Tinger Zhu
Biographic Data
| ID | 7992249 |
|---|---|
| NAME | Tinger Zhu |
| GIVEN NAMES | Tinger |
| FAMILY NAME | Zhu |
| SIGNATURE | ZHU T |
| AFFILIATIONS | Stanford University |
| ORCID | 0000-0003-4165-9146 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Refined Adaptive Regional Input–Output Model: Application to the 2016 Kumamoto Earthquake
The Adaptive Regional Input–Output (ARIO) model is popular for quantifying indirect economic losses, which stem from business and supply chain interruption. However, refining this model to study new contexts is challenging in its basic form due to low-resolution modeling of behavioral parameters and temporally static reconstruction rates. This paper presents a refined ARIO, or R-ARIO model that incorporates dynamic reconstruction rates, sector-le…
Multi-regional economic recovery simulation using an Adaptive Regional Input–Output (Ario) framework
Spatio-temporal dynamics of flood exposure in Shenzhen from present to future
The Pearl River Delta metropolitan region is one of the most densely urbanized megapolises worldwide with high exposure to weather-related disasters such as storms, storm surges and river floods. Shenzhen megacity has been the fastest growing city in the Pearl River Delta region with a significant increase of resident population from 0.32 million in 1980 to 13.03 million in 2018. Being a flood-prone city, Shenzhen’s rapid urbanization has further…
Spatio-temporal dynamics in seismic exposure of Asian megacities: Past, present and future
The estimation of urban growth in megacities is a critical and intricate task for researchers and decision-makers owing to the complexity of these urban systems. Currently, the majority of megacities are located in Asia which is one of the most disaster-prone regions in the world. The high concentrations of people, infrastructure and assets in megacities create high loss potentials for natural hazards; therefore, the forecasting of exposure metri…
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Spatio-temporal dynamics in seismic exposure of Asian megacities: Past, present and future
The estimation of urban growth in megacities is a critical and intricate task for researchers and decision-makers owing to the complexity of these urban systems. Currently, the majority of megacities are located in Asia which is one of the most disaster-prone regions in the world. The high concentrations of people, infrastructure and assets in megacities create high loss potentials for natural hazards; therefore, the forecasting of exposure metri…
Spatio-temporal dynamics of flood exposure in Shenzhen from present to future
The Pearl River Delta metropolitan region is one of the most densely urbanized megapolises worldwide with high exposure to weather-related disasters such as storms, storm surges and river floods. Shenzhen megacity has been the fastest growing city in the Pearl River Delta region with a significant increase of resident population from 0.32 million in 1980 to 13.03 million in 2018. Being a flood-prone city, Shenzhen’s rapid urbanization has further…
Multi-regional economic recovery simulation using an Adaptive Regional Input–Output (Ario) framework
Refined Adaptive Regional Input–Output Model: Application to the 2016 Kumamoto Earthquake
The Adaptive Regional Input–Output (ARIO) model is popular for quantifying indirect economic losses, which stem from business and supply chain interruption. However, refining this model to study new contexts is challenging in its basic form due to low-resolution modeling of behavioral parameters and temporally static reconstruction rates. This paper presents a refined ARIO, or R-ARIO model that incorporates dynamic reconstruction rates, sector-le…
Engineering (4 works) · Civil engineering (3 works) · Environmental Science (3 works) · Geography (3 works) · Built-up area (2 works) · Computer Science (2 works) · Flood Risk Assessment and Management (2 works) · Geology (2 works) · Hazard (2 works) · Infrastructure Resilience and Vulnerability Analysis (2 works)