Modeling Population Mobility Flows: A Hybrid Approach Integrating a Gravity Model and Machine Learning

Jingjing Liu, Lei Xu, Le Ma, Nengcheng Chen

Open source

DOI
10.3390/ijgi13110379
Published
2024-10-30
Container
ISPRS International Journal of Geo-Information
Publisher
MDPI AG
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/ijgi13110379,
  title = {Modeling Population Mobility Flows: A Hybrid Approach Integrating a Gravity Model and Machine Learning},
  author = {Jingjing Liu and Lei Xu and Le Ma and Nengcheng Chen},
  year = {2024},
  journal = {ISPRS International Journal of Geo-Information},
  doi = {10.3390/ijgi13110379},
  url = {https://doi.org/10.3390/ijgi13110379}
}

RIS

TY  - JOUR
TI  - Modeling Population Mobility Flows: A Hybrid Approach Integrating a Gravity Model and Machine Learning
AU  - Jingjing Liu
AU  - Lei Xu
AU  - Le Ma
AU  - Nengcheng Chen
PY  - 2024
JO  - ISPRS International Journal of Geo-Information
DO  - 10.3390/ijgi13110379
UR  - https://doi.org/10.3390/ijgi13110379
ER  - 

APA

Liu, J., Xu, L., Ma, L., & Chen, N. (2024). Modeling Population Mobility Flows: A Hybrid Approach Integrating a Gravity Model and Machine Learning. ISPRS International Journal of Geo-Information. https://doi.org/10.3390/ijgi13110379

Source records