Miguel Jaller
Biographic Data
| ID | 6309347 |
|---|---|
| NAME | Miguel Jaller |
| GIVEN NAMES | Miguel |
| FAMILY NAME | Jaller |
| SIGNATURE | JALLER M |
| AFFILIATIONS | University of California, Davis |
| ORCID | 0000-0003-4053-750X |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Leveraging social assistance networks for enhanced disaster response logistics
Assessing road network risk performance in the United States: A standardized spatial risk analysis
Natural hazards can disrupt road networks, daily activities, and disaster response capabilities, making identifying high-risk areas essential for effective preparedness and response planning. Although existing research addresses road network performance risks, it offers limited insights into spatial patterns, their impact on network functionality, and their implications for disaster operations management. This paper introduces a method to evaluat…
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
Exploring the potential role of bikeshare to complement public transit: The case of San Francisco amid the coronavirus crisis
Equitable distribution of bikeshare stations: An optimization approach
Enhancing equitable service level: Which can address better, dockless or dock-based Bikeshare systems
Enhancing equitable service level: Which can address better, dockless or dock-based Bikeshare systems
Equitable distribution of bikeshare stations: An optimization approach
Exploring the potential role of bikeshare to complement public transit: The case of San Francisco amid the coronavirus crisis
Optimizing bikeshare service to connect affordable housing units with transit service
Leveraging social assistance networks for enhanced disaster response logistics
Assessing road network risk performance in the United States: A standardized spatial risk analysis
Natural hazards can disrupt road networks, daily activities, and disaster response capabilities, making identifying high-risk areas essential for effective preparedness and response planning. Although existing research addresses road network performance risks, it offers limited insights into spatial patterns, their impact on network functionality, and their implications for disaster operations management. This paper introduces a method to evaluat…
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 (7 works) · Engineering (7 works) · Transport engineering (7 works) · Urban and Freight Transport Logistics (5 works) · Urban Transport and Accessibility (5 works) · Computer Science (4 works) · Transportation and Mobility Innovations (4 works) · Economics (3 works) · Marketing (3 works) · Political science (3 works)