An Approach to Analyze Commuters’ Transfer Characteristics on the Public Transportation Network in an Incomplete Data Environment

Author(s):  
Shichao Sun
2013 ◽  
Vol 790 ◽  
pp. 484-487 ◽  
Author(s):  
Ling Hong ◽  
Si Yuan Qu

As there are uncertainties in the public transportation network optimization evaluation process, many existing methods cannot simultaneously describe the uncertainties in different types and therefore will result in an un-objective reflection of the actual problem. In this paper set-pair and entropy analysis is used to analyze the internal connections of the system globally and locally. This model which is simple in calculation and easy to use has theoretical and practical values for new ideas and methods of uncertainty analysis of the public transportation network optimization.


2015 ◽  
Vol 69 (1) ◽  
pp. 197-210 ◽  
Author(s):  
Hamed Faroqi ◽  
Mohammad saadi Mesgari

Routing in a multimodal urban public transportation network, according to the user's preferences, can be considered as a multi-objective optimisation problem. Solving this problem is a complicated task due to the different and incompatible objective functions, various modes in the network, and the large size of the network. In this research, two optimisation algorithms are considered for solving this problem. The multi-colony and multi-pheromone Ant Colony Optimisation (ACO) algorithms are two different modes of the Multi-Objective ACO (MOACO) algorithm. Moreover, according to the acquired information, the algorithms implemented in the public transportation network of Tehran consist of four modes. In addition, three objective functions have been simultaneously considered as the problem's objectives. The algorithms are run with different initial parameters and afterwards, the results are compared and evaluated based on the different obtained routes and with the aid of the convergence and repeatability tests, diversity and convergence metrics.


Author(s):  
ChongLing Wong

<p>Malaysia’s capital city Kuala Lumpur has been experiencing urbanization growth spurts in the last two decades, in tandem with her rapid economic expansion and progress towards a developed nation. Trailing this economic trend is the need to improve and expand public transportation, particularly in the railway sector. The Klang Valley Mass Rapid Transit (KVMRT) rail transit system was conceived to meet that need and complement the existing public transportation network.</p><p>The first KVMRT metro line commonly known as the SBK line which connects Sg Buloh township in the northern-west and Kajang in the southern-east, was delivered and fully opened to the public ahead of schedule on 17 July 2017. The success of the project was achieved through significant efforts in surmounting many challenges in different aspects. This paper shares the experiences from the perspective of the Project Delivery Partner (PDP) in the planning, design and construction of the viaducts and station structures.</p>


2019 ◽  
Vol 11 (7) ◽  
pp. 2007 ◽  
Author(s):  
Guo-Ling Jia ◽  
Rong-Guo Ma ◽  
Zhi-Hua Hu

Urban public transportation contributes greatly to sustainable urban development. An urban public transportation network is a complex system. It is meaningful for theory and practice to analyze the topological structure of an urban public transportation network and explore the spatial structure of an urban transportation network so as to mitigate and prevent traffic congestion and achieve sustainability. By examining the Xi’an bus network, the degree distribution, average path length, aggregation coefficient, and betweenness centrality of the bus station network were computed using models in complex network theory. The results show that the node degrees of the Xi’an bus network are unevenly distributed and present a polarization diagram with long average path length and high aggregation. A model based on betweenness and its solution method was developed to improve the public transportation network’s sustainability and discuss the possibility of optimizing the sustainability by network analyzing methods.


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