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Stefaniec, AgnieszkaORCID iD iconorcid.org/0000-0003-2366-7740
Publications (5 of 5) Show all publications
Hosseini, K., Pramod Choudhari, T., Stefaniec, A., O'Mahony, M. & Caulfield, B. (2024). E-bike to the future: Scalability, emission-saving, and eco-efficiency assessment of shared electric mobility hubs. Transportation Research Part D: Transport and Environment, 133, Article ID 104275.
Open this publication in new window or tab >>E-bike to the future: Scalability, emission-saving, and eco-efficiency assessment of shared electric mobility hubs
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2024 (English)In: Transportation Research Part D: Transport and Environment, ISSN 1361-9209, E-ISSN 1879-2340, Vol. 133, article id 104275Article in journal (Refereed) Published
Abstract [en]

In car-dominated urban areas, shared electric micro-mobility offers a sustainable alternative to decarbonise and reshape mobility paradigms. This paper presents a comprehensive framework for evaluating Dublin's e-bike sharing system, comprising 12 stations (eHUBs). Using six months of real-world riding data, it employs data envelopment analysis to assess the eco-efficiency of each eHUB in utilising nearby infrastructure, population in the catchment area, and location to achieve desired economic, social, and environmental outputs. Results indicate an upward trajectory for the system's eco-efficiency. The returns-to-scale analysis provides insights into the system's scalability, suggesting that expanding the e-bike sharing system, along with infrastructural enhancements, would significantly increase ridership. Analysing decarbonisation, usage patterns, and spatial factors of eHUBs reveals the substantial potential of shared e-bikes if optimally used. The research highlights the need to reevaluate car-centric policies in favour of more inclusive and environmentally sustainable alternatives and proposes actionable policy recommendations to achieve this transformation.

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Data envelopment analysis, Decarbonization, E-bike, Micro-mobility, Scalability, Shared mobility, Bicycles, Catchments, Efficiency, Population statistics, Sustainable development, Decarbonisation, Eco-efficiency, Eco-efficiency assessments, Electric mobility, Emission saving, Sharing systems, Urban areas
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:sh:diva-54363 (URN)10.1016/j.trd.2024.104275 (DOI)001259062600001 ()2-s2.0-85196075247 (Scopus ID)
Funder
Interreg, NWE 826
Available from: 2024-06-26 Created: 2024-06-26 Last updated: 2025-10-07Bibliographically approved
Stefaniec, A., Brazil, W., Whitney, W., Zhang, W., Colleary, B. & Caulfield, B. (2024). Examining the long-term reduction in commuting emissions from working from home. Transportation Research Part D: Transport and Environment, 127, Article ID 104063.
Open this publication in new window or tab >>Examining the long-term reduction in commuting emissions from working from home
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2024 (English)In: Transportation Research Part D: Transport and Environment, ISSN 1361-9209, E-ISSN 1879-2340, Vol. 127, article id 104063Article in journal (Refereed) Published
Abstract [en]

To develop effective climate strategies, it is necessary to model the long-term impacts of combined policy measures. This study examines how an increase in working-from-home (WFH) practices, coupled with higher private car fleet penetration of electric vehicles (EVs), could change commuting patterns and associated emissions. Simulations for the Dublin Region show that if half of white-collar workers were WFH and EVs made up one-third of the fleet as forecasted for 2030, emissions from travel activities could be reduced by up to 35% for carbon dioxide (CO2) and 25% for particulate matter (PM). However, transitioning from a moderate to a high WFH scenario may not deliver significant benefits in terms of travel length, modal shift, and emissions reduction. In addition, a decrease in commuter trips can lead to an increase in other trips. This suggests that there is a need for additional measures to discourage car usage when commuter trips decline.

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
COVID-19, Electric vehicle, Greenhouse gas emissions, Scenario analysis, Telecommuting, Transport modelling, Working from home, Carbon dioxide, Climate models, Electric vehicles, Emission control, Fleet operations, Gas emissions, Greenhouse gases, % reductions, Long-term impacts, Policy measures, Private cars, Scenarios analysis, Travel activities, Workers'
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:sh:diva-53331 (URN)10.1016/j.trd.2024.104063 (DOI)001163606100001 ()2-s2.0-85182508036 (Scopus ID)
Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2025-10-07Bibliographically approved
Hosseini, K. & Stefaniec, A. (2023). A wolf in sheep's clothing: Exposing the structural violence of private electric automobility. Energy Research & Social Science, 99, Article ID 103052.
Open this publication in new window or tab >>A wolf in sheep's clothing: Exposing the structural violence of private electric automobility
2023 (English)In: Energy Research & Social Science, ISSN 2214-6296, E-ISSN 2214-6326, Vol. 99, article id 103052Article in journal (Refereed) Published
Abstract [en]

The world is running out of time to avoid cataclysmic climate impacts. Therefore, determining which decarbonisation strategies are more effective and inclusive in reducing anthropogenic dependency on fossil fuels is vital for governments' decisions on investment. This research argues that the electrification of private automobility is neither effective nor equitable. Considering the current electricity mix of the grid, this electrification merely shifts the CO2 emissions and other pollutants from urban to rural areas. The strategy of private automobility electrification does not look beyond the problem of tailpipe emissions and hence cannot eliminate the deficiencies of the car-dependent system that require system-wide solutions, such as traffic congestion and road accidents. Prioritising this strategy not only maintains existing inequities but also increases social injustice and delays the implementation of more effective interventions. We argue that using private EVs structurally violates the biosphere and human communities in three ways: (1) production of inequities, (2) pollution and waste, and (3) the space of the exception (the ‘Electric Vehicle Bubble’). Finally, we conclude that eradicating private automobility is necessary to realise climate and transport justice. Focusing on inclusive strategies, such as supporting public transportation, shared mobility, and active travel modes, instead of offering incentives for EVs, are the means of progressive redistribution of wealth and can satisfactorily meet people's basic needs and governmental climate targets. 

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Car dependence, Decarbonization, Electric vehicles, Equity, Structural violence, Sustainable transport, The space of the exception
National Category
Sociology (excluding Social Work, Social Psychology and Social Anthropology) Transport Systems and Logistics
Research subject
Politics, Economy and the Organization of Society
Identifiers
urn:nbn:se:sh:diva-51248 (URN)10.1016/j.erss.2023.103052 (DOI)000959920800001 ()2-s2.0-85150439338 (Scopus ID)
Available from: 2023-03-31 Created: 2023-03-31 Last updated: 2025-10-07Bibliographically approved
Kinsella, L., Stefaniec, A., Foley, A. & Caulfield, B. (2023). Pathways to decarbonising the transport sector: The impacts of electrifying taxi fleets. Renewable & sustainable energy reviews, 174, Article ID 113160.
Open this publication in new window or tab >>Pathways to decarbonising the transport sector: The impacts of electrifying taxi fleets
2023 (English)In: Renewable & sustainable energy reviews, ISSN 1364-0321, E-ISSN 1879-0690, Vol. 174, article id 113160Article in journal (Refereed) Published
Abstract [en]

The impacts of climate change have prompted governments to pledge to introduce policies aiming to limit the increasing temperature. One of the strategies involves reducing and, eventually, eliminating internal combustion engines in favour of electric vehicles. This strategy has been implemented by many transportation services, and FREE NOW has pledged to be carbon neutral by 2030. This study analyses the FREE NOW taxi fleet composition in Dublin in 2021 and investigates the reduction in emissions from fully electrifying the fleet. The analysis uses an emissions tool to model a combination of scenarios, consisting of different vehicle powertrain and fuel type configurations. An emission factor is applied to the EVs to calculate the emissions produced by the electricity used to power the vehicles. The results show a 77% decrease in carbon dioxide emissions from fully electrifying the fleet. Multi-criteria analysis is used to assess the strengths and weaknesses of each scenario developed. The S-5 scenario, consisting of the EVs only, scored the highest for many of the criteria. S-5 was identified as the best option for the taxi fleet, followed closely by S-4 involving an upgrade to all plug-in hybrid EVs. The S-4 scenario seems to be a good alternative when an EV is too expensive or access to charging infrastructure is not provided. The infrastructure currently available in Dublin will not accommodate the all-EV taxis target by 2030. 

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Electric vehicle, Emission modeling, Multi-criteria analysis, Net-zero target, Scenario analysis, Taxi, Fleet operations, Global warming, Plug-in hybrid vehicles, Taxicabs, Decarbonising, Emission model, Increasing temperatures, Multicriteria analysis, Scenarios analysis, Taxi fleets, Transport sectors, Transportation services, Carbon dioxide
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:sh:diva-50713 (URN)10.1016/j.rser.2023.113160 (DOI)000976308700001 ()2-s2.0-85145865548 (Scopus ID)
Available from: 2023-01-23 Created: 2023-01-23 Last updated: 2025-10-07Bibliographically approved
Stefaniec, A., Brazil, W., Whitney, W. & Caulfield, B. (2022). Desire to work from home: Results of an Irish study. Journal of Transport Geography, 104, Article ID 103416.
Open this publication in new window or tab >>Desire to work from home: Results of an Irish study
2022 (English)In: Journal of Transport Geography, ISSN 0966-6923, E-ISSN 1873-1236, Vol. 104, article id 103416Article in journal (Refereed) Published
Abstract [en]

Large levels of working from home (WfH) were induced by social distancing and viral control measures undertaken to mitigate the Covid-19 pandemic. Representing an unpredicted change in the way large amounts of people undertake their day to day work, it is expected that the legacy of this event, in terms of significant alterations to work and commuting patterns will have wide-ranging and long-lasting results. However, how persistent the current trends will be, remains an open question. Therefore, there is a need for a well-represented study of employees' preferences for the post-pandemic future and focus on white-collar workers and their well-established attitudes considering their flexibility in terms of workplace arrangements. This paper presents the results of a survey undertaken in Ireland in the summer of 2021 gauging the desire of office workers to WfH, the format that most appeals to them, the consideration of home relocation based on the ability to WfH, and the factors that may explain such preferences. Results indicate high levels of desire to WfH, either full time or partially, with increased desire to WfH positively correlated to pre-pandemic commute length, and to a perceived increase in work productivity and quality of non-work life as a result of time spent WfH. Additionally, a number of workers state that they may consider home relocation based upon the ability to WfH. These results should be interpreted as the desire to WfH or total addressable market that exists, rather than the likely levels of WfH that will be observed post-Covid.

Place, publisher, year, edition, pages
Elsevier, 2022
Keywords
Covid-19, Working from home, Teleworking, Residential relocation, Ordered logit model
National Category
Sociology
Identifiers
urn:nbn:se:sh:diva-49798 (URN)10.1016/j.jtrangeo.2022.103416 (DOI)000911713100001 ()35992220 (PubMedID)2-s2.0-85135930733 (Scopus ID)
Available from: 2022-09-02 Created: 2022-09-02 Last updated: 2025-10-07Bibliographically approved
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ORCID iD: ORCID iD iconorcid.org/0000-0003-2366-7740

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