Work

Predictive Modeling for Bike Rental Demand: Enhancing Operational Efficiency and User Satisfaction in Urban Mobility

Year: 2024

Type: article

Abstract: This project focuses on developing a predictive model to forecast bike rental demand by analyzing historical rental data, weather information, and temporal variables. The model will employ machine learning techniques, such as regression analysis, time series forecasting, and ensemble methods, to capture the complex relationships between these factors and rental demand.

Source: International Journal For Multidisciplinary Research

DOI: 10.36948/ijfmr.2024.v06i06.30486

Authors: Swapnil Chaurey -, Shreyash Jodhe -, Priyanshu Yawalkar -, Sufiyan Sheikh -, Rohan Mahajan -, Mrs.Kamal.S.Chandwani -

Language: English

Topic: Urban Transport and Accessibility

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4404281374

FWCI:

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