Sustainable urban transit network design

2015 ◽  
Vol 77 ◽  
pp. 276-291 ◽  
Author(s):  
Moschoula Pternea ◽  
Konstantinos Kepaptsoglou ◽  
Matthew G. Karlaftis
Keyword(s):  
Network Design ◽  
Urban Transit ◽  
Transit Network ◽  
Transit Network Design

scholarly journals Regularity analysis for optimizing urban transit network design

2009 ◽  
Vol 1 (2) ◽  
pp. 155-168 ◽  
Author(s):  
Niels van Oort ◽  
Rob van Nes
Keyword(s):  
Network Design ◽  
Urban Transit ◽  
Transit Network ◽  
Transit Network Design

Importance of Objectives in Urban Transit-Network Design

2000 ◽  
Vol 1735 (1) ◽  
pp. 25-34 ◽  
Author(s):  
R. van Nes ◽  
P.H.L. Bovy
Keyword(s):  
Network Design ◽  
Travel Time ◽  
Analytical Models ◽  
Urban Transit ◽  
Transit Network ◽  
Transit Networks ◽  
Design Variables ◽  
Line Spacing ◽  
Transit Network Design ◽  
Stop Spacing

Stop spacing and line spacing are key design variables in urban transit-network design. They determine both the travel time and the operational costs. It is therefore essential to know what the main relationships are for these design variables. The question is, What are the optimal values for stop spacing and for line spacing in urban transit networks, given traveler preferences and supply-budget constraints? Possible objectives are discussed and analyzed using analytical models. The results of these analytical models for two typical city types are analyzed by comparing performance characteristics (i.e., travel time, operator costs, and patronage). Modeling outcomes are compared with actual data for urban transit networks in Europe. A supplemental analysis is made of the impact of considering different traveler groups. It was found that although many objectives may be formulated, only a few objectives are suitable for transit-network design. Currently applied stop spacings prove to be too short. Focusing the design to specific traveler groups might lead to a variation of stop spacing and line spacing ranging from −12 percent to +13 percent at most. Recommendations for urban transit-network design and for further research are given.

scholarly journals Hybrid Differential Evolution-Particle Swarm Optimization Algorithm for Multiobjective Urban Transit Network Design Problem with Homogeneous Buses

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Ahmed Tarajo Buba ◽  
Lai Soon Lee
Keyword(s):  
Particle Swarm Optimization ◽  
Differential Evolution ◽  
Network Design ◽  
Design Problem ◽  
Hybrid Algorithm ◽  
Network Design Problem ◽  
Urban Transit ◽  
Swarm Optimization ◽  
Transit Network ◽  
Transit Network Design

This paper considers an urban transit network design problem (UTNDP) that deals with construction of an efficient set of transit routes and associated service frequencies on an existing road network. The UTNDP is an NP-hard problem, characterized by a huge search space, multiobjective nature, and multiple constraints in which the evaluation of candidate route sets can be both time consuming and challenging. This paper proposes a hybrid differential evolution with particle swarm optimization (DE-PSO) algorithm to solve the UTNDP, aiming to simultaneously optimize route configuration and service frequency with specific objectives in minimizing both the passengers’ and operators’ costs. Computational experiments are conducted based on the well-known benchmark data of Mandl’s Swiss network and a large dataset of the public transport system of Rivera City, Northern Uruguay. The computational results of the proposed hybrid algorithm improve over the benchmark obtained in most of the previous studies. From the perspective of multiobjective optimization, the proposed hybrid algorithm is able to produce a diverse set of nondominated solutions, given the passengers’ and operators’ costs are conflicting objectives.

Multiuser-Class Urban Transit Network Design

2003 ◽  
Vol 1835 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Rob van Nes
Keyword(s):  
Network Design ◽  
Travel Behavior ◽  
Consumer Surplus ◽  
Urban Transit ◽  
Transit Network ◽  
Transit Networks ◽  
Optimal Network Design ◽  
Realistic Description ◽  
Design Characteristics ◽  
Transit Network Design

In transit network design it is common to use characteristics of the average traveler to describe travel behavior, while in reality different traveler groups can be distinguished that react differently with respect to transport service quality. A study is conducted of the possible consequences of basing the design of urban transit networks on the preferences of specific traveler groups. To that end, an analytical network optimization model is developed that considers a mix of different traveler groups simultaneously. Results from the analyses show that focusing on specific traveler groups leads to clearly different network design characteristics. However, the optimal network design developed for the average traveler proved to be the best network for all traveler groups. Furthermore, it was found that focusing on traveler groups having good transport alternatives led to very low values of consumer surplus and social welfare. Optimizing transit networks while considering different traveler groups simultaneously results in networks that are similar to those using the traditional single-user-class approach based on the average traveler. Differences in preferences for traveler groups are balanced by the size of the resulting transit patronage. Apparently, a more realistic description of the demand side is not essential for urban transit network design.

scholarly journals Urban transit network design formalization

2014 ◽  
Vol 6 (6) ◽  
Author(s):  
Yulia Martynova ◽  
Yaroslav Martynov
Keyword(s):  
Network Design ◽  
Urban Transit ◽  
Transit Network ◽  
Transit Network Design
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