Line haul interstation spacing for low cost feeder modes

Parajuli, Partha; Wirasinghe, S. C.

doi:10.1080/03081060108717672

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…These models can provide general insights into how to structure efficient transit systems by making generalizations that simplify the analysis. Several studies have used CA to optimize stop spacing (Wirasinghe and Ghoneim 1981, Kuah and Perl 1988, Parajuli and Wirasinghe 2001 along with other network attributes such as headway (Chien et al 2010). Others have examined the structure of transit networks, such as grids, radial systems (Byrne 1975, Tirachini et al 2010, and hub-and-spoke systems (Newell 1979).…”

Section: Public Transportation Network Designmentioning

confidence: 99%

Tradeoffs between costs and greenhouse gas emissions in the design of urban transit systems

Griswold

Madanat²,

Horvath³

2013

Environ. Res. Lett.

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Recent investments in the transit sector to address greenhouse gas emissions have concentrated on purchasing efficient replacement vehicles and inducing mode shift from the private automobile. There has been little focus on the potential of network and operational improvements, such as changes in headways, route spacing, and stop spacing, to reduce transit emissions. Most models of transit system design consider user and agency cost while ignoring emissions and the potential environmental benefit of operational improvements. We use a model to evaluate the user and agency costs as well as greenhouse gas benefit of design and operational improvements to transit systems. We examine how the operational characteristics of urban transit systems affect both costs and greenhouse gas emissions. The research identifies the Pareto frontier for designing an idealized transit network. Modes considered include bus, bus rapid transit (BRT), light rail transit (LRT), and metro (heavy) rail, with cost and emissions parameters appropriate for the United States. Passenger demand follows a many-to-many travel pattern with uniformly distributed origins and destinations. The approaches described could be used to optimize the network design of existing bus service or help to select a mode and design attributes for a new transit system. The results show that BRT provides the lowest cost but not the lowest emissions for our large city scenarios. Bus and LRT systems have low costs and the lowest emissions for our small city scenarios. Relatively large reductions in emissions from the cost-optimal system can be achieved with only minor increases in user travel time.

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Section: Public Transportation Network Designmentioning

confidence: 99%

Tradeoffs between costs and greenhouse gas emissions in the design of urban transit systems

Griswold

Madanat²,

Horvath³

2013

Environ. Res. Lett.

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“…Wirasinghe and Seneviratne (1986) obtained optimum length of a rail line by considering minimum total transportation (user and operator) costs. Parajuli and Wirasinghe (2001) applied the similar approach by proposing a generic normative behavioural hybrid model which minimized cost associated with number and location of stations. Guan et al (2003) improved transit network design by considering simultaneous optimisation of transit line configuration and passenger line assignment.…”

Section: Public Transit Scheduling Problemsmentioning

confidence: 99%

Optimal coordination for an integrated multimodal and multi-operator transit system

Li¹

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With rapid urbanisation in most parts of the world, modern transit systems have been made more and more convenient, reliable and integrated. In Singapore, more than 60% of the daily commuting trips in year 2005 are made in public transport and this share will likely continue to increase, due to the policy governing land transport. In the mean time the service level of public transport needs to continue to be enhanced to help achieve this goal. The aim is to make public transport, especially transit, seamless and sustainable. The public transport system in Singapore is currently operated by two multimodal transit operators on an integrated network with each of them providing services in different geographical areas. Currently this multimodal network is integrated mainly in infrastructure. The operation schedule is still in the domain of each individual operator which resulted in unnecessarily long delays for passengers. To provide better service especially during off-peak hours, it is necessary to coordinate the transit system. What the coordination results would be, when multi-operators co-exist in the same multimodal transit system with fully or partially overlapping services, originates this research topic. This research focuses on optimal coordination of public transit operated by multiple operators. The optimal results would be achieved when the system reaches an equilibrium state that the operators and users would not modify their behaviour, i.e. operators would not adjust fare and schedule of transit services, while each groups of users keep on the same shortest paths. The objective function is the total cost which consists of operator cost and user cost. The formulation of the total cost in different coordination scenarios are analysed under three different operation policies, i.e. cooperation, competition and independence, respectively. By categorizing different groups of passengers in detail, the categorized passenger flows are traced on different paths that passengers have choosen. The optimal results in the equilibrium state can be obtained by the feedback optimisation algorithm developed in this study.The objective functions in scenarios of non-coordination and common headway coordination, which are identified as nonlinear programming problems, are solved by considering the first order and second order conditions; whereas the objective function in integer-ratio headway coordination is identified as a mixed integer nonlinear

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Minimizing the total costs of urban transit systems can reduce greenhouse gas emissions: The case of San Francisco

et al. 2018

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Line haul interstation spacing for low cost feeder modes

Cited by 4 publications

References 3 publications

Tradeoffs between costs and greenhouse gas emissions in the design of urban transit systems

Tradeoffs between costs and greenhouse gas emissions in the design of urban transit systems

Optimal coordination for an integrated multimodal and multi-operator transit system

Minimizing the total costs of urban transit systems can reduce greenhouse gas emissions: The case of San Francisco

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