Lidia P Kostyniuk
Biographic Data
| ID | 7711216 |
|---|---|
| NAME | Lidia P Kostyniuk |
| GIVEN NAMES | Lidia P |
| FAMILY NAME | Kostyniuk |
| SIGNATURE | KOSTYNIUK L P |
| AFFILIATIONS | University of Michigan |
| ORCID | 0000-0002-9704-6392 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1978 |
| LATEST PUBLICATION YEAR | 2013 |
| H-INDEX | 0 |
Visualizing Travel Patterns with a GPS Dataset
This paper examines the spatial patterns of non-work activities for 34 drivers in the Southeast Michigan region. Capitalizing upon a unique global positioning systems (GPS) dataset and GIS visualization techniques, this study quantifies the spatial distributions of non-work activities for drivers with different commuting distances, and for non-work activities that are chained in different types of travel (commute travel vs. non-commute travel). W…
Tribute to Ryuichi Kitamura
Using GPS Data to Understand Driving Behavior
Travel-demand modeling is evolving away from relying on crude data aggregated at large urban zones toward using highly disaggregated approaches where individual travelers are modeled by interacting
A repeated cross-sectional evaluation of car ownership
Factors influencing destination choice for the urban grocery shopping trip
No prominent works on this page.
Factors influencing destination choice for the urban grocery shopping trip
A repeated cross-sectional evaluation of car ownership
Using GPS Data to Understand Driving Behavior
Travel-demand modeling is evolving away from relying on crude data aggregated at large urban zones toward using highly disaggregated approaches where individual travelers are modeled by interacting
Tribute to Ryuichi Kitamura
Visualizing Travel Patterns with a GPS Dataset
This paper examines the spatial patterns of non-work activities for 34 drivers in the Southeast Michigan region. Capitalizing upon a unique global positioning systems (GPS) dataset and GIS visualization techniques, this study quantifies the spatial distributions of non-work activities for drivers with different commuting distances, and for non-work activities that are chained in different types of travel (commute travel vs. non-commute travel). W…
Computer Science (4 works) · Engineering (4 works) · Transport engineering (4 works) · Geography (3 works) · Urban Transport and Accessibility (3 works) · Econometrics (2 works) · Economic and Environmental Valuation (2 works) · Economics (2 works) · Global Positioning System (2 works) · Human Mobility and Location-Based Analysis (2 works)