A new transit network design study in consideration of transfer time composition

Feng, Xia‐Ting; Zhu, Xiaojing; Qian, Xuepeng; Jie, Yuanpeng; Ma, Fei; Niu, Xuejun

doi:10.1016/j.trd.2018.03.019

Cited by 42 publications

(24 citation statements)

References 18 publications

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“…Thus, sensitivity to time is the most important factors for commuters to influence the willingness to transfer like many other studies reported [11,32]. Strategies on reducing the transfer time and improving the transfer time reliability could increase the transfer usage in the four segments (S2, S4, S5, and S6).…”

Section: Policy Implicationsmentioning

confidence: 97%

“…A lot of efforts have been made on studying transfer disutility [8][9][10][11], while some of the studies are focused on the users' perceptions of transfers from various perspectives. Desiderio [12] pointed out that multimodal transport nodes also have great impact on the urban transport system as they may influence the users' experience of travelling or even change users' travel behavior.…”

Section: Introductionmentioning

confidence: 99%

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Analyzing Transfer Commuting Attitudes Using a Market Segmentation Approach

Bai

Yue

2018

Sustainability

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Abstract:Commuting by transfer in the public transit network is a green travel choice compared to private cars which should be encouraged when direct transit lines cannot take the commuters to their destinations. Therefore, transfer commuting attitudes are important for finding appropriate ways to attract more transfer commuters. Firstly, since attitudes are usually unobserved, a combined revealed preference (RP) and stated preference (SP) survey was conducted in Nanjing, China to obtain the observed attitudinal variables. Then the market segmentation approach including the factor analysis, the structural equation modelling (SEM) model and the K-means clustering method was used to identify the underlying attitudinal factors and variables and analyze the interrelationship between them. Six segments were identified by four key factors including the willingness to transfer, the sensitivity to time, the need for flexibility and the desire for comfort. The sensitivity to time is the most important factor for commuters influencing their willingness to transfer. The socio-economic features of each segment were also analyzed and compared. The result shows that socio-economic features have a great impact on the willingness to transfer. Corresponding policy and strategy implications to increase transfer commuting proportion were finally proposed.

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Section: Policy Implicationsmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Analyzing Transfer Commuting Attitudes Using a Market Segmentation Approach

Bai

Yue

2018

Sustainability

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“…Hence, no matter how complicated the transportation network is, the optimal route is feasible when the network is completely connected. In addition, the application of the shortest route ensures the uniqueness of a solution, avoiding "multi-route" generation in the iterations [24].…”

Section: Algorithm Designmentioning

confidence: 99%

Routing for Hazardous Materials Transportation in Urban Areas

Zhang

Feng

Yan³

et al. 2019

Symmetry

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Hazardous materials (HAZMAT) are important for daily production in cities, which usually have a high population. To avoid the threat to public safety and security, the routes for HAZMAT transportation should be planned legitimately by mitigating the maximum risk to population centers. For the objective of min-max local risk in urban areas, this study has newly proposed an optimization model where the service of a link for HAZMAT transportation was taken as the key decision variable. Correspondingly, the symmetric problem of min-max optimization takes significant meanings. Moreover, in consideration of the work load of solving the model under a lot of decision variables, a heuristic algorithm was developed to obtain an optimal solution. Thereafter, a case study was made to test the proposed model and algorithm, and the results were compared with those generated by deterministic solving approaches. In addition, this research is able to be an effective reference for authorities on the management of HAZMAT transportation in urban areas.

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“…e characteristics of the related studies are listed in the Table 1. As can be seen, generally, the problem is formulated by minimizing the travel cost [5][6][7][8], minimizing the construction and operation cost [7,9], and maximizing the passenger attraction or coverage [5,6,9,10] etc. e studies about the problem can be classi ed into the entire network design and the routes design based on existing network [7].…”

Section: Introductionmentioning

confidence: 99%

“…If the lines are selected from a given line pool to form the network, the rationality of these lines will largely depend on the quality of the line pool [20]. At present, the metaheuristic methods, such as genetic algorithm [8,21,22], simulated annealing algorithm [13], tabu search algorithm [23], swarm intelligence algorithm [24] and other metaheuristics [25,26] are usually applied in the transit network design problem.…”

Section: Introductionmentioning

confidence: 99%

An Improved NSGA-II Algorithm for Transit Network Design and Frequency Setting Problem

Chai

Qing-huai

2020

Journal of Advanced Transportation

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The transit network design and frequency setting problem is related to the generation of transit routes with corresponding frequency schedule. Considering not only the influence of transfers but also the delay caused by congestion on passengers’ travel time, a multi-objective transit network design model is developed. The model aims to minimize the travel time of passengers and minimize the number of vehicles used in the network. To solve the model belongs to a NP-Hard problem and is intractable due to the high complexity and strict constraints. In order to obtain the better network schemes, a multi-population genetic algorithm is proposed based on NSGA-II framework. With the algorithm, network generation, mode choice, demand assignment, and frequency setting are all integrated to be solved. The effectiveness of the algorithm which includes the high global convergence and the applicability for the problem is verified by comparison with previous works and calculation of a real-size case. The model and algorithm can be used to provide candidates for the sustainable policy formulation of urban transit network scheme.

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A new transit network design study in consideration of transfer time composition

Cited by 42 publications

References 18 publications

Analyzing Transfer Commuting Attitudes Using a Market Segmentation Approach

Analyzing Transfer Commuting Attitudes Using a Market Segmentation Approach

Routing for Hazardous Materials Transportation in Urban Areas

An Improved NSGA-II Algorithm for Transit Network Design and Frequency Setting Problem

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