Applicant

Project name

Team Member

Affiliation of applicant

Research Direction 1: Planning for sustainable post-pandemic cities in the era of digital urban transformation.

Qi Meng

Research on Urban Noise Map Based on Multi-source Planning Data

Da Yang Mengmeng Li，

Wei Yan，Jiaxun Song

Harbin Institute of Technology

Siqi Tu

Young Professional-Led Community Building and Urban Regeneration in the Post-pandemic City

TingTing Lu

NYU Shanghai

Research Direction 2: Planning for the growth of climate responsive low-carbon cities in the context of GHG mitigation.

Xingang Zhou

Land Use Multi-scenario Simulation for Low-carbon Development and Climate Action Planning

Cancheng Zeng

Tongji University

Jiaying Li

Research on the Correlation Between Urban Spatial Form and Urban Ventilation Performance

Jieqiong Wang，Geng Hu，Mingjie Zhang，Hainan Yan，Yuan Zhou

Nanjing University

Meiqing Li

Comparative Study on Integrated Active Transportation Planning in the US and Asia

Daniel A.Rodriguez, Hao Sheng,

YiChen An

UC Berkeley

Tao Tao

Heterogeneous Nonlinear Effects of Built Environment Attributes on Travel-related Carbon-dioxide Emissions in Different Income-level Areas

HaoTian Zhong

University of Minnesota

Research Direction 3: Planning for environmentally sensitive urban green infrastructure using social sensing technique (mobile phone, etc).

Longfeng Wu

How can Green Space Promote Mental Health in a PostCOVID19 Era in Shanghai?

LingJia Zhong, XuanYi Nie

Peking University

Yuting Yin

Research on the Healing Effect of Urban Small Green Spaces Through Intelligent Synergy and Quality Improvement--Taking Shanghai Pocket Park as an Example

Han Jiang，Xi Lu，Dongbo Ma，Xian Lu，Yu Meng

Tongji University

TongPing Hao

Heat and Park Visits: Evidence from Social Media, Mobile Phone, and Field Experiment in Shanghai

JianXiang Huang, JiaWei Yao

University of Hong Kong

XiYuan Ren

A Multi-dimensional Classification of Urban Park System in the Digital Age: A Methodology and Case Study

-

NYU

Si Chen

Using Geolocated Social Media Data to Understand Human Activities, Popularity, and Functionality for Green Spaces with Machine Learning Approaches

HaoTian Zhong

Texas A&M University

Jihoon Song

A Review of Urban Park Visitation Research through Social Sensing Technique

-

Korea University