Jiawei Yi
Biographic Data
| ID | 4417010 |
|---|---|
| NAME | Jiawei Yi |
| GIVEN NAMES | Jiawei |
| FAMILY NAME | Yi |
| SIGNATURE | YI J |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0003-0325-7146 |
| VERIFIED | Yes |
| TOTAL WORKS | 18 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 18 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Beyond static census
Accurate population exposure assessment is critical for urban flood disaster management, yet traditional approaches rely on static census data that fail to capture dynamic activity patterns. Using hourly mobile phone signaling data from four rainstorm events in Suqian, China, in 2023, we develop an analysis framework integrating baseline estimation, anomaly pattern recognition, and severity-graded dynamic exposure assessment. Hourly analysis reve…
Rainfall reshapes intra-urban activity patterns
Research on the urban public perception of different rainfall types in China
Identifying publicly perceived high temperature thresholds across Chinese cities using geotagged social media data
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…
Unravelling urban dynamics
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
Measuring community resilience inequality to inland flooding using location aware big data
Nighttime light satellite images reveal uneven socioeconomic development along China's land border
Protected areas effectively resisted 33.8% of urban development pressures in China during 2000–2018
Disentangling relations between dynamic urban structure and its efficiency in 287 cities across China
Stress of spatial orientation of floating populations into Tibet on fragile ecosystem—Using geo‐tagged big data
Increased global floating populations is an important driver of local social‐ecological systems change, especially in ecologically fragile areas. However, the limitations of accurate data and specific methods have prevented the exploration of spatial visitation of floating populations and its risk of negative effects on fragile ecosystems. Here, we contribute to filling the knowledge gap in Tibet by adopting large‐scale geolocation data and incor…
Regional geographical and climatic environments affect urban rainstorm perception sensitivity across China
Quantify city-level dynamic functions across China using social media and POIs 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…
Mining Evolution Patterns from Complex Trajectory Structures—A Case Study of Mesoscale Eddies in the South China Sea
Real-word phenomena, such as ocean eddies and clouds, tend to split and merge while they are moving around within a space. Their trajectories usually bear one or more branches and are accordingly defined as complex trajectories in this study. The trajectories may show significant spatiotemporal variations in terms of their structures and some of them may be more prominent than the others. The identification of prominent structures in the complex …
Uncovering patterns of ties among regions within metropolitan areas using data from mobile phones and online mass media
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…
Uncovering patterns of ties among regions within metropolitan areas using data from mobile phones and online mass media
Unravelling urban dynamics
Uncovering patterns of ties among regions within metropolitan areas using data from mobile phones and online mass media
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…
Mining Evolution Patterns from Complex Trajectory Structures—A Case Study of Mesoscale Eddies in the South China Sea
Real-word phenomena, such as ocean eddies and clouds, tend to split and merge while they are moving around within a space. Their trajectories usually bear one or more branches and are accordingly defined as complex trajectories in this study. The trajectories may show significant spatiotemporal variations in terms of their structures and some of them may be more prominent than the others. The identification of prominent structures in the complex …
Quantify city-level dynamic functions across China using social media and POIs data
Regional geographical and climatic environments affect urban rainstorm perception sensitivity across China
Nighttime light satellite images reveal uneven socioeconomic development along China's land border
Protected areas effectively resisted 33.8% of urban development pressures in China during 2000–2018
Disentangling relations between dynamic urban structure and its efficiency in 287 cities across China
Stress of spatial orientation of floating populations into Tibet on fragile ecosystem—Using geo‐tagged big data
Increased global floating populations is an important driver of local social‐ecological systems change, especially in ecologically fragile areas. However, the limitations of accurate data and specific methods have prevented the exploration of spatial visitation of floating populations and its risk of negative effects on fragile ecosystems. Here, we contribute to filling the knowledge gap in Tibet by adopting large‐scale geolocation data and incor…
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
Measuring community resilience inequality to inland flooding using location aware big data
Research on the urban public perception of different rainfall types in China
Identifying publicly perceived high temperature thresholds across Chinese cities using geotagged social media data
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…
Unravelling urban dynamics
Beyond static census
Accurate population exposure assessment is critical for urban flood disaster management, yet traditional approaches rely on static census data that fail to capture dynamic activity patterns. Using hourly mobile phone signaling data from four rainstorm events in Suqian, China, in 2023, we develop an analysis framework integrating baseline estimation, anomaly pattern recognition, and severity-graded dynamic exposure assessment. Hourly analysis reve…
Rainfall reshapes intra-urban activity patterns
Geography (16 works) · Computer Science (11 works) · China (10 works) · Human Mobility and Location-Based Analysis (9 works) · Cartography (7 works) · Land Use and Ecosystem Services (7 works) · Urban Transport and Accessibility (6 works) · Social media (5 works) · Data mining (4 works) · Data science (4 works)