Analysis of Determinant Factors of Operational Efficiency of Mass Transportation Modes and Their Implications for Social Welfare (Case Study of Urban Transport Networks) Article Swipe
The operational efficiency of mass transportation is a critical factor in urban mobility, with significant implications for social welfare. However, many cities in developing countries face challenges in achieving optimal efficiency, impacting service quality and community accessibility. This study aims to analyze the determinant factors of operational efficiency in urban mass transportation modes and examine their implications for social welfare in the context of Indonesian cities. Employing a quantitative approach, this research utilized Data Envelopment Analysis (DEA) and multiple regression methods to evaluate 15 urban transportation corridors across Jakarta, Surabaya, and Bandung during the 2022-2024 period. Data were collected through direct observation, surveys of 1,200 passengers, and in-depth interviews with operators and regulators. The analysis revealed that service frequency, load factor ratio, and fleet quality are the dominant factors affecting operational efficiency, collectively contributing 68.4% to efficiency variations. Operational efficiency demonstrated a strong positive correlation with accessibility for low-income populations (r=0.742) and contributed to reducing household transportation costs by up to 23.6%. Furthermore, efficient corridors showed significantly lower carbon emissions (0.68 kg CO? per passenger-km) compared to inefficient corridors. The findings underscore the crucial relationship between transportation operational efficiency and social welfare outcomes. To maximize both efficiency and social benefits, policymakers should prioritize fleet modernization, optimize operational schedules, and enhance system integration through coordinated tariff structures and infrastructure development.
Related Topics
Concepts
Data envelopment analysis
Context (archaeology)
Operational efficiency
Environmental economics
Tariff
Welfare
Public transport
Social Welfare
Business
Quality (philosophy)
Public economics
Level of service
Transport engineering
Service quality
Transportation planning
Economic efficiency
Service (business)
Economics
Indonesian
Regression analysis
Estimation
Urban area
Quantitative analysis (chemistry)
Efficiency
Sustainable transport
Metadata
- Type
- article
- Landing Page
- https://doi.org/10.57185/4b4v4426
- https://jetbis.al-makkipublisher.com/index.php/al/article/download/273/369
- OA Status
- diamond
- OpenAlex ID
- https://openalex.org/W7106480711
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W7106480711Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.57185/4b4v4426Digital Object Identifier
- Title
-
Analysis of Determinant Factors of Operational Efficiency of Mass Transportation Modes and Their Implications for Social Welfare (Case Study of Urban Transport Networks)Work title
- Type
-
articleOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-21Full publication date if available
- Authors
-
Dwi Winahyo SutrisnaList of authors in order
- Landing page
-
https://doi.org/10.57185/4b4v4426Publisher landing page
- PDF URL
-
https://jetbis.al-makkipublisher.com/index.php/al/article/download/273/369Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://jetbis.al-makkipublisher.com/index.php/al/article/download/273/369Direct OA link when available
- Concepts
-
Data envelopment analysis, Context (archaeology), Operational efficiency, Environmental economics, Tariff, Welfare, Public transport, Social Welfare, Business, Quality (philosophy), Public economics, Level of service, Transport engineering, Service quality, Transportation planning, Economic efficiency, Service (business), Economics, Indonesian, Regression analysis, Estimation, Urban area, Quantitative analysis (chemistry), Efficiency, Sustainable transportTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
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| abstract_inverted_index.operational | 1, 46, 130, 187, 206 |
| abstract_inverted_index.passengers, | 105 |
| abstract_inverted_index.populations | 149 |
| abstract_inverted_index.regulators. | 112 |
| abstract_inverted_index.significant | 14 |
| abstract_inverted_index.variations. | 137 |
| abstract_inverted_index.Furthermore, | 162 |
| abstract_inverted_index.collectively | 132 |
| abstract_inverted_index.contributing | 133 |
| abstract_inverted_index.demonstrated | 140 |
| abstract_inverted_index.development. | 218 |
| abstract_inverted_index.implications | 15, 56 |
| abstract_inverted_index.observation, | 101 |
| abstract_inverted_index.policymakers | 200 |
| abstract_inverted_index.quantitative | 68 |
| abstract_inverted_index.relationship | 184 |
| abstract_inverted_index.accessibility | 146 |
| abstract_inverted_index.passenger-km) | 174 |
| abstract_inverted_index.significantly | 166 |
| abstract_inverted_index.accessibility. | 36 |
| abstract_inverted_index.infrastructure | 217 |
| abstract_inverted_index.modernization, | 204 |
| abstract_inverted_index.transportation | 5, 51, 85, 156, 186 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 1 |
| citation_normalized_percentile |