Abstract
In recent years, the construction and operation of urban subways have been gradually increasing in developing countries. In the next step, more attention should be paid to the transfer efficiency between subway and bus so as to improve the travel efficiency of more urban residents. This paper uses the probability credibility interval number ranking method to evaluate the bus transfer efficiency. Firstly, this study obtains the dynamic transfer time data by matching individual smart card and subway/bus global positioning system (GPS) records, which is used to evaluate the transfer efficiency of corresponding subway stations. Then, we establish a probability density function to represent the characteristic information of transfer time. Accordingly, the probability reliability model of the order relation of interval numbers can be constructed. In the end, the method is applied to evaluate the transfer efficiency between subway and bus stations in Ningbo. Compared to the traditional interval number ranking method, the evaluation result shows that this method can get a more objective transfer efficiency order relation. The reason is that this method can not only consider the random feature of transfer time but also make use of the data distribution characteristics. This method could be applied to obtain the stations with relatively low transfer efficiency and the feedback can be used for bus line operation and station layout improvement.
Highlights
More attention should be paid to the transfer efficiency between subway and bus so as to improve the travel efficiency of more urban residents. is paper uses the probability credibility interval number ranking method to evaluate the bus transfer efficiency
This study obtains the dynamic transfer time data by matching individual smart card and subway/bus global positioning system (GPS) records, which is used to evaluate the transfer efficiency of corresponding subway stations. en, we establish a probability density function to represent the characteristic information of transfer time
Compared to the traditional interval number ranking method, the evaluation result shows that this method can get a more objective transfer efficiency order relation. e reason is that this method can consider the random feature of transfer time and make use of the data distribution characteristics. is method could be applied to obtain the stations with relatively low transfer efficiency and the feedback can be used for bus line operation and station layout improvement
Summary
Evaluation of Transfer Efficiency between Subway and Bus Based on the Interval Number Ranking Method by Employing Probability Reliability: Taking Ningbo for Example. (1) As to any interval number ai, aj ∈ I, the necessary and sufficient condition of P(aj≻ai) ≥ 0.5 is that λj ≥ λi holds (2) If λi ≥ λj ≥ λk, λi ≥ λk According to these 2 inferences, we could conclude that the greater the sum of certain row’s elements of the complementary judgment matrix is, the more forward position the interval number will be, and the more transfer time passengers will spend in the corresponding subway station. Erefore, in this efficiency evaluation work, we use the interval number method based on the distribution patterns of these transfer times rather than the average value The average value can probably be affected by the difference of transfer time distribution of each station, so it may face a challenge in reflecting the typical transfer characteristics of corresponding stations accurately. erefore, in this efficiency evaluation work, we use the interval number method based on the distribution patterns of these transfer times rather than the average value
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