Home ›
Entities
› academia
› A multi‐modal transportation data‐driven approach to identify urban functional zones: An exploration based on Hangzhou City, China
A multi‐modal transportation data‐driven approach to identify urban functional zones: An exploration based on Hangzhou City, China
Research article (Transactions in GIS, 2019) · cited 47× · AI/ML
A multi‐modal transportation data‐driven approach to identify urban functional zones: An exploration based on Hangzhou City, China
Summary
A multi‐modal transportation data‐driven approach to identify urban functional zones: An exploration based on Hangzhou City, China is a scholarly article[1].
Key Facts
A multi‐modal transportation data‐driven approach to identify urban functional zones: An exploration based on Hangzhou City, China's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A multi‐modal transportation data‐driven approach to identify urban functional zones: An exploration based on Hangzhou City, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-multimodal-transportation-datadriven-approach-to-identify-urban-functional-zones-an-exploration-based-on-hangzhou-city
MLA“A multi‐modal transportation data‐driven approach to identify urban functional zones: An exploration based on Hangzhou City, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-multimodal-transportation-datadriven-approach-to-identify-urban-functional-zones-an-exploration-based-on-hangzhou-city.
BibTeX@misc{4ortxyz_a-multimodal-transportation-datadriven-approach-to-identify-urban-functional-zones-an-exploration-based-on-hangzhou-city_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A multi‐modal transportation data‐driven approach to identify urban functional zones: An exploration based on Hangzhou City, China}}, year = {2026}, url = {https://4ort.xyz/entity/a-multimodal-transportation-datadriven-approach-to-identify-urban-functional-zones-an-exploration-based-on-hangzhou-city}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A multi‐modal transportation data‐driven approach to identify urban functional zones: An exploration based on Hangzhou City, China — https://4ort.xyz/entity/a-multimodal-transportation-datadriven-approach-to-identify-urban-functional-zones-an-exploration-based-on-hangzhou-city (retrieved 2026-05-24)