Liqiu Meng
Dados Biográficos
| ID | 3584459 |
|---|---|
| NOME | Liqiu Meng |
| PRENOMES | Liqiu |
| SOBRENOME | Meng |
| ASSINATURA | MENG L |
| AFILIAÇÕES | Technical University of Munich |
| ORCID | 0000-0001-8787-3418 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 26 |
| TOTAL DE CITAÇÕES | 32 |
| TOTAL COMO AUTOR | 26 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1994 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 4 |
Explaining the urban mechanisms behind OpenStreetMap updates
OpenStreetMap plays an increasingly important role as a global source of urban spatial data. It exhibits content incompleteness and uneven updating activity, but existing research offers only limited insight into why cities with similar urban characteristics display different updating dynamics. Understanding these processes is essential for interpreting how OpenStreetMap is maintained and for designing strategies to reduce persistent mapping ineq…
Understanding trust in climate change communication
Mapping AI ethics narratives
The ethical issues that arise in the development of AI technologies are closely linked to public engagement. Although Twitter, as an online public sphere, provides a platform for exploring AI ethics discourse, it is difficult for current research to effectively extract fine-grained but meaningful information from the vast amount of social media data. To address this challenge, this paper proposes a research framework for the fine-grained explorat…
MapLayNet
Seeing through walls
An infographic framework of GeoAI ethics based on news data
Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
Understanding the high-order relationship between urban form and function is essential for modeling the underlying mechanisms of sustainable urban systems. Nevertheless, it is challenging to establish an accurate data representation for complex urban forms that are readily explicable in human terms. This study proposed the concept of core urban morphology representation and developed an explainable deep learning framework for explicably symbolizi…
GeoConformal Prediction
Mixed reality-based coordinate system for enhancing survey knowledge acquisition
Geospatial Network Analysis and Origin-Destination Clustering of Bike-Sharing Activities during the Covid-19 Pandemic
Bike-sharing data are an important data source to study urban mobility in the context of the coronavirus disease 2019 (COVID-19). However, studies that focus on different bike-sharing activities including both riding and rebalancing are sparse. This limits the comprehensiveness of the analysis of the impact of the pandemic on bike-sharing. In this study, we combine geospatial network analysis and origin-destination (OD) clustering methods to expl…
Impact of the Covid-19 pandemic on urban human mobility - A multiscale geospatial network analysis using New York bike-sharing data
Wayfinding Behavior and Spatial Knowledge Acquisition
Finding one’s way is a fundamental daily activity and has been widely studied in the field of geospatial cognition. Immersive virtual reality (iVR) techniques provide new approaches for investigating wayfinding behavior and spatial knowledge acquisition. It is currently unclear, however, how wayfinding behavior and spatial knowledge acquisition in iVR differ from those in real-world environments (REs). We conducted an RE wayfinding experiment wit…
A Multi-Scale Virtual Terrain for Hierarchically Structured Non-Location Data
Metaphor are commonly used rhetorical devices in linguistics. Among the various types, spatial metaphors are relatively common because of their intuitive and sensible nature. There are also many studies that use spatial metaphors to express non-location data in the field of visualization. For instance, some virtual terrains can be built based on computer technologies and visualization methods. In virtual terrains, the original abstract data can o…
Population Disaggregation on the Building Level Based on Outdated Census Data
A wide range of disciplines require population data with high spatial resolution. In particular, accessibility instruments for active mobility need data on the building access level. Data availability varies by context. Spatially detailed national census counts often present the challenge that they are outdated. Therefore, this study proposes a novel approach to hybrid population disaggregation. It updates outdated census tracts and disaggregates…
Spatial knowledge acquisition with virtual semantic landmarks in mixed reality-based indoor navigation
Landmarks are essential and widely used in human navigation. However, many indoor environments lack visually salient landmarks, which leads to difficulties in navigating in and learning complex and similar-looking indoor environments. In this study, we designed and implemented virtual semantic landmarks in Mixed Reality (MR)-based indoor environments and conducted a user study to explore whether such landmarks can assist spatial knowledge acquisi…
Exploring the rich-club characteristic in internal migration
A Feasibility Study of Map-Based Dashboard for Spatiotemporal Knowledge Acquisition and Analysis
Map-based dashboards are among the most popular tools that support the viewing and understanding of a large amount of geo-data with complex relations. In spite of many existing design examples, little is known about their impacts on users and whether they match the information demand and expectations of target users. The authors first designed a novel map-based dashboard to support their target users’ spatiotemporal knowledge acquisition and anal…
A Framework Uniting Ontology-Based Geodata Integration and Geovisual Analytics
In a variety of applications relying on geospatial data, getting insights into heterogeneous geodata sources is crucial for decision making, but often challenging. The reason is that it typically requires combining information coming from different sources via data integration techniques, and then making sense out of the combined data via sophisticated analysis methods. To address this challenge we rely on two well-established research areas: dat…
Assessing Similarities and Differences between Males and Females in Visual Behaviors in Spatial Orientation Tasks
Spatial orientation is an important task in human wayfinding. Existing research indicates sex-related similarities and differences in performance and strategies when executing spatial orientation behaviors, but few studies have investigated the similarities and differences in visual behaviors between males and females. To address this research gap, we explored visual behavior similarities and differences between males and females using an eye-tra…
Differences in the Gaze Behaviours of Pedestrians Navigating between Regular and Irregular Road Patterns
While a road pattern influences wayfinding and navigation, its influence on the gaze behaviours of navigating pedestrians is not well documented. In this study, we compared gaze behaviour differences between regular and irregular road patterns using eye-tracking technology. Twenty-one participants performed orientation (ORI) and shortest route selection (SRS) tasks with both road patterns. We used accuracy of answers and response time to estimate…
An Open-Source Framework of Generating Network-Based Transit Catchment Areas by Walking
The transit catchment area is an important concept for public transport planning. This study proposes a methodological framework to generate network-based transit catchment areas by walking. Three components of the framework, namely subgraph construction, extended shortest path tree construction and contour generation are presented step by step. Methods on how to generalize the framework to the cases of the directed road network and non-point fac…
Comparing pedestrians’ gaze behavior in desktop and in real environments
This research is motivated by the widespread use of desktop environments in the lab and by the recent trend of conducting real-world eye-tracking experiments to investigate pedestrian navigation. Despite the existing significant differences between the real world and the desktop environments, how pedestrians’ visual behavior in real environments differs from that in desktop environments is still not well understood. Here, we report a study that r…
The analysis of catchment areas of metro stations using trajectory data generated by dockless shared bikes
Measuring the influence of map label density on perceived complexity
We combine eye tracking and a questionnaire-based approach to explore the influence of label density on the perceived visual complexity of maps. We design two experiments in which participants are asked to search for the names of point features on maps and to rate the map complexity and legibility for different label densities. Specifically, we conduct a highly controlled experiment in which all the map variables except the label density are held…
OpenEventMap
Our lives are affected by myriads of events happening daily all over the world. For efficient planning and management of complex systems composed of various components, understanding relationships between an event and the reactive behaviour of involved components is vital. Analysing these complex relations demands a spatiotemporal event-based model, in which the event plays a central role. In this article we develop a framework which provides the…
Measuring the influence of map label density on perceived complexity
We combine eye tracking and a questionnaire-based approach to explore the influence of label density on the perceived visual complexity of maps. We design two experiments in which participants are asked to search for the names of point features on maps and to rate the map complexity and legibility for different label densities. Specifically, we conduct a highly controlled experiment in which all the map variables except the label density are held…
Impact of the Covid-19 pandemic on urban human mobility - A multiscale geospatial network analysis using New York bike-sharing data
Comparing pedestrians’ gaze behavior in desktop and in real environments
This research is motivated by the widespread use of desktop environments in the lab and by the recent trend of conducting real-world eye-tracking experiments to investigate pedestrian navigation. Despite the existing significant differences between the real world and the desktop environments, how pedestrians’ visual behavior in real environments differs from that in desktop environments is still not well understood. Here, we report a study that r…
Wayfinding Behavior and Spatial Knowledge Acquisition
Finding one’s way is a fundamental daily activity and has been widely studied in the field of geospatial cognition. Immersive virtual reality (iVR) techniques provide new approaches for investigating wayfinding behavior and spatial knowledge acquisition. It is currently unclear, however, how wayfinding behavior and spatial knowledge acquisition in iVR differ from those in real-world environments (REs). We conducted an RE wayfinding experiment wit…
Exploring the rich-club characteristic in internal migration
GeoConformal Prediction
Kartographie
OpenEventMap
Our lives are affected by myriads of events happening daily all over the world. For efficient planning and management of complex systems composed of various components, understanding relationships between an event and the reactive behaviour of involved components is vital. Analysing these complex relations demands a spatiotemporal event-based model, in which the event plays a central role. In this article we develop a framework which provides the…
Measuring the influence of map label density on perceived complexity
We combine eye tracking and a questionnaire-based approach to explore the influence of label density on the perceived visual complexity of maps. We design two experiments in which participants are asked to search for the names of point features on maps and to rate the map complexity and legibility for different label densities. Specifically, we conduct a highly controlled experiment in which all the map variables except the label density are held…
The analysis of catchment areas of metro stations using trajectory data generated by dockless shared bikes
A Feasibility Study of Map-Based Dashboard for Spatiotemporal Knowledge Acquisition and Analysis
Map-based dashboards are among the most popular tools that support the viewing and understanding of a large amount of geo-data with complex relations. In spite of many existing design examples, little is known about their impacts on users and whether they match the information demand and expectations of target users. The authors first designed a novel map-based dashboard to support their target users’ spatiotemporal knowledge acquisition and anal…
A Framework Uniting Ontology-Based Geodata Integration and Geovisual Analytics
In a variety of applications relying on geospatial data, getting insights into heterogeneous geodata sources is crucial for decision making, but often challenging. The reason is that it typically requires combining information coming from different sources via data integration techniques, and then making sense out of the combined data via sophisticated analysis methods. To address this challenge we rely on two well-established research areas: dat…
Assessing Similarities and Differences between Males and Females in Visual Behaviors in Spatial Orientation Tasks
Spatial orientation is an important task in human wayfinding. Existing research indicates sex-related similarities and differences in performance and strategies when executing spatial orientation behaviors, but few studies have investigated the similarities and differences in visual behaviors between males and females. To address this research gap, we explored visual behavior similarities and differences between males and females using an eye-tra…
Differences in the Gaze Behaviours of Pedestrians Navigating between Regular and Irregular Road Patterns
While a road pattern influences wayfinding and navigation, its influence on the gaze behaviours of navigating pedestrians is not well documented. In this study, we compared gaze behaviour differences between regular and irregular road patterns using eye-tracking technology. Twenty-one participants performed orientation (ORI) and shortest route selection (SRS) tasks with both road patterns. We used accuracy of answers and response time to estimate…
An Open-Source Framework of Generating Network-Based Transit Catchment Areas by Walking
The transit catchment area is an important concept for public transport planning. This study proposes a methodological framework to generate network-based transit catchment areas by walking. Three components of the framework, namely subgraph construction, extended shortest path tree construction and contour generation are presented step by step. Methods on how to generalize the framework to the cases of the directed road network and non-point fac…
Comparing pedestrians’ gaze behavior in desktop and in real environments
This research is motivated by the widespread use of desktop environments in the lab and by the recent trend of conducting real-world eye-tracking experiments to investigate pedestrian navigation. Despite the existing significant differences between the real world and the desktop environments, how pedestrians’ visual behavior in real environments differs from that in desktop environments is still not well understood. Here, we report a study that r…
A Multi-Scale Virtual Terrain for Hierarchically Structured Non-Location Data
Metaphor are commonly used rhetorical devices in linguistics. Among the various types, spatial metaphors are relatively common because of their intuitive and sensible nature. There are also many studies that use spatial metaphors to express non-location data in the field of visualization. For instance, some virtual terrains can be built based on computer technologies and visualization methods. In virtual terrains, the original abstract data can o…
Population Disaggregation on the Building Level Based on Outdated Census Data
A wide range of disciplines require population data with high spatial resolution. In particular, accessibility instruments for active mobility need data on the building access level. Data availability varies by context. Spatially detailed national census counts often present the challenge that they are outdated. Therefore, this study proposes a novel approach to hybrid population disaggregation. It updates outdated census tracts and disaggregates…
Spatial knowledge acquisition with virtual semantic landmarks in mixed reality-based indoor navigation
Landmarks are essential and widely used in human navigation. However, many indoor environments lack visually salient landmarks, which leads to difficulties in navigating in and learning complex and similar-looking indoor environments. In this study, we designed and implemented virtual semantic landmarks in Mixed Reality (MR)-based indoor environments and conducted a user study to explore whether such landmarks can assist spatial knowledge acquisi…
Exploring the rich-club characteristic in internal migration
Impact of the Covid-19 pandemic on urban human mobility - A multiscale geospatial network analysis using New York bike-sharing data
Wayfinding Behavior and Spatial Knowledge Acquisition
Finding one’s way is a fundamental daily activity and has been widely studied in the field of geospatial cognition. Immersive virtual reality (iVR) techniques provide new approaches for investigating wayfinding behavior and spatial knowledge acquisition. It is currently unclear, however, how wayfinding behavior and spatial knowledge acquisition in iVR differ from those in real-world environments (REs). We conducted an RE wayfinding experiment wit…
Geospatial Network Analysis and Origin-Destination Clustering of Bike-Sharing Activities during the Covid-19 Pandemic
Bike-sharing data are an important data source to study urban mobility in the context of the coronavirus disease 2019 (COVID-19). However, studies that focus on different bike-sharing activities including both riding and rebalancing are sparse. This limits the comprehensiveness of the analysis of the impact of the pandemic on bike-sharing. In this study, we combine geospatial network analysis and origin-destination (OD) clustering methods to expl…
Mixed reality-based coordinate system for enhancing survey knowledge acquisition
Mapping AI ethics narratives
The ethical issues that arise in the development of AI technologies are closely linked to public engagement. Although Twitter, as an online public sphere, provides a platform for exploring AI ethics discourse, it is difficult for current research to effectively extract fine-grained but meaningful information from the vast amount of social media data. To address this challenge, this paper proposes a research framework for the fine-grained explorat…
MapLayNet
Seeing through walls
An infographic framework of GeoAI ethics based on news data
Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
Understanding the high-order relationship between urban form and function is essential for modeling the underlying mechanisms of sustainable urban systems. Nevertheless, it is challenging to establish an accurate data representation for complex urban forms that are readily explicable in human terms. This study proposed the concept of core urban morphology representation and developed an explainable deep learning framework for explicably symbolizi…
GeoConformal Prediction
Explaining the urban mechanisms behind OpenStreetMap updates
OpenStreetMap plays an increasingly important role as a global source of urban spatial data. It exhibits content incompleteness and uneven updating activity, but existing research offers only limited insight into why cities with similar urban characteristics display different updating dynamics. Understanding these processes is essential for interpreting how OpenStreetMap is maintained and for designing strategies to reduce persistent mapping ineq…
Computer Science (21 obras) · Geography (14 obras) · Artificial Intelligence (13 obras) · Cartography (11 obras) · Geographic Information Systems Studies (10 obras) · Spatial Cognition and Navigation (7 obras) · Data science (6 obras) · Human Mobility and Location-Based Analysis (6 obras) · Human–computer interaction (6 obras) · Psychology (6 obras)