Jizhe Xia
Biographic Data
| ID | 6193537 |
|---|---|
| NAME | Jizhe Xia |
| GIVEN NAMES | Jizhe |
| FAMILY NAME | Xia |
| SIGNATURE | XIA J |
| AFFILIATIONS | Shenzhen University |
| ORCID | 0000-0002-6436-7456 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Consumer spending during Covid-19 in a tourism city
Leveraging large-scale transaction data, this study quantifies the impact of COVID-19 and policy responses on the spending behavior of both residents and domestic inbound travelers in Jeju, Korea. Findings reveal that both local and national COVID-19 situations significantly affected the spending behavior of both groups. Residents were more sensitive to local cases, while travelers were equally affected by local and national cases. Social distanc…
Spatio-temporal heterogeneity in the international trade resilience during Covid-19
Coupling Degree between the Demand and Supply of Bus Services at Stops
The bus stop layout and route deployment may influence the efficiency of bus services. Evaluating the supply of bus service requires the consideration of demand from various urban activities, such as residential and job-related activities. Although various evaluation methods have been explored from different perspectives, it remains a challenging issue. This study proposes a spatial statistical approach by comparing the density of the potential d…
Activity knowledge discovery
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…
Portraying the spatial dynamics of urban vibrancy using multisource urban big data
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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…
Portraying the spatial dynamics of urban vibrancy using multisource urban big data
Coupling Degree between the Demand and Supply of Bus Services at Stops
The bus stop layout and route deployment may influence the efficiency of bus services. Evaluating the supply of bus service requires the consideration of demand from various urban activities, such as residential and job-related activities. Although various evaluation methods have been explored from different perspectives, it remains a challenging issue. This study proposes a spatial statistical approach by comparing the density of the potential d…
Activity knowledge discovery
Spatio-temporal heterogeneity in the international trade resilience during Covid-19
Consumer spending during Covid-19 in a tourism city
Leveraging large-scale transaction data, this study quantifies the impact of COVID-19 and policy responses on the spending behavior of both residents and domestic inbound travelers in Jeju, Korea. Findings reveal that both local and national COVID-19 situations significantly affected the spending behavior of both groups. Residents were more sensitive to local cases, while travelers were equally affected by local and national cases. Social distanc…
Geography (5 works) · Computer Science (4 works) · Business (3 works) · Economics (3 works) · Medicine (3 works) · Urban Transport and Accessibility (3 works) · China (2 works) · Coronavirus disease 2019 (COVID-19) (2 works) · COVID-19 epidemiological studies (2 works) · Data mining (2 works)