Junwei Ma
Biographic Data
| ID | 6390376 |
|---|---|
| NAME | Junwei Ma |
| GIVEN NAMES | Junwei |
| FAMILY NAME | Ma |
| SIGNATURE | MA J |
| AFFILIATIONS | Texas A&M University |
| ORCID | 0000-0001-5931-634X |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 14 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Characterizing Community Formation in Response to Extreme Weather Events Through Human Mobility Networks
Community formation in socio-spatial human networks is an important mechanism through which populations cope with and mitigate the impacts of extreme weather hazards. However, limited research has examined the latent network characteristics that shape community formation in human mobility networks during natural hazard-related disasters. In this study, we analyzed human mobility networks in Harris County, Texas, during the managed power outages a…
Quantifying the social costs of power outages and restoration disparities across four U.S. hurricanes
The multifaceted nature of disaster impact reveals that areas with concentrated populations may contribute more to overall economic burden, while sparsely populated but highly impacted regions suffer disproportionately at the individual level. This study presents a framework that quantifies the societal costs of power outages by converting customer-weighted outage exposure into monetized social losses. This framework integrates with three recover…
Revealing growing and disparate vulnerability in the U.S. power system
Power systems are increasingly challenged by a range of external and internal threats that undermine their reliability and resilience. Power system vulnerability, the proneness of the power system to disruptions, can be empirically characterized through the observable manifestations of power outages. However, existing research remains limited in spatial coverage, temporal scope, and analytical consistency, and lacks comprehensive, longitudinal, l…
Quantifying functional criticality of lifelines through mobility-derived population-facility dependence for human-centered resilience
AI meets natural hazard risk
Decoding the pulse of community during disasters
Anatomy of a historic blackout
Characterizing urban lifestyle signatures using motif properties in network of places
The lifestyles of urban dwellers could reveal important insights regarding the dynamics and complexity of cities. The availability of human movement data captured from cell phones enables characterization of distinct and recurrent human daily visitation patterns. Despite growing research on analysis of lifestyle patterns in cities, little is known about the characteristics of people’s lifestyle patterns at urban scale. This limitation is primaril…
Non-locality and spillover effects of residential flood damage on community recovery
Has Tourism Industry Agglomeration Improved the Total Factor Productivity of Chinese Urban Agglomerations?—The Moderating Effect of Public Epidemic
Industry agglomeration has become a prominent feature of tourism industry development in developed and developing countries and regions in the world. According to the literature analysis, the development of industrial agglomeration has both agglomeration effect and congestion effect. This paper constructs a theoretical and empirical analysis framework for the impact of tourism industry agglomeration on the total factor productivity of Chinese urb…
Evaluation and driving factors of land use economic efficiency in China's urban agglomerations under the impact of Covid-19 epidemic
Land is an indispensable factor of production and the basic support for all social and economic activities. The COVID-19 epidemic has a great impact on China's macro-economy and land market. As a unit with a high concentration of economic entities, urban agglomeration is closely related to its land use economic efficiency. Under the impact of epidemic and the rigid constraints of the relative scarcity of land resources, improving the land use eco…
Economic policy uncertainty and green economy efficiency
Policy uncertainties have always played a critical role in shaping economic outcomes, as evidenced by the recent sluggish economic growth in many countries. Green economic efficiency (GEE) is a comprehensive index to measure economic, social, and environmental development. This paper uses the slack-based measurement (SBM) directional distance function and Luenberger productivity indicator to measure the static GEE and dynamic green total factor p…
Forecasting of Landslide Displacement Using a Probability-Scheme Combination Ensemble Prediction Technique
Data-driven models have been extensively employed in landslide displacement prediction. However, predictive uncertainty, which consists of input uncertainty, parameter uncertainty, and model uncertainty, is usually disregarded in deterministic data-driven modeling, and point estimates are separately presented. In this study, a probability-scheme combination ensemble prediction that employs quantile regression neural networks and kernel density es…
Does Environmental Innovation Improve Environmental Productivity?—An Empirical Study Based on the Spatial Panel Data Model of Chinese Urban Agglomerations
Environmental productivity comprehensively measures economic growth and environmental quality. Environmental innovation is considered to be the key to solving economic and environmental problems. Therefore, discussing the impact of environmental innovation on environmental productivity will reveal its economic and environmental effects. This paper measures environmental productivity by value added per unit of pollution emissions (four types of em…
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Forecasting of Landslide Displacement Using a Probability-Scheme Combination Ensemble Prediction Technique
Data-driven models have been extensively employed in landslide displacement prediction. However, predictive uncertainty, which consists of input uncertainty, parameter uncertainty, and model uncertainty, is usually disregarded in deterministic data-driven modeling, and point estimates are separately presented. In this study, a probability-scheme combination ensemble prediction that employs quantile regression neural networks and kernel density es…
Does Environmental Innovation Improve Environmental Productivity?—An Empirical Study Based on the Spatial Panel Data Model of Chinese Urban Agglomerations
Environmental productivity comprehensively measures economic growth and environmental quality. Environmental innovation is considered to be the key to solving economic and environmental problems. Therefore, discussing the impact of environmental innovation on environmental productivity will reveal its economic and environmental effects. This paper measures environmental productivity by value added per unit of pollution emissions (four types of em…
Has Tourism Industry Agglomeration Improved the Total Factor Productivity of Chinese Urban Agglomerations?—The Moderating Effect of Public Epidemic
Industry agglomeration has become a prominent feature of tourism industry development in developed and developing countries and regions in the world. According to the literature analysis, the development of industrial agglomeration has both agglomeration effect and congestion effect. This paper constructs a theoretical and empirical analysis framework for the impact of tourism industry agglomeration on the total factor productivity of Chinese urb…
Evaluation and driving factors of land use economic efficiency in China's urban agglomerations under the impact of Covid-19 epidemic
Land is an indispensable factor of production and the basic support for all social and economic activities. The COVID-19 epidemic has a great impact on China's macro-economy and land market. As a unit with a high concentration of economic entities, urban agglomeration is closely related to its land use economic efficiency. Under the impact of epidemic and the rigid constraints of the relative scarcity of land resources, improving the land use eco…
Economic policy uncertainty and green economy efficiency
Policy uncertainties have always played a critical role in shaping economic outcomes, as evidenced by the recent sluggish economic growth in many countries. Green economic efficiency (GEE) is a comprehensive index to measure economic, social, and environmental development. This paper uses the slack-based measurement (SBM) directional distance function and Luenberger productivity indicator to measure the static GEE and dynamic green total factor p…
Characterizing urban lifestyle signatures using motif properties in network of places
The lifestyles of urban dwellers could reveal important insights regarding the dynamics and complexity of cities. The availability of human movement data captured from cell phones enables characterization of distinct and recurrent human daily visitation patterns. Despite growing research on analysis of lifestyle patterns in cities, little is known about the characteristics of people’s lifestyle patterns at urban scale. This limitation is primaril…
Non-locality and spillover effects of residential flood damage on community recovery
AI meets natural hazard risk
Decoding the pulse of community during disasters
Anatomy of a historic blackout
Characterizing Community Formation in Response to Extreme Weather Events Through Human Mobility Networks
Community formation in socio-spatial human networks is an important mechanism through which populations cope with and mitigate the impacts of extreme weather hazards. However, limited research has examined the latent network characteristics that shape community formation in human mobility networks during natural hazard-related disasters. In this study, we analyzed human mobility networks in Harris County, Texas, during the managed power outages a…
Quantifying the social costs of power outages and restoration disparities across four U.S. hurricanes
The multifaceted nature of disaster impact reveals that areas with concentrated populations may contribute more to overall economic burden, while sparsely populated but highly impacted regions suffer disproportionately at the individual level. This study presents a framework that quantifies the societal costs of power outages by converting customer-weighted outage exposure into monetized social losses. This framework integrates with three recover…
Revealing growing and disparate vulnerability in the U.S. power system
Power systems are increasingly challenged by a range of external and internal threats that undermine their reliability and resilience. Power system vulnerability, the proneness of the power system to disruptions, can be empirically characterized through the observable manifestations of power outages. However, existing research remains limited in spatial coverage, temporal scope, and analytical consistency, and lacks comprehensive, longitudinal, l…
Quantifying functional criticality of lifelines through mobility-derived population-facility dependence for human-centered resilience
Geography (6 works) · Disaster Management and Resilience (5 works) · Economic geography (5 works) · Economics (5 works) · Business (4 works) · Computer Science (4 works) · Environmental Science (4 works) · Infrastructure Resilience and Vulnerability Analysis (4 works) · Productivity (4 works) · Urban agglomeration (4 works)