Year: 2025
Type: article
Study design: Observational Study
Abstract: Purpose: This study examines the impact of ride-hailing services and the digital platform economy on urban mobility in Pampanga, Philippines, focusing on the residents of Angeles City, Mabalacat City, and San Fernando City. The research aims to assess how these services affect accessibility, convenience, and commuting efficiency in the region, considering factors like transportation accessibility, demographic trends, and the increasing preference for on-demand services. Methodology: Data was collected through an online survey targeting residents of the three cities. Statistical methods, including logistic regression, Exploratory Factor Analysis (EFA), and Confirmatory Factor Analysis (CFA), were used to analyze the data and identify key factors influencing urban mobility patterns and the impact of ride-hailing services. Findings: The study revealed that ride-hailing services significantly improved urban mobility in terms of accessibility, convenience, and commuting efficiency. Key factors influencing these changes include enhanced transportation accessibility, demographic trends, and a growing demand for on-demand services. However, challenges persist, such as safety and privacy concerns, as well as the need for improvements in the quality of public transportation. Unique contribution to theory, practice, and policy: The study contributes to urban mobility theory by exploring the intersection of digital platform economies and transportation systems in emerging cities. Practically, it highlights the importance of integrating ride-hailing services with public transport systems to create a more efficient and sustainable urban mobility framework. Policymakers are encouraged to address safety and privacy issues, invest in infrastructure improvements, and create policies that integrate ride-hailing services into the broader public transport ecosystem to ensure equitable access and long-term sustainability.
DOI: 10.47941/jts.2506
Institution: University of Santo Tomas
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407264959