Transport network downsizing based on optimal sub-network  

作　　者：Matthieu Guillot Angelo Furno El-Houssaine Aghezzaf Nour-Eddin El Faouzi 

机构地区：[1]Univ Gustave Eiffel,Univ Lyon,ENTPE,LICIT,F-69518,Lyon,France [2]Department of Industrial Systems Engineering and Product Design,Faculty of Engineering and Architecture,Ghent University,Ghent,Belgium [3]Industrial Systems Engineering(ISyE),Flanders Make,Lommel,Belgium

出　　处：《Communications in Transportation Research》2022年第1期317-332,共16页交通研究通讯（英文）

基　　金：supported by the Smart Lab LABILITY of the University Gustave Eiffel,funded by the Region Ile de France(Grant No.20012741);by the French ANR research project PROMENADE(Grant No.ANR-18-CE22-0008).

摘　　要：Transportation networks are sized to efficiently achieve some set of service objectives.Under particular circumstances,such as the COVID-19 pandemic,the demand for transportation can significantly change,both qualitatively and quantitatively,resulting in an over-capacitated and less efficient network.In this paper,we address this issue by proposing a framework for resizing the network to efficiently cope with the new demand.The framework includes a model to determine an optimal transportation sub-network that guarantees the following:(i)the minimal access time from any node of the urban network to the new sub-network has not excessively increased compared to that of the original transportation network;(ii)the delay induced on any itinerary by the removal of nodes from the original transportation network has not excessively increased;and(iii)the number of removed nodes from the transportation network is within a preset known factor.A solution is optimal if it induces a minimal global delay.We modelled this problem as a Mixed Integer Linear Program and applied it to the public bus transportation network of Lyon,France,in a case study.In order to respond to operational issues,the framework also includes a decision tool that helps the network planners to decide which bus lines to close and which ones to leave open according to specific trade-off preferences.The results on real data in Lyon show that the optimal sub-network from the MILP model can be used to feed the decision tool,leading to operational scenarios for network planners.

关 键 词：Public transportation network Linear programming Decision tool Downsizing networks Case study 

分 类 号：U495[交通运输工程—交通运输规划与管理]