Multivariate data-based urban bus transportation service index construction method

Abstract

The invention provides a multivariate data-based urban bus transportation service index construction method. The method includes the following steps that: data are acquired, a transport speed, vehiclehead time interval stability, a full load rate, a station coverage rate, grid line density and passenger satisfaction are calculated separately; 2, indexes in different items are calculated: a rapidity index is calculated according to the transport speed, a reliability index is calculated according to the vehicle head time interval stability, comfort performance is calculated according to the full load rate, a convenience index is calculated according to the station coverage rate and the grid line density, and a passenger feeling index is calculated according to the passenger satisfaction; and 3, urban bus transportation service index calculation is performed: the weight coefficient of each index is calculated on the basis of an analytic hierarchy process weight calculation method, and anurban bus transportation service index is calculated according to a formula described in the descriptions of the invention. According to the multivariate data-based urban bus traffic service index construction method of the invention, the service level of bus transportation is monitored from a plurality of dimensions and in a plurality of scales, and supervision capacity and scientific decision-making capacity related to bus transportation can be improved.

Description

technical field [0001] The invention relates to a construction method of urban bus traffic service index based on multivariate data, which belongs to the field of intelligent traffic. Background technique [0002] As the main way of daily travel, bus transportation plays an important role in the entire transportation system and is an important means to improve the traffic operation conditions. In 2012, with the proposal and implementation of the "Public Transport Priority" policy, bus transportation has developed in an all-round way in terms of infrastructure construction, operation management, and functional supervision. Under the guidance of the "public transportation priority" strategy, it has become a top priority to strengthen the regulatory capacity of the public transportation industry, improve the service level of public transportation, increase the attractiveness of public transportation, and promote the healthy development of cities. [0003] The urban bus traffic...

AI Technical Summary

Problems solved by technology

[0004] 1) In the existing evaluation methods, the data source is single, only static basic data or dynamic data are considered, and there is a lack of integration of bus traffic-related basic data and bus traffic real-time data, resulting in inconsistent evaluation results of bus traffic service levels. precise

[0005] 2) The previous evaluation methods only calculate from the perspective of objective reality, without considering the subjective feelings of passengers, and cannot evaluate bus traffic from the perspective of public transport users, resulting in the evaluation method being too one-sided and not suitable for bus traffic Comprehensive evaluation of service level

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