Key Performance Indicators for Evaluating Electric Buses in Public Transport Operations
Abstract
1. Introduction
1.1. Backgrounds
1.2. Research Gap
2. Existing Evaluation Indicators and Methods for Electric Buses
2.1. Recent Standards for Electric Buses
2.2. Recent Research Methods
2.3. Research on Efficiency and Cost
3. Indicators for Analyzing the Operational and Technical Characteristics of Electric Buses
3.1. Operational Characteristics of Electric Buses
3.1.1. Safety Requirements
3.1.2. Reliability Requirements
3.1.3. Economic Requirements
3.1.4. Environmental Requirements
3.1.5. Convenience and Comfort
- Low-floor design [31]: minimizing obstacles to boarding and disembarking.
- Seamless and tranquil journey: improved comfort.
3.2. Analysis of the Technical Specifications of Electric Buses
3.2.1. High Efficiency
3.2.2. Better Performance in Acceleration
3.2.3. Advantageous Low-Velocity Performance Criterion
3.2.4. Wading Skills
- Water-resistant capability
- Tire efficacy and optimal braking
- Cognitive surveillance and security
3.2.5. Environmental Benefits
3.3. Technological Deficiency
3.3.1. Lower Range
3.3.2. Longer Charging Time
4. Development of an Evaluation Indicator System for Electric Buses in Public Transportation
4.1. Principles for Constructing the Indicator System
4.2. Development of Evaluation Indicators
- Clarity and accessibility: The questions were expressed in clear language and organized into coherent sections to minimize response fatigue.
- The survey’s content validity was confirmed by its basis in the existing literature on passenger satisfaction, environmental behavior, and transit service assessment, thereby encompassing all the critical domains.
- User-centric insight: Various factors pertaining to subjective views on electric buses (for example, ride comfort, noise levels, and air conditioning effectiveness) cannot be easily evaluated through technical analysis alone.
- The scalability of data: The incorporation of both closed-ended and open-ended questions enabled the acquisition of quantitative and qualitative data.
- Essential demographics: age, profession, geographic region.
- Current usage patterns: trip purposes, frequency and temporal context.
- Determinants affecting service preference: timeliness, comfort and ecological factors.
- Evaluation and analysis of electric buses: satisfaction levels, drawbacks, willingness to incur further expenses and suggestions.
4.3. Survey Process
- Do the chosen assessment indicators correspond to the preferences and requirements of passengers and operators?
- In what manner do the survey findings endorse the implementation of electric buses as a sustainable transportation alternative?
4.4. Practical Calculation of Evaluation Indicators
5. Key Indicators
5.1. Mechanical Indicators
- Design of Vehicle Bodies (Double/Single Decker, Articulated Buses)
- Energy Type (Electric vs. Diesel)
- Noise, Vibration, and Harshness (NVH)
- Battery Systems
5.2. Operational Indicators
- Required infrastructure
- Passenger capacity
- Cost
- Charging time and range
- Maintenance and service
5.3. Bus Transportation System Indicators
- Passenger demand
- Existing bus fleet
- Routes
- Grid impact
- Operating and charging opportunities
- Scheduling of the vehicles
5.4. Final Results
6. Results and Discussions
7. Conclusions
- Anchoring the KPI selection in public acceptability to augment the social legitimacy of forthcoming judgements.
- Discovering implicit factors frequently omitted in conventional MCDA—such as the safety perception and readiness to invest in environmental advantages.
- Offering a reproducible mechanism for transportation agencies to revise indicator sets in accordance with changing user preferences.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Indicator Category | Example Indicators | Calculation |
---|---|---|
Vehicle body | Structural type, travel partied of respondents based on survey. | |
Mechanical indicators | Energy type | Electric/diesel/hybrid, vehicle preferences from survey. |
NVH | User feedback. | |
Battery system | Battery capacity (kWh), type (Li-ion, LFP, etc.). | |
Required infrastructure | Number/type of charging stations. | |
Passenger capacity | Official specifications | |
Cost | Life-cycle cost analysis. | |
Operational indicators | Charging time | Time to full charge under standard power (kW), driver feedback. |
Range | Max distance per full charge, driver’s feedback. | |
Maintenance and service | Annual maintenance cost or downtime hours, driver feedback. | |
Energy consumption | kWh/km from operation logs/simulation. | |
Passenger demand | Daily operational data or estimated peak load, can be analysis from the survey. | |
Existing bus fleet | Inventory data from transit agency. | |
Routes | Number of lines served, route lengths, frequency, user feedback. | |
Bus transportation system indicators | Grid impact | Estimated peak load per depot; assessed via power demand modeling. |
Operating and charging opportunities | Availability of time/space for mid-route charging. | |
Scheduling of the vehicles | Headway times, timetable optimization data. | |
Charging time | Time to full charge under standard power (kW), driver feedback. | |
Reliability | Mean time between failures, driver feedback. |
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Li, X.; Horváth, B.; Winkler, Á. Key Performance Indicators for Evaluating Electric Buses in Public Transport Operations. Vehicles 2025, 7, 58. https://doi.org/10.3390/vehicles7020058
Li X, Horváth B, Winkler Á. Key Performance Indicators for Evaluating Electric Buses in Public Transport Operations. Vehicles. 2025; 7(2):58. https://doi.org/10.3390/vehicles7020058
Chicago/Turabian StyleLi, Xiao, Balázs Horváth, and Ágoston Winkler. 2025. "Key Performance Indicators for Evaluating Electric Buses in Public Transport Operations" Vehicles 7, no. 2: 58. https://doi.org/10.3390/vehicles7020058
APA StyleLi, X., Horváth, B., & Winkler, Á. (2025). Key Performance Indicators for Evaluating Electric Buses in Public Transport Operations. Vehicles, 7(2), 58. https://doi.org/10.3390/vehicles7020058