Submitted:
17 March 2026
Posted:
18 March 2026
You are already at the latest version
Abstract
Keywords:
1. Introduction
1.1. Paper Objectives
1.2. Paper Outline
2. Climate Change, SMART Cities and Transport Transformation
2.1. Behavioral Influence
2.2. Technological Divides
3. Climate-Neutral Transport in SMART Cities
3.1. Approach of EU Member States
3.2. Application of Low-Emission Transport in EU SMART Cities
4. Concluding Remarks
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| SMART | Specific-Measurable-Achievable-Relevant-Timed |
| EU | European Union |
| EGD | European Green Deal |
| PPP | Public Private Partnership |
| ICT | Information and Communication Technologies |
| LGVs | Light Goods Vehicles |
| CNG | Compressed Natural Gas |
| LPG | Liquefied Petroleum Gas |
| LNG | Liquefied Natural Gas |
| CO2 | Carbon Dioxide |
| NO2 | Nitrogen Dioxide |
| PM10 | Particulate Matter 10 |
| CO | Carbon Monoxide |
| CCPI | Climate Change Performance Index |
| EEA | European Environment Agency |
| GHG | Greenhouse Gas Emission |
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| Country | 2023 | 2024 | Country | 2023 | 2024 |
| Sweden Norway Finland |
33.65% 27.73% 20.64% |
34.95% 27.29% 21.91% |
Slovakia | 9.18% | 9.51% |
| Luxembourg | 9.15% | 9.95% | |||
| Estonia | 9.06% | 8.43% | |||
| Netherlands Austria |
13.43% 13.21% |
16.99% 13.49% |
Romania | 8.23% | 7.47% |
| Bulgaria | 8.09% | 8.03% | |||
| Belgium Spain Germany Portugal |
12.09% 11.96% 11.86% 11.16% |
12.43% 12.18% 11.58% 11.50% |
Ireland | 7.58% | 8.60% |
| Hungary | 7.57% | 7.52% | |||
| Cyprus | 7.28% | 7.57% | |||
| Lithuania | 7.23% | 7.96% | |||
| EU-27 Denmark |
10.84% 10.80% |
11.32% 11.55% |
Poland | 5.99% | 6.53% |
| Czechia | 5.65% | 6.02% | |||
| Malta | 10.75% | 10.86% | Greece | 3.94% | 3.81% |
| Italy | 10.25% | 10.72% | Latvia | 1.36% | 6.42% |
| France | 10.03% | 10.72% | Croatia | 0.92% | 0.89% |
| Slovenia | 10.02% | 9.59% |
| CCPI ranking | GHG |
Renewable energy |
Alternative vehicle |
CO2 | Population | |
| CCPI ranking |
1.00 | 0.66 | 0.54 | 0.07 | 0.04 | -0.02 |
| GHG | 0.66 | 1.00 | -0.05 | 0.03 | 0.09 | -0.01 |
| Renewable energy | 0.54 | -0.05 | 1.00 | 0.02 | 0.09 | 0.09 |
| Alternative vehicle | 0.07 | 0.03 | 0.02 | 1.00 | 0.27 | 0.31 |
| CO2 | 0.04 | 0.09 | 0.09 | 0.27 | 1.00 | 0.94 |
| Population | -0.02 | -0.01 | 0.09 | 0.31 | 0.94 | 1.00 |
| CCPI ranking | GHG |
Renewable energy |
Alternative vehicle |
CO2 | Population | |
| CCPI ranking |
0.1824 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | |
| GHG | 0.1824 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | |
| Renewable energy | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | |
| Alternative vehicle | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | |
| CO2 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.1789 | |
| Population | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.1789 |
| Results | Commentary |
| Significant correlation between indicators and EU member states' ranking in the CCPI (p < 0.05) |
This result suggests that EU transport and environmental performance indicators, as measured by the GHG index, are significantly correlated with EU member states' positions in the CCPI. This suggests that greenhouse gas emissions and the level of reductions contribute to environmental protection and the transformation of transport and infrastructure to low-emission ones within EU member states. |
| No correlation with population (p > 0.05) |
The absence of an effect of population size suggests that country size is not a key factor in determining the ranking of EU member states in the CCPI ranking. This highlights that investments in and technologies for transforming transport and infrastructure are more important than demographic indicators. |
| Results | Commentary |
| The best regression model includes the Greenhouse Gas Emission (GHG) indicator: |
The Greenhouse Gas Emission rate is significant because it is related to the level of sustainable drives in cars and industry, the proactive steps taken by member states in terms of sustainability and environmental protection, and the level of technological innovation. |
| Adjusted R-squared value (0.430) |
This median value indicates that GHG indicators explain about 43% of the variance in the ranking of EU member states in the CCPI. |
| No. |
Direction of Operational Challenges |
Possible Research Directions |
| 1. | Adaptation of Legislation of EU Member States | Research is needed to explore how individual EU member states can adapt their legislative frameworks to more effectively integrate new technologies and transform transport and infrastructure. This includes process optimization and developing new competences between government and responsible authorities. |
| 2. | Creating Transformation Strategies |
It is important to develop and evaluate transport transformation strategies that encompass all transport processes including infrastructure. Research could help identify best practices and effective methods for implementing transport transformation in a way that benefits all EU member states. |
| 3. | Restructuring of Transport Infrastructure |
Transport and infrastructure restructuring processes require efficient management of resources, including financial and human resources. Research could explore how to better utilize available resources, transform infrastructure for alternative fuel vehicles, including charging stations, and ensure that technology implementation is economically sustainable. |
| 4. | Increasing the Availability of Information and Technology |
It is important for public administration to inform ordinary citizens and companies about technological innovations in the field of transport, about the protection and improvement of the environment, and the long-term sustainability of transport, including infrastructure. Research should focus on the efficiency and availability of information to residents and businesses of EU member states. |
| 5. | Subsidy Programs for Renewable and Low-emission Sources in Transport |
It is important to identify ways to provide support to residents and businesses to implement new transportation technologies. This could include subsidy programs, tax breaks for residents and businesses, consulting, or other incentives. |
| No. |
Direction of Operational Challenges |
Possible Research Directions |
| 1. | Increasing of Public Awareness | The public needs to be informed about the possibilities and opportunities offered by low-emission and zero-emission transport, infrastructure transformation, and the integration of the entire concept into a functional whole of SMART cities/transport. |
| 2. | Proactive Approach of Local Public Administration |
In order for citizens and businesses to accept the proposed changes, it is necessary for public authorities to be proactive and to act as pioneers in the field of transport in their cities. The use of low-emission transport by public authorities should be frequently presented to citizens through various media. |
| 3. | Construction of Necessary Infrastructure |
The public administration should find suitable locations for building charging stations for low-emission vehicles (mainly electric and hydrogen cars). It should carry out the construction, inform citizens, and subsidize charging during the initial period (until there are enough users of the charging stations). |
| 4. | Subsidy Programs for Renewable and Low-emission Sources in Transport |
Especially in the early stages of transformation, it is important to encourage residents and local businesses to switch to alternative transport. This could take the form of subsidy programs for local businesses, subsidized charging at public stations, or the introduction of zero local parking fees for residents who use low-emission vehicles. |
| 5. | Support for Disadvantaged Groups |
Disadvantaged citizens should be properly informed, have access to advice, and be able to use low-emission transport. Shared electric cars or vouchers for so-called electric taxis for transport, e.g., to the doctor, appear to be relevant. |
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