Eric Krans
Biographic Data
| ID | 8886353 |
|---|---|
| NAME | Eric Krans |
| GIVEN NAMES | Eric |
| FAMILY NAME | Krans |
| SIGNATURE | KRANS E |
| AFFILIATIONS | Albany State University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Emerging trends in household travel survey programs
Transportation planners use household travel surveys to understand travel behavior, whether to develop forecasts of travel activity using travel demand or simulation models, to analyze personal motivations that drive the decision to travel, to identify users of existing transportation infrastructure and services, or to determine responsiveness to available or future travel options. Large urban area transportation planning organizations are faced …
Forecasting bus ridership using a “Blended Approach”
As sources of “Big Data” continue to grow, transportation planners and researchers seek to utilize these new resources. Given the current dependency on traditional transportation data sources and conventional tools (e.g., spreadsheets and propriety models), how can these new resources be used? This research examines a “blended data” approach, using a web-based, open source platform to assist transit agencies to forecast bus ridership. The platfor…
No prominent works on this page.
Forecasting bus ridership using a “Blended Approach”
As sources of “Big Data” continue to grow, transportation planners and researchers seek to utilize these new resources. Given the current dependency on traditional transportation data sources and conventional tools (e.g., spreadsheets and propriety models), how can these new resources be used? This research examines a “blended data” approach, using a web-based, open source platform to assist transit agencies to forecast bus ridership. The platfor…
Emerging trends in household travel survey programs
Transportation planners use household travel surveys to understand travel behavior, whether to develop forecasts of travel activity using travel demand or simulation models, to analyze personal motivations that drive the decision to travel, to identify users of existing transportation infrastructure and services, or to determine responsiveness to available or future travel options. Large urban area transportation planning organizations are faced …
Engineering (2 works) · Transport engineering (2 works) · Transportation planning (2 works) · Transportation Planning and Optimization (2 works) · Urban Transport and Accessibility (2 works) · Big data (1 works) · Business (1 works) · Computer Science (1 works) · Data collection (1 works) · Data mining (1 works)