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Dr. Amalia Polydoropoulou
Department of Shipping Trade & Transport, University of the Aegean, Chios, 72100, Greece

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Research Keywords & Expertise

0 Mobility-as-a-Service
0 Business models
0 Demand modelling
0 Advanced research methods and tools
0 Last-mile deliveries automated and connected transport

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Journal article
Published: 23 April 2021 in Sustainability
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The introduction of shared autonomous vehicles into the transport system is suggested to bring significant impacts on traffic conditions, road safety and emissions, as well as overall reshaping travel behaviour. Compared with a private autonomous vehicle, a shared automated vehicle (SAV) is associated with different willingness-to-adopt and willingness-to-pay characteristics. An important aspect of future SAV adoption is the presence of other passengers in the SAV—often people unknown to the cotravellers. This study presents a cross-country exploration of user preferences and WTP calculations regarding mode choice between a private non-autonomous vehicle, and private and shared autonomous vehicles. To explore user preferences, the study launched a survey in seven European countries, including a stated-preference experiment of user choices. To model and quantify the effect of travel mode attributes and socio-demographic characteristics, the study employs a mixed logit model. The model results were the basis for calculating willingness-to-pay values for all countries and travel modes, and provide insight into the significant heterogeneous, gender-wise effect of cotravellers in the choice to use an SAV. The study results highlight the importance of analysis of the effect of SAV attributes and shared-ride conditions on the future acceptance and adoption rates of such services.

ACS Style

Amalia Polydoropoulou; Ioannis Tsouros; Nikolas Thomopoulos; Cristina Pronello; Arnór Elvarsson; Haraldur Sigþórsson; Nima Dadashzadeh; Kristina Stojmenova; Jaka Sodnik; Stelios Neophytou; Domokos Esztergár-Kiss; Jamil Hamadneh; Graham Parkhurst; Shelly Etzioni; Yoram Shiftan; Floridea Di Ciommo. Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries. Sustainability 2021, 13, 4769 .

AMA Style

Amalia Polydoropoulou, Ioannis Tsouros, Nikolas Thomopoulos, Cristina Pronello, Arnór Elvarsson, Haraldur Sigþórsson, Nima Dadashzadeh, Kristina Stojmenova, Jaka Sodnik, Stelios Neophytou, Domokos Esztergár-Kiss, Jamil Hamadneh, Graham Parkhurst, Shelly Etzioni, Yoram Shiftan, Floridea Di Ciommo. Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries. Sustainability. 2021; 13 (9):4769.

Chicago/Turabian Style

Amalia Polydoropoulou; Ioannis Tsouros; Nikolas Thomopoulos; Cristina Pronello; Arnór Elvarsson; Haraldur Sigþórsson; Nima Dadashzadeh; Kristina Stojmenova; Jaka Sodnik; Stelios Neophytou; Domokos Esztergár-Kiss; Jamil Hamadneh; Graham Parkhurst; Shelly Etzioni; Yoram Shiftan; Floridea Di Ciommo. 2021. "Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries." Sustainability 13, no. 9: 4769.

Journal article
Published: 28 March 2021 in Sustainability
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Smart Mobility and the introduction of innovation in the complex and dynamic actor ecosystem of urban transport is faced with the need to manage change in order to secure sustainability and protect against negative externalities. The present contribution provides decision-makers with a tool to assess innovation strategies and monitor change over time. The proposed EcoSystem Innovation Framework (ESIF) is applied to a flagship innovation: Mobility as a Service (MaaS). The application concerns the City of Budapest, a location with highly-utilized resources and low car ownership, in contrast to other locations where MaaS is implemented. The ESIF is constructed through qualitative research (stakeholder workshops, interviews, document collection and analysis) for three (3) points in time: Summer 2018; Summer 2019 and end of 2020 (first year of the COVID-19 pandemic). The ESIF analysis was able to guide decision-makers and highlight potential future trends demonstrating the potential of the ESIF framework. For the City of Budapest, the ESIF highlighted the delicate balance in the promotion of MaaS, as the dichotomy between public and private on-demand mobility may trigger a negative modal shift. The COVID-19 pandemic has enhanced this potential. Despite public sector efforts, market opportunity has surfaced leading to contrasting interests in the ecosystem.

ACS Style

Athena Roumboutsos; Ioanna Pagoni; Athena Tsirimpa; Amalia Polydoropoulou. An Ecosystem Innovation Framework: Assessing Mobility as a Service in Budapest. Sustainability 2021, 13, 3753 .

AMA Style

Athena Roumboutsos, Ioanna Pagoni, Athena Tsirimpa, Amalia Polydoropoulou. An Ecosystem Innovation Framework: Assessing Mobility as a Service in Budapest. Sustainability. 2021; 13 (7):3753.

Chicago/Turabian Style

Athena Roumboutsos; Ioanna Pagoni; Athena Tsirimpa; Amalia Polydoropoulou. 2021. "An Ecosystem Innovation Framework: Assessing Mobility as a Service in Budapest." Sustainability 13, no. 7: 3753.

Journal article
Published: 23 November 2020 in Sustainability
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The technology that allows fully automated driving already exists and it may gradually enter the market over the forthcoming decades. Technology assimilation and automated vehicle acceptance in different countries is of high interest to many scholars, manufacturers, and policymakers worldwide. We model the mode choice between automated vehicles and conventional cars using a mixed multinomial logit heteroskedastic error component type model. Specifically, we capture preference heterogeneity assuming a continuous distribution across individuals. Different choice scenarios, based on respondents’ reported trip, were presented to respondents from six European countries: Cyprus, Hungary, Iceland, Montenegro, Slovenia, and the UK. We found that large reservations towards automated vehicles exist in all countries with 70% conventional private car choices, and 30% automated vehicles choices. We found that men, under the age of 60, with a high income who currently use private car, are more likely to be early adopters of automated vehicles. We found significant differences in automated vehicles acceptance in different countries. Individuals from Slovenia and Cyprus show higher automated vehicles acceptance while individuals from wealthier countries, UK, and Iceland, show more reservations towards them. Nontrading mode choice behaviors, value of travel time, and differences in model parameters among the different countries are discussed.

ACS Style

Shelly Etzioni; Jamil Hamadneh; Arnór Elvarsson; Domokos Esztergár-Kiss; Milena Djukanovic; Stelios Neophytou; Jaka Sodnik; Amalia Polydoropoulou; Ioannis Tsouros; Cristina Pronello; Nikolas Thomopoulos; Yoram Shiftan. Modeling Cross-National Differences in Automated Vehicle Acceptance. Sustainability 2020, 12, 9765 .

AMA Style

Shelly Etzioni, Jamil Hamadneh, Arnór Elvarsson, Domokos Esztergár-Kiss, Milena Djukanovic, Stelios Neophytou, Jaka Sodnik, Amalia Polydoropoulou, Ioannis Tsouros, Cristina Pronello, Nikolas Thomopoulos, Yoram Shiftan. Modeling Cross-National Differences in Automated Vehicle Acceptance. Sustainability. 2020; 12 (22):9765.

Chicago/Turabian Style

Shelly Etzioni; Jamil Hamadneh; Arnór Elvarsson; Domokos Esztergár-Kiss; Milena Djukanovic; Stelios Neophytou; Jaka Sodnik; Amalia Polydoropoulou; Ioannis Tsouros; Cristina Pronello; Nikolas Thomopoulos; Yoram Shiftan. 2020. "Modeling Cross-National Differences in Automated Vehicle Acceptance." Sustainability 12, no. 22: 9765.

Journal article
Published: 25 November 2019 in Transportation Research Part A: Policy and Practice
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Future car purchase can determine an array of things ranging from CO2 emissions to urban life quality. For this reason, models and methods predicting car purchase are valuable to policy makers. This paper examines the future car purchase choice, using modules and different levels of attributes that construct a car, and measures the effect on the purchase choice of personality traits such as symbolic/exuberant attitudes towards vehicles. The results may enable policy makers to focus on certain market segments when promoting alternative fuel and automated vehicles. The paper proposes a hybrid choice model, with latent variables capturing the pro-environmental, exuberant and tech-friendly attitudes of individuals. The questionnaire presented to the respondents is in the form of a menu, from which participants may choose five different types of vehicle characteristics (engine size, type of car, fuel type, car edition and level of automation) to construct their ideal vehicle. Results indicate a negative correlation between symbolic, exuberant attitudes towards automobiles, the view of cars as symbols, and willingness to purchase a hybrid or electric vehicle. The findings further suggest that there is a correlation between symbol-driven exuberant attitudes and the desire to buy a larger vehicle. This paper examines the relationship between the symbolic perception of cars and, simultaneously, a range of characteristics, to discover which car attributes the symbolic perception affects. It also proposes an integrated framework for the modeling of future car purchase, with the hypothesis that each of the three presented latent variables can affect different modules of the individual’s ideal car concept.

ACS Style

Ioannis Tsouros; Amalia Polydoropoulou. Who will buy alternative fueled or automated vehicles: A modular, behavioral modeling approach. Transportation Research Part A: Policy and Practice 2019, 132, 214 -225.

AMA Style

Ioannis Tsouros, Amalia Polydoropoulou. Who will buy alternative fueled or automated vehicles: A modular, behavioral modeling approach. Transportation Research Part A: Policy and Practice. 2019; 132 ():214-225.

Chicago/Turabian Style

Ioannis Tsouros; Amalia Polydoropoulou. 2019. "Who will buy alternative fueled or automated vehicles: A modular, behavioral modeling approach." Transportation Research Part A: Policy and Practice 132, no. : 214-225.

Conference paper
Published: 12 December 2018 in Advances in Intelligent Systems and Computing
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This paper aims to investigate the effectiveness of reward-based schemes on altering traveler’s decision making towards sustainable multimodal transportation. For this purpose, a questionnaire survey is conducted in the context of the EC-H2020 funded project “OPTIMUM” within which suitable stated preference experiments are designed. Apart from the traditional multimodal attributes, such as travel time and travel cost, each stated preference experiment is supplemented by an attribute which represents a reward-based scheme. A mixed logit model is estimated where the individual’s utility is linearly dependent on the respondent’s socio-demographics and the attributes of the different multimodal alternatives. Our analysis indicates that, overall, the reward-based incentives could slightly contribute to the promotion of sustainable and emerging transport services. In specific, offering credits and monetary rewards may be effective in altering travellers’ behavior, while the provision of other non-financial passenger services does not influence individuals’ travel choice. In addition, it is found that individuals are more likely to use car-sharing in the presence of monetary rewards, while the alternatives “Public transport with bike-sharing” and “Public transport with Bicycle” are positively affected in the presence of credits.

ACS Style

Amalia Polydoropoulou; Ioanna Pagoni; Athena Tsirimpa; Ioannis Tsouros. Modelling Travelers’ Behavior in the Presence of Reward Schemes Offered for Green Multimodal Choices. Advances in Intelligent Systems and Computing 2018, 353 -361.

AMA Style

Amalia Polydoropoulou, Ioanna Pagoni, Athena Tsirimpa, Ioannis Tsouros. Modelling Travelers’ Behavior in the Presence of Reward Schemes Offered for Green Multimodal Choices. Advances in Intelligent Systems and Computing. 2018; ():353-361.

Chicago/Turabian Style

Amalia Polydoropoulou; Ioanna Pagoni; Athena Tsirimpa; Ioannis Tsouros. 2018. "Modelling Travelers’ Behavior in the Presence of Reward Schemes Offered for Green Multimodal Choices." Advances in Intelligent Systems and Computing , no. : 353-361.

Book chapter
Published: 05 June 2015 in Securing Transportation Systems
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ACS Style

Amalia Polydoropoulou; Athena Tsirimpa. Traveler's Security Perceptions and Port Choices. Securing Transportation Systems 2015, 271 -279.

AMA Style

Amalia Polydoropoulou, Athena Tsirimpa. Traveler's Security Perceptions and Port Choices. Securing Transportation Systems. 2015; ():271-279.

Chicago/Turabian Style

Amalia Polydoropoulou; Athena Tsirimpa. 2015. "Traveler's Security Perceptions and Port Choices." Securing Transportation Systems , no. : 271-279.

Journal article
Published: 19 September 2014 in Transportation
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The aim of this paper is to develop a methodological framework for the incorporation of social interaction effects into choice models. The developed method provides insights for modeling the effect of social interaction on the formation of psychological factors (latent variables) and on the decision-making process. The assumption is based on the fact that the way the decision maker anticipates and processes the information regarding the behavior and the choices exhibited in her/his social environment, affects her/his attitudes and perceptions, which in turn affect her/his choices. The proposed method integrates choice models with decision makers’ psychological factors and latent social interaction. The model structure is simultaneously estimated providing an improvement over sequential methods as it provides consistent and efficient estimates of the parameters. The methodology is tested within the context of a household aiming to identify the social interaction effects between teenagers and their parents regarding walking-loving behavior and then the effect of this on mode to school choice behavior. The sample consists of 9,714 participants aged from 12 to 18 years old, representing 21 % of the adolescent population of Cyprus. The findings from the case study indicate that if the teenagers anticipate that their parents are walking lovers, then this increases the probability of teenagers to be walking-lovers too and in turn to choose walking to school. Generally, the findings from the application result in: (a) improvements in the explanatory power of choice models, (b) latent variables that are statistically significant, and (c) a real-world behavioral representation that includes the social interaction effect.

ACS Style

Maria Kamargianni; Moshe Ben-Akiva; Amalia Polydoropoulou. Incorporating social interaction into hybrid choice models. Transportation 2014, 41, 1263 -1285.

AMA Style

Maria Kamargianni, Moshe Ben-Akiva, Amalia Polydoropoulou. Incorporating social interaction into hybrid choice models. Transportation. 2014; 41 (6):1263-1285.

Chicago/Turabian Style

Maria Kamargianni; Moshe Ben-Akiva; Amalia Polydoropoulou. 2014. "Incorporating social interaction into hybrid choice models." Transportation 41, no. 6: 1263-1285.

Journal article
Published: 01 April 2014 in International Journal of Operations Research and Information Systems
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The main objective of this article is to gain fundamental understanding on the effect of real time information acquisition, on the traffic conditions of the Athens greater area. Activity scheduling is a dynamic process, where individuals often need to modify their schedule, as a result of new insights. Research so far hasn't analyzed the effect of traffic information acquisition, in activity scheduling, although several studies have been conducted to capture the factors that influence the rescheduling of activities. An integrated latent variable model has been estimated, that predicts the probability of rescheduling activities as a function of flexibility, mode choice constraints and travel information. The analysis of the results indicates that one of the biggest impacts of traffic information acquisition is reflected in the rescheduling of activities. Therefore, traffic information not only can significantly improve the travel experience of individuals but may directly affect the performance of the transportation system.

ACS Style

Athena Tsirimpa; Amalia Polydoropoulou. The Impact of Traffic Information Acquisition on the Traffic Conditions of the Athens Greater Area. International Journal of Operations Research and Information Systems 2014, 5, 1 -20.

AMA Style

Athena Tsirimpa, Amalia Polydoropoulou. The Impact of Traffic Information Acquisition on the Traffic Conditions of the Athens Greater Area. International Journal of Operations Research and Information Systems. 2014; 5 (2):1-20.

Chicago/Turabian Style

Athena Tsirimpa; Amalia Polydoropoulou. 2014. "The Impact of Traffic Information Acquisition on the Traffic Conditions of the Athens Greater Area." International Journal of Operations Research and Information Systems 5, no. 2: 1-20.

Journal article
Published: 31 December 2010 in Journal of Choice Modelling
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Advanced Traveler Information Systems (ATIS) are becoming increasingly available throughout the world. While the impact of the provided information on the switching behavior has been investigated in the past, an area of research that is less well understood relates to the effect of the travelers' risk aversion (or risk-seeking) in their travel behavior. The objective of this research is to examine the impact of information acquisition on travelers' switching travel behavior and to identify and quantify the role of attitudes and perceptions on switching behavior. A combined choice and latent variable model has been developed, in which the individual traveler's risk aversion has been modeled as a latent variable. The model has been estimated using data collected through travel diaries in the Puget Sound Region (PSRC) in 2000. As expected, travelers in general tend to maintain their habitual travel pattern. However, specific travel information-such as that regarding an incident or road closure-influences behavioral switches such as departure time change and route change.

ACS Style

Athena Tsirimpa; Amalia Polydoropoulou; Constantinos Antoniou. Development of a Latent Variable Model to Capture the Impact of Risk Aversion on Travelers' Switching Behavior. Journal of Choice Modelling 2010, 3, 127 -148.

AMA Style

Athena Tsirimpa, Amalia Polydoropoulou, Constantinos Antoniou. Development of a Latent Variable Model to Capture the Impact of Risk Aversion on Travelers' Switching Behavior. Journal of Choice Modelling. 2010; 3 (1):127-148.

Chicago/Turabian Style

Athena Tsirimpa; Amalia Polydoropoulou; Constantinos Antoniou. 2010. "Development of a Latent Variable Model to Capture the Impact of Risk Aversion on Travelers' Switching Behavior." Journal of Choice Modelling 3, no. 1: 127-148.

Journal article
Published: 09 May 2009 in NETNOMICS: Economic Research and Electronic Networking
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The measurement of social and psychological phenomena has been advanced by recent progress in the fields of behavioural economics and hedonic psychology. In addition, the increased interest in understanding how individuals perceive their own quality of life, has led to investigating the relations between various macro and individual level variables, generically subsumed as happiness. For many “happiness is considered to be an ultimate goal in life” and it plays an important role in the way people perceive the overall society they live in. Therefore, social scientists and behavioural economists are now stressing the importance of well-being measures, related to people’s evaluations of their quality of life in addition to economic indicators. In the transport sector, project evaluation is mainly based on cost–benefit analyses using economic indicators. However, any provided transportation project/service impacts the quality of the travel experience, the well-being of travellers and their travel behaviour. Competitiveness of modes may be also affected by the promotion of derived or experienced travellers’ well-being. Thus, existing behavioural travel choice models should be enhanced with regards to their behavioural validity incorporating the impacts of travelling happiness/ satisfaction. This study aims to understand and model the impact of stated (anticipated) happiness in the decision choice between a private transport mode—car, and a public transport mode—metro.

ACS Style

André Duarte; Camila Garcia; Grigoris Giannarakis; Susana Limão; Amalia Polydoropoulou; Nikolaos Litinas. New approaches in transportation planning: happiness and transport economics. NETNOMICS: Economic Research and Electronic Networking 2009, 11, 5 -32.

AMA Style

André Duarte, Camila Garcia, Grigoris Giannarakis, Susana Limão, Amalia Polydoropoulou, Nikolaos Litinas. New approaches in transportation planning: happiness and transport economics. NETNOMICS: Economic Research and Electronic Networking. 2009; 11 (1):5-32.

Chicago/Turabian Style

André Duarte; Camila Garcia; Grigoris Giannarakis; Susana Limão; Amalia Polydoropoulou; Nikolaos Litinas. 2009. "New approaches in transportation planning: happiness and transport economics." NETNOMICS: Economic Research and Electronic Networking 11, no. 1: 5-32.