@article{MTMT:35092800,
	title = {Role of policy and consumer attitudes in people’s intention to use autonomous vehicles. a comparative study in China and the USA},
	url = {https://m2.mtmt.hu/api/publication/35092800},
	author = {Li, Xinghua and Zou, Jieru and Agrawal, Shubham and Guo, Yuntao and Tang, Tianpei and Feng, Xi},
	doi = {10.1007/s11116-024-10508-2},
	journal-iso = {TRANSPORTATION},
	journal = {TRANSPORTATION},
	unique-id = {35092800},
	issn = {0049-4488},
	year = {2024},
	eissn = {1572-9435}
}

@article{MTMT:35078895,
	title = {Exploring the perception of quality of life in urban daily commuting for sustainable urban transport in Bangkok, Thailand},
	url = {https://m2.mtmt.hu/api/publication/35078895},
	author = {Iamtrakul, Pawinee and Chayphong, Sararad and Yoshitsugu, Hayashi},
	doi = {10.1007/s11116-024-10496-3},
	journal-iso = {TRANSPORTATION},
	journal = {TRANSPORTATION},
	unique-id = {35078895},
	issn = {0049-4488},
	abstract = {Quality of life (QoL) in daily travel is increasing in popularity as a research topic since transportation infrastructures and services are instrumental in accessing basic services and social capital benefits in areas such as public health, employment, housing, etc. This accessibility has consequently led to improved QoL for the Bangkok population. In this study, the evaluation of the perception of QoL during the daily travel of Bangkokians in Sukhumvit District, Thailand is conducted using face-to-face interview questionnaires with 500 respondents. The structural equation model (SEM) is employed to quantify QoL and its related multidimensional determinants. Four statistically significant factors affect QoL from the travel perspective: (1) accessibility (p-value 0.001), (2) travel cost (p-value 0.05), (3) environment (p-value 0.05), and (4) information (p-value 0.05). Interestingly, accessibility was found to have the most influence on QoL in daily travel. Therefore, policymakers are recommended to consider the degree to which QoL may be affected to establish transportation policies that are more acceptable, practical, and efficient.},
	year = {2024},
	eissn = {1572-9435}
}

@article{MTMT:35061782,
	title = {Freight-transit tour synthesis entropy-based formulation: sharing infrastructure for buses and trucks},
	url = {https://m2.mtmt.hu/api/publication/35061782},
	author = {Moreno-Palacio, D.P. and Gonzalez-Calderon, C.A. and Lopez-Ospina, H. and Gil-Marin, J.K. and Posada-Henao, J.J.},
	doi = {10.1007/s11116-024-10499-0},
	journal-iso = {TRANSPORTATION},
	journal = {TRANSPORTATION},
	unique-id = {35061782},
	issn = {0049-4488},
	year = {2024},
	eissn = {1572-9435},
	pages = {1-37}
}

@article{MTMT:35029063,
	title = {In-stream mobility and speed estimation of mobile devices from mobile network data},
	url = {https://m2.mtmt.hu/api/publication/35029063},
	author = {Scholler, Remy and Alaoui-Ismaili, Oumaima and Renaud, Denis and Couchot, Jean-Francois and Ballot, Eric},
	doi = {10.1007/s11116-024-10494-5},
	journal-iso = {TRANSPORTATION},
	journal = {TRANSPORTATION},
	unique-id = {35029063},
	issn = {0049-4488},
	keywords = {Probability; data mining; MOBILITY; Speed estimation; Mobile network data},
	year = {2024},
	eissn = {1572-9435}
}

@article{MTMT:35016577,
	title = {A deep semi-supervised machine learning algorithm for detecting transportation modes based on GPS tracking data},
	url = {https://m2.mtmt.hu/api/publication/35016577},
	author = {Sadeghian, Paria and Golshan, Arman and Zhao, Mia Xiaoyun and Hakansson, Johan},
	doi = {10.1007/s11116-024-10472-x},
	journal-iso = {TRANSPORTATION},
	journal = {TRANSPORTATION},
	unique-id = {35016577},
	issn = {0049-4488},
	keywords = {Unsupervised learning; Deep learning; GPS tracking data; LSTM autoencoder; Travel identification},
	year = {2024},
	eissn = {1572-9435},
	orcid-numbers = {Sadeghian, Paria/0000-0001-7190-2640}
}

@article{MTMT:34850697,
	title = {The influence of app function evolution on transport SuperApp use behaviour over time},
	url = {https://m2.mtmt.hu/api/publication/34850697},
	author = {Rizki, Muhamad and Joewono, Tri Basuki and Susilo, Yusak O.},
	doi = {10.1007/s11116-024-10485-6},
	journal-iso = {TRANSPORTATION},
	journal = {TRANSPORTATION},
	volume = {&},
	unique-id = {34850697},
	issn = {0049-4488},
	abstract = {In the past few decades, there has been a significant increase in smartphone apps that are designed to help users optimise their daily activities. As a result, there has been a noticeable impact on travel demand. Some of these apps have evolved with the incorporation of additional functions in a gradual transformation into multi-function apps or SuperApps, thereby providing users with more integrated and personalised services for a wider range of activities. Focusing on Transport SuperApps (TSA) in Indonesia, this study aims to investigate how app usage behaviour interacts with the evolving functions of these apps over time. The study further examines the influence of personality traits, socio-demographic factors, and residential location on app usage patterns. In this study, longitudinal data on TSA usage from 2015–2022 was collected from users in four Indonesian cities. The Latent Markov (LMM) and Negative Binomial (NBM) Models were used to analyse the transition of behaviours, app types, and the number of apps used. The findings reveal that transport and shopping services are the most popular and consistently utilised services by users. The results suggest that the introduction of new services has a positive impact on the number of TSA services used. However, some services were found to be used only temporarily, primarily serving as alternatives to support users’ daily needs and desires. Initial higher service usage was observed among educated users with sociable and disorganised personalities, while discontinuation of usage is associated with older users and affluent households. Higher transition and continuation to use more services are also observed in larger cities like Jakarta compared to smaller cities like Cianjur.},
	year = {2024},
	eissn = {1572-9435},
	pages = {&}
}

@article{MTMT:34836297,
	title = {Who is inclined to buy an autonomous vehicle. empirical evidence from California},
	url = {https://m2.mtmt.hu/api/publication/34836297},
	author = {Md., Mokhlesur Rahman and Thill, Jean-Claude},
	doi = {10.1007/s11116-024-10490-9},
	journal-iso = {TRANSPORTATION},
	journal = {TRANSPORTATION},
	unique-id = {34836297},
	issn = {0049-4488},
	year = {2024},
	eissn = {1572-9435}
}

@article{MTMT:34626588,
	title = {Preferred streets: assessing the impact of the street environment on cycling behaviors using the geographically weighted regression},
	url = {https://m2.mtmt.hu/api/publication/34626588},
	author = {Zhao, Bingbing and Deng, Yufan and Luo, Liang and Deng, Min and Yang, Xuexi},
	doi = {10.1007/s11116-024-10463-y},
	journal-iso = {TRANSPORTATION},
	journal = {TRANSPORTATION},
	unique-id = {34626588},
	issn = {0049-4488},
	keywords = {Built environment; Geographically weighted regression; Preferred streets; Cycling trajectories},
	year = {2024},
	eissn = {1572-9435}
}

@article{MTMT:34575275,
	title = {Eastern paradigm of urban mobility: the case of Erbil city, Iraq},
	url = {https://m2.mtmt.hu/api/publication/34575275},
	author = {Alsabbagh, Hadeel},
	doi = {10.1007/s11116-024-10464-x},
	journal-iso = {TRANSPORTATION},
	journal = {TRANSPORTATION},
	unique-id = {34575275},
	issn = {0049-4488},
	year = {2024},
	eissn = {1572-9435}
}

@article{MTMT:34501034,
	title = {Assessment of the activity scheduling optimization method using real travel data},
	url = {https://m2.mtmt.hu/api/publication/34501034},
	author = {Toaza, Bladimir and Esztergár-Kiss, Domokos},
	doi = {10.1007/s11116-023-10456-3},
	journal-iso = {TRANSPORTATION},
	journal = {TRANSPORTATION},
	unique-id = {34501034},
	issn = {0049-4488},
	abstract = {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 optimize the total travel time of their daily activity schedule. This paper aims to apply the ACO method and evaluate its performance using a real-world household survey dataset, where activity chains of up to 15 activities during a day are considered. The optimization is developed using the genetic algorithm (GA) metaheuristic with suitable parameters selected and the branch-and-bound exact algorithm. The findings demonstrate that the branch-and-bound solution exhibits superior performance for smaller activity chain sizes, while the GA outperforms computationally for activity chains with a size from nine. However, the GA found the solutions in only 2% of the time compared to the branch-and-bound method. By applying the ACO method, relevant time savings and emission reduction can be achieved for travelers, when realizing daily activities.},
	keywords = {Heuristic algorithm; Route optimization; activity scheduling; flexible activities; Travel time reduction},
	year = {2024},
	eissn = {1572-9435},
	orcid-numbers = {Esztergár-Kiss, Domokos/0000-0002-7424-4214}
}