An Agent-Based Simulation Approach for Evaluating the Performance of On-Demand Bus Services
| Autor: | Sohani Liyanage, Hussein Dia |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Geography Planning and Development TJ807-830 smart urban mobility 010501 environmental sciences Management Monitoring Policy and Law TD194-195 01 natural sciences Renewable energy sources Type of service Transport engineering Kilometer 0502 economics and business GE1-350 Flexible Mobility on Demand (FMoD) sustainable public transport 0105 earth and related environmental sciences Service (business) shared mobility 050210 logistics & transportation Environmental effects of industries and plants Renewable Energy Sustainability and the Environment business.industry Quality of service 05 social sciences Traffic simulation agent-based modelling Environmental sciences disruptive mobility Traffic congestion Public transport business |
| Zdroj: | Sustainability, Vol 12, Iss 4117, p 4117 (2020) Sustainability Volume 12 Issue 10 |
| ISSN: | 2071-1050 |
| Popis: | On-demand multi-passenger shared transport options are increasingly being promoted as an influential strategy to reduce traffic congestion and emissions and improve the convenience and travel experience for passengers. These services, often referred to as on-demand public transport, are aimed at meeting personal travel demands through the use of shared vehicles that run on flexible routes using advanced tools for dynamic scheduling. This paper presents an agent-based traffic simulation model that was developed to evaluate the performance of on-demand public transport and compare it with existing scheduled bus services using a case study of the inner city of Melbourne in Australia. The key performance measures used in the comparative evaluation included quality of service and passenger experience in terms of waiting times, the efficiency of service and operations in terms of hourly vehicle utilization, and system efficiency in terms of trip completion rates, passenger kilometers travelled and total passenger trip times. The results showed significant benefits for passengers who use on-demand bus services compared to scheduled bus services. The on-demand bus service was found to reduce average total passenger waiting times by 89% during the Morning Peak by 78% during the Mid-Day period by 81% during the Afternoon Peak and by more than 95% during other periods of the day. From an operator&rsquo s perspective, the on-demand services were found to achieve around 70% vehicle utilization rates during peak hours compared to a utilization rate not exceeding 16% for the scheduled bus services. Even during off-peak periods, the occupancies for on-demand services were almost twice the vehicle occupancies for scheduled bus services. In terms of system efficiency, the on-demand services achieved a trip completion rate of 85% compared to a trip completion rate of 67% for the scheduled bus services. The total passenger-kilometers travelled was similar for both scheduled and on-demand bus services, which refutes claims that on-demand bus services induce more kilometers of travel. The trip completion times were around 55% shorter for on-demand bus services compared to scheduled services, which represents a significant saving in travel time for users. Finally, the paper presents average emissions per completed trip for both types of services and shows a significant reduction in emissions for on-demand services compared to conventional bus services. These include, on average, a 48% reduction in CO2 emissions per trip 82% reduction in NO emissions per trip and 41% reduction in PM10 emissions per trip. These findings clearly demonstrate the superior benefits of on-demand bus services compared to scheduled bus services. |
| Databáze: | OpenAIRE |
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