Qingquan Li
Dados Biográficos
| ID | 3584340 |
|---|---|
| NOME | Qingquan Li |
| PRENOMES | Qingquan |
| SOBRENOME | Li |
| ASSINATURA | LI Q |
| AFILIAÇÕES | Shenzhen University |
| ORCID | 0000-0002-2438-6046 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 33 |
| TOTAL DE CITAÇÕES | 110 |
| TOTAL COMO AUTOR | 33 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2010 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 7 |
Uncovering regional freight travel patterns from GNSS trajectories
Hillside urbanization induced vertical warming effect
Identification of Senkyunolide I as a novel modulator of hepatic steatosis and PPARα signaling in zebrafish and hamster models
Hotspots of summer heatwaves in East Asia and their associated radiative and dynamical forcing
The recent heatwave events and their repercussions on ecosystems and society underscore the necessity for an in-depth understanding of the mechanism responsible for heatwave formation. Utilizing spectral clustering method to classify the daily heatwave circulation over East Asia (EA) from 1979 to 2022, this study identifies three distinct heatwave hotspots in eastern China (P1; 22%), Mongolia (P2; 47%), and northwestern EA (P3; 31%), each of whic…
Nighttime light imagery or mobile phone footprints
LCZ-based city-wide solar radiation potential analysis by coupling physical modeling, machine learning, and 3D buildings
An adaptive OD flow clustering method to identify heterogeneous urban mobility trends
Quantifying the nighttime economy–housing separation from a human activity standpoint
The Impact of Community Shuttle Services on Traffic and Traffic-Related Air Pollution
Community shuttle services have the potential to alleviate traffic congestion and reduce traffic pollution caused by massive short-distance taxi-hailing trips. However, few studies have evaluated and quantified the impact of community shuttle services on urban traffic and traffic-related air pollution. In this paper, we propose a complete framework to quantitatively assess the positive impacts of community shuttle services, including route design…
Revealing transport inequality from an activity space perspective
Characteristics and trends of hillside urbanization in China from 2007 to 2017
Modeling the Distribution of Human Mobility Metrics with Online Car-Hailing Data—An Empirical Study in Xi’an, China
Modeling the distribution of daily and hourly human mobility metrics is beneficial for studying underlying human travel patterns. In previous studies, some probability distribution functions were employed in order to establish a base for human mobility research. However, the selection of the most suitable distribution is still a challenging task. In this paper, we focus on modeling the distributions of travel distance, travel time, and travel spe…
Resolving urban mobility networks from individual travel graphs using massive-scale mobile phone tracking data
Tourism Geography through the Lens of Time Use
Location-aware technologies and big data are transforming the ways we capture and analyze human activities. This has particularly affected tourism geography, which aims to study tourist activities within the context of space and places. In this study, we argue that the tourism geography of cities can be better understood through the time use of tourists captured by fine-grained human mobility observations. By using a large-scale mobile phone data…
Effects of human mobility restrictions on the spread of Covid-19 in Shenzhen, China
Background Restricting human mobility is an effective strategy used to control disease spread. However, whether mobility restriction is a proportional response to control the ongoing COVID-19 pandemic is unclear. We aimed to develop a model that can quantify the potential effects of various intracity mobility restrictions on the spread of COVID-19. Methods In this modelling study, we used anonymous and aggregated mobile phone sightings data to bu…
Spatiotemporal characteristics of land degradation in the Fuxian Lake Basin, China
Fuxian Lake is one of the most important freshwater supply lakes of China; however, its water quality is affected by land degradation in its basin. This study aimed to monitor and simulate the spatiotemporal characteristics of land degradation in Fuxian Lake Basin. A comprehensive land degradation index (LDI), which integrates the indices for land use/land cover (LULC), vegetation coverage (VC), water loss and soil erosion (WLSE), wind erosion (W…
Portraying the spatial dynamics of urban vibrancy using multisource urban big data
Understanding Ridesourcing Mobility and the Future of Electrification
The development of mobile Internet, smartphones, and location-based services has enabled ridesourcing, which pools vehicles and drivers to provide on-demand travel services. As an alternative transportation option, ridesourcing has significant impacts on urban travel. However, the unique mobility pattern of ridesourcing and its impact on vehicle electrification have not been well studied. To address this gap, this paper presents a comparative, bi…
Understanding urban hospital bypass behaviour based on big trace data
Spatial variations in urban public ridership derived from GPS trajectories and smart card data
Measuring temporal variation of location-based accessibility using space-time utility perspective
Understanding the Impacts of Human Mobility on Accessibility Using Massive Mobile Phone Tracking Data
Many existing accessibility studies ignore human mobility due to the lack of large-scale human mobility data. This study investigates the impacts of human mobility on accessibility using massive mobile phone tracking data collected in Shenzhen, China. In this study, human mobility information is extracted from mobile phone tracking data using a time-geographic approach. The accessibility of each phone user is evaluated using fine spatial resoluti…
Coupling mobile phone and social media data
Understanding urban functions and their relationships with human activities has great implications for smart and sustainable urban development. In this study, we present a novel approach to uncovering urban functions by aggregating human activities inferred from mobile phone positioning and social media data. First, the homes and workplaces (of travelers) are estimated from mobile phone positioning data to annotate the activities conducted at the…
Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy
Although mixed use is an emerging strategy that has been widely accepted in urban planning for promoting neighbourhood vibrancy, there is no consensus on how to quantitatively measure the mix and the effects of mixed use on neighbourhood vibrancy. Shannon entropy, the most commonly used diversity measurement in assessing mixed use, has been found to be inadequate in measuring the multifaceted, multidimensional characteristics of mixed use. And la…
Travel time estimation at intersections based on low-frequency spatial-temporal GPS trajectory big data
Intersections are the critical parts where different traffic flows converge and change directions, forming "bottlenecks" and "clog points" in urban traffic. Intersection travel time is an important parameter for public route planning, traffic management, and engineering optimization. Based on low-frequency spatial-temporal Global Positioning System (GPS) trace data, this article presents a novel method for estimating intersection travel time. The…
Measuring temporal variation of location-based accessibility using space-time utility perspective
Understanding the Impacts of Human Mobility on Accessibility Using Massive Mobile Phone Tracking Data
Many existing accessibility studies ignore human mobility due to the lack of large-scale human mobility data. This study investigates the impacts of human mobility on accessibility using massive mobile phone tracking data collected in Shenzhen, China. In this study, human mobility information is extracted from mobile phone tracking data using a time-geographic approach. The accessibility of each phone user is evaluated using fine spatial resoluti…
Another Tale of Two Cities
Activity space is an important concept in geography. Recent advancements of location-aware technologies have generated many useful spatiotemporal data sets for studying human activity space for large populations. In this article, we use two actively tracked cellphone location data sets that cover a weekday to characterize people's use of space in Shanghai and Shenzhen, China. We introduce three mobility indicators (daily activity range, number of…
Accessibility impacts of China’s high-speed rail network
Tourism Geography through the Lens of Time Use
Location-aware technologies and big data are transforming the ways we capture and analyze human activities. This has particularly affected tourism geography, which aims to study tourist activities within the context of space and places. In this study, we argue that the tourism geography of cities can be better understood through the time use of tourists captured by fine-grained human mobility observations. By using a large-scale mobile phone data…
Spatial variations in urban public ridership derived from GPS trajectories and smart card data
Dynamic accessibility mapping using floating car data
Resolving urban mobility networks from individual travel graphs using massive-scale mobile phone tracking data
Reliable Space–Time Prisms Under Travel Time Uncertainty
Time geography is a powerful framework for analyzing human activities under various space–time constraints. At the core of time geography is the concept of the space–time prism, which delimits an individual's potential activity locations in space and time. The classical space–time prism, however, admits only deterministic travel speeds and ignores the stochastic nature of travel environments. In this article, the classical space–time prism model …
An adaptive OD flow clustering method to identify heterogeneous urban mobility trends
Spatiotemporal analysis of critical transportation links based on time geographic concepts
A multi-objective approach to scheduling joint participation with variable space and time preferences and opportunities
Revealing transport inequality from an activity space perspective
Characteristics and trends of hillside urbanization in China from 2007 to 2017
Hierarchical multi-objective evacuation routing in stadium using ant colony optimization approach
Quantifying the nighttime economy–housing separation from a human activity standpoint
Understanding urban hospital bypass behaviour based on big trace data
Dynamic accessibility mapping using floating car data
A multi-objective approach to scheduling joint participation with variable space and time preferences and opportunities
Hierarchical multi-objective evacuation routing in stadium using ant colony optimization approach
Spatiotemporal analysis of critical transportation links based on time geographic concepts
Accessibility impacts of China’s high-speed rail network
Reliable Space–Time Prisms Under Travel Time Uncertainty
Time geography is a powerful framework for analyzing human activities under various space–time constraints. At the core of time geography is the concept of the space–time prism, which delimits an individual's potential activity locations in space and time. The classical space–time prism, however, admits only deterministic travel speeds and ignores the stochastic nature of travel environments. In this article, the classical space–time prism model …
Understanding aggregate human mobility patterns using passive mobile phone location data
Travel time estimation at intersections based on low-frequency spatial-temporal GPS trajectory big data
Intersections are the critical parts where different traffic flows converge and change directions, forming "bottlenecks" and "clog points" in urban traffic. Intersection travel time is an important parameter for public route planning, traffic management, and engineering optimization. Based on low-frequency spatial-temporal Global Positioning System (GPS) trace data, this article presents a novel method for estimating intersection travel time. The…
Another Tale of Two Cities
Activity space is an important concept in geography. Recent advancements of location-aware technologies have generated many useful spatiotemporal data sets for studying human activity space for large populations. In this article, we use two actively tracked cellphone location data sets that cover a weekday to characterize people's use of space in Shanghai and Shenzhen, China. We introduce three mobility indicators (daily activity range, number of…
Coupling mobile phone and social media data
Understanding urban functions and their relationships with human activities has great implications for smart and sustainable urban development. In this study, we present a novel approach to uncovering urban functions by aggregating human activities inferred from mobile phone positioning and social media data. First, the homes and workplaces (of travelers) are estimated from mobile phone positioning data to annotate the activities conducted at the…
Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy
Although mixed use is an emerging strategy that has been widely accepted in urban planning for promoting neighbourhood vibrancy, there is no consensus on how to quantitatively measure the mix and the effects of mixed use on neighbourhood vibrancy. Shannon entropy, the most commonly used diversity measurement in assessing mixed use, has been found to be inadequate in measuring the multifaceted, multidimensional characteristics of mixed use. And la…
Spatial variations in urban public ridership derived from GPS trajectories and smart card data
Measuring temporal variation of location-based accessibility using space-time utility perspective
Understanding the Impacts of Human Mobility on Accessibility Using Massive Mobile Phone Tracking Data
Many existing accessibility studies ignore human mobility due to the lack of large-scale human mobility data. This study investigates the impacts of human mobility on accessibility using massive mobile phone tracking data collected in Shenzhen, China. In this study, human mobility information is extracted from mobile phone tracking data using a time-geographic approach. The accessibility of each phone user is evaluated using fine spatial resoluti…
Effects of human mobility restrictions on the spread of Covid-19 in Shenzhen, China
Background Restricting human mobility is an effective strategy used to control disease spread. However, whether mobility restriction is a proportional response to control the ongoing COVID-19 pandemic is unclear. We aimed to develop a model that can quantify the potential effects of various intracity mobility restrictions on the spread of COVID-19. Methods In this modelling study, we used anonymous and aggregated mobile phone sightings data to bu…
Spatiotemporal characteristics of land degradation in the Fuxian Lake Basin, China
Fuxian Lake is one of the most important freshwater supply lakes of China; however, its water quality is affected by land degradation in its basin. This study aimed to monitor and simulate the spatiotemporal characteristics of land degradation in Fuxian Lake Basin. A comprehensive land degradation index (LDI), which integrates the indices for land use/land cover (LULC), vegetation coverage (VC), water loss and soil erosion (WLSE), wind erosion (W…
Portraying the spatial dynamics of urban vibrancy using multisource urban big data
Understanding Ridesourcing Mobility and the Future of Electrification
The development of mobile Internet, smartphones, and location-based services has enabled ridesourcing, which pools vehicles and drivers to provide on-demand travel services. As an alternative transportation option, ridesourcing has significant impacts on urban travel. However, the unique mobility pattern of ridesourcing and its impact on vehicle electrification have not been well studied. To address this gap, this paper presents a comparative, bi…
Understanding urban hospital bypass behaviour based on big trace data
Modeling the Distribution of Human Mobility Metrics with Online Car-Hailing Data—An Empirical Study in Xi’an, China
Modeling the distribution of daily and hourly human mobility metrics is beneficial for studying underlying human travel patterns. In previous studies, some probability distribution functions were employed in order to establish a base for human mobility research. However, the selection of the most suitable distribution is still a challenging task. In this paper, we focus on modeling the distributions of travel distance, travel time, and travel spe…
Resolving urban mobility networks from individual travel graphs using massive-scale mobile phone tracking data
Tourism Geography through the Lens of Time Use
Location-aware technologies and big data are transforming the ways we capture and analyze human activities. This has particularly affected tourism geography, which aims to study tourist activities within the context of space and places. In this study, we argue that the tourism geography of cities can be better understood through the time use of tourists captured by fine-grained human mobility observations. By using a large-scale mobile phone data…
The Impact of Community Shuttle Services on Traffic and Traffic-Related Air Pollution
Community shuttle services have the potential to alleviate traffic congestion and reduce traffic pollution caused by massive short-distance taxi-hailing trips. However, few studies have evaluated and quantified the impact of community shuttle services on urban traffic and traffic-related air pollution. In this paper, we propose a complete framework to quantitatively assess the positive impacts of community shuttle services, including route design…
Revealing transport inequality from an activity space perspective
Characteristics and trends of hillside urbanization in China from 2007 to 2017
Geography (23 obras) · Computer Science (22 obras) · Urban Transport and Accessibility (22 obras) · Human Mobility and Location-Based Analysis (17 obras) · Engineering (16 obras) · Transport engineering (11 obras) · Transportation Planning and Optimization (11 obras) · Telecommunications (10 obras) · China (9 obras) · Mobile phone (9 obras)