Economic and Social Impacts of the Public Transport Routing Ordinance in Biliran Province: Evidence from Passengers and Tricycle Drivers

Published: 13 July 2026| Version 1 | DOI: 10.17632/hzp793ytfk.1
Contributor:

Description

This study examined the economic and social impacts of the public transport routing ordinance in Biliran Province from the perspectives of 300 passengers and 150 tricycle drivers, for a total of 450 respondents. The study was guided by the hypothesis that the implementation of the public transport routing ordinance has significant economic and social effects on both stakeholder groups and that differences exist between the perceptions of passengers and tricycle drivers. Quantitative data were collected using a structured, researcher-developed questionnaire composed of demographic information, economic impact indicators, and social impact indicators measured using a five-point Likert scale. Qualitative data were obtained through semi-structured interviews with selected passengers, tricycle drivers, transport association representatives, and local transport officials to gain deeper insights into their experiences, challenges, and recommendations regarding the ordinance. The quantitative data were analyzed using frequency and percentage distributions, mean, standard deviation, independent samples t-test, one-way analysis of variance (ANOVA), and correlation analysis. Interview responses were analyzed using thematic analysis to identify recurring themes and patterns. The findings indicate that the routing ordinance has measurable effects on both passengers and tricycle drivers. Passengers primarily experienced impacts related to transportation expenses, accessibility, convenience, and travel burden, while tricycle drivers reported effects on income stability, passenger volume, operational expenses, and livelihood conditions. Comparative analysis showed significant differences between the perceptions of passengers and drivers regarding the economic impacts of the ordinance, whereas perceptions of the social impacts were generally similar. The qualitative findings further emphasized the importance of stakeholder consultation, fair policy implementation, and periodic evaluation of transport routes. The dataset may be used by researchers, local government units, transportation planners, and policymakers to evaluate local transport regulations, compare transportation policies across municipalities, support evidence-based transportation planning, and develop stakeholder-centered transport governance strategies in rural communities.

Files

Steps to reproduce

The dataset was produced using a mixed-methods research design, combining quantitative surveys and qualitative interviews to evaluate the economic and social impacts of the public transport routing ordinance in Biliran Province, Philippines. The study was conducted in the municipalities of Naval, Almeria, and Kawayan, where the routing ordinance directly affects tricycle operations. The respondents comprised 300 passengers who regularly use tricycle services and 150 tricycle drivers affiliated with local Transport Operators and Drivers' Associations (TODAs), for a total of 450 respondents. Participants were selected using stratified random sampling for the survey, while purposive sampling was used to select interview participants, including passengers, tricycle drivers, TODA representatives, and local transport officials. Quantitative data were collected using a researcher-developed questionnaire validated by experts in transportation, public policy, and research methodology. The questionnaire included demographic information and indicators measuring the economic and social impacts of the routing ordinance, rated on a five-point Likert scale. Qualitative data were gathered through semi-structured interviews to obtain participants' experiences, challenges, and recommendations regarding the ordinance. The collected survey data were encoded and analyzed using IBM SPSS Statistics (Version 27 or later). Descriptive statistics (frequency, percentage, mean, and standard deviation) were used to summarize the data, while inferential statistics, including independent samples t-test, one-way ANOVA, and Pearson correlation analysis, were used to examine differences and relationships among variables. Interview responses were transcribed, coded, and analyzed using thematic analysis to identify recurring themes and patterns.

Institutions

Categories

Social Sciences, Economics, Public Administration, Transportation Economics, Public Policy, Stakeholder Engagement, Road Transportation

Licence