A simulation-optimization study of the inventory of a bike-sharing system: The case of Mexico City Ecobici’s system
| Autor: | Rafael López Bracho, Héctor R. Gómez Márquez, Adrian Ramirez-Nafarrate |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
050210 logistics & transportation
Computer science business.industry Heuristic (computer science) media_common.quotation_subject 05 social sciences Geography Planning and Development 0211 other engineering and technologies 021107 urban & regional planning Transportation 02 engineering and technology Urban Studies Transport engineering Interdependence Order (business) Mexico city Public transport 0502 economics and business TRIPS architecture Quality (business) business media_common Fleet management |
| Zdroj: | Case Studies on Transport Policy. 9:1059-1072 |
| ISSN: | 2213-624X |
| DOI: | 10.1016/j.cstp.2021.01.014 |
| Popis: | Bike-sharing systems (BSS) are a healthy and environmentally friendly alternative for public transportation in many large urban areas around the world. In 2010, Mexico City started its BSS, named Ecobici, with 84 stations and reached more than 840,000 trips that year. Ecobici rapidly became a preferred option for many users. By 2019, the number of stations in Ecobici had grown almost 6 times since the first year. In addition, the number of registered trips on 2019 was more than 8.4 million and the number of trips in a weekday were more than 30,000. In order to incentivize the adoption of bike as transportation mode, Ecobici and other BSS need to handle the bike inventory at their stations throughout the day. There are many challenges for optimizing bike inventory in BSS given the complex interdependencies, the non-homogeneous demand flows, and the large-scale scenarios. In this paper, we propose and study a simulation–optimization framework to minimize the number of shortage events (failed bike withdrawals and returns) by setting an adequate bike inventory at each station throughout the day. We propose an efficient modeling approach to simulate large-scale BSS and a simulation–optimization heuristic to optimize bike inventory. The experiments show that these algorithms obtain results with similar quality than other search methods, but in a significant shorter amount of time. |
| Databáze: | OpenAIRE |
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