Suren Chen
Biographic Data
| ID | 7928616 |
|---|---|
| NAME | Suren Chen |
| GIVEN NAMES | Suren |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN S |
| AFFILIATIONS | Colorado State University |
| ORCID | 0000-0002-3708-5875 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The ecological wisdom of living with troubled water in the fengcong-depression karst area, Guangxi, China
Traffic resilience modeling for post-earthquake emergency medical response and planning considering disrupted infrastructure and dislocated residents
Crash Frequency Modeling Using Real-Time Environmental and Traffic Data and Unbalanced Panel Data Models
Traffic and environmental conditions (e.g., weather conditions), which frequently change with time, have a significant impact on crash occurrence. Traditional crash frequency models with large temporal scales and aggregated variables are not sufficient to capture the time-varying nature of driving environmental factors, causing significant loss of critical information on crash frequency modeling. This paper aims at developing crash frequency mode…
Crash Frequency Analysis Using Hurdle Models with Random Effects Considering Short-Term Panel Data
Random effect panel data hurdle models are established to research the daily crash frequency on a mountainous section of highway I-70 in Colorado. Road Weather Information System (RWIS) real-time traffic and weather and road surface conditions are merged into the models incorporating road characteristics. The random effect hurdle negative binomial (REHNB) model is developed to study the daily crash frequency along with three other competing model…
No prominent works on this page.
Crash Frequency Modeling Using Real-Time Environmental and Traffic Data and Unbalanced Panel Data Models
Traffic and environmental conditions (e.g., weather conditions), which frequently change with time, have a significant impact on crash occurrence. Traditional crash frequency models with large temporal scales and aggregated variables are not sufficient to capture the time-varying nature of driving environmental factors, causing significant loss of critical information on crash frequency modeling. This paper aims at developing crash frequency mode…
Crash Frequency Analysis Using Hurdle Models with Random Effects Considering Short-Term Panel Data
Random effect panel data hurdle models are established to research the daily crash frequency on a mountainous section of highway I-70 in Colorado. Road Weather Information System (RWIS) real-time traffic and weather and road surface conditions are merged into the models incorporating road characteristics. The random effect hurdle negative binomial (REHNB) model is developed to study the daily crash frequency along with three other competing model…
Traffic resilience modeling for post-earthquake emergency medical response and planning considering disrupted infrastructure and dislocated residents
The ecological wisdom of living with troubled water in the fengcong-depression karst area, Guangxi, China
Computer Science (3 works) · Engineering (3 works) · Transport engineering (3 works) · Crash (2 works) · Econometrics (2 works) · Environmental Science (2 works) · Mathematics (2 works) · Negative binomial distribution (2 works) · Panel data (2 works) · Road surface (2 works)