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 Modeling the impact of bus operations on urban transport systems using an activity-based microsimulation platform – A case study of Singapore
Tác giả hoặc Nhóm tác giả: Duy Q. Nguyen-Phuoc*, Diem-Trinh Thi Le, Zhou Meng, Simon OH
Nơi đăng: Transportation Research Board (TRB) 99th Annual Meeting, Washington, D.C, The United States; Số: 20-01650;Từ->đến trang: 1-12;Năm: 2020
Lĩnh vực: Khoa học công nghệ; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
The operation of buses plays an important role in an urban transport system. A well-designed bus system can contribute to alleviate traffic congestion, air pollution and accidents, thus promotes urban sustainability. Previous studies have investigated the relief impacts of bus services on congestion using ‘vehicle-based’ measurements. However, it is limited to capture the congestion level at disaggregate levels. This study estimates the congestion level at the individual level using ‘person-based’ measures to assess the overall impact of bus on urban transport. Using SimMobility, an agent-based microsimulation platform, this paper aims to achieve a better understanding of the impacts of bus operations on reducing the congestion level of urban transport systems, with a focus on train systems and road networks. The results indicate that Singapore’s bus services contribute to reduce passenger kilometers travelled and total travel time of train passengers by approximately 40-45% and of car users by 16-18% in peak hours. The spatial effect of bus operations is also investigated, which shows that during morning peak hours, train passengers and car users living in outer areas are most affected. Findings from this study emphasizes bus operation’s contribution to achieving transport policies’ objectives and wider urban sustainability goals.
ABSTRACT
The operation of buses plays an important role in an urban transport system. A well-designed bus system can contribute to alleviate traffic congestion, air pollution and accidents, thus promotes urban sustainability. Previous studies have investigated the relief impacts of bus services on congestion using ‘vehicle-based’ measurements. However, it is limited to capture the congestion level at disaggregate levels. This study estimates the congestion level at the individual level using ‘person-based’ measures to assess the overall impact of bus on urban transport. Using SimMobility, an agent-based microsimulation platform, this paper aims to achieve a better understanding of the impacts of bus operations on reducing the congestion level of urban transport systems, with a focus on train systems and road networks. The results indicate that Singapore’s bus services contribute to reduce passenger kilometers travelled and total travel time of train passengers by approximately 40-45% and of car users by 16-18% in peak hours. The spatial effect of bus operations is also investigated, which shows that during morning peak hours, train passengers and car users living in outer areas are most affected. Findings from this study emphasizes bus operation’s contribution to achieving transport policies’ objectives and wider urban sustainability goals.
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