We systematically reviewed the current use of Google Street View (GSV) in health research
and characterized major themes, strengths and weaknesses in order to highlight …

I believe that machine learning (ML) will have a dramatic impact on the field of economics
within a short time frame. Indeed, the impact of ML on economics is already well underway …

Measuring the human sense of place and quantifying the connections among the visual
features of the built environment that impact the human sense of place have long been of …

New,“big data” sources allow measurement of city characteristics and outcome variables at
higher collection frequencies and more granular geographic scales than ever before …

新技术条件下测度街道绿化品质, 实现人眼视角绿化可见度与街道可达性的整合分析.
抓取上海的大规模街景数据, 基于机器学习算法提取绿化可见度, 将其与基于空间网络分析的 …

Information about vehicle safety, such as the driving safety status and the road safety index,
is of great importance to protect humans and support safe driving route planning. Despite …

In this paper, we present novel winning team predicting models and compare the accuracy
of the obtained prediction with TrueSkill model of ranking individual players impact based on …

We present a method for automatic assessment of perceived walkability by pedestrans,
using a machine learning technique with deep convolutional neural networks (CNNs) …

One can infer from the broken window theory that the perception of a city street's safety level
relies significantly on the visual appearance of the street. Previous works have addressed …

While aerial photography is associated with vertical objectivity and spatial abstractions,
street-level imagery appears less political in its orientation to the particularities of place. I …