Penghua Liu

TL;DR: An innovative framework that detects urban land use distributions at the scale of traffic analysis zones (TAZs) by integrating Baidu POIs and a Word2Vec model is established and can be used to help urban planners to monitor dynamic urban landUse and evaluate the impact of urban planning schemes.

TL;DR: Findings provide support that street view green and blue spaces are protective against depression for the elderly in China, yet longitudinal confirmation to infer causality is necessary.

TL;DR: A novel fully convolutional network (FCN), in which a spatial residual inception (SRI) module is proposed to capture and aggregate multi-scale contexts for semantic understanding by successively fusing multi-level features, shows promising potential for building detection from remote sensing images on a large scale.

TL;DR: A human-machine adversarial scoring framework using a methodology that incorporates deep learning and iterative feedback with recommendation scores is described, which allows for the rapid and cost-effective assessment of the local urban perceptions for Chinese cities.

TL;DR: Wang et al. as discussed by the authors used a population sample of 1029 adult residents of the metropolis of Guangzhou, China, from 2016 to examine how streetscape and remote sensing-based greenery affect people's mental wellbeing; whether and, if so, to what extent the associations are mediated by physical activity, stress, air quality and noise, and social cohesion.