Evaluating the Causal Impacts on Spatial Satisfaction Sentiment of Shenzhen–Hong Kong Regional Integration Policies: An Interrupted Time Series Study Leveraging Large Language Models.


Conference paper


Luyao Niu, Yurun Wang, Shi He, Caching Niu, Wenjia Zhang
EUGEO, Vienna, 2025 Sep 10

Cite

Cite

APA   Click to copy
Niu, L., Wang, Y., He, S., Niu, C., & Zhang, W. (2025). Evaluating the Causal Impacts on Spatial Satisfaction Sentiment of Shenzhen–Hong Kong Regional Integration Policies: An Interrupted Time Series Study Leveraging Large Language Models. In EUGEO. Vienna.


Chicago/Turabian   Click to copy
Niu, Luyao, Yurun Wang, Shi He, Caching Niu, and Wenjia Zhang. “Evaluating the Causal Impacts on Spatial Satisfaction Sentiment of Shenzhen–Hong Kong Regional Integration Policies: An Interrupted Time Series Study Leveraging Large Language Models.” In EUGEO. Vienna, 2025.


MLA   Click to copy
Niu, Luyao, et al. “Evaluating the Causal Impacts on Spatial Satisfaction Sentiment of Shenzhen–Hong Kong Regional Integration Policies: An Interrupted Time Series Study Leveraging Large Language Models.” EUGEO, 2025.


BibTeX   Click to copy

@inproceedings{luyao2025a,
  title = {Evaluating the Causal Impacts on Spatial Satisfaction Sentiment of Shenzhen–Hong Kong Regional Integration Policies: An Interrupted Time Series Study Leveraging Large Language Models.},
  year = {2025},
  month = sep,
  day = {10},
  address = {Vienna},
  journal = {EUGEO},
  author = {Niu, Luyao and Wang, Yurun and He, Shi and Niu, Caching and Zhang, Wenjia},
  month_numeric = {9}
}