Shurui Yan
Biographic Data
| ID | 9445007 |
|---|---|
| NAME | Shurui Yan |
| GIVEN NAMES | Shurui |
| FAMILY NAME | Yan |
| SIGNATURE | YAN S |
| AFFILIATIONS | Tsinghua University |
| ORCID | 0000-0002-9099-3127 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
The effects of street environment features on road running
Urban streets provide environment for road running. The study proposes a non-parametric approach that uses machine learning models to predict road running intensity. The models were developed using route check-in data from Keep, a mobile exercise application, and street geographic information data in Beijing’s core district. The results show that blue space and trail continuity are the most important factors in improving road running intensity. T…
Popularity influence mechanism of creative industry parks
A Systematic Review of Objective Factors Influencing Behavior in Public Open Spaces
As a significant part of outdoor built-environment, public open spaces are closely associated with people's daily lives. Studies of outdoor behavior in these spaces can shed light on users' environmental perceptions and contribute to the promotion of physiological and psychological health. Many recent studies are case studies focused where observations, surveys and interviews have been conducted to understand the factors influencing people's beha…
No prominent works on this page.
A Systematic Review of Objective Factors Influencing Behavior in Public Open Spaces
As a significant part of outdoor built-environment, public open spaces are closely associated with people's daily lives. Studies of outdoor behavior in these spaces can shed light on users' environmental perceptions and contribute to the promotion of physiological and psychological health. Many recent studies are case studies focused where observations, surveys and interviews have been conducted to understand the factors influencing people's beha…
Popularity influence mechanism of creative industry parks
The effects of street environment features on road running
Urban streets provide environment for road running. The study proposes a non-parametric approach that uses machine learning models to predict road running intensity. The models were developed using route check-in data from Keep, a mobile exercise application, and street geographic information data in Beijing’s core district. The results show that blue space and trail continuity are the most important factors in improving road running intensity. T…
Beijing (2 works) · Computer Science (2 works) · Geography (2 works) · Advertising (1 work) · Artificial Intelligence (1 work) · Business (1 work) · China (1 work) · Cultural Heritage Management and Preservation (1 work) · Cultural Industries and Urban Development (1 work) · Engineering (1 work)