Multi-source big data fusion analysis-based public transportation preferential scheme evaluation method and system for old people

Abstract

The invention discloses an old people public transportation preferential scheme evaluation method and system based on multi-source big data fusion analysis. The method comprises analyzing bus travel characteristics of old passengers through multi-source big data fusion, evaluating passenger flow, financial expenditure and bus enterprise income of different preferential schemes, and pre-judging before preferential policy adjustment. The method comprises the steps: multi-source big data such as bus IC card data and bus GPS data are collected; the data is processed through the steps of data screening, data processing, data fusion and the like; main characteristic indexes are extracted through data mining analysis; several public transportation preferential schemes for old people are provided; a passenger flow calculation model is establishied and the public transport passenger flow of the old people of different preferential schemes is claculated a financial expenditure calculation model is established and government financial expenditure of different preferential schemes is calculated; finally, a public transportation enterprise income calculation model is constructed, and the public transportation enterprise incomes of different preferential schemes is calculated. The method is simple, practical and high in operability and effectiveness.

Description

technical field [0001] The invention belongs to the field of urban traffic planning, in particular to a method and system for evaluating preferential plans of public transport for the elderly based on multi-source big data fusion analysis. Background technique [0002] Urban public transport is a public welfare undertaking and a major livelihood project that provides basic travel services for the public. In recent years, the state and various provinces and cities have issued a number of policies to support the priority development of urban public transportation. And the "Guiding Opinions of the State Council on Prioritizing the Development of Public Transportation in Cities" (Guo Fa [2012] No. 64), emphasizing the public welfare and priority development of public transportation, and proposes the establishment of a multi-level differentiated price system to enhance the attractiveness of public transportation. In order to reflect the public welfare of urban public transport, ...

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Problems solved by technology

[0003] In the past, researchers mostly relied on traditional statistical data such as bus passenger flow and financial subsidy expenditures of the elderly to conduct relevant analysis. In-depth excavation and analysis of people's bus travel behavior, and no calculation model for the impact of the adjustment of the elderly bus preferential policy on the elderly bus passenger flow, financial subsidies, and bus company income, so it is impossible to estimate the possible impact of policy adjustments. pre-analysis

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