How to quantify the travel ratio of urban public transport at a high spatial resolution? A novel computational framework with geospatial big data
Improving the travel ratio of public transportation (PTR) is important for realizing low-carbon transportation and sustainable city development. However, limited by data resolution and model accuracy, existing research rarely involves the spatially refined calculation of PTR and the quantitative ana...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-04-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843223000675 |