@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}