Runhua Ivan Xiao
Biographic Data
| ID | 6582564 |
|---|---|
| NAME | Runhua Ivan Xiao |
| GIVEN NAMES | Runhua Ivan |
| FAMILY NAME | Xiao |
| SIGNATURE | XIAO R I |
| AFFILIATIONS | University of California, Davis |
| ORCID | 0000-0002-9676-8334 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Prediction framework for parking search cruising time and emissions in dense urban areas
The growing need for temporary pickups/drop-offs and commercial deliveries is crowding out the already inadequate on-street parking spaces designated for car trips, deteriorating the phenomenon of parking search. This paper: (1) uses empirical data and conducts descriptive and comparative analysis using a spatial lag model to analyze the factors influencing average cruising time (ACT) related to parking search, and (2) proposes a novel framework …
Spatial analysis and predictive modeling framework of truck parking and idling impacts on environmental justice communities
This study introduces a comprehensive modeling framework to analyze truck idling and parking activities, illustrated through a case study in environmental justice communities in Kern County, California. It includes 1) exploratory spatial and cluster analysis to identify hotspots of those truck activities and their influencing factors, and 2) advanced predictive models, particularly the Cross-Validated Random Forests model, to predict and investig…
Optimizing bikeshare service to connect affordable housing units with transit service
Optimizing bikeshare service to connect affordable housing units with transit service
Prediction framework for parking search cruising time and emissions in dense urban areas
The growing need for temporary pickups/drop-offs and commercial deliveries is crowding out the already inadequate on-street parking spaces designated for car trips, deteriorating the phenomenon of parking search. This paper: (1) uses empirical data and conducts descriptive and comparative analysis using a spatial lag model to analyze the factors influencing average cruising time (ACT) related to parking search, and (2) proposes a novel framework …
Spatial analysis and predictive modeling framework of truck parking and idling impacts on environmental justice communities
This study introduces a comprehensive modeling framework to analyze truck idling and parking activities, illustrated through a case study in environmental justice communities in Kern County, California. It includes 1) exploratory spatial and cluster analysis to identify hotspots of those truck activities and their influencing factors, and 2) advanced predictive models, particularly the Cross-Validated Random Forests model, to predict and investig…
Business (3 works) · Engineering (3 works) · Transport engineering (3 works) · Urban and Freight Transport Logistics (3 works) · Smart Parking Systems Research (2 works) · Transportation and Mobility Innovations (2 works) · Truck (2 works) · Urban Transport and Accessibility (2 works) · Accommodation (1 works) · Affordable housing (1 works)