Bike-Repositioning Using Volunteers: Crowd Sourcing with Choice Restriction
Authors: Jinjia Huang, Mabel C. Chou, Chung-Piaw Teo11844-11852
AAAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We also develop a comprehensive simulation model using a threshold-based policy to deploy the volunteers in real time, to test the effect of choice restriction on volunteers (suitably deployed) to re-position bikes. We use the Hubway system in Boston (with 60 stations) to demonstrate that using a sparse structure to concentrate the re-balancing activities of the volunteers, instead of allowing all admissible flows in the system (as in current practice), can reduce the number of re-balancing moves by a huge amount, losing only a small proportion of demand satisfied. |
| Researcher Affiliation | Academia | Jinjia Huang, Mabel C. Chou, Chung-Piaw Teo Institute of Operations Research and Analytics, National University of Singapore, Singapore oraahj@nus.edu.sg, bizchoum@nus.edu.sg, bizteocp@nus.edu.sg |
| Pseudocode | Yes | Algorithm 1: State-dependent Empty Bike Re-balancing Policy |
| Open Source Code | No | The paper does not contain any explicit statement about making its source code available or provide a link to a code repository. |
| Open Datasets | No | The paper mentions using "the Boston Hubway system" data and refers to a "technical appendix" for data preparation, but it does not provide a concrete link, DOI, or formal citation for accessing this specific dataset publicly within the paper's text. |
| Dataset Splits | No | The paper mentions using "50-day output as training data (i.e., in-sample)" and "test our online re-balancing algorithm over another new 100-day simulation," indicating a train/test split. However, it does not explicitly mention a separate 'validation' dataset or its split details. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware (e.g., CPU, GPU models, memory) used for running the experiments or simulations. |
| Software Dependencies | No | The paper mentions using "SDPNAL+ solver developed by (Yang, Sun, and Toh 2015)" but does not specify a version number for this software, which is required for reproducibility. |
| Experiment Setup | Yes | We set the homogeneous volunteer arrival rate for each station to be c max{λ(v) i , i S}, where c is 0.05 (around 175 volunteers) or 0.1 (around 349 volunteers). The outside option O varies from 0 to 10 with step size 1. |