Work

Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns

Year: 2019

Type: article

Source: ISPRS Journal of Photogrammetry and Remote Sensing

DOI: 10.1016/j.isprsjprs.2019.04.017

Authors: Fan Zhang, Lun Wu, Di Zhu, Yu Liu

Institutions: Peking University, University College London

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation

Awards: G3123668202, G4863520745, 大数据支持下的空间交互网络理论及分析方法研究

OpenAlex ID: W2944019945

FWCI: 25.82

Cites: 75

Cited by: 186

Related to: 10