Bu Zhao
Biographic Data
| ID | 3722892 |
|---|---|
| NAME | Bu Zhao |
| GIVEN NAMES | Bu |
| FAMILY NAME | Zhao |
| SIGNATURE | ZHAO B |
| AFFILIATIONS | Cornell University |
| ORCID | 0000-0001-5310-4020 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 25 |
| AUTHOR COUNT | 20 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Unveiling the spatial-temporal virtual water use of China's rural residents through trade network
Understanding the global interdependencies of SDGs via causal network analysis
Global drivers of transport carbon footprint in a changing economy
Urban environmental efficiency and optimization pathways in Chinese enterprises
Monitoring global sustainable development goals using representative indicators
Mapping the Spatiotemporal Evolution of Virtual Water Flows in Global Maize Cultivation
Water scarcity is among the most urgent global challenges, with agriculture responsible for nearly 70% of freshwater withdrawals. Accurate accounting of water use across sectors is essential for effective policy design, yet conventional assessments often capture only direct irrigation while overlooking indirect water embedded in supply chains. To address the limitation, this study focuses on maize—a globally significant staple crop—and employs a …
The impact of digital technology and technological innovation on environmental attitudes——insights from a cross-country survey
The evolving landscape of digital technologies and technological innovations is reshaping our relationship with the environment. While empirical studies at the micro level have extensively examined the separate impacts of these advancements on environmental attitudes, a significant gap persists in understanding their collective influence at the macro level. To address this gap, our study investigates the impact of digital technology and technolog…
A data‐centric investigation on the challenges of machine learning methods for bridging life cycle inventory data gaps
Life cycle assessment (LCA) is a systematic approach to quantify the environmental impacts of a product system from its entire life cycle. Despite its wide use in assessing mature technologies, the inventory data gap has been a fundamental challenge that limits the application of LCA to emerging new processes. Machine learning (ML) methods are among the possible solutions that can mitigate these data gaps in an automated and scalable way. Nonethe…
Low‐Carbon Hospitality Development
Greenhouse gas emissions, especially carbon dioxide, are the primary drivers of modern climate change. The hospitality industry, with its significant carbon footprint, is expected to continue contributing substantially to global emissions. While direct carbon emissions from hospitality have been extensively studied, the sector's indirect emissions through international trade networks remain underexplored. This research addresses this gap by asses…
Sustainable water use in tourism
Analyzing the potential local and distant economic loss of global construction sector due to water scarcity
Machine learning-enhanced assessment of urban sustainable development goals progress
Assessing urban water-energy nexus characteristics in China and the US
The Water-Energy Nexus (WEN) provides a comprehensive concept for the cooperative management of resources. Although the WEN system in cities is intricately connected to socioeconomic activities, relationship between WEN and economic systems remains understudied. This study introduces a tri-dimensional Nexus Pressure Index (NPI) to assess the pressure on WEN system. Gross Domestic Product (GDP) per capita and city tiers in the urban agglomeration …
Decoupling agricultural resource inputs from agricultural economic development in China
Linking local and global
As water scarcity escalates globally, there is a growing focus on assessing its economic impact, both locally and through trade networks, defined as water scarcity risk (WSR). Given China's pivotal role as a top importer and exporter, coupled with significant spatial disparities in water scarcity across its provinces, understanding the spread of water scarcity risks within China and their interplay with global water dynamics is imperative yet rel…
Mapping water scarcity risk in China with the consideration of spatially heterogeneous environmental flow requirement
Estimating the dynamic environmental footprints of the global finance and business sector towards sustainable development goals
The global finance and business is a trillion‐dollar sector whose final demand drives a significant amount of economic production and services in other sectors through trade systems. As economic production and services have a significant impact on the environment, they play a fundamental role in supporting the global sustainable development goals (SDGs). Despite this, little attention has been paid to environmental impact driven by the final dema…
Imputing environmental impact missing data of the industrial sector for Chinese cities
High-Resolution Urban Air Quality Mapping for Multiple Pollutants Based on Dense Monitoring Data and Machine Learning
Spatially explicit urban air quality information is important for urban fine-management and public life. However, existing air quality measurement methods still have some limitations on spatial coverage and system stability. A micro station is an emerging monitoring system with multiple sensors, which can be deployed to provide dense air quality monitoring data. Here, we proposed a method for urban air quality mapping at high-resolution for multi…
Principal indicators to monitor sustainable development goals
Hundreds of indicators are available to monitor progress of countries and regions towards the Sustainable Development Goals (SDGs). However, the sheer number of indicators poses unprecedented challenges for data collection and compilation. Here we identify a subset of SDG indicators (principal indicators) that are relatively easy to collect data for and also are representative for all the indicators by considering the complex interrelationship am…
Mapping water scarcity risk in China with the consideration of spatially heterogeneous environmental flow requirement
Imputing environmental impact missing data of the industrial sector for Chinese cities
Estimating the dynamic environmental footprints of the global finance and business sector towards sustainable development goals
The global finance and business is a trillion‐dollar sector whose final demand drives a significant amount of economic production and services in other sectors through trade systems. As economic production and services have a significant impact on the environment, they play a fundamental role in supporting the global sustainable development goals (SDGs). Despite this, little attention has been paid to environmental impact driven by the final dema…
Low‐Carbon Hospitality Development
Greenhouse gas emissions, especially carbon dioxide, are the primary drivers of modern climate change. The hospitality industry, with its significant carbon footprint, is expected to continue contributing substantially to global emissions. While direct carbon emissions from hospitality have been extensively studied, the sector's indirect emissions through international trade networks remain underexplored. This research addresses this gap by asses…
Machine learning-enhanced assessment of urban sustainable development goals progress
Linking local and global
As water scarcity escalates globally, there is a growing focus on assessing its economic impact, both locally and through trade networks, defined as water scarcity risk (WSR). Given China's pivotal role as a top importer and exporter, coupled with significant spatial disparities in water scarcity across its provinces, understanding the spread of water scarcity risks within China and their interplay with global water dynamics is imperative yet rel…
Sustainable water use in tourism
Analyzing the potential local and distant economic loss of global construction sector due to water scarcity
Principal indicators to monitor sustainable development goals
Hundreds of indicators are available to monitor progress of countries and regions towards the Sustainable Development Goals (SDGs). However, the sheer number of indicators poses unprecedented challenges for data collection and compilation. Here we identify a subset of SDG indicators (principal indicators) that are relatively easy to collect data for and also are representative for all the indicators by considering the complex interrelationship am…
High-Resolution Urban Air Quality Mapping for Multiple Pollutants Based on Dense Monitoring Data and Machine Learning
Spatially explicit urban air quality information is important for urban fine-management and public life. However, existing air quality measurement methods still have some limitations on spatial coverage and system stability. A micro station is an emerging monitoring system with multiple sensors, which can be deployed to provide dense air quality monitoring data. Here, we proposed a method for urban air quality mapping at high-resolution for multi…
Estimating the dynamic environmental footprints of the global finance and business sector towards sustainable development goals
The global finance and business is a trillion‐dollar sector whose final demand drives a significant amount of economic production and services in other sectors through trade systems. As economic production and services have a significant impact on the environment, they play a fundamental role in supporting the global sustainable development goals (SDGs). Despite this, little attention has been paid to environmental impact driven by the final dema…
Imputing environmental impact missing data of the industrial sector for Chinese cities
Assessing urban water-energy nexus characteristics in China and the US
The Water-Energy Nexus (WEN) provides a comprehensive concept for the cooperative management of resources. Although the WEN system in cities is intricately connected to socioeconomic activities, relationship between WEN and economic systems remains understudied. This study introduces a tri-dimensional Nexus Pressure Index (NPI) to assess the pressure on WEN system. Gross Domestic Product (GDP) per capita and city tiers in the urban agglomeration …
Decoupling agricultural resource inputs from agricultural economic development in China
Linking local and global
As water scarcity escalates globally, there is a growing focus on assessing its economic impact, both locally and through trade networks, defined as water scarcity risk (WSR). Given China's pivotal role as a top importer and exporter, coupled with significant spatial disparities in water scarcity across its provinces, understanding the spread of water scarcity risks within China and their interplay with global water dynamics is imperative yet rel…
Mapping water scarcity risk in China with the consideration of spatially heterogeneous environmental flow requirement
The impact of digital technology and technological innovation on environmental attitudes——insights from a cross-country survey
The evolving landscape of digital technologies and technological innovations is reshaping our relationship with the environment. While empirical studies at the micro level have extensively examined the separate impacts of these advancements on environmental attitudes, a significant gap persists in understanding their collective influence at the macro level. To address this gap, our study investigates the impact of digital technology and technolog…
A data‐centric investigation on the challenges of machine learning methods for bridging life cycle inventory data gaps
Life cycle assessment (LCA) is a systematic approach to quantify the environmental impacts of a product system from its entire life cycle. Despite its wide use in assessing mature technologies, the inventory data gap has been a fundamental challenge that limits the application of LCA to emerging new processes. Machine learning (ML) methods are among the possible solutions that can mitigate these data gaps in an automated and scalable way. Nonethe…
Low‐Carbon Hospitality Development
Greenhouse gas emissions, especially carbon dioxide, are the primary drivers of modern climate change. The hospitality industry, with its significant carbon footprint, is expected to continue contributing substantially to global emissions. While direct carbon emissions from hospitality have been extensively studied, the sector's indirect emissions through international trade networks remain underexplored. This research addresses this gap by asses…
Sustainable water use in tourism
Analyzing the potential local and distant economic loss of global construction sector due to water scarcity
Machine learning-enhanced assessment of urban sustainable development goals progress
Unveiling the spatial-temporal virtual water use of China's rural residents through trade network
Understanding the global interdependencies of SDGs via causal network analysis
Global drivers of transport carbon footprint in a changing economy
Urban environmental efficiency and optimization pathways in Chinese enterprises
Monitoring global sustainable development goals using representative indicators
Mapping the Spatiotemporal Evolution of Virtual Water Flows in Global Maize Cultivation
Water scarcity is among the most urgent global challenges, with agriculture responsible for nearly 70% of freshwater withdrawals. Accurate accounting of water use across sectors is essential for effective policy design, yet conventional assessments often capture only direct irrigation while overlooking indirect water embedded in supply chains. To address the limitation, this study focuses on maize—a globally significant staple crop—and employs a …
Economics (11 works) · Environmental Impact and Sustainability (10 works) · Business (9 works) · Environmental Science (9 works) · Sustainable development (8 works) · Geography (7 works) · Natural resource economics (7 works) · China (6 works) · Computer Science (6 works) · Sustainability (6 works)