Ensemble-Based Methodology to Identify Optimal Personal Mobility Service Areas Using Public Data
- Title
- Ensemble-Based Methodology to Identify Optimal Personal Mobility Service Areas Using Public Data
- Author
- 박준영
- Keywords
- Big data; Ensemble model; Random forest; Extreme gradient boosting; Hexagonal grid; Personal mobility; Public transportation
- Issue Date
- 2022-05
- Publisher
- 대한토목학회
- Citation
- KSCE Journal of Civil Engineering, v. 26, NO. 7, Page. 3150-3159
- Abstract
- Public transportation networks are well established in main cities, but there are some inconveniences in using public transportation in some cities. Public transportation is less accessible and walking distance of getting to public transportation is too long in some cities. Compared to other cities, Seoul has a higher satisfaction rate with public transportation. There are many cases, however, where short-distance taxis are used because walking to destinations after using public transportation is inconvenient instead, Personal mobility (PM) devices can be used for these short-distances trip. This study aims to find the optimal PM service area using GIS(Geographic Information System)-based public transportation big data analyses. Variables were generated by collecting socio-economic factors, public transportation data, and geographic data and Extreme gradient boosting and Random forest, which are representative ensemble methods, were used for evaluation. We divided Seoul into a hexagonal grid and developed the optimal PM location service model by creating hexagonal cell data units and analyzing the areas with the models. We found that residential complexes, parks, and near subway stations (all areas with high foot traffic) are best suited for optimal placement. We also determined deployment should be in lower sloped areas. We expect this work to help determine public transportation stop and shared mobility station locations as well as contribute to public transportation demand surveys and accessibility analyses.
- URI
- https://link.springer.com/article/10.1007/s12205-022-1356-yhttps://repository.hanyang.ac.kr/handle/20.500.11754/176065
- ISSN
- 1226-7988;1976-3808
- DOI
- 10.1007/s12205-022-1356-y
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > TRANSPORTATION AND LOGISTICS ENGINEERING(교통·물류공학과) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML