Xiaokang Fu
Biographic Data
| ID | 6310797 |
|---|---|
| NAME | Xiaokang Fu |
| GIVEN NAMES | Xiaokang |
| FAMILY NAME | Fu |
| SIGNATURE | FU X |
| AFFILIATIONS | Harvard University |
| ORCID | 0000-0002-3396-6720 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A multi-scenario suitability framework for relocation planning
Advancing replicable and reproducible GIScience
Understanding the purchase intention in live streaming from the perspective of social image
E-commerce live streaming (hereafter, “ELS”) has introduced novel avenues for E-commerce. Driven by commercial goals, ELS streamers work to craft, sustain, and enhance their social images to attract popularity, acceptance, trust, and other beneficial outcomes. This article investigates how various characteristics of a streamer’s social image influence purchase intentions within ELS, using a conceptual model comprising fourteen hypotheses based on…
Revealing the spatial co-occurrence patterns of multi-emotions from social media data
Assessing Reliability of Chinese Geotagged Social Media Data for Spatiotemporal Representation of Human Mobility
Understanding the space-time dynamics of human activities is essential in studying human security issues such as climate change impacts, pandemic spreading, or urban sustainability. Geotagged social media posts provide an open and space-time continuous data source with user locations which is convenient for studying human movement. However, the reliability of Chinese geotagged social media data for representing human mobility remains unclear. Thi…
A realistic and multilevel measurement of citywide spatial patterns of economic segregation based on human activities
Research on the realistic and comprehensive identification of citywide spatial patterns of economic segregation is valuable for the sustainable development of cities. The consideration of human activities in segregation research inspires us to develop an alternative method to contribute to this type of research. In our method, we emphasize the combination of collective activity spaces (CASs) and spatial economic data, both of which are obtained f…
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A realistic and multilevel measurement of citywide spatial patterns of economic segregation based on human activities
Research on the realistic and comprehensive identification of citywide spatial patterns of economic segregation is valuable for the sustainable development of cities. The consideration of human activities in segregation research inspires us to develop an alternative method to contribute to this type of research. In our method, we emphasize the combination of collective activity spaces (CASs) and spatial economic data, both of which are obtained f…
Assessing Reliability of Chinese Geotagged Social Media Data for Spatiotemporal Representation of Human Mobility
Understanding the space-time dynamics of human activities is essential in studying human security issues such as climate change impacts, pandemic spreading, or urban sustainability. Geotagged social media posts provide an open and space-time continuous data source with user locations which is convenient for studying human movement. However, the reliability of Chinese geotagged social media data for representing human mobility remains unclear. Thi…
Revealing the spatial co-occurrence patterns of multi-emotions from social media data
Understanding the purchase intention in live streaming from the perspective of social image
E-commerce live streaming (hereafter, “ELS”) has introduced novel avenues for E-commerce. Driven by commercial goals, ELS streamers work to craft, sustain, and enhance their social images to attract popularity, acceptance, trust, and other beneficial outcomes. This article investigates how various characteristics of a streamer’s social image influence purchase intentions within ELS, using a conceptual model comprising fourteen hypotheses based on…
Advancing replicable and reproducible GIScience
A multi-scenario suitability framework for relocation planning
Computer Science (4 works) · Artificial Intelligence (2 works) · Consumer Retail Behavior Studies (2 works) · Data mining (2 works) · Data science (2 works) · Geography (2 works) · Human Mobility and Location-Based Analysis (2 works) · Psychology (2 works) · Social Psychology (2 works) · Urban Transport and Accessibility (2 works)