Greener Public Rides Ahead 🌱

: ; ; ; ; ; ; ; ;

How a New Framework Could Transform Sustainable Public Transportation Quality in Cities

Published December 3, 2025 By EngiSphere Research Editors
Quality Assessment of Public Transportation © AI Illustration
Quality Assessment of Public Transportation © AI Illustration

TL;DR

The paper introduces a new sustainability- and Industry 4.0-enhanced service quality model that uses advanced decision-making methods to evaluate and rank public bus options in Izmir, revealing electric buses as the most sustainable and highest-quality choice.

Educative Simulator

How to use this simulator (based on the 2025 Sustainability paper):

  1. Move the sliders to set how important each dimension is to you (0 = not important at all → 10 = extremely important).
  2. Press “Simulate Ranking” to see how the five bus types used in Izmir (Electric, Hybrid, Diesel, Gasoline, CNG) rank under your preferences.
  3. Watch the bars update in real time — this is how multi-criteria decision-making (Bayesian BWM + Picture Fuzzy WASPAS) works in practice!

5

5

5

5

5

5

5

Breaking it Down

Public transportation is the lifeline of modern cities. 🚍🌆 It keeps people moving, reduces traffic, cuts emissions, and creates healthier urban environments. But how do we really know if a city’s transit system is performing well—especially in today’s era of sustainability and digitalization?

A new research study titled “Sustainable Public Transportation Service Quality Assessment by a Hybrid Bayesian BWM and Picture Fuzzy WASPAS Methodology: A Real Case in Izmir, Turkey” answers exactly that.

And wow—this work isn’t just another survey. It’s an ambitious attempt to reinvent how cities measure public transportation quality, bringing together sustainability, Industry 4.0 technologies, and advanced decision-making science. 🚌💡

🚦 Why Evaluate Public Transportation Quality?

Public transportation is more than buses and routes—it’s a system that affects:

♻️ Environmental sustainability
⏱️ Commuter efficiency
🧍‍♂️ Passenger comfort
🧑‍🦽 Accessibility
🤖 Digital innovation
💸 Economic viability

Cities like Izmir, Turkey, with millions of residents, rely heavily on buses. The local authority ESHOT runs around 2000 buses, including diesel, hybrid, gasoline, gas-powered, and increasingly—electric buses.

But with different technologies in the fleet, how do decision-makers know which bus type offers the best overall service quality?

That’s where this study comes in.

🆕 Introducing: SPT-SERVQUAL 4.0

A brand-new model combining Sustainability + Industry 4.0 + Classic SERVQUAL

Traditionally, transportation service quality has been evaluated using the SERVQUAL model—focusing on things like reliability, responsiveness, empathy, tangibles, and assurance.

But today’s public transit operates in a totally new landscape:

  • Smart buses with real-time tracking 📡
  • Digital payment systems 💳
  • IoT-enabled data analytics 📊
  • Zero-emission vehicles 🌍
  • Sustainability regulations and climate goals ♻️

So the authors expanded the classic model into something more modern and comprehensive:

🔥 SPT-SERVQUAL 4.0: A Three-Level, 6-Dimension Framework

It evaluates service quality under:

  • Tangibles (comfort, cleanliness, accessibility…)
  • Responsiveness (speed, availability…)
  • Assurance (safety, trained drivers…)
  • Reliability (punctuality, breakdowns…)
  • Digital Technology 🤖 (Industry 4.0, smart systems)
  • Sustainability 🌱 (environmental, economic, social impacts)

This huge structure includes:

  • 6 main criteria
  • 13 sub-criteria
  • 51 detailed Level-3 indicators

Imagine evaluating everything from bus seat comfort to carbon emissions to cybersecurity. That’s the level of depth here! 🧠🔍

🧮 How They Evaluate Buses

A Hybrid Decision-Making System Powered by Bayesian BWM + Picture Fuzzy WASPAS

Okay, the model is massive. But how do you actually calculate which bus is best?

They used a hybrid two-stage method:

📌 1. Bayesian Best–Worst Method (BWM)

Used to assign weights to all criteria.

Why Bayesian?

  • It handles uncertainty better than simple surveys.
  • It refines expert judgments even with ambiguity.
  • It ensures consistent, data-driven weighting.

Experts decide which criteria are the most and least important (the “best” and “worst” criteria), and the Bayesian model calculates precise weight values.

This generates a realistic hierarchy of importance—because obviously, safety is more critical than, say, website design.

📌 2. Picture Fuzzy WASPAS Method

This stage takes the weighted criteria and ranks the bus alternatives.

“Picture fuzzy sets” allow experts to express:

  • positive membership (yes)
  • neutral membership (maybe)
  • negative membership (no)
  • refusal (cannot judge)

This is more flexible than standard fuzzy logic and much more realistic for real-world evaluations, where people aren’t always 100% sure.

WASPAS (Weighted Aggregated Sum Product Assessment) then combines these into a final ranking.

🚌 The 5 Bus Alternatives Compared

In Izmir, the study compared:

  1. Electric buses ⚡
  2. Hybrid buses 🔋⛽
  3. Diesel buses 🛢️
  4. Gasoline buses ⛽
  5. Gas-powered (CNG) buses 🔥

So which one wins?

🏆 And the Winner Is… Electric Buses! ⚡💚

The final ranking clearly showed:

Electric buses offer the highest sustainable service quality overall.
—Study finding (Izmir case)

Here’s why electric buses stood out:

🌍 Environmental Superiority
  • Zero tailpipe emissions
  • Low noise pollution
  • Lower long-term energy consumption
⚙️ Industry 4.0 Compatibility
  • Modern systems integrate easily with IoT, AI, and real-time tracking
  • Often come with built-in sensors and digital dashboards
💺 Improved Tangible Experience
  • Smoother ride
  • Better acceleration on slopes
  • More comfort and cleanliness
💸 Economic Advantages (Long-Term)

Despite a potentially higher initial expenditure, these options generate savings in the form of:

  • energy
  • maintenance
  • lifespan efficiency
🛡️ Higher Reliability & Assurance
  • Less mechanical breakdown
  • Better performance consistency

The research shows that when cities consider all aspects—environment, digital integration, safety, comfort, and economics—electric buses simply outperform the others.

🔍 Deeper Insights: Which Criteria Matter Most?

Based on the Bayesian BWM analysis, certain factors consistently emerged as the most influential:

⭐ Highest-Weighted Areas
  • Safety & security (travel safety, emergency management)
  • Environmental sustainability (clean energy, emissions)
  • Reliability (punctuality, breakdown rates)
  • Digital readiness (real-time data, Industry 4.0 integration)

These correspond with global transportation priorities seen today:

🌱 Sustainability
🧠 Smart technology
🔐 Safety
⏱️ Efficiency

👇 Lower-Weighted Areas

These still matter, but not as heavily:

  • Aesthetics of buses
  • Website quality
  • Some social impact indicators

This tells us that passengers and experts prioritize core performance and sustainability over cosmetic features.

🚍 Why This Matters for Urban Planning

This model gives cities a powerful decision-support tool to:

  • Purchase cleaner bus fleets
  • Identify service shortcomings
  • Guide Industry 4.0 upgrades
  • Analyze costs vs. sustainability goals
  • Build better long-term transportation strategies

For a city like Izmir, this helps:

  • Plan fleet electrification
  • Reduce carbon emissions
  • Improve citizen satisfaction
  • Align with EU-style sustainability targets
  • Achieve smarter mobility infrastructures

Other cities—especially rapidly urbanizing regions—can replicate the model instantly.

🧭 Future Prospects: What’s Next?

The research points toward exciting opportunities:

🔋 1. Faster Transition to Electric Fleets

As electric buses lead the ranking, cities should:

  • Expand charging infrastructure
  • Optimize route planning for battery ranges
  • Invest in renewable-powered charging hubs

Expect to see more solar-powered bus depots and wireless charging roads soon. ☀️⚡

🧠 2. Deeper Industry 4.0 Integration

Cities need to embed more digital tech:

  • Real-time bus occupancy data
  • AI-based predictive maintenance
  • IoT-enabled traffic optimization
  • Autonomous bus pilots

Smart mobility will soon be the norm—not the exception. 🤖🚍

🌍 3. Holistic Sustainability Metrics

Beyond emissions, future evaluations should include:

  • Life-cycle battery analysis
  • Social inclusivity (e.g., universal access)
  • Long-term energy sourcing

SPT-SERVQUAL 4.0 already covers these in detail—and could evolve even further.

📊 4. More Citizen-Centered Measurements

Future models could incorporate:

  • Real-time passenger sentiment from apps
  • AI-powered crowding prediction
  • Personalized travel recommendations
🌐 5. Global Standardization

This methodology could become:

🎯 Final Thoughts

This research doesn’t just evaluate buses—it reimagines the entire thinking behind sustainable public transportation.

By combining:

  • a modernized SERVQUAL model
  • sustainability principles
  • Industry 4.0 readiness
  • advanced fuzzy decision-making
  • real-world case data

…it provides a robust, future-ready framework for cities to make smart, sustainable transit decisions.

And the verdict is clear:

🚍💚 Electric buses are the strongest path toward sustainable, high-quality public transportation.

The future of urban transport is electric, intelligent, and sustainable—and it’s already on the road. 🌱⚡🚌


Terms to Know

SERVQUAL 🧪 A model that measures service quality by comparing what customers expect with what they actually experience.

Industry 4.0 🤖 The modern digital revolution using AI, IoT, sensors, and automation to create smarter, more connected systems. - More about this concept in the article "The Rise of Smart Biomass 🌾 How Industry 4.0 Fuels Green Aviation".

Sustainability 🌱 Designing solutions that protect the environment, support society, and stay economically viable for the long term.

Bayesian Best–Worst Method (Bayesian BWM) 🎯 A mathematical tool that lets experts score criteria by defining the “best” and “worst” ones while handling uncertainty.

Picture Fuzzy Sets 🎨 A logic system that allows four types of responses—yes, no, maybe, and unsure—making human judgments more realistic.

WASPAS Method 📊 A decision-making method that ranks options by combining multiple criteria into one powerful evaluation score.

Multi-Criteria Decision-Making (MCDM) 🧠 A set of tools used to evaluate complex choices involving many factors, such as cost, safety, and sustainability.

Electric Bus ⚡🚌 A bus powered entirely by electricity, offering quiet operation and zero tailpipe emissions.

Hybrid Bus 🔋⛽ A bus that uses both an internal combustion engine and an electric motor, producing lower emissions than diesel.

Public Transportation Service Quality ⭐ A measure of how well a transit system performs based on comfort, safety, reliability, digital features, and environmental impact.


Source: Tumsekcali, E.; Taskin, A. Sustainable Public Transportation Service Quality Assessment by a Hybrid Bayesian BWM and Picture Fuzzy WASPAS Methodology: A Real Case in Izmir, Turkey. Sustainability 2025, 17, 10735. https://doi.org/10.3390/su172310735

From: Duzce University; Yildiz Technical University; Azerbaijan State University of Economics.

© 2025 EngiSphere.com