Public transit has a significant impact on minimising traffic congestion and reducing the cost of travelling in urban areas. It is necessary to evaluate the efficiency of the public transit operation in response to the individual traveller's demands for transit. This study aims to analyse the demand for transit with overlapping origin–destination (OD) pairs to enhance the efficiency of transit operations. To achieve this, disaggregated-level travel demand data, i.e. individual traveller's data are collected from an automatic fare collection system called smart card. The Kneedle algorithm is used to calculate the knee point of travel demand. The overlapping OD pairs, which are higher than the knee point value, are calculated and displayed in a map format. On the basis of the overlapping OD pairs, the demand-based overlap index for each bus route is defined to evaluate the efficiency of bus operations. The proposed method is applied to six districts with higher transit demands than other districts in Seoul. On the basis of the results, discussion on the action plans to enhance the efficiency of bus operations are presented. The method proposed in this study contributes to improving the efficiency of the bus system by reflecting individual users’ travel demands.
Analysis of overlapping origin–destination pairs between bus stations to enhance the efficiency of bus operations
IET Intelligent Transport Systems ; 14 , 6 ; 545-553
2020-03-27
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
individual users , urban areas , overlapping origin–destination pairs , transportation , bus operations , smart cards , bus route , individual traveller , bus system , minimisation , public transit operation , knee point value , road traffic , demand-based overlap index , traffic engineering computing , higher transit demands , disaggregated-level travel demand data , OD pairs , bus stations , automatic fare collection system , traffic congestion , transit operations
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