Multimodal transit network design in a hub-and-spoke network framework

Huang, Di; Liu, Zhiyuan; Fu, Xiao; Blythe, PT

doi:10.1080/23249935.2018.1428234

Cited by 58 publications

(29 citation statements)

References 50 publications

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“…The ABC algorithm is a meta-heuristic algorithm that is based on the foraging behavior of a honey bee swarm, in which solutions, referred to as food sources, are modified by artificial bees with time, and the objective of a bee is to discover food sources with higher nectar amounts and the food source with the highest amount of nectar ( 24 ). The ABC algorithm has been extensively applied to solve transit optimization problems ( 25 , 26 ). Hence, the algorithm is used to solve the MINLP model proposed in this study.…”

Section: Solution Methodsmentioning

confidence: 99%

Feeder Bus Timetable Design and Vehicle Size Setting in Peak Hour Demand Conditions

Dou

Meng

2019

Transportation Research Record: Journal of the Transportation R

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This study proposes a solution to the feeder bus timetabling problem, in which the terminal departure times and vehicle sizes are simultaneously determined based on the given transfer passengers and their arrival times at a bus terminal. The problem is formulated as a mixed integer non-linear programming (MINLP) model with the objective of minimizing the transfer waiting time of served passengers, the transfer failure cost of non-served passengers, and the operating costs of bus companies. In addition to train passengers who plan to transfer to buses, local passengers who intend to board buses are considered and treated as passengers from virtual trains in the proposed model. Passenger attitudes and behaviors toward the waiting queue caused by bus capacity constraints in peak hour demand conditions are explicitly embedded in the MINLP model. A hybrid artificial bee colony (ABC) algorithm is developed to solve the MINLP model. Various experiments are set up to account for the performance of the proposed model and solution algorithm.

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Section: Solution Methodsmentioning

confidence: 99%

Feeder Bus Timetable Design and Vehicle Size Setting in Peak Hour Demand Conditions

Dou

Meng

2019

Transportation Research Record: Journal of the Transportation R

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“…In multimodal passenger transport, as Kowalczyk ( 2019) emphasizes, it is advisable that the train should cover the longest possible section of the route to the interchange node. The theory of the main role of rail and bus transport in sustainable tourist mobility is also mentioned by Høyer (2004) as well as in the 'hub and spoke' model, described by Huang et al (2018), where bus lines serving in a strictly defined area bring passengers to multimodal nodes concentrated around rail transport. Consequently, the train becomes a way of mass transport in long-distance journeys.…”

Section: The Time-effectiviness Of the Existing Connections Between Slovakia And The Polish Baltic Coastmentioning

confidence: 99%

Multimodal solutions as factors of increasing transport accessibility – the case of Slovakia-Polish Baltic coast route

Małysz¹

2021

geogrcas

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Multimodal solutions as factors of increasing transport accessibilitythe case of Slovakia-Polish Baltic coast route Multimodal passenger transport is an essential component of long-distance travel by public transport. It is not possible to establish direct rail or bus connections between all regions of a given country and it is even more difficult to ensure the communication between regions of various countries. However, in order to ensure relatively efficient accessibility and at the same time to maintain profitable connections, possibilities of convenient changes of ways of transport are possible at multimodal interchange nodes, which is the most important element of the infrastructure of multimodal passenger transport. Examples of potential applications of this type of mobility include tourist trips from Slovakia to Baltic Sea resorts in Poland. Over a dozen Polish seaside resorts located on the Baltic coast can become travel destinations for Slovak tourists. The article discusses the capabilities of public transport between Slovakia and the Polish Baltic coast. It also analyses its real-life effectiveness and identifies problems requiring support and implementation of an integrated multimodal passenger transport. This discussion is based on the analysis of timetables, including the basic timetable assumptions. The results of the analysis will include maps showing the differentiation of accessibility of the Polish Baltic coast and an exemplary model improving the performance of public transport between Slovakia and the destinations located on the Polish coast.

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“…e direct network [2][3][4][5][6][7][8][9][10][11] aims to reduce passenger transfers by designing multidirectional lines based on the OD matrix.…”

Section: Introductionmentioning

confidence: 99%

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

Guo

Wang

Huo

et al. 2021

Discrete Dynamics in Nature and Society

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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.

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Multimodal transit network design in a hub-and-spoke network framework

Cited by 58 publications

References 50 publications

Feeder Bus Timetable Design and Vehicle Size Setting in Peak Hour Demand Conditions

Feeder Bus Timetable Design and Vehicle Size Setting in Peak Hour Demand Conditions

Multimodal solutions as factors of increasing transport accessibility – the case of Slovakia-Polish Baltic coast route

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

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