Urban ground bus operation monitoring key index screening method based on passenger travel

Abstract

The invention provides an urban ground bus operation monitoring key index screening method based on passenger travel, and the method comprises the steps: carrying out the analysis of the composition and initial indexes of an urban ground bus operation monitoring system, and carrying out the analysis of the composition and main body of the urban ground bus operation monitoring system, analyzing factors influencing bus passenger travel selection, and then generating an initial index set of urban ground bus operation monitoring; carrying out quantitative analysis on the initial index set of urbanground bus operation monitoring; respectively carrying out data processing and computational analysis on the two indexes to respectively obtain an objective index analysis result and a subjective index analysis result; and integrating the objective index analysis result and the subjective index analysis result in-case data, constructing a cumulative foreground theoretical model, then constructingan urban ground bus operation monitoring key index determination model based on feature engineering, taking calculation values of various indexes as model input, and taking steady-state passenger flow of a bus interval as output.

Description

technical field [0001] The invention relates to the technical field of urban transportation, in particular to a method for screening key indicators of urban ground bus operation monitoring based on passenger travel. Background technique [0002] The determination of key indicators for urban ground bus operation monitoring is conducive to bus operators to discover their own deficiencies, and to provide a strong starting point for bus operators to adjust their operations, thereby improving the efficiency of bus operations, improving the service level and attractiveness of buses, and is conducive to Alleviate traffic congestion. On the other hand, the public transport financial subsidy resources provided by the government can be rationally allocated according to the key indicators of public transport operation services, so as to achieve a reasonable allocation of resources, reconcile the contradiction between the government and the public transport operating enterprises on supe...

AI Technical Summary

Problems solved by technology

[0005] 1. The currently proposed ground bus service monitoring index system is huge and complicated, lacking focus, high cost, long process and poor effect in implementation

[0006] 2. Relevant ground bus service monitoring indicators are mostly determined by experience and are highly subjective. Most of the proposed monitoring indicators are qualitative indicators, which are difficult to quantify and difficult to implement. There may be indicators in the indicator system that are not related to improving passenger travel experience, resulting in Low regulatory efficiency and limited regulatory effect

[0007] 3. The existing index system fails to conduct research on key indicators from the application scenarios at the micro level, does not distinguish between different application scenarios, and fails to meet the dynamic and scalability requirements of urban ground bus operation monitoring

Difficult to combine with actual regulatory work, lack of guiding value

[0008] 4. Previous studies mostly used discrete choice models, logit models, probit models, and structural equation models. All of the above are parametric methods, and the relationship between variables needs to be set in advance, so the applicability is not strong

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