrii; Talvitie, Jukka; Valkama, Mikko
Deep Learning-Based Cell-Level and Beam-Level Mobility Management System Journal Article
In: Sensors, vol. 20, no. 24, pp. 7124, 2020, ISSN: 1424-8220.
Abstract | Links | BibTeX | Tags: A-wear, machine learning, urban mobility
@article{Klus2020a,
title = {Deep Learning-Based Cell-Level and Beam-Level Mobility Management System},
author = {Roman Klus and Lucie Klus and Dmitrii Solomitckii and Jukka Talvitie and Mikko Valkama},
doi = {https://doi.org/10.3390/s20247124},
issn = {1424-8220},
year = {2020},
date = {2020-12-11},
journal = {Sensors},
volume = {20},
number = {24},
pages = {7124},
abstract = {The deployment with beamforming-capable base stations in 5G New Radio (NR) requires an efficient mobility management system to reliably operate with minimum effort and interruption. In this work, we propose two artificial neural network models to optimize the cell-level and beam-level mobility management. Both models consist of convolutional, as well as dense, layer blocks. Based on current and past received power measurements, as well as positioning information, they choose the optimum serving cell and serving beam, respectively. The obtained results show that the proposed cell-level mobility model is able to sustain a strong serving cell and reduce the number of handovers by up to 94.4% compared to the benchmark solution when the uncertainty (representing shadowing, interference, etc.) is introduced to the received signal strength measurements. The proposed beam-level mobility management model is able to proactively choose and sustain the strongest serving beam, even when high uncertainty is introduced to the measurements.},
keywords = {A-wear, machine learning, urban mobility},
pubstate = {published},
tppubtype = {article}
}
The deployment with beamforming-capable base stations in 5G New Radio (NR) requires an efficient mobility management system to reliably operate with minimum effort and interruption. In this work, we propose two artificial neural network models to optimize the cell-level and beam-level mobility management. Both models consist of convolutional, as well as dense, layer blocks. Based on current and past received power measurements, as well as positioning information, they choose the optimum serving cell and serving beam, respectively. The obtained results show that the proposed cell-level mobility model is able to sustain a strong serving cell and reduce the number of handovers by up to 94.4% compared to the benchmark solution when the uncertainty (representing shadowing, interference, etc.) is introduced to the received signal strength measurements. The proposed beam-level mobility management model is able to proactively choose and sustain the strongest serving beam, even when high uncertainty is introduced to the measurements.
Zaragozí, Benito; Gutiérrez, A.; Trilles-Oliver, Sergio
Towards an Affordable GIS for Analysing Public Transport Mobility Data: A Preliminary File Naming Convention for Avoiding Duplication of Efforts Proceedings Article
In: Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, pp. 308-309, SciTePress, 2020, ISBN: 978-989-758-425-1.
Abstract | Links | BibTeX | Tags: urban mobility
@inproceedings{Zaragozí2020b,
title = {Towards an Affordable GIS for Analysing Public Transport Mobility Data: A Preliminary File Naming Convention for Avoiding Duplication of Efforts},
author = {Benito Zaragozí and A. Gutiérrez and Sergio Trilles-Oliver},
doi = {10.5220/0009766303020309},
isbn = {978-989-758-425-1},
year = {2020},
date = {2020-05-15},
booktitle = {Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM},
pages = {308-309},
publisher = {SciTePress},
abstract = {Automated fare collection systems for public transport generate a large volume of information on the mobility of people in urban environments. New technologies associated with Big Data can facilitate the analysis of these data. However, the application of these technologies can be expensive and resource-demanding, especially in medium and small cities. This paper presents the case of the metropolitan transport authority of Tarragona, for which an affordable and extensible analysis system has been developed, based on relational databases and custom scripts. Among the technical problems that have had to be overcome, one of the first has been the unambiguous definition of the numerous queries required by mobility experts. For different reasons, mobility researchers request aggregate data queries from smart transport cards logs (e.g. providing a descriptive statement) and expect manageable tables to be analysed in a spreadsheet. To standardise the definition of queries, a domain-specific language as a file naming convention has been proposed with which database managers and mobility experts can communicate efficiently, avoiding confusion, duplication of efforts and other problems detected. The file naming convention has been applied as an early version within the defined use case to verify the viability of this idea},
keywords = {urban mobility},
pubstate = {published},
tppubtype = {inproceedings}
}
Automated fare collection systems for public transport generate a large volume of information on the mobility of people in urban environments. New technologies associated with Big Data can facilitate the analysis of these data. However, the application of these technologies can be expensive and resource-demanding, especially in medium and small cities. This paper presents the case of the metropolitan transport authority of Tarragona, for which an affordable and extensible analysis system has been developed, based on relational databases and custom scripts. Among the technical problems that have had to be overcome, one of the first has been the unambiguous definition of the numerous queries required by mobility experts. For different reasons, mobility researchers request aggregate data queries from smart transport cards logs (e.g. providing a descriptive statement) and expect manageable tables to be analysed in a spreadsheet. To standardise the definition of queries, a domain-specific language as a file naming convention has been proposed with which database managers and mobility experts can communicate efficiently, avoiding confusion, duplication of efforts and other problems detected. The file naming convention has been applied as an early version within the defined use case to verify the viability of this idea
Ponsoda, Ignacio Llorens
Analysis of the effect of bus stops on the bus speed regarding the usage of public bus fleet as probe vehicles Masters Thesis
INIT, UJI, Castellón, 2020.
Links | BibTeX | Tags: Mastergeotech, urban mobility
@mastersthesis{Ponsoda2020,
title = { Analysis of the effect of bus stops on the bus speed regarding the usage of public bus fleet as probe vehicles },
author = {Ignacio Llorens Ponsoda},
editor = {Joaquín Huerta-Guijarro and Marco Painho and J. de Diego Alarcon
},
url = {http://hdl.handle.net/10362/96488
},
year = {2020},
date = {2020-03-05},
address = {Castellón},
school = {INIT, UJI},
keywords = {Mastergeotech, urban mobility},
pubstate = {published},
tppubtype = {mastersthesis}
}
Lau, Braundt Sin Ki
Human centric routing algorithm for urban cyclists and the influence of street network spatial configuration Masters Thesis
INIT, UJI, Castellón, 2020.
Abstract | Links | BibTeX | Tags: Mastergeotech, routing, urban mobility, wayfinding
@mastersthesis{Lau2020,
title = {Human centric routing algorithm for urban cyclists and the influence of street network spatial configuration},
author = {Braundt Sin Ki Lau},
editor = {Carlos Granell-Canut and Gabriele Filomena and Tiago Oliveira},
url = {http://hdl.handle.net/10362/95144},
year = {2020},
date = {2020-03-03},
address = {Castellón},
school = {INIT, UJI},
abstract = {Understanding wayfinding behavior of cyclist aid decision makers to design better cities in favor of this sustainable active transport. Many have modelled the physical influence of building environment on wayfinding behavior, with cyclist route choices and routing algorithm. Incorporating cognitive wayfinding approach with Space Syntax techniques not only adds the human centric element to model routing algorithm, but also opens the door to evaluate spatial configuration of cities and its effect on cyclist behavior. This thesis combines novel Space Syntax techniques with Graph Theory to develop a reproducible Human Centric Routing Algorithm and evaluates how spatial configuration of cities influences modelled wayfinding behavior. Valencia, a concentric gridded city, and Cardiff with a complex spatial configuration are chosen as the case study areas. Significant differences in routes distribution exist between cities and suggest that spatial configuration of the city has an influence on the modelled routes. Street Network Analysis is used to further quantify such differences and confirms that the simpler spatial configuration of Valencia has a higher connectivity, which could facilitate cyclist wayfinding. There are clear implications on urban design that spatial configuration with higher connectivity indicates legibility, which is key to build resilience and sustainable communities. The methodology demonstrates automatic, scalable and reproducible tools to create Human Centric Routing Algorithm anywhere in the world.},
keywords = {Mastergeotech, routing, urban mobility, wayfinding},
pubstate = {published},
tppubtype = {mastersthesis}
}
Understanding wayfinding behavior of cyclist aid decision makers to design better cities in favor of this sustainable active transport. Many have modelled the physical influence of building environment on wayfinding behavior, with cyclist route choices and routing algorithm. Incorporating cognitive wayfinding approach with Space Syntax techniques not only adds the human centric element to model routing algorithm, but also opens the door to evaluate spatial configuration of cities and its effect on cyclist behavior. This thesis combines novel Space Syntax techniques with Graph Theory to develop a reproducible Human Centric Routing Algorithm and evaluates how spatial configuration of cities influences modelled wayfinding behavior. Valencia, a concentric gridded city, and Cardiff with a complex spatial configuration are chosen as the case study areas. Significant differences in routes distribution exist between cities and suggest that spatial configuration of the city has an influence on the modelled routes. Street Network Analysis is used to further quantify such differences and confirms that the simpler spatial configuration of Valencia has a higher connectivity, which could facilitate cyclist wayfinding. There are clear implications on urban design that spatial configuration with higher connectivity indicates legibility, which is key to build resilience and sustainable communities. The methodology demonstrates automatic, scalable and reproducible tools to create Human Centric Routing Algorithm anywhere in the world.
Gonzalez, Carlos Javier Delgado
Rooftop-Place Suitability Analysis for Urban Air Mobility Hubs: A GIS and Neural Network Approach Masters Thesis
Universidade Nova De Lisboa, Lisboa, 2020.
Abstract | Links | BibTeX | Tags: Geographic Information Systems (GIS), Mastergeotech, neural networks, urban mobility
@mastersthesis{Gonzalez2020,
title = {Rooftop-Place Suitability Analysis for Urban Air Mobility Hubs: A GIS and Neural Network Approach},
author = {Carlos Javier Delgado Gonzalez },
editor = {Joel Dinis Baptista Ferreira da Silva and Roberto Henriques and Carlos Granell-Canut
},
url = {http://hdl.handle.net/10362/93642},
year = {2020},
date = {2020-02-27},
address = {Lisboa},
school = {Universidade Nova De Lisboa},
abstract = {Nowadays, constant overpopulation and urban expansion in cities worldwide have led to several transport-related challenges. Traffic congestion, long commuting, parking difficulties, automobile dependence, high infrastructure maintenance costs, poor public transportation, and loss of public space are some of the problems that afflict major metropolitan areas. Trying to provide a solution for the future inner-city transportation, several companies have worked in recent years to design aircraft prototypes that base their technology on current UAVs. Therefore, vehicles with electrical Vertical Take-Off and Landing (eVTOL) technology are rapidly emerging so that they can be included in the Urban Air Mobility (UAM) system. For this to become a reality, space agencies, governments and academics are generating concepts and recommendations to be considered a safe means of transportation for citizens. However, one of the most relevant points for this future implementation is the suitable location of the potential UAM hubs within the metropolitan areas. Since although UAM vehicles can take advantage of infrastructure such as roofs of buildings to clear and land, several criteria must be considered to find the ideal location. As a solution, this thesis seeks to carry out an integral rooftop-place suitability analysis by involving both the essential variables of the urban ecosystem and the adequate rooftop surfaces for UAM operability. The study area selected for this research is Manhattan (New York, U.S), which is the most densely populated metropolitan area of one of the megacities in the world. The applied methodology has an unsupervised-data-driving and GIS-based approach, which is covered in three sections. The first part is responsible for analyzing the suitability of place when evaluating spatial patterns given by the application of Self-Organizing Maps on the urban ecosystem variables attached to the city census blocks. The second part is based on the development of an algorithm in Python for both the evaluation of the flatness of the roof surfaces and the definition of the UAM platform type suitable for its settlement. The final stage performs a combined analysis of the suitability indexes generated for the development of UAM hubs. Results reflect that 16% of the roofs in the study area have high integral suitability for the development of UAM hubs, where UAVs platforms and Vertistops (small size platforms) are the types that can be the most settled in Manhattan. The reproducibility self-assessment of this research when considering Nüst et al. [45] criteria (https://osf.io/j97zp/) is: 2, 1, 2, 1, 1 (input data, preprocessing, methods, computational environment, results). GitHub repository code is available in https://github.com/carlosjdelgadonovaims/rooftop-place_suitability_analysis_for_Urban_Air_Mobility_hubs},
keywords = {Geographic Information Systems (GIS), Mastergeotech, neural networks, urban mobility},
pubstate = {published},
tppubtype = {mastersthesis}
}
Nowadays, constant overpopulation and urban expansion in cities worldwide have led to several transport-related challenges. Traffic congestion, long commuting, parking difficulties, automobile dependence, high infrastructure maintenance costs, poor public transportation, and loss of public space are some of the problems that afflict major metropolitan areas. Trying to provide a solution for the future inner-city transportation, several companies have worked in recent years to design aircraft prototypes that base their technology on current UAVs. Therefore, vehicles with electrical Vertical Take-Off and Landing (eVTOL) technology are rapidly emerging so that they can be included in the Urban Air Mobility (UAM) system. For this to become a reality, space agencies, governments and academics are generating concepts and recommendations to be considered a safe means of transportation for citizens. However, one of the most relevant points for this future implementation is the suitable location of the potential UAM hubs within the metropolitan areas. Since although UAM vehicles can take advantage of infrastructure such as roofs of buildings to clear and land, several criteria must be considered to find the ideal location. As a solution, this thesis seeks to carry out an integral rooftop-place suitability analysis by involving both the essential variables of the urban ecosystem and the adequate rooftop surfaces for UAM operability. The study area selected for this research is Manhattan (New York, U.S), which is the most densely populated metropolitan area of one of the megacities in the world. The applied methodology has an unsupervised-data-driving and GIS-based approach, which is covered in three sections. The first part is responsible for analyzing the suitability of place when evaluating spatial patterns given by the application of Self-Organizing Maps on the urban ecosystem variables attached to the city census blocks. The second part is based on the development of an algorithm in Python for both the evaluation of the flatness of the roof surfaces and the definition of the UAM platform type suitable for its settlement. The final stage performs a combined analysis of the suitability indexes generated for the development of UAM hubs. Results reflect that 16% of the roofs in the study area have high integral suitability for the development of UAM hubs, where UAVs platforms and Vertistops (small size platforms) are the types that can be the most settled in Manhattan. The reproducibility self-assessment of this research when considering Nüst et al. [45] criteria (https://osf.io/j97zp/) is: 2, 1, 2, 1, 1 (input data, preprocessing, methods, computational environment, results). GitHub repository code is available in https://github.com/carlosjdelgadonovaims/rooftop-place_suitability_analysis_for_Urban_Air_Mobility_hubs
2019
Perotti, Fabián Rodolfo
Spatial analysis of cyclist mobility patterns using geovisualization to improve public bike-share system in a small size city Masters Thesis
INIT, Castellón, 2019.
BibTeX | Tags: Biking, Mastergeotech, urban mobility
@mastersthesis{Perotti2019,
title = {Spatial analysis of cyclist mobility patterns using geovisualization to improve public bike-share system in a small size city},
author = {Fabián Rodolfo Perotti},
editor = {Carlos Granell-Canut and Sven Casteleyn and Marco Painho (supervisors) },
year = {2019},
date = {2019-03-04},
address = {Castellón},
school = {INIT},
keywords = {Biking, Mastergeotech, urban mobility},
pubstate = {published},
tppubtype = {mastersthesis}
}
Gelaye, Tamene Sinishaw
Robustness of road network for assessing the resilience of the network Masters Thesis
Universidade Nova De Lisboa, Lisboa, 2019.
BibTeX | Tags: Mastergeotech, urban mobility
@mastersthesis{Gelaye2019,
title = {Robustness of road network for assessing the resilience of the network},
author = {Tamene Sinishaw Gelaye},
editor = {Judith Verstegen and Sven Castelyn and Roberto Henriques and Andrés Muñoz (supervisors)
},
year = {2019},
date = {2019-02-05},
address = {Lisboa},
school = {Universidade Nova De Lisboa},
keywords = {Mastergeotech, urban mobility},
pubstate = {published},
tppubtype = {mastersthesis}
}
Crespo, Lorena Cristina Abad
Validating a bike network analysis score based on open data as a connectivity measure of urban cycling infrastructure adapted for European Cities Masters Thesis
IFGI, Münster, Germany, 2019.
BibTeX | Tags: Biking, Mastergeotech, urban mobility
@mastersthesis{Crespo2019,
title = {Validating a bike network analysis score based on open data as a connectivity measure of urban cycling infrastructure adapted for European Cities},
author = {Lorena Cristina Abad Crespo},
editor = {Edzer Pebesma and Marco Painho and Francisco-José Ramos Romero (supervisors)},
year = {2019},
date = {2019-02-04},
address = {Münster, Germany},
school = {IFGI},
keywords = {Biking, Mastergeotech, urban mobility},
pubstate = {published},
tppubtype = {mastersthesis}
}
2018
Guzmán, Luis Fernando Santa
A statistical approach for studying urban human dynamics PhD Thesis
Universidade Nova de Lisboa. Information management school, 2018.
BibTeX | Tags: GEO-C, urban mobility
@phdthesis{Guzmán2018,
title = {A statistical approach for studying urban human dynamics },
author = {Luis Fernando Santa Guzmán },
editor = {Roberto Henriques and Joaquín Torres-Sospedra and Edzer Pebesma (supervisor)},
year = {2018},
date = {2018-11-30},
address = {Lisboa},
school = {Universidade Nova de Lisboa. Information management school},
keywords = {GEO-C, urban mobility},
pubstate = {published},
tppubtype = {phdthesis}
}
Pajarito-Grajales, Diego Fabián
Mobile Services for Green Living PhD Thesis
2018.
BibTeX | Tags: GEO-C, Geographic Information Systems (GIS), urban mobility
@phdthesis{Grajales2018b,
title = {Mobile Services for Green Living},
author = {Diego Fabián Pajarito-Grajales},
editor = {Michael Gould and Christian Kray and Tiago André Oliveira (supervisors)},
year = {2018},
date = {2018-11-23},
keywords = {GEO-C, Geographic Information Systems (GIS), urban mobility},
pubstate = {published},
tppubtype = {phdthesis}
}
Pajarito-Grajales, Diego Fabián; Gould, Michael
Mapping frictions inhibiting bicycle commuting Journal Article
In: ISPRS International journal of geo-information, vol. 7, no. 10, pp. 396, 2018, ISSN: 2220-9964, (IF).
Abstract | Links | BibTeX | Tags: GEO-C, Social mapping, urban mobility
@article{Grajales2018,
title = {Mapping frictions inhibiting bicycle commuting},
author = {Diego Fabián Pajarito-Grajales and Michael Gould },
doi = {https://doi.org/10.3390/ijgi7100396},
issn = {2220-9964},
year = {2018},
date = {2018-05-01},
journal = {ISPRS International journal of geo-information},
volume = {7},
number = {10},
pages = {396},
abstract = {Urban cycling is a sustainable transport mode that many cities are promoting. However, few cities are taking advantage of geospatial technologies to represent and analyse cycling mobility based on the behavioural patterns and difficulties faced by cyclists. This study analyses a geospatial dataset crowdsourced by urban cyclists using an experimental, mobile geo-game. Fifty-seven participants recorded bicycle trips during one week periods in three cities. By aggregating them, we extracted not only the cyclists’ preferred streets but also the frictions faced during cycling. We successfully identified 284 places potentially having frictions: 71 in Münster, Germany; 70 in Castelló, Spain; and 143 in Valletta, Malta. At such places, participants recorded bicycle segments at lower speeds indicating a deviation from an ideal cycling scenario. We describe the potential frictions inhibiting bicycle commuting with regard to the distance to bicycle paths, surrounding infrastructure, and location in the urban area.},
note = {IF},
keywords = {GEO-C, Social mapping, urban mobility},
pubstate = {published},
tppubtype = {article}
}
Urban cycling is a sustainable transport mode that many cities are promoting. However, few cities are taking advantage of geospatial technologies to represent and analyse cycling mobility based on the behavioural patterns and difficulties faced by cyclists. This study analyses a geospatial dataset crowdsourced by urban cyclists using an experimental, mobile geo-game. Fifty-seven participants recorded bicycle trips during one week periods in three cities. By aggregating them, we extracted not only the cyclists’ preferred streets but also the frictions faced during cycling. We successfully identified 284 places potentially having frictions: 71 in Münster, Germany; 70 in Castelló, Spain; and 143 in Valletta, Malta. At such places, participants recorded bicycle segments at lower speeds indicating a deviation from an ideal cycling scenario. We describe the potential frictions inhibiting bicycle commuting with regard to the distance to bicycle paths, surrounding infrastructure, and location in the urban area.
2016
de Lima-Galvao, Marcelo
Schematic bus transit maps for the web using genetic algorithms Masters Thesis
Universitat Jaume I, 2016.
Abstract | Links | BibTeX | Tags: Algorithms, Mastergeotech, urban mobility
@mastersthesis{Galvao2016,
title = {Schematic bus transit maps for the web using genetic algorithms},
author = { Marcelo de Lima-Galvao},
editor = {Francisco Ramos-Romero (supervisor) and Angela Schwering (co-supervisor) and Mauro Castelli (co-supervisor)},
url = {http://hdl.handle.net/10234/160765},
year = {2016},
date = {2016-03-07},
school = {Universitat Jaume I},
abstract = {The octilinear schematic map, layout recognized worldwide in metro maps, is an important transit informative tool. This research investigates how algorithms for the visualization of schematic maps can be availed in mobile web devices context in order to empower the efficiency in transmitting information of bus transit maps. A genetic algorithm for path octilinear schematization technique has been used and tested to create the schematic data. Location-based and interactivity functionalities were embedded to the resulting digital maps in order to create personalized maps to meet specific user needs. A prototype of a web application and real transit data of the city of Castellón in Spain was used to test the methodology. The results have shown that real time schematizations open possibilities concerning usability that add extra value to schematic transit maps. Additionally, suggested improvements have been made to the genetic algorithm and performance tests show that genetic algorithms are adequate, in terms of efficiency, to sketch bus transit maps automatically},
keywords = {Algorithms, Mastergeotech, urban mobility},
pubstate = {published},
tppubtype = {mastersthesis}
}
The octilinear schematic map, layout recognized worldwide in metro maps, is an important transit informative tool. This research investigates how algorithms for the visualization of schematic maps can be availed in mobile web devices context in order to empower the efficiency in transmitting information of bus transit maps. A genetic algorithm for path octilinear schematization technique has been used and tested to create the schematic data. Location-based and interactivity functionalities were embedded to the resulting digital maps in order to create personalized maps to meet specific user needs. A prototype of a web application and real transit data of the city of Castellón in Spain was used to test the methodology. The results have shown that real time schematizations open possibilities concerning usability that add extra value to schematic transit maps. Additionally, suggested improvements have been made to the genetic algorithm and performance tests show that genetic algorithms are adequate, in terms of efficiency, to sketch bus transit maps automatically
Pajarito-Grajales, Diego; Gould, Michael; Miralles-Tena, Ignacio; Frías-Garrido, David; Monfort-Muriach, Aida
A biking geo-game to gather commuting data Proceedings Article
In: 3rd AGILE 2016 pre-conference workshop Geogames and geoplay. AGILE 2016, Helsinki, June 14-17., 2016.
Abstract | Links | BibTeX | Tags: Biking, GEO-C, geogames, Smart Cities, urban mobility
@inproceedings{PajaritoGrajales2016,
title = {A biking geo-game to gather commuting data},
author = { Diego Pajarito-Grajales and Michael Gould and Ignacio Miralles-Tena and David Frías-Garrido and Aida Monfort-Muriach},
url = {http://www.geogames-team.org/agile2016/submissions/Pajarito_et_al_Biking.pdf},
year = {2016},
date = {2016-01-01},
booktitle = {3rd AGILE 2016 pre-conference workshop Geogames and geoplay. AGILE 2016, Helsinki, June 14-17.},
abstract = {Urban bicycling is seen as a reliable and environmentally friendly alternative for commuting. Governments are improving biking infrastructure and promoting usage while they highlight its health benefits and zero emission operations. There are interesting questions related to differences between infrastructure planning and citizens' adoption and usage, and the differences between plans and usage analysis making them incomparable because they follow different methodologies or spatial representation is missing. Better data collection and analysis tools are needed to improve comprehension of urban biking, and geospatial technologies and mobile devices would help to identify such differences and would help both city planners and urban bikers to optimize trips. This documents contains a geo-game proposal that uses virtual resources or gems as game instruments to be be relocated. Players join teams and use bikes to “carry” them around the city to win; meanwhile data from mobile devices is collected to understand paths and players' displacements. Generated datasets will be also used to understand bike usage patterns and provide a new platform to engage citizens with data production and validation using gamified tools.},
keywords = {Biking, GEO-C, geogames, Smart Cities, urban mobility},
pubstate = {published},
tppubtype = {inproceedings}
}
Urban bicycling is seen as a reliable and environmentally friendly alternative for commuting. Governments are improving biking infrastructure and promoting usage while they highlight its health benefits and zero emission operations. There are interesting questions related to differences between infrastructure planning and citizens' adoption and usage, and the differences between plans and usage analysis making them incomparable because they follow different methodologies or spatial representation is missing. Better data collection and analysis tools are needed to improve comprehension of urban biking, and geospatial technologies and mobile devices would help to identify such differences and would help both city planners and urban bikers to optimize trips. This documents contains a geo-game proposal that uses virtual resources or gems as game instruments to be be relocated. Players join teams and use bikes to “carry” them around the city to win; meanwhile data from mobile devices is collected to understand paths and players' displacements. Generated datasets will be also used to understand bike usage patterns and provide a new platform to engage citizens with data production and validation using gamified tools.
2015
Broderick, Colin
Identifying the urban communities of New York City using bikeshare data from NYC citibike Masters Thesis
Universitat Jaume I, 2015.
BibTeX | Tags: Biking, urban mobility
@mastersthesis{Broderick2015,
title = {Identifying the urban communities of New York City using bikeshare data from NYC citibike},
author = { Colin Broderick},
editor = {Mark Padgham (supervisor) and Marco Painho (co-supervisor) and Óscar Belmonte-Fernández (co-supervisor)},
year = {2015},
date = {2015-01-30},
school = {Universitat Jaume I},
keywords = {Biking, urban mobility},
pubstate = {published},
tppubtype = {mastersthesis}
}