A5033272844- Land Use and Ecosystem Services
- Urban Transport and Accessibility
- Human Mobility and Location-Based Analysis
- Urban Green Space and Health
- Antenna Design and Analysis
- Regional Economics and Spatial Analysis
- Smart Cities and Technologies
- Economic and Environmental Valuation
- Transboundary Water Resource Management
- Environmental Impact and Sustainability
- Water-Energy-Food Nexus Studies
- Spatial and Panel Data Analysis
- Transportation Planning and Optimization
- Energy Harvesting in Wireless Networks
- Microwave Engineering and Waveguides
- Urban Heat Island Mitigation
- demographic modeling and climate adaptation
- Advanced Antenna and Metasurface Technologies
- Urban Planning and Valuation
- Bluetooth and Wireless Communication Technologies
- Disaster Management and Resilience
- Sustainability and Climate Change Governance
- Environmental Conservation and Management
- Urban Design and Spatial Analysis
- Geographic Information Systems Studies
Shanghai Jiao Tong University
2007-2025
Shanghai Electric (China)
2024
Sanya Central Hospital
2024
University of Illinois Urbana-Champaign
2002-2020
Shougang (China)
2019
Shougang Institute of Technology
2019
University of Cambridge
2008
Intel (United States)
2006-2008
Abstract Nature-based solutions (NBS) are essential for carbon-neutral cities, yet how to effectively allocate them remains a question. Carbon neutrality requires city-led climate action plans that incorporate both indirect and direct contributions of NBS. Here we assessed the carbon emissions mitigation potential NBS in European focusing particularly on commonly overlooked pathways, example, human behavioural interventions resource savings. Assuming maximum theoretical implementation,...
The easy availability and widespread use of remotely-sensed imagery, especially Google Earth satellite makes it simple for urban forestry professionals to assess a site measure tree cover density without visiting the site. Remotely-sensed has become dominant criterion regulations in many countries, but is unclear how much such measures match eye-level that people experience; or information gained through visits, photography, from consulting with citizens. To address this uncertainty, we...
Addressing urban challenges with nature-based approaches can improve and protect ecosystem services. Yet, planning has not efficiently integrated such to manage land use. This paper examines interactions between human natural systems that result in services changes use cover areas. It develops a social-ecological model for change, ecosystems integrates solutions planning. The treats spatial variations as both drivers consequences of decision-making choosing commercial residential locations...
Abstract Human-induced urban growth and sprawl have implications for greenhouse gas (GHG) emissions that may not be included in conventional GHG accounting methods. Improved understanding of this issue requires use interactive, spatial-explicit social–ecological systems modeling. This paper develops a comprehensive approach to modeling from developments, considering Stockholm County, Sweden as case study. projections 2040 with system model yield overall greater than simple extrapolations...
Despite strong interest and conflict research spanning multiple disciplines, connections between water flows conflicts remain unclear, due to incomplete datasets on water-related conflict-cooperation events poor understanding of socioeconomic biophysical causes such conflicts. The dataset compiled in this study extends 2019, updating previous that covered only up 2008, yielding important new insights cooperation-conflict trends. Global regional trends were analyzed using the dataset,...
Developing resilience in built human environments is a complex undertaking. It requires decision support tools that can convey complexities meaningful and understandable ways. Building smart cities generating big data, however, not enough. In order to improve decision-making ultimately inform resilient communities we need be able translate data at scales ways are useful approachable. this paper argue creating more calls for planning systems (PSSs) go beyond the ones have today. We call PSSs...
Abstract This paper argues that a systems' thinking and explicit modeling approach is needed to address noted weaknesses (in terms of practicality usefulness) in integrated water resource management. A process coupling complex regional land use, economy, system interactions demonstrated with proof‐of‐concept applications two urban cases (Chicago Stockholm). In this uniquely coupled systems model, use scenarios are considered represented by dynamic models economics, focus on environments...
Land-use planning influences economic performance as it can intervene with location-specific and heterogeneous production externalities. This paper examines the impacts of externalities on local employment growth using a panel model framework block-level land-use data inventory for Chicago. Cross-industry spillovers provide positive growth, but mechanisms behind them differ across sectors spatial scales. Improved understanding heterogeneity in agglomeration economies better support...
We present a comparative socio-ecological modeling approach to identify possible improvement opportunities for Climate Action Plans (CAPs), focusing on two cities, Chicago and Stockholm. The aim is provide tool capturing addressing deep-rooted behavioral institutional preferences that may aggravate greenhouse gas (GHG) emissions in cities. Socio-economic activities, land use change, future urban forms are considered forecast the year 2040 30m × spatial grids. GHG associated with these...
We propose a participatory development process to address critiques of Planning Support Systems (PSS) that focus on their shortcomings the empowerment stakeholders and contextualization in implementation. The we are presenting involves from early stage goal-defining model building. evaluate an empirical application with coupled land-use economic impact assessment PSS for project township its added value two criteria: inclusiveness contextualization. Our findings show enabled improved...