Route Design Model of Multiple Feeder Bus Service Based on Existing Bus Lines
The feeder bus, as an important component of urban public transportation systems, is capable of filling the existing service gap left by urban rail transit to satisfy feeder demand. Two challenges to taking advantage of the feeder bus are identified. The first challenge is to identify the service ga...
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doaj-31558596d3b244a2a9ce077a550eccdf2020-12-21T11:41:25ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/88538728853872Route Design Model of Multiple Feeder Bus Service Based on Existing Bus LinesMeina Zheng0Runxuan Zhou1Shanshan Liu2Feng Liu3Xiucheng Guo4Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, ChinaJiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, ChinaJiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, ChinaSchool of Economics and Management, Southeast University, Nanjing 211189, ChinaJiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, ChinaThe feeder bus, as an important component of urban public transportation systems, is capable of filling the existing service gap left by urban rail transit to satisfy feeder demand. Two challenges to taking advantage of the feeder bus are identified. The first challenge is to identify the service gap, and the second one is to strengthen the coordination of multilevel urban traffic modes. Given these two challenges, this paper established a route design model that introduced a feeder bus demand coefficient to quantify feeder demand for each bus stop. To assist the design of feeder bus routes, an optimization approach based on the tabu search algorithm was proposed. Considering the sizeable combinational optimization problem, the algorithm decomposed this problem into three phases: feeder area partition, candidate stop selection, and route design problem. In the first phase, the entire area was partitioned into several subareas and the specific boundary nodes were moved into an adjacent subarea. Then, the stops with the minimum overall travel cost from every subarea were chosen as candidate ones under the limit of operating costs. The last step was to find the shortest circular route to visit each candidate stop and determine the operating direction. The proposed optimization had been implemented in a downtown area of Suzhou, China, in order to verify its effectiveness through the performance in terms of the quality of optimal solutions and computing efficiency. In addition, a possibility of simplifying a multiple circular route design problem to a single route design problem utilizing spatial clustering is provided to enhance the computing efficiency in a large-scale network.http://dx.doi.org/10.1155/2020/8853872 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Meina Zheng Runxuan Zhou Shanshan Liu Feng Liu Xiucheng Guo |
spellingShingle |
Meina Zheng Runxuan Zhou Shanshan Liu Feng Liu Xiucheng Guo Route Design Model of Multiple Feeder Bus Service Based on Existing Bus Lines Journal of Advanced Transportation |
author_facet |
Meina Zheng Runxuan Zhou Shanshan Liu Feng Liu Xiucheng Guo |
author_sort |
Meina Zheng |
title |
Route Design Model of Multiple Feeder Bus Service Based on Existing Bus Lines |
title_short |
Route Design Model of Multiple Feeder Bus Service Based on Existing Bus Lines |
title_full |
Route Design Model of Multiple Feeder Bus Service Based on Existing Bus Lines |
title_fullStr |
Route Design Model of Multiple Feeder Bus Service Based on Existing Bus Lines |
title_full_unstemmed |
Route Design Model of Multiple Feeder Bus Service Based on Existing Bus Lines |
title_sort |
route design model of multiple feeder bus service based on existing bus lines |
publisher |
Hindawi-Wiley |
series |
Journal of Advanced Transportation |
issn |
0197-6729 2042-3195 |
publishDate |
2020-01-01 |
description |
The feeder bus, as an important component of urban public transportation systems, is capable of filling the existing service gap left by urban rail transit to satisfy feeder demand. Two challenges to taking advantage of the feeder bus are identified. The first challenge is to identify the service gap, and the second one is to strengthen the coordination of multilevel urban traffic modes. Given these two challenges, this paper established a route design model that introduced a feeder bus demand coefficient to quantify feeder demand for each bus stop. To assist the design of feeder bus routes, an optimization approach based on the tabu search algorithm was proposed. Considering the sizeable combinational optimization problem, the algorithm decomposed this problem into three phases: feeder area partition, candidate stop selection, and route design problem. In the first phase, the entire area was partitioned into several subareas and the specific boundary nodes were moved into an adjacent subarea. Then, the stops with the minimum overall travel cost from every subarea were chosen as candidate ones under the limit of operating costs. The last step was to find the shortest circular route to visit each candidate stop and determine the operating direction. The proposed optimization had been implemented in a downtown area of Suzhou, China, in order to verify its effectiveness through the performance in terms of the quality of optimal solutions and computing efficiency. In addition, a possibility of simplifying a multiple circular route design problem to a single route design problem utilizing spatial clustering is provided to enhance the computing efficiency in a large-scale network. |
url |
http://dx.doi.org/10.1155/2020/8853872 |
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