Domokos Esztergár-Ki
Biographic Data
| ID | 3512537 |
|---|---|
| NAME | Domokos Esztergár-Ki |
| GIVEN NAMES | Domokos |
| FAMILY NAME | Esztergár-Ki |
| SIGNATURE | ESZTERGÁR-KI D |
| AFFILIATIONS | Budapest University of Technology and Economics |
| ORCID | 0000-0002-7424-4214 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Mapping Urban Innovation Ecosystems
Analyzing an Integrated Mode-Choice User Preference Model for Budapest
Urban mode choice is either analyzed by subjective preference surveys, which are often biased, or by travel data processing, which misses revealing the travelers’ perceptions and intentions. The current article aims to amplify the classic survey-based mode choice analysis by providing objective thresholds for several tangible criteria of transport modes thus reducing the subjective bias. The proposed approach uses a combination of the best-worst …
Identifying accident and safety risks in urban micromobility
Micromobility has recently emerged as a popular and sustainable mode of transportation in urban areas. Understanding the accident-related factors of this new transport mode is crucial to ensure safe and enjoyable user experience. This study applies a machine learning approach, specifically the decision tree algorithm, to investigate those factors that lead to accidents by drivers using three types of micromobility devices: normal bicycle, e-bicyc…
A flexible waste bin number allocation plan applied to waste transportation electric fleets in smart cities
Assessment of the activity scheduling optimization method using real travel data
New mobility services are appearing with the support of technological developments. Part of them is related to activity scheduling of individuals and the optimization of their travel patterns. A novel method called Activity Chain Optimization (ACO) is an application of the Traveling Salesman Problem with Time Windows (TSP-TW) extended with additional assumptions about temporal and spatial flexibility of the activities, where the travelers can opt…
Generational differences in the preferences for MaaS bundles
Preferences for MaaS bundles considering shared mobility users
The rise of shared transportation options emphasizes the importance of Mobility as a Service (MaaS) in promoting sustainable urban mobility. While earlier studies show that several aspects, such as intermodality, technology preference, and lifestyle diversity, positively influence MaaS adoption, a few research works explicitly link travelers' views on MaaS to their willingness to purchase mobility bundles. The current study explores how individua…
Assessing walking accessibility to public transport stops in Budapest
Strategic trip planning for commuting considering user preferences of employees in organizations
Enhancing renewable energy evaluation
Greening urban mobility
Heuristic time-dependent personal scheduling problem with electric vehicles
In this paper, a heuristic method which contributes to the solution of the Daily Activity Chains Optimization problem with the use of Electric Vehicles (DACO-EV) is presented. The DACO-EV is a time-dependent activity-scheduling problem of individual travelers in urban environments. The heuristic method is comprised of a genetic algorithm that considers as its parameters a set of preferences of the travelers regarding their initial activity chains…
Electric micromobility from a policy-making perspective through European use cases
European urban areas have different practices for the planning of transportation systems, for the decision-making processes of new regulations, the implementation of transportation solutions, and for the cooperation between operators. In this paper, the specific conditions and potential solutions in the field of electric micromobility (e-micromobility) are analyzed. The elaborated method consists of two parts. In the first part, an expert worksho…
Understanding the antecedents of hedonic motivation in autonomous vehicle technology acceptance domain
The literature on autonomous vehicle (AV) acceptance highlights the significance of hedonic motivation in AV adoption. Numerous studies empirically confirm hedonic motivation as either the most or one of the most influential factors in the acceptance of AV. This fact calls for a need to achieve a wider understanding of the potential AV users’ perceived enjoyment (i.e., hedonic motivation). To this end, this study investigates the antecedents of h…
Promoting sustainable mode choice for commuting supported by persuasive strategies
A personalized route planner is elaborated to support commuting, where soft measures are applied to influence the intentions of individual travel behavior. In order to do that a utility function is created, which consists of four attributes (travel time, travel cost, environmental effect, and health effect) to reflect on user preferences and considers four transport modes (walking, cycling, public transport, and car) as alternatives. The outcome …
Extensions of the Activity Chain Optimization Method
For the optimization of daily activity chains a novel method has been elaborated, where flexible demand points were introduced. Some activities are not necessarily fixed temporally and spatially, therefore they can be realized in different times or locations. By using flexible demand points, the method is capable of finding new combinations of activity chains and choosing the optimal set of activities. The optimization algorithm solves the TSP-TW…
Assessing walking accessibility to public transport stops in Budapest
Understanding the antecedents of hedonic motivation in autonomous vehicle technology acceptance domain
The literature on autonomous vehicle (AV) acceptance highlights the significance of hedonic motivation in AV adoption. Numerous studies empirically confirm hedonic motivation as either the most or one of the most influential factors in the acceptance of AV. This fact calls for a need to achieve a wider understanding of the potential AV users’ perceived enjoyment (i.e., hedonic motivation). To this end, this study investigates the antecedents of h…
Extensions of the Activity Chain Optimization Method
For the optimization of daily activity chains a novel method has been elaborated, where flexible demand points were introduced. Some activities are not necessarily fixed temporally and spatially, therefore they can be realized in different times or locations. By using flexible demand points, the method is capable of finding new combinations of activity chains and choosing the optimal set of activities. The optimization algorithm solves the TSP-TW…
Promoting sustainable mode choice for commuting supported by persuasive strategies
A personalized route planner is elaborated to support commuting, where soft measures are applied to influence the intentions of individual travel behavior. In order to do that a utility function is created, which consists of four attributes (travel time, travel cost, environmental effect, and health effect) to reflect on user preferences and considers four transport modes (walking, cycling, public transport, and car) as alternatives. The outcome …
Heuristic time-dependent personal scheduling problem with electric vehicles
In this paper, a heuristic method which contributes to the solution of the Daily Activity Chains Optimization problem with the use of Electric Vehicles (DACO-EV) is presented. The DACO-EV is a time-dependent activity-scheduling problem of individual travelers in urban environments. The heuristic method is comprised of a genetic algorithm that considers as its parameters a set of preferences of the travelers regarding their initial activity chains…
Electric micromobility from a policy-making perspective through European use cases
European urban areas have different practices for the planning of transportation systems, for the decision-making processes of new regulations, the implementation of transportation solutions, and for the cooperation between operators. In this paper, the specific conditions and potential solutions in the field of electric micromobility (e-micromobility) are analyzed. The elaborated method consists of two parts. In the first part, an expert worksho…
Understanding the antecedents of hedonic motivation in autonomous vehicle technology acceptance domain
The literature on autonomous vehicle (AV) acceptance highlights the significance of hedonic motivation in AV adoption. Numerous studies empirically confirm hedonic motivation as either the most or one of the most influential factors in the acceptance of AV. This fact calls for a need to achieve a wider understanding of the potential AV users’ perceived enjoyment (i.e., hedonic motivation). To this end, this study investigates the antecedents of h…
Enhancing renewable energy evaluation
Greening urban mobility
A flexible waste bin number allocation plan applied to waste transportation electric fleets in smart cities
Assessment of the activity scheduling optimization method using real travel data
New mobility services are appearing with the support of technological developments. Part of them is related to activity scheduling of individuals and the optimization of their travel patterns. A novel method called Activity Chain Optimization (ACO) is an application of the Traveling Salesman Problem with Time Windows (TSP-TW) extended with additional assumptions about temporal and spatial flexibility of the activities, where the travelers can opt…
Generational differences in the preferences for MaaS bundles
Preferences for MaaS bundles considering shared mobility users
The rise of shared transportation options emphasizes the importance of Mobility as a Service (MaaS) in promoting sustainable urban mobility. While earlier studies show that several aspects, such as intermodality, technology preference, and lifestyle diversity, positively influence MaaS adoption, a few research works explicitly link travelers' views on MaaS to their willingness to purchase mobility bundles. The current study explores how individua…
Assessing walking accessibility to public transport stops in Budapest
Strategic trip planning for commuting considering user preferences of employees in organizations
Mapping Urban Innovation Ecosystems
Analyzing an Integrated Mode-Choice User Preference Model for Budapest
Urban mode choice is either analyzed by subjective preference surveys, which are often biased, or by travel data processing, which misses revealing the travelers’ perceptions and intentions. The current article aims to amplify the classic survey-based mode choice analysis by providing objective thresholds for several tangible criteria of transport modes thus reducing the subjective bias. The proposed approach uses a combination of the best-worst …
Identifying accident and safety risks in urban micromobility
Micromobility has recently emerged as a popular and sustainable mode of transportation in urban areas. Understanding the accident-related factors of this new transport mode is crucial to ensure safe and enjoyable user experience. This study applies a machine learning approach, specifically the decision tree algorithm, to investigate those factors that lead to accidents by drivers using three types of micromobility devices: normal bicycle, e-bicyc…
Transportation and Mobility Innovations (9 works) · Urban Transport and Accessibility (9 works) · Computer Science (6 works) · Engineering (6 works) · Business (5 works) · Mathematics (5 works) · Transportation Planning and Optimization (5 works) · Mathematical optimization (4 works) · Public transport (4 works) · Transport engineering (4 works)