Dan Qiang | Human Mobility | Best Researcher Award

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Ms. Dan Qiang | Human Mobility | Best Researcher Award

PhD at McGill University, Canada.

Dan Qiang, a PhD candidate at McGill University, Canada, specializes in urban mobility, spatial data science, and GIScience. Holding a Master’s degree from Tongji University, China, and a Bachelor’s degree from Hunan University, China, he has excelled academically with a perfect GPA in his doctoral studies. Dan’s research investigates post-pandemic urban landscapes, Transit-Oriented Development (TOD), and urban space evaluation. He has published in renowned journals and presented at international conferences, showcasing his expertise in analyzing transportation systems and urban dynamics. Beyond academia, Dan has garnered practical experience in real estate consultancy and architectural design. Recognized for his academic achievements, he has received prestigious scholarships and awards. With proficiency in spatial computing, data analysis, and modeling, Dan is poised to continue his impactful contributions to urban studies and transportation planning.

Professional Profiles:

Education:

Dan is currently a PhD Candidate at McGill University, Canada, since September 2022, specializing in Geography. He holds a remarkable GPA of 4.0/4.0. Prior to this, he pursued his Master’s degree in College of Architecture and Urban Planning at Tongji University, China, from September 2019 to June 2022, achieving an impressive GPA of 4.88/5.0. His Bachelor’s degree in Architecture was obtained from the School of Architecture, Hunan University, China, from September 2014 to June 2019, where he consistently ranked among the top 1 among 90 students for four consecutive years.

Research Experience:

Dan’s research interests include Urban mobility, Spatial data science, and GIScience. He has contributed to several journal articles, conference papers, and book chapters, focusing on topics such as post-pandemic urban landscapes, Transit-Oriented Development (TOD), and evaluation models for urban spaces. He has also been actively involved in research projects at Tongji University, China, where he played roles in statistical analyses, data collection, and writing of research outputs.

Working Experiences:

Dan has gained valuable experience through various internships and positions. He has worked as an Intern Space Analyst at The Municipal Planning and Natural Resources Bureau of Yibing City, as an Intern Consultant at Real Estate consultancy in Debenham Tie Leung(DTL) in Chengdu, as an Intern Architect at HUT STUDIO in Shanghai, and in other roles. He has also served as a Teaching Assistant for Architecture Design courses at Tongji University.

Honors and Awards:

Dan has received numerous honors and awards throughout his academic and professional journey, including National Scholarships, Excellent Graduate awards, and Best Poster Award in Transportation Research Board (TRB) 2024, among others. These accolades recognize his outstanding achievements and contributions in various fields.

Technical Skills & Capabilities:

Dan possesses a wide range of technical skills and capabilities, including proficiency in Spatial Computing tools such as ArcGIS and sDNA, Data Analysis with Python and SPSS, Modeling using SketchUp and CAD, Rendering with Ps and Ai, and proficiency in both Chinese and English languages.

Research Interest:

Dan’s research interests lie in the intersection of urban mobility, spatial data science, and GIScience. Specifically, he is intrigued by exploring how cities function in terms of transportation systems, spatial patterns, and urban dynamics. His research focuses on understanding the complexities of urban mobility, analyzing spatial data to uncover patterns and trends, and utilizing Geographic Information Science (GIScience) to inform urban planning and policy-making decisions. Dan is particularly interested in investigating topics such as post-pandemic urban landscapes, Transit-Oriented Development (TOD), and the evaluation of urban spaces to enhance livability and sustainability. Through his research, he aims to contribute valuable insights to the fields of urban studies, transportation planning, and geographic information science.

Publications:
  1. “Quantitative evaluation of TOD performance based on multi-source data: A case study of Shanghai”
    • Authors: D Qiang, L Zhang, X Huang
    • Year: 2022
    • Citations: 18
  2. “Transit-oriented development in new towns: identifying its association with urban function in Shanghai, China”
    • Authors: L Zhang, P Hou, D Qiang
    • Year: 2022
    • Citations: 5
  3. “An attempt at computational urban design–Shanghai Little Lujiazui Public Space Quality Improvement Plan.”
    • Authors: Ye Yu, Qiang Dan, Han Yun
    • Year: 2022
    • Citations: 1
  4. “Three-dimensional pedestrian network optimization in high-density built environments—an attempt at precise urban design based on sDNA.”
    • Authors: Chen Zhimin, Qiang Dan, Ye Yu
    • Year: 2022
    • Citations: 1
  5. “Navigating the post-pandemic urban landscape: Disparities in transportation recovery & regional insights from New York City”
    • Authors: D Qiang, G McKenzie
    • Year: 2024
  6. “Indicators for evaluating urban form maturity based on multi-source data—taking Shanghai’s new and old urban areas as an example.”
    • Authors: Qiang Dan, Li Hengjia, Zhou Zihao, Ye Yu
    • Year: 2023
  7. “Mobility Vitality: Assessing Neighborhood Similarity Through Transportation Patterns In New York City (Short Paper)”
    • Authors: D Qiang, G McKenzie
    • Year: 2023
  8. “Evaluating Shanghai new towns’ maturity of urban form: an exploration index based on new urban data”
    • Authors: D Qiang, Y Liu, L Zhao, Y Zeng, Y Han, K Zhang, H Li, ZH Zhou, Y Ye
    • Year: 2022
  9. “Form Syntax 1.0: An analytical tool assisting urban design via the measuring of urban vitality”
    • Authors: Y Ye, D Qiang, W Zeng