Martin Raubal
Biographic Data
| ID | 1340282 |
|---|---|
| NAME | Martin Raubal |
| GIVEN NAMES | Martin |
| FAMILY NAME | Raubal |
| SIGNATURE | RAUBAL M |
| AFFILIATIONS | ETH Zurich |
| ORCID | 0000-0001-5951-6835 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 18 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Spatial information visualization on the flight deck: A systematic literature review
Investigating relationships between built environment and urban resilience: A case study of Singapore
The built environment is a critical component in shaping urban areas and their resilience. While existing studies frequently discuss how different built environment elements can enhance a city's capacity to respond quickly and effectively to external shocks, limited research has validated these effects through actual disaster event outcomes. This study aims to empirically investigate the relationship between the built environment and urban resili…
VResin: Externalizing spatial memory into 3D sketch maps
An intuitive way to externalize spatial memory is to sketch it. Compared to traditional paper-based sketches, virtual reality (VR) creates new opportunities to investigate the 3D aspect of spatial memory as it empowers users to express 3D information on a 3D interface directly. The goal of this study is to design a 3D sketch mapping tool for researchers and non-expert users without sketching expertise that enables externalizing memories of spatia…
An ontology-based approach for harmonizing metrics in bike network evaluations
The urgency to decarbonize the transportation sector has accelerated the adoption of micro-mobility solutions, with cycling network development witnessing remarkable growth. Robust and quantitative evaluation frameworks are needed to evaluate the quality of such developments. While a plethora of bike network evaluation approaches exist, their diversity creates issues of interpretability and comparability due to varying metrics and domain-specific…
Leveraging context-adjusted nighttime light data for socioeconomic explanations of global urban resilience
Urban resilience, crucial for achieving sustainable development goals, entails the adaptation and recovery of urban systems from external shocks, such as the recent global pandemic. To investigate the response of urban systems to COVID-19, this study employs context-adjusted nighttime light data to model global urban resilience by combining an evolving urban resilience metric (EURm) with the shape similarity of resilience curves. Random effect an…
Trackintel: An open-source Python library for human mobility analysis
Over the past decade, scientific studies have used the growing availability of large tracking datasets to enhance our understanding of human mobility behavior. However, so far data processing pipelines for the varying data collection methods are not standardized and consequently limit the reproducibility, comparability, and transferability of methods and results in quantitative human mobility analysis. This paper presents Trackintel, an open-sour…
Graph-based mobility profiling
The decarbonization of the transport system requires a better understanding of human mobility behavior to optimally plan and evaluate sustainable transport options (such as Mobility as a Service). Current analysis frameworks often rely on specific datasets or data-specific assumptions and hence are difficult to generalize to other datasets or studies. In this work, we present a workflow to identify groups of users with similar mobility behavior t…
Unobtrusive interaction: A systematic literature review and expert survey
Unobtrusiveness has been highlighted as an important design principle in Human-Computer Interaction (HCI). However, the understanding of unobtrusiveness in the literature varies. Researchers often claim unobtrusiveness for their interaction method based on their understanding of what unobtrusiveness means. This lack of a shared definition hinders effective communication in research and impedes comparability between approaches. In this article, we…
Spatially-aware station based car-sharing demand prediction
In recent years, car-sharing services have emerged as viable alternatives to private individual mobility, promising more sustainable and resource-efficient, but still comfortable transportation. Research on short-term prediction and optimization methods has improved operations and fleet control of car-sharing services; however, long-term projections and spatial analysis are sparse in the literature. We propose to analyze the average monthly deman…
Evaluating geospatial context information for travel mode detection
Detecting travel modes from global navigation satellite system (GNSS) trajectories is essential for understanding individual travel behavior and a prerequisite for achieving sustainable transport systems. While studies have acknowledged the benefits of incorporating geospatial context information into travel mode detection models, few have summarized context modeling approaches and analyzed the significance of these context features, hindering th…
Determining transmission line path alternatives using a valley-finding algorithm
Since new (Power) Transmission Lines (TLs) can have a long-term effect on the makeup of a landscape and on the human living space, it should be expected that the route of any new TL will be based on objective criteria that take into account the views of the public. Geographic Information Science (GIScience) provides powerful tools that assist in the determination of feasible locations for new TLs based on objective criteria and georeferenced data…
Evaluation of pedestrian navigation in Smart Cities
This work addresses recent research in the area of pedestrian navigation aids that aims at finding alternatives to the widely used map-based turn-by-turn navigation systems in the context of Smart City environments. Four different approaches of pedestrian navigation systems were compared to each other in a user experiment that was conducted in a virtual environment: (1) map-based, (2) landmark-based, (3) augmented reality, and (4) public display …
Measuring the Geometric and Semantic Similarity of Space-Time Prisms Using Temporal Signatures
Well-established techniques exist for measuring the similarity of space–time paths. These measures support clustering and aggregation of space–time paths as well as moving objects database queries based on similar movement patterns or semantics. Little attention has been paid, however, to the analogous problem of measuring space–time prism (STP) similarity, despite comparable applications. This article presents and evaluates a method for measurin…
Cognitive Geoengineering
Engineering useful and useable geographic information services requires the consideration of human spatial cognition principles during the design process. Such services, which support people in their spatiotemporal decision‐making, facilitate user interaction and provide more adequate answers to user queries when people's cognitive representations and processing of spatial and temporal aspects of phenomena are accounted for. This is the main tene…
Exploring Georeferenced Mobile Phone Datasets - A Survey and Reference Framework
Nowadays, mobile phones and other information and communication technology (ICT) devices collect large numbers of measurements about their users. This review paper provides an overview of georeferenced mobile phone datasets by exploring and summarizing the metadata of multiple datasets based on a literature review. It also presents an abstract model to depict the connections of these datasets, serving as the basis for potential spatio-temporal da…
Cognitive Engineering for Geographic Information Science
Geographic information science provides the foundation for the development of geospatial tools and services that support people in their spatio-temporal decision-making. In order to offer useful and useable solutions, principles of human spatial cognition regarding the representation and processing of spatial and temporal aspects of phenomena must be considered in the design of these tools. Suchcognitively engineeredgeospatial services aim for co…
User‐centred time geography for location‐based services
Location‐based services assist people in their decision‐making during the performance of tasks in space. They do not consider the user's individual preferences, time constraints and possible subtasks to be performed. In order to account for these important aspects, a user‐centred spatio‐temporal theory of location‐based services is required. We propose such a theory by combining classical time geography with an extended theory of affordances. It …
User‐centred time geography for location‐based services
Location‐based services assist people in their decision‐making during the performance of tasks in space. They do not consider the user's individual preferences, time constraints and possible subtasks to be performed. In order to account for these important aspects, a user‐centred spatio‐temporal theory of location‐based services is required. We propose such a theory by combining classical time geography with an extended theory of affordances. It …
Spatially-aware station based car-sharing demand prediction
In recent years, car-sharing services have emerged as viable alternatives to private individual mobility, promising more sustainable and resource-efficient, but still comfortable transportation. Research on short-term prediction and optimization methods has improved operations and fleet control of car-sharing services; however, long-term projections and spatial analysis are sparse in the literature. We propose to analyze the average monthly deman…
Measuring the Geometric and Semantic Similarity of Space-Time Prisms Using Temporal Signatures
Well-established techniques exist for measuring the similarity of space–time paths. These measures support clustering and aggregation of space–time paths as well as moving objects database queries based on similar movement patterns or semantics. Little attention has been paid, however, to the analogous problem of measuring space–time prism (STP) similarity, despite comparable applications. This article presents and evaluates a method for measurin…
Exploring Georeferenced Mobile Phone Datasets - A Survey and Reference Framework
Nowadays, mobile phones and other information and communication technology (ICT) devices collect large numbers of measurements about their users. This review paper provides an overview of georeferenced mobile phone datasets by exploring and summarizing the metadata of multiple datasets based on a literature review. It also presents an abstract model to depict the connections of these datasets, serving as the basis for potential spatio-temporal da…
User‐centred time geography for location‐based services
Location‐based services assist people in their decision‐making during the performance of tasks in space. They do not consider the user's individual preferences, time constraints and possible subtasks to be performed. In order to account for these important aspects, a user‐centred spatio‐temporal theory of location‐based services is required. We propose such a theory by combining classical time geography with an extended theory of affordances. It …
Cognitive Engineering for Geographic Information Science
Geographic information science provides the foundation for the development of geospatial tools and services that support people in their spatio-temporal decision-making. In order to offer useful and useable solutions, principles of human spatial cognition regarding the representation and processing of spatial and temporal aspects of phenomena must be considered in the design of these tools. Suchcognitively engineeredgeospatial services aim for co…
Cognitive Geoengineering
Engineering useful and useable geographic information services requires the consideration of human spatial cognition principles during the design process. Such services, which support people in their spatiotemporal decision‐making, facilitate user interaction and provide more adequate answers to user queries when people's cognitive representations and processing of spatial and temporal aspects of phenomena are accounted for. This is the main tene…
Exploring Georeferenced Mobile Phone Datasets - A Survey and Reference Framework
Nowadays, mobile phones and other information and communication technology (ICT) devices collect large numbers of measurements about their users. This review paper provides an overview of georeferenced mobile phone datasets by exploring and summarizing the metadata of multiple datasets based on a literature review. It also presents an abstract model to depict the connections of these datasets, serving as the basis for potential spatio-temporal da…
Measuring the Geometric and Semantic Similarity of Space-Time Prisms Using Temporal Signatures
Well-established techniques exist for measuring the similarity of space–time paths. These measures support clustering and aggregation of space–time paths as well as moving objects database queries based on similar movement patterns or semantics. Little attention has been paid, however, to the analogous problem of measuring space–time prism (STP) similarity, despite comparable applications. This article presents and evaluates a method for measurin…
Determining transmission line path alternatives using a valley-finding algorithm
Since new (Power) Transmission Lines (TLs) can have a long-term effect on the makeup of a landscape and on the human living space, it should be expected that the route of any new TL will be based on objective criteria that take into account the views of the public. Geographic Information Science (GIScience) provides powerful tools that assist in the determination of feasible locations for new TLs based on objective criteria and georeferenced data…
Evaluation of pedestrian navigation in Smart Cities
This work addresses recent research in the area of pedestrian navigation aids that aims at finding alternatives to the widely used map-based turn-by-turn navigation systems in the context of Smart City environments. Four different approaches of pedestrian navigation systems were compared to each other in a user experiment that was conducted in a virtual environment: (1) map-based, (2) landmark-based, (3) augmented reality, and (4) public display …
Trackintel: An open-source Python library for human mobility analysis
Over the past decade, scientific studies have used the growing availability of large tracking datasets to enhance our understanding of human mobility behavior. However, so far data processing pipelines for the varying data collection methods are not standardized and consequently limit the reproducibility, comparability, and transferability of methods and results in quantitative human mobility analysis. This paper presents Trackintel, an open-sour…
Graph-based mobility profiling
The decarbonization of the transport system requires a better understanding of human mobility behavior to optimally plan and evaluate sustainable transport options (such as Mobility as a Service). Current analysis frameworks often rely on specific datasets or data-specific assumptions and hence are difficult to generalize to other datasets or studies. In this work, we present a workflow to identify groups of users with similar mobility behavior t…
Unobtrusive interaction: A systematic literature review and expert survey
Unobtrusiveness has been highlighted as an important design principle in Human-Computer Interaction (HCI). However, the understanding of unobtrusiveness in the literature varies. Researchers often claim unobtrusiveness for their interaction method based on their understanding of what unobtrusiveness means. This lack of a shared definition hinders effective communication in research and impedes comparability between approaches. In this article, we…
Spatially-aware station based car-sharing demand prediction
In recent years, car-sharing services have emerged as viable alternatives to private individual mobility, promising more sustainable and resource-efficient, but still comfortable transportation. Research on short-term prediction and optimization methods has improved operations and fleet control of car-sharing services; however, long-term projections and spatial analysis are sparse in the literature. We propose to analyze the average monthly deman…
Evaluating geospatial context information for travel mode detection
Detecting travel modes from global navigation satellite system (GNSS) trajectories is essential for understanding individual travel behavior and a prerequisite for achieving sustainable transport systems. While studies have acknowledged the benefits of incorporating geospatial context information into travel mode detection models, few have summarized context modeling approaches and analyzed the significance of these context features, hindering th…
VResin: Externalizing spatial memory into 3D sketch maps
An intuitive way to externalize spatial memory is to sketch it. Compared to traditional paper-based sketches, virtual reality (VR) creates new opportunities to investigate the 3D aspect of spatial memory as it empowers users to express 3D information on a 3D interface directly. The goal of this study is to design a 3D sketch mapping tool for researchers and non-expert users without sketching expertise that enables externalizing memories of spatia…
An ontology-based approach for harmonizing metrics in bike network evaluations
The urgency to decarbonize the transportation sector has accelerated the adoption of micro-mobility solutions, with cycling network development witnessing remarkable growth. Robust and quantitative evaluation frameworks are needed to evaluate the quality of such developments. While a plethora of bike network evaluation approaches exist, their diversity creates issues of interpretability and comparability due to varying metrics and domain-specific…
Leveraging context-adjusted nighttime light data for socioeconomic explanations of global urban resilience
Urban resilience, crucial for achieving sustainable development goals, entails the adaptation and recovery of urban systems from external shocks, such as the recent global pandemic. To investigate the response of urban systems to COVID-19, this study employs context-adjusted nighttime light data to model global urban resilience by combining an evolving urban resilience metric (EURm) with the shape similarity of resilience curves. Random effect an…
Spatial information visualization on the flight deck: A systematic literature review
Investigating relationships between built environment and urban resilience: A case study of Singapore
The built environment is a critical component in shaping urban areas and their resilience. While existing studies frequently discuss how different built environment elements can enhance a city's capacity to respond quickly and effectively to external shocks, limited research has validated these effects through actual disaster event outcomes. This study aims to empirically investigate the relationship between the built environment and urban resili…
Computer Science (14 works) · Data science (8 works) · Geography (8 works) · Human Mobility and Location-Based Analysis (7 works) · Data mining (6 works) · Engineering (6 works) · Artificial Intelligence (5 works) · Geographic Information Systems Studies (5 works) · Human–computer interaction (5 works) · Urban Transport and Accessibility (5 works)