Tao Pei
Biographic Data
| ID | 4023494 |
|---|---|
| NAME | Tao Pei |
| GIVEN NAMES | Tao |
| FAMILY NAME | Pei |
| SIGNATURE | PEI T |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0002-0780-0057 |
| VERIFIED | Yes |
| TOTAL WORKS | 47 |
| TOTAL CITATIONS | 56 |
| WORKS AS AUTHOR | 47 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 4 |
Exploring spatio-temporal behavior patterns of Chinese urban overtime workers using mobile signaling data
Flow-based fractal dimensions of urban road networks
Association between chronic gastrointestinal diseases and frailty
Chronic gastrointestinal diseases (CGIDs) significantly affect global health, impairing both physical and mental well-being in the aging population. However, the relationship between CGIDs and the incidence of frailty and loneliness has not been fully explored. This study utilized data from the China Health and Retirement Longitudinal Study (CHARLS) collected from 2011 to 2015, including 13,139 middle-aged and older participants (aged 45 years an…
Low perception of climate change by farmers and herders on Tibetan Plateau
Only 26 % of Tibetan farmers perceive significant warming in their region. • Rate of temperature change significantly influences climate change perception. • Income predicts climate awareness among Tibetan farmers and herders. Vulnerable groups living in climate-sensitive areas are facing unprecedented risks. Their perception of the changing climate and its impacts has potentially significant influence over the choices they make in response. Howe…
Green space exposure inequality between diverse age and gender groups in rapid urbanization area
Quantifying Urban Linguistic Diversity Related to Rainfall and Flood across China with Social Media Data
Understanding the public’s diverse linguistic expressions about rainfall and flood provides a basis for flood disaster studies and enhances linguistic and cultural awareness. However, existing research tends to overlook linguistic complexity, potentially leading to bias. In this study, we introduce a novel algorithm capturing rainfall and flood-related expressions, considering the relationship between precipitation observations and linguistics ex…
Evaluating resilience of urban lifelines against flooding in China using social media data
Revealing the heterogeneity of periodic visiting patterns across different ages and spaces using a flexible detection method
Visualizing road connectivity under traffic influence
The connectivity of roads under the influence of traffic is determined by the topological connections established by the road network and the transport connections formed by moving vehicles between two roads simultaneously. A thorough examination of this connectivity is crucial for comprehending traffic patterns and providing guidance to address transportation issues such as traffic congestion. However, existing methods ignore the intuitive repre…
An adaptive OD flow clustering method to identify heterogeneous urban mobility trends
Spatiotemporal infection dynamics
Measuring community resilience inequality to inland flooding using location aware big data
Travel flow patterns of diverse population groups and influencing built environment factors
Tourism value assessment of linear cultural heritage
Linear cultural heritage (LCH) is a precious treasure of human beings, but its spatial distribution and development modes in the context of tourism value are not clear. This study constructs the resource (R) –natural environment (N) –industrial economy (I) evaluation system through the Delphi method, analytical hierarchy process and entropy method to examine tourism value from the perspective of the whole heritage. This system is verified to the …
A new flow-based centrality method for identifying statistically significant centers
Quantifying the centrality of places and identifying centers constitute the basis for assessing the urban spatial structure, which is essential for sustainable spatial planning. Both the existence and intensity of linkages contribute to the centrality of places. However, few centrality measures consider both aspects simultaneously. Additionally, the identification of centers often relies on specified minimum thresholds, which is subjective and ar…
Quantifying human mobility resilience to the Covid-19 pandemic
Perception in cultural heritage tourism
Based on two on-site questionnaire surveys in the Beijing-Hangzhou Grand Canal, this study identifies the constructs of tourists’ perception by exploratory factor analysis, and proposes a relationship model. Then the complex relationships are explored by structural equation modelling. The results suggest heritage attraction and cultural experience positively affect tourists’ attitude towards heritage protection, while cultural experience, service…
Analysis of structural evolution and its influencing factors of the high-speed railway network in China's three urban agglomerations
Identification of spatial and functional interactions in Beijing based on trajectory data
Regional geographical and climatic environments affect urban rainstorm perception sensitivity across China
Topological relationship model for geographical flows
Geographical flows depict the movement of geographical objects from origin to destination. They can be applied to represent activities such as commuting, commodity trade, information exchange, and migration. The topological relationship model of geographical flows can provide information on the interactions between objects by describing whether two flows are disjoint or coincide partially or completely. For example, it can be applied to determine…
Revealing spatiotemporal matching patterns between traffic flux and road resources using big geodata - A case study of Beijing
Accessing public transportation service coverage by walking accessibility to public transportation under flow buffering
Analysis of changes in population's cross-city travel patterns in the pre- and post-pandemic era
A New Approach to Measuring the Similarity of Indoor Semantic Trajectories
People spend more than 80% of their time in indoor spaces, such as shopping malls and office buildings. Indoor trajectories collected by indoor positioning devices, such as WiFi and Bluetooth devices, can reflect human movement behaviors in indoor spaces. Insightful indoor movement patterns can be discovered from indoor trajectories using various clustering methods. These methods are based on a measure that reflects the degree of similarity betwe…
Spread of Covid-19 in China
Revealing spatiotemporal matching patterns between traffic flux and road resources using big geodata - A case study of Beijing
Sensing multiple semantics of urban space from crowdsourcing positioning data
An adaptive OD flow clustering method to identify heterogeneous urban mobility trends
Travel flow patterns of diverse population groups and influencing built environment factors
Analysis of changes in population's cross-city travel patterns in the pre- and post-pandemic era
Fractal dimension of job-housing flows
Perception in cultural heritage tourism
Based on two on-site questionnaire surveys in the Beijing-Hangzhou Grand Canal, this study identifies the constructs of tourists’ perception by exploratory factor analysis, and proposes a relationship model. Then the complex relationships are explored by structural equation modelling. The results suggest heritage attraction and cultural experience positively affect tourists’ attitude towards heritage protection, while cultural experience, service…
Discovering the joint influence of urban facilities on crime occurrence using spatial co-location pattern mining
Low perception of climate change by farmers and herders on Tibetan Plateau
Only 26 % of Tibetan farmers perceive significant warming in their region. • Rate of temperature change significantly influences climate change perception. • Income predicts climate awareness among Tibetan farmers and herders. Vulnerable groups living in climate-sensitive areas are facing unprecedented risks. Their perception of the changing climate and its impacts has potentially significant influence over the choices they make in response. Howe…
Analysis of structural evolution and its influencing factors of the high-speed railway network in China's three urban agglomerations
Accessing public transportation service coverage by walking accessibility to public transportation under flow buffering
Roles of locational factors in the rise and fall of restaurants
Knowledge Discovery from Area–Class Resource Maps
This paper presents a knowledge discovery approach to extracting knowledge from area–class resource maps. Prototype theory forms the basis of the approach which consists of two major components: (1) a scheme for organizing knowledge used in categorizing geographic entities which allows for the modeling of indeterminate boundaries and non–uniform memberships within categories; and (2) a data mining method using the Expectation Maximization (EM) al…
Knowledge Discovery from Area–Class Resource Maps
This paper presents a knowledge discovery approach to extracting knowledge from area–class resource maps. Prototype theory forms the basis of the approach which consists of two major components: (1) a scheme for organizing knowledge used in categorizing geographic entities which allows for the modeling of indeterminate boundaries and non–uniform memberships within categories; and (2) a data mining method using the Expectation Maximization (EM) al…
Population level determinants of acute mountain sickness among young men
Before a group of young men first enter a high altitude area, it is important that a health service plan should be made referring to the group's travel profile and with respect to young men's ethnicity and province of birth. Low-cost Chinese traditional prophylactic drugs might have some effect on decreasing the risk of AMS, although this needs further verification
Burden of disease resulting from chronic mountain sickness among young Chinese male immigrants in Tibet
The results show that CMS imposes a considerable burden on Chinese immigrants to Tibet. Immigrants with characteristics such as a higher residential altitude, more advanced age, longer highland service years, being a smoker, and working in engineering or construction were more likely to develop CMS and to increase the disease burden. Higher blood pressure and heart rate as a result of CMS were also positively associated with the disease burden. T…
A new insight into land use classification based on aggregated mobile phone data
Land-use classification is essential for urban planning. Urban land-use types can be differentiated either by their physical characteristics (such as reflectivity and texture) or social functions. Remote sensing techniques have been recognized as a vital method for urban land-use classification because of their ability to capture the physical characteristics of land use. Although significant progress has been achieved in remote sensing methods de…
Analysis of the Characteristics and Evolution Modes of PM2.5 Pollution Episodes in Beijing, China During 2013
Fine particulate matter (PM2.5) has been recognized as a serious hazard linked to deleterious health effects. In this study, all PM2.5 Pollution Episodes (PPEs) in Beijing during 2013 were investigated with hourly PM2.5 observations from the Olympic Sport Center site, and then their characteristics and evolution modes analysed. Results show that 80 PPEs, covering 209 days, occurred in Beijing during 2013. Average PM2.5 concentrations during PPEs …
Accessibility to urban parks for elderly residents
Effects of web-based metacognitive listening on Chinese university EFL learners' listening comprehension and metacognitive awareness
The present study examined the effects of web-based metacognitive listening practice on L2 learners’ listening comprehension over 14 weeks. Participants (N = 67) came from two intact classes of intermediate EFL university learners in China. The experimental group was involved in the web-based metacognitive listening practice built on the metacognitive listening principles. The control group undertook a traditional web-based listening practice wit…
Sensing multiple semantics of urban space from crowdsourcing positioning data
Covid-19
The outbreak of the 2019 novel coronavirus disease (COVID-19) has caused more than 100,000 people infected and thousands of deaths. Currently, the number of infections and deaths is still increasing rapidly. COVID-19 seriously threatens human health, production, life, social functioning and international relations. In the fight against COVID-19, Geographic Information Systems (GIS) and big data technologies have played an important role in many a…
What Influences Customer Flows in Shopping Malls
Offline stores are seriously challenged by online shops. To attract more customers to compete with online shops, the patterns of customer flows and their influence factors are important knowledge. To address this issue, we collected indoor positioning data of 534,641 and 59,160 customers in two shopping malls (i.e., Dayuecheng (DYC) in Beijing and Longhu (LH) in Chongqing, China) for one week, respectively. The temporal patterns of the customer f…
An enhanced model for evacuation vulnerability assessment in urban areas
Inferring gender and age of customers in shopping malls via indoor positioning data
Customer profiles that include gender and age information are important to businesses and can be used to promote sales and provide personalized services. This information is gathered in e-commerce by analyzing customer visit records in virtual web space. However, such practice is difficult in brick-and-mortar businesses because the data that can be utilized to infer customer profiles are limited in physical spaces. In this paper, we attempt to in…
Discovering the joint influence of urban facilities on crime occurrence using spatial co-location pattern mining
A New Approach to Measuring the Similarity of Indoor Semantic Trajectories
People spend more than 80% of their time in indoor spaces, such as shopping malls and office buildings. Indoor trajectories collected by indoor positioning devices, such as WiFi and Bluetooth devices, can reflect human movement behaviors in indoor spaces. Insightful indoor movement patterns can be discovered from indoor trajectories using various clustering methods. These methods are based on a measure that reflects the degree of similarity betwe…
Influential Factor Detection for Tourism on the Qinghai-Tibet Plateau Based on Social Media Data
Tourism is playing an important role in the economic development of the Qinghai-Tibet Plateau (QTP). To better develop tourism in this region, the spatial heterogeneity of influencing factors on tourism needs to be studied. Using the spatial distribution of tourism potential from social media data, this paper analyzes the influencing factors of tourism on the QTP from the perspective of spatial heterogeneity. We extract microblogs related to trav…
The Regional and Local Scale Evolution of the Spatial Structure of High-Speed Railway Networks—A Case Study Focused on Beijing-Tianjin-Hebei Urban Agglomeration
China has entered an era of rapid high-speed railway (HSR) development and the spatial structure of urban agglomerations will evolve in parallel with the development and evolution of the spatial structure of the HSR network. In this study, we explore how the spatial structure of an HSR network evolves at regional and local scales. Existing research into HSR network structures has mostly been carried out at a regional scale, and has therefore fail…
Clustering Indoor Positioning Data Using E-DBSCAN
Indoor positioning data reflects human mobility in indoor spaces. Revealing patterns of indoor trajectories may help us understand human indoor mobility. Clustering methods, which are based on the measurement of similarity between trajectories, are important tools for identifying those patterns. However, due to the specific characteristics of indoor trajectory data, it is difficult for clustering methods to measure the similarity between trajecto…
I-index for quantifying an urban location's irreplaceability
Quantify city-level dynamic functions across China using social media and POIs data
How did human dwelling and working intensity change over different stages of Covid-19 in Beijing
Fractal dimension of job-housing flows
Spread of Covid-19 in China
Roles of locational factors in the rise and fall of restaurants
Identification of spatial and functional interactions in Beijing based on trajectory data
Regional geographical and climatic environments affect urban rainstorm perception sensitivity across China
Geography (37 works) · Computer Science (27 works) · Human Mobility and Location-Based Analysis (27 works) · China (21 works) · Beijing (19 works) · Urban Transport and Accessibility (13 works) · Business (12 works) · Cartography (11 works) · Data mining (11 works) · Engineering (10 works)