Customized bus service design for uncertain commuting travel demand

2020 ◽  
pp. 1-26
Author(s):  
Xueping Dou ◽  
Qiang Meng ◽  
Kai Liu
Keyword(s):  
Travel Demand ◽  
Service Design ◽  
Bus Service

Intermodal Connection of High-Speed Rail with Interregional Bus Services in Japan

2020 ◽  
Vol 2674 (11) ◽  
pp. 674-684
Author(s):  
Ryosuke Yashiro ◽  
Hironori Kato
Keyword(s):  
Rural Areas ◽  
High Speed ◽  
Travel Demand ◽  
Choice Model ◽  
Market Potential ◽  
Intermodal Transportation ◽  
High Speed Rail ◽  
Transportation Service ◽  
Bus Service ◽  
Bus Services

An intermodal transportation service consisting of high-speed rail (HSR) and an interregional bus service is one policy option for rural areas where interregional travel demand is too low to justify the construction of HSR. This study reviews current interregional bus services connecting with interregional rail, particularly HSR, in Japan, and analyzes the market potential for improving intermodal transportation by integrating HSR with an interregional bus service. It reviews the current interregional transportation network and related travel demand, including for air, rail, and bus. It also analyzes the connectivity of rail+bus intermodal transportation. The analysis showed poor connectivity of HSR and interregional bus services in Japan. Next, an interregional travel mode choice model is estimated with a nested-logit model using data from the Interregional Travel Survey 2010. Then, origin–destination pairs constituting the potential travel demand of the rail+bus option are identified using simple market analysis. This revealed that origin–destination pairs connecting prefectural cities along the Tohoku Shinkansen (HSR) with Kofu City could gain modal shift from other travel modes to rail+bus through improvement in the connection or introduction of a new interregional bus service connected with HSR. Expected changes in modal shares for rail+bus are estimated through a case study where a connection at the HSR station is hypothetically improved by a newly introduced interregional bus service. This suggests that improvements in connectivity at the HSR station could encourage the intermodal transportation service of rail+bus, even for areas not connected with the HSR network.

scholarly journals Sparse and Dense Mixed Grid Transit Accessible Network Based on Uneven Distribution of Travel Demand

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Chen Guo ◽  
Jianjun Wang ◽  
Yueying Huo ◽  
Meiying Jian
Keyword(s):  
San Francisco ◽  
High Performance ◽  
Travel Demand ◽  
Agency Cost ◽  
Uneven Distribution ◽  
Transit Network ◽  
Grid Network ◽  
Proposed Model ◽  
Bus Service ◽  
The Impact

The uneven distribution of travel demand is incredibly commonplace in cities, but insufficient attention has been paid to this problem. In this paper, we explore the impact of the uneven distribution of travel demand on an accessible network. A model with a sparse and dense mixed grid transit network based on an uneven distribution of travel demand is proposed to provide a high-performance bus service. The transit network was composed of two parts: a dense grid network in the downtown area and a sparse grid network in the periphery. The objective function of the model included agency cost and passenger cost, where the decision variables were the downtown-to-city ratio, the downtown headway, stop spacing (line spacing), and ratio of the periphery headway to the downtown headway. This study validated the proposed model using the demands of San Francisco. The concentrated spatial demand resulted in a lower total cost, whereas the varying travel demand must be controlled within an appropriate range to maintain the bus performance. The stable bus lines and stops with a variable timetable of the proposed model are profitable for fast-growing cities.

scholarly journals Bus Route Design with a Bayesian Network Analysis of Bus Service Revenues

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Yi Liu ◽  
Yuanhua Jia ◽  
Xuesong Feng ◽  
Jiang Wu
Keyword(s):  
Network Analysis ◽  
Bayesian Network ◽  
Travel Demand ◽  
Network Approach ◽  
Passenger Transport ◽  
Passenger Demand ◽  
Route Design ◽  
Bus Service ◽  
Bus Services ◽  
Operation Cost

A Bayesian network is used to estimate revenues of bus services in consideration of the effect of bus travel demands, passenger transport distances, and so on. In this research, the area X in Beijing has been selected as the study area because of its relatively high bus travel demand and, on the contrary, unsatisfactory bus services. It is suggested that the proposed Bayesian network approach is able to rationally predict the probabilities of different revenues of various route services, from the perspectives of both satisfying passenger demand and decreasing bus operation cost. This way, the existing bus routes in the studied area can be optimized for their most probable high revenues.

scholarly journals Incremental bus service design: combining limited-stop and local bus services

2013 ◽  
Vol 5 (1-2) ◽  
pp. 53-78 ◽  
Author(s):  
Virot Chiraphadhanakul ◽  
Cynthia Barnhart
Keyword(s):  
Service Design ◽  
Bus Service ◽  
Bus Services

Impacts of School Reopening on Variations in Local Bus Performance in Sydney

2021 ◽  
pp. 036119812110067
Author(s):  
Wenbo Yan ◽  
Hudson Yao ◽  
Linji Chen ◽  
Hema Rayaprolu ◽  
Emily Moylan
Keyword(s):  
Travel Behavior ◽  
System Performance ◽  
Travel Demand ◽  
Service Reliability ◽  
School Closures ◽  
Road Congestion ◽  
Travel Restrictions ◽  
Bus Service ◽  
Bus System

During the COVID-19 pandemic, stay-at-home orders in conjunction with working from home, school closures, and event cancellations resulted in a decrease in travel demand. Under normal circumstances, these activities are components of trip chains and utilize a multimodal transport network. The overall performance of the network can be traced through delays in the bus system as buses capture both changes in ridership and fluctuations in mixed traffic conditions. This paper explores the hypothesis that resumption of a single component in trip chains (i.e., school reopening) is sufficient for a measurable change in transport system performance. This study used school reopening in Sydney, Australia as a case study to explore whether school-related trips affected bus system performance directly with higher student patronage or indirectly with heavier road congestion from parental car trips. Both stop dwell times and differences in delays between successive stops were used as bus service indicators. Dwell times reflect the travel demand for buses and delay differences capture local changes in service reliability. We found that increase in ridership had limited impacts on bus punctuality. However, the level of local bus performance worsened after schools reopened, and the effect was more pronounced in commercial areas in the afternoon when schools ended, suggesting secondary trip purposes such as leisure and shopping in addition to school pick-ups. This study revealed the interaction between different trip purposes during the postshutdown period and threw light on changes in travel behavior patterns as travel restrictions were relaxed in pandemic circumstances.

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