This data supports the research project Bi-objective Optimization for Battery Electric Bus Deployment Considering Cost and Environmental Equity and a final report published on NITC’s website.
The final report for this project can be found at: https://dx.doi.org/10.15760/trec.252.
Dataset collected through multiple sources and organized into different formats including CSV format, JSON format, shapefile and code repository.
Context: The research project develops a bi-objective model that aims to help transit agencies to optimally deploy BEB while considering both capital investment and environmental equity. The unique spatio-temporal characteristic of BEB system, charging limitations (on-route and in-depot charging), and operational constraints are also considered and incorporated into the model.
Liu, X., Zhou, Y., Wei, R., & Golub, A. Data Files: Bi-objective Optimization for Battery Electric Bus Deployment Considering Cost and Environmental Equity. NITC-RR- 1222. Portland, OR: Transportation Research and Education Center (TREC), 2021 https://doi.org/10.15760/TREC_datasets.10
2. BusStops_UTA-.zip (278 kB)
3. UTA Runcut File Aug2016.xlsx (359 kB)
4. TAZ-.zip (2168 kB)
5. Marginal_Income.xlsx (134 kB)
6. SE_File_v83_SE19_Net19.xlsx (114 kB)
7. Pollutant Concentration.xlsx (16 kB)
8. Code for Optimization-.zip (15 kB)
9. Code for Visualization-.zip (22120 kB)