Ni‐Bin Chang
Biographic Data
| ID | 9478654 |
|---|---|
| NAME | Ni‐Bin Chang |
| GIVEN NAMES | Ni‐Bin |
| FAMILY NAME | Chang |
| SIGNATURE | BIN CHANG N |
| AFFILIATIONS | University of Central Florida |
| ORCID | 0000-0002-7162-7017 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Public perceptions of multiple ecosystem services from urban agriculture
Partnerships and Network Governance for Urban Food-Energy-Water (FEW) Nexus
Few studies have examined the critical role of policy and network governance mechanism in addressing sustainability and FEW nexuses. This study aims to examine the efforts in meeting the UN Sustainable Development Goals (SDGs) at the urban environment. More specifically, the study seeks to examine how growing demands on the food-energy-water (FEW) nexuses can be met through partnerships in dense urban areas as population growth and human migratio…
Multi-agent modeling for linking a green transportation system with an urban agriculture network in a food-energy-water nexus
Building energy retrofit simulation for exploring decarbonization pathways in a community-scale food-energy-water-waste nexus
Linking socioeconomic development, sea level rise, and climate change impacts on urban growth in New York City with a fuzzy cellular automata-based Markov chain model
This study aims to conduct a multi-temporal change analysis of land use and land cover in New York City via a cellular automata-based Markov chain model that uses fuzzy set theory and multi-criteria evaluation to predict the city’s future land use changes for 2030 and 2050 under potential sea level rise and long-term rainfall-runoff flooding impacts driven by climate change. To determine the future natural forcing impacts on land use in New York …
Global policy analysis of low impact development for stormwater management in urban regions
Global policy analysis of low impact development for stormwater management in urban regions
Linking socioeconomic development, sea level rise, and climate change impacts on urban growth in New York City with a fuzzy cellular automata-based Markov chain model
This study aims to conduct a multi-temporal change analysis of land use and land cover in New York City via a cellular automata-based Markov chain model that uses fuzzy set theory and multi-criteria evaluation to predict the city’s future land use changes for 2030 and 2050 under potential sea level rise and long-term rainfall-runoff flooding impacts driven by climate change. To determine the future natural forcing impacts on land use in New York …
Building energy retrofit simulation for exploring decarbonization pathways in a community-scale food-energy-water-waste nexus
Partnerships and Network Governance for Urban Food-Energy-Water (FEW) Nexus
Few studies have examined the critical role of policy and network governance mechanism in addressing sustainability and FEW nexuses. This study aims to examine the efforts in meeting the UN Sustainable Development Goals (SDGs) at the urban environment. More specifically, the study seeks to examine how growing demands on the food-energy-water (FEW) nexuses can be met through partnerships in dense urban areas as population growth and human migratio…
Multi-agent modeling for linking a green transportation system with an urban agriculture network in a food-energy-water nexus
Public perceptions of multiple ecosystem services from urban agriculture
Geography (5 works) · Business (4 works) · Economics (4 works) · Engineering (4 works) · Environmental planning (4 works) · Environmental Science (4 works) · Ecology (3 works) · Economic growth (3 works) · Energy and Environment Impacts (3 works) · Environmental resource management (3 works)