Xinghua Hu
Biographic Data
| ID | 7565020 |
|---|---|
| NAME | Xinghua Hu |
| GIVEN NAMES | Xinghua |
| FAMILY NAME | Hu |
| SIGNATURE | HU X |
| AFFILIATIONS | Chongqing Jiaotong University |
| ORCID | 0000-0002-5593-8894 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A bus origin-destination prediction model based on deep spatio-temporal residual networks
Government subsidy-penalty strategy to promote low-carbon multimodal transportation using dynamic-static combination mechanism
Multimodal transportation has emerged as a viable solution to reduce energy consumption and carbon emissions, garnering widespread support from and being implemented by various governments. However, the lack of robust promotional policies and incentives has led to limited participation and suboptimal regulatory efficiency, posing challenges to the sustainable growth of low-carbon multimodal transportation. To address these issues, this study firs…
Research on the evolution of low-carbon highway construction strategies considering the participation mechanism of operators
A measurement model of pedestrian tolerance time under signal-controlled conditions
The tolerance of pedestrians to red light signals is a crucial factor in urban residents’ travel experiences and road traffic safety. To address the current lack of research on methods for measuring pedestrian red light tolerance time at crossings, this paper proposes a stacking model for predicting the red light tolerance time of individual pedestrians. The model employs the XGBoost (XGB), random forest (RF), support vector machine regression (S…
Promotion strategy of low-carbon multimodal transportation considering government regulation and cargo owners’ willingness
No prominent works on this page.
A measurement model of pedestrian tolerance time under signal-controlled conditions
The tolerance of pedestrians to red light signals is a crucial factor in urban residents’ travel experiences and road traffic safety. To address the current lack of research on methods for measuring pedestrian red light tolerance time at crossings, this paper proposes a stacking model for predicting the red light tolerance time of individual pedestrians. The model employs the XGBoost (XGB), random forest (RF), support vector machine regression (S…
Promotion strategy of low-carbon multimodal transportation considering government regulation and cargo owners’ willingness
Government subsidy-penalty strategy to promote low-carbon multimodal transportation using dynamic-static combination mechanism
Multimodal transportation has emerged as a viable solution to reduce energy consumption and carbon emissions, garnering widespread support from and being implemented by various governments. However, the lack of robust promotional policies and incentives has led to limited participation and suboptimal regulatory efficiency, posing challenges to the sustainable growth of low-carbon multimodal transportation. To address these issues, this study firs…
Research on the evolution of low-carbon highway construction strategies considering the participation mechanism of operators
A bus origin-destination prediction model based on deep spatio-temporal residual networks
Computer Science (3 works) · Transportation Planning and Optimization (3 works) · Business (2 works) · Economics (2 works) · Energy, Environment, and Transportation Policies (2 works) · Environmental economics (2 works) · Industrial organization (2 works) · Subsidy (2 works) · Built environment (1 work) · Carbon tax (1 work)