9月18日晚20:00-21:30工程管理公益讲坛（四十五）面向韧性、公平与可持续发展的城市管理将于以下平台同步直播。
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工程院院刊《工程管理前沿（英文）》和华中科技大学管理学院将于9月18日晚20:00-21:30在腾讯会议（ID：692 365 908，密码：0918），举办工程管理公益讲坛（四十五）——面向韧性、公平与可持续发展的城市管理。
本期讲坛由中国科学院城市环境研究所陈伟强研究员主持，特别邀请厦门大学城市规系许旺土教授和中南大学商学院任晓航副教授做主题报告。
工程院院刊《工程管理前沿（英文）》
华中科技大学管理学院
2024年9月14日
会议议程
会议时间：9月18日晚20:00-21:30（北京时间）
腾讯会议ID：692 365 908，密码：0918
主持人：陈伟强，中国科学院城市环境研究所
· 20:00-20:30
Urban Activity Space: Recognition, Formation and Detection with Multiple Source Big-data
· 20:30-21:00
· 21:00-21:30
Q&A
嘉宾简介
Earlier activity space studies explored the associations between people and place. They suggested that factors including gender, socioeconomic status and race have great impacts on activity spaces. Many researchers had paid more attention to the measurement of the size, geometry so as to describe human mobility patterns.
Recently, advances in geospatial technologies enable us to obtain large volumes of georeferenced data about human beings from various mobile terminals and Global Positioning System. Those data provide abundant temporal and spatial information to model the movements of people which can facilitate activity space studies.
This study takes Xiamen and Wuhan as case studies, and uses multi-source travel data from these two cities, including taxi and bus card swiping data, urban rail transit card swiping data, and pedestrian grid data, to construct urban vitality spaces. By mapping multi-source big data onto a complex network and using the structural feature theory of the network, the distribution and movement characteristics of different dynamic spaces (living circles) are monitored and used to evaluate the advantages of relevant urban planning schemes.
Future research will use tools such as graph neural networks to deeply model and analyze network analysis methods and spatial interaction information, and deepen the impact of research results.
Xiaohang Ren is an associate professor in the School of Business, Central South University. His research interests include green finance, energy finance, financial econometrics and environmental economics. He has published more than 100 papers in journals such as Journal of the American Statistical Association, Transportation Research Part A, Energy Economics, Quantitative Finance, Review of Quantitative Finance and Accounting, Journal of Environmental Management, Renewable & Sustainable Energy Review, Applied Energy, etc. He is the Elsevier Highly Cited Chinese Researcher, and serves as associate editor/editor board/guest editor for several SCI/SSCI journals.
Resource-based cities are currently facing challenges due to ecological pollution and an unbalanced industrial structure, which hinders sustainable economic growth. The focus on green development as a strategy for economic growth and environmental protection is becoming increasingly popular. This study employs a spatial econometric model to explore the effect of green development on economic resilience in Chinese resource-based cities from 2011 to 2019, revealing a positive correlation between green development and economic resilience. For each 1 unit increase in green development, economic resilience increases by an average of 0.512 units. Furthermore, the analysis of heterogeneity reveals differences in the factors influencing various resource-based cities. In addition, provincial green policies bolster economic resilience by encouraging green development. This research aids in comprehending the balance between the economy and the environment.
主持人简介
背景介绍
Frontiers of Engineering Management
工程管理公益讲坛
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