Work

Research on Interaction Effect Between Rural Roads and Peasants' Income Based on Granger Causality Test

Year: 2024

Type: article

Abstract: This study aims to address the lack of methods for adjusting the scale of online ride hailing capacity. Taking G city as an example, a dynamic monitoring index system for the scale of online ride hailing capacity is constructed by comprehensively considering factors such as order volume, driver labor hours and income levels, and the operation status of the taxi market. Pearson correlation analysis and stepwise linear regression methods are applied to screen the indicators, and key indicators and threshold standards for the dynamic adjustment mechanism of online ride hailing capacity are proposed, providing theoretical basis and decision support for the adjustment of urban online ride hailing capacity scale

Source: Advances in information management and economic development research.

DOI: 10.70114/aimedr.2024.1.1.p108

Authors: Yiyan Zhou, Rui Qiao

Institutions: Ministry of Transport, Research Institute of Highway

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities, Decent work and economic growth

Open Access status: hybrid

OpenAlex ID: W4404489528