This page has only limited features, please log in for full access.
Introducing autonomous vehicles (AVs) on the market is likely to bring changes in the mobility of travelers. In this work, extensive research is conducted to study the impact of different levels of automation on the mobility of people, and full driving automation needs further study because it is still under development. The impacts of AVs on travel behavior can be studied by integrating AVs into activity-based models. The contribution of this study is the estimation of AVs’ impacts on travelers’ mobility when different travel demands are provided, and also the estimation of AVs’ impact on the modal share considering the different willingness of pay to travel by AVs. This study analyses the potential impacts of AVs on travel behavior by investigating a sample of 8500 travelers who recorded their daily activity plans in Budapest, Hungary. Three scenarios are derived to study travel behavior and to find the impacts of the AVs on the conventional transport modes. The scenarios include (1) a simulation of the existing condition, (2) a simulation of AVs as a full replacement for conventional transport modes, and (3) a simulation of the AVs with conventional transport modes concerning different marginal utilities of travel time in AVs. The simulations are done by using the Multi-Agent Transport Simulation (MATSim) open-source software, which applies a co-evolutionary optimization algorithm. Using the scenarios in the study, we develop a base model, determine the required fleet size of AVs needed to fulfill the demand of the different groups of travelers, and predict the new modal shares of the transport modes when AVs appear on the market. The results demonstrate that the travelers are exposed to a reduction in travel time once conventional transport modes are replaced by AVs. The impact of the value of travel time (VOT) on the usage of AVs and the modal share is demonstrated. The decrease in the VOT of AVs increases the usage of AVs, and it particularly decreases the usage of cars even more than other transport modes. AVs strongly affect the public transport when the VOT of AVs gets close to the VOT of public transport. Finally, the result shows that 1 AV can replace 7.85 conventional vehicles with acceptable waiting time.
Jamil Hamadneh; Domokos Esztergár-Kiss. The Influence of Introducing Autonomous Vehicles on Conventional Transport Modes and Travel Time. Energies 2021, 14, 4163 .
AMA StyleJamil Hamadneh, Domokos Esztergár-Kiss. The Influence of Introducing Autonomous Vehicles on Conventional Transport Modes and Travel Time. Energies. 2021; 14 (14):4163.
Chicago/Turabian StyleJamil Hamadneh; Domokos Esztergár-Kiss. 2021. "The Influence of Introducing Autonomous Vehicles on Conventional Transport Modes and Travel Time." Energies 14, no. 14: 4163.
Travelers conduct onboard activities while using the tools they bring with them onboard to convert part of their travel time to a productive time. Productive travel time contributes to the reduction in the disutility of travel time. This paper discusses the influence of travelers’ onboard activities and the tools carried by travelers on the perceived trip time. 10 onboard activities and 12 tools carried by travelers are introduced and studied in this work. A questionnaire focusing on the main trip of each respondent in urban areas is conducted, where a sample size of 525 participants is collected. Statistical methods such as central tendency, chi-square, exploratory factor analysis (EFA), rank-based nonparametric test, and multivariate analysis of variance (MANOVA) are applied. The main findings are the following: almost all of the onboard activities and the tools carried by travelers impact the trip time positively (i.e., the perception is enhanced). For each transport mode, the most frequent onboard activities that impact the trip time positively is obtained, and the connection between each onboard activity and each tool carried by travelers is found (i.e., moderate to strong association). EFA uncovers the underlying relationship between those onboard activities and those tools carried by travelers that influence travelers’ perception. In this case, instead of the full list, fewer onboard activities and tools carried by travelers are produced to simplify the finding of their impacts on the perceived trip time. The participation in onboard activity is ranked across certain groups, such as the tendency of women to be engaged in onboard activities is higher than men’s tendency. Regarding the positive impact on trip time, a statistical difference is demonstrated between groups, where the use of the tools carried by travelers is varied across the transport mode, trip purpose, and trip time, gender, age, education, and job variable. Besides, the involvement in onboard activities is statistically dependent across the transport mode, gender, income, and car ownership variable. The output of this study helps decision-makers and mobility planners in understanding the behavior of travelers onboard in more detail, such as the availability of onboard tools affecting the choice of transport mode.
Jamil Hamadneh; Domokos Esztergár-Kiss. The Effects of Multitasking and Tools Carried by Travelers Onboard on the Perceived Trip Time. Journal of Advanced Transportation 2021, 2021, 1 -25.
AMA StyleJamil Hamadneh, Domokos Esztergár-Kiss. The Effects of Multitasking and Tools Carried by Travelers Onboard on the Perceived Trip Time. Journal of Advanced Transportation. 2021; 2021 ():1-25.
Chicago/Turabian StyleJamil Hamadneh; Domokos Esztergár-Kiss. 2021. "The Effects of Multitasking and Tools Carried by Travelers Onboard on the Perceived Trip Time." Journal of Advanced Transportation 2021, no. : 1-25.
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.
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 StyleAmalia 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 StyleAmalia 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.
Autonomous Vehicles (AVs) have been designed to make changes in the travel behaviour of travellers. These changes can be interpreted using transport models and simulation tools. In this study, the daily activity plans were used to study the possibility of increasing the utility of travellers through minimizing the travel time by using AVs. Three groups of travellers were selected based on the benefits that they can obtain when AVs are on the market. The groups are (a) long-trip travellers (b) public transport riders, and (c) travellers with specified characteristics. Each group is divided into one or more scenarios based on the definition of each group and the collected data. A total of seven scenarios were derived from the collected data and simulated twice to include the existing transport modes and the presence of AVs. The simulations were conducted using Multi-Agents Transport Simulation (MATSim) that applies the concept of a co-evolutionary algorithm. MATSim simulates the current plans and the ones where AVs replace all or part of the existing conventional transport modes in the daily activity plans. The results have shown a reduction in the trip time: 13% to 42% for group (a), 33% for group (b), and 16% to 28% for group (c) compared with the original trip times. In conclusion, it can be claimed that AVs could reduce the travel time in all cases, which provides benefits for people to increase their utilities.
Jamil Hamadneh; Domokos Esztergár-Kiss. Potential Travel Time Reduction with Autonomous Vehicles for Different Types of Travellers. Promet - Traffic&Transportation 2021, 33, 61 -76.
AMA StyleJamil Hamadneh, Domokos Esztergár-Kiss. Potential Travel Time Reduction with Autonomous Vehicles for Different Types of Travellers. Promet - Traffic&Transportation. 2021; 33 (1):61-76.
Chicago/Turabian StyleJamil Hamadneh; Domokos Esztergár-Kiss. 2021. "Potential Travel Time Reduction with Autonomous Vehicles for Different Types of Travellers." Promet - Traffic&Transportation 33, no. 1: 61-76.
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.
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 StyleShelly 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 StyleShelly 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.
The preferences of travelers determines the utility of daily activity plans. Decision-makers can affect the preference of travelers when they force private car users to use park-and-ride (P&R) facilities as a way of decreasing traffic in city centers. The P&R system has been shown to be effective in reducing uninterrupted increases in traffic congestion, especially in city centers. Therefore, the impacts of P&R on travel behavior and the daily activity plans of both worker and shopper travelers were studied in this paper. Moreover, autonomous vehicles (AVs) are a promising technology for the coming decade. A simulation of the AV as part of a multimodal system, when the P&R system was integrated in the daily activity plans, was carried out to determine the required AV fleet size needed to fulfill a certain demand and to study the impacts of AVs on the behavior of travelers (trip time and distance). Specifically, a group of travelers, who use private cars as their transport mode, was studied, and certain modifications to their daily activity plans, including P&R facilities and changing their transport mode, were introduced. Using the MATSim open-source tool, four scenarios were simulated based on the mentioned modifications. The four scenarios included (1) a simulation of the existing transport modes of the travelers, (2) a simulation of their daily activity plans when their transport modes were changed to AVs, (3) a simulation of the travelers, when P&R facilities were included in their activity chain plans, and (4) a simulation of their daily activity plans, when both P&R and AVs were included in their activity chain plans. The result showed that using the P&R system increased overall travel time, compared with using a private car. The results also demonstrated that using AVs as a replacement for conventional cars reduced travel time. In conclusion, the impact of P&R and AVs on the travel behavior of certain travelers was evaluated in this paper.
Jairo Ortega; Jamil Hamadneh; Domokos Esztergár-Kiss; János Tóth. Simulation of the Daily Activity Plans of Travelers Using the Park-and-Ride System and Autonomous Vehicles: Work and Shopping Trip Purposes. Applied Sciences 2020, 10, 2912 .
AMA StyleJairo Ortega, Jamil Hamadneh, Domokos Esztergár-Kiss, János Tóth. Simulation of the Daily Activity Plans of Travelers Using the Park-and-Ride System and Autonomous Vehicles: Work and Shopping Trip Purposes. Applied Sciences. 2020; 10 (8):2912.
Chicago/Turabian StyleJairo Ortega; Jamil Hamadneh; Domokos Esztergár-Kiss; János Tóth. 2020. "Simulation of the Daily Activity Plans of Travelers Using the Park-and-Ride System and Autonomous Vehicles: Work and Shopping Trip Purposes." Applied Sciences 10, no. 8: 2912.
In this paper agent-based modeling was used, and simulation of activities were conducted to study both the existing behavior of travelers and the behavior of travelers considering shared autonomous vehicles (SAV). In the modeling framework distance, travel time, travel cost, fleet size and capacities of vehicle types were used as main parameters. Additionally, we created user groups (long commute drivers, car rider, high class income), who are more willing to use SAV. Simulations of the daily plan of activities were performed using Multi-agent Transport simulation tool (MATSim), which applies the concept of co-evolutionary algorithm. Travel plans of around 3000 persons were simulated, and fleet sizes of 20, 50, 100 SAVs were examined. The results showed that 1 SAV can replace 8 conventional vehicles with acceptable average waiting time ranging from 7-10 minutes and usage of 4-seats (shared trip). The utility function that were used in the study showed that the travel time decreased by 17% and the travel distance decreased by 20% after 100 iterations performed on the existing plans. Moreover, the long commuter and high-income travelers can be served by 20 SAV with waiting time of 10 minutes and trip duration of 20 minutes. In this case 1 SAV can replace 6 conventional cars with acceptable average waiting time 10-15 minutes.
Jamil Hamadneh; Domokos Esztergar-Kiss. Impacts of Shared Autonomous Vehicles on the Travelers’ Mobility. 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) 2019, 1 -9.
AMA StyleJamil Hamadneh, Domokos Esztergar-Kiss. Impacts of Shared Autonomous Vehicles on the Travelers’ Mobility. 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). 2019; ():1-9.
Chicago/Turabian StyleJamil Hamadneh; Domokos Esztergar-Kiss. 2019. "Impacts of Shared Autonomous Vehicles on the Travelers’ Mobility." 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) , no. : 1-9.
Estimating parking demand in Palestine requires more oriented studies towards parking generation to enrich transportation planning, design, and management. Using regional or international models and rates of parking demand may not be appropriate for Palestine. This research is conducted to establish a reference for provision of parking supply for three major types of land uses, which are residential, office, and retail.Seventy-three sites of different land uses were selected through field investigations, interviews, and availability of information for each site. The study covered all main cities in the West Bank, Palestine. Data collection was conducted manually, which contains site characteristics and average of two-day parking counts during three periods (AM, PM, and Peak of the Development).Numerous models and rates were investigated yielding variable statistical accuracies. Most appropriate statistical models/rates were summarized and highlighted for each type of land use, and parking generation models with acceptable statistical significance were recommended, otherwise, parking generation rates were recommended. Simple linear regression, natural logarithmic linear regression, and power were the forms of the recommended models for the studied land uses.This study forms the first step of a future Palestinian “Parking Generation Manual” that should contain various local land use types.
Khaled Al-Sahili; Jamil Hamadneh. Establishing parking generation rates/models of selected land uses for Palestinian cities. Transportation Research Part A: Policy and Practice 2016, 91, 213 -222.
AMA StyleKhaled Al-Sahili, Jamil Hamadneh. Establishing parking generation rates/models of selected land uses for Palestinian cities. Transportation Research Part A: Policy and Practice. 2016; 91 ():213-222.
Chicago/Turabian StyleKhaled Al-Sahili; Jamil Hamadneh. 2016. "Establishing parking generation rates/models of selected land uses for Palestinian cities." Transportation Research Part A: Policy and Practice 91, no. : 213-222.