TY - JOUR AU - Zhao, Bingbing AU - Deng, Yufan AU - Luo, Liang AU - Deng, Min AU - Yang, Xuexi TI - Preferred streets: assessing the impact of the street environment on cycling behaviors using the geographically weighted regression JF - TRANSPORTATION J2 - TRANSPORTATION PY - 2024 PG - 27 SN - 0049-4488 DO - 10.1007/s11116-024-10463-y UR - https://m2.mtmt.hu/api/publication/34626588 ID - 34626588 LA - English DB - MTMT ER - TY - JOUR AU - Alsabbagh, Hadeel TI - Eastern paradigm of urban mobility: the case of Erbil city, Iraq JF - TRANSPORTATION J2 - TRANSPORTATION PY - 2024 SN - 0049-4488 DO - 10.1007/s11116-024-10464-x UR - https://m2.mtmt.hu/api/publication/34575275 ID - 34575275 LA - English DB - MTMT ER - TY - JOUR AU - Toaza, Bladimir AU - Esztergár-Kiss, Domokos TI - Assessment of the activity scheduling optimization method using real travel data JF - TRANSPORTATION J2 - TRANSPORTATION PY - 2024 SN - 0049-4488 DO - 10.1007/s11116-023-10456-3 UR - https://m2.mtmt.hu/api/publication/34501034 ID - 34501034 N1 - Export Date: 26 January 2024 Correspondence Address: Toaza, B.; Department of Transport Technology and Economics, Műegyetem rkp. 3, Hungary; email: ltoaza93@edu.bme.hu Funding details: Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, NKFIA Funding text 1: Project no. TKP2021-NVA-02 has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-NVA funding scheme. AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Hossain, Sanjana AU - Loa, Patrick AU - Ong, Felita AU - Habib, Khandker Nurul TI - Exploring the spatiotemporal factors affecting bicycle-sharing demand during the COVID-19 pandemic JF - TRANSPORTATION J2 - TRANSPORTATION PY - 2023 PG - 36 SN - 0049-4488 DO - 10.1007/s11116-023-10378-0 UR - https://m2.mtmt.hu/api/publication/34678164 ID - 34678164 LA - English DB - MTMT ER - TY - JOUR AU - Bouzaghrane, Mohamed Amine AU - Obeid, Hassan AU - Hayes, Drake AU - Chen, Minnie AU - Li, Meiqing AU - Parker, Madeleine AU - Rodriguez, Daniel A. AU - Chatman, Daniel G. AU - Frick, Karen Trapenberg AU - Sengupta, Raja AU - Walker, Joan TI - Tracking the state and behavior of people in response to COVID-19 through the fusion of multiple longitudinal data streams JF - TRANSPORTATION J2 - TRANSPORTATION PY - 2023 PG - 32 SN - 0049-4488 DO - 10.1007/s11116-023-10449-2 UR - https://m2.mtmt.hu/api/publication/34678109 ID - 34678109 LA - English DB - MTMT ER - TY - JOUR AU - Dingil, Ali Enes AU - Pereira, Andre Maia AU - Pribyl, Ondrej AU - Vorel, Jakub TI - Evidence-based transport policy analysis driven by agent-based simulation: the case of mobility in Ústí nad Labem JF - TRANSPORTATION J2 - TRANSPORTATION PY - 2023 PG - 29 SN - 0049-4488 DO - 10.1007/s11116-023-10453-6 UR - https://m2.mtmt.hu/api/publication/34653555 ID - 34653555 LA - English DB - MTMT ER - TY - JOUR AU - Schandl, Franziska AU - Fischer, Peter AU - Hudecek, Matthias F. C. TI - Predicting acceptance of autonomous shuttle buses by personality profiles: a latent profile analysis JF - TRANSPORTATION J2 - TRANSPORTATION PY - 2023 PG - 24 SN - 0049-4488 DO - 10.1007/s11116-023-10447-4 UR - https://m2.mtmt.hu/api/publication/34648784 ID - 34648784 LA - English DB - MTMT ER - TY - JOUR AU - Zhou, H. AU - Dorsman, J. L. AU - Mandjes, M. AU - Snelder, M. TI - A tour-based multimodal mode choice model for impact assessment of new mobility concepts and mobility as a service JF - TRANSPORTATION J2 - TRANSPORTATION PY - 2023 PG - 27 SN - 0049-4488 DO - 10.1007/s11116-023-10443-8 UR - https://m2.mtmt.hu/api/publication/34645970 ID - 34645970 LA - English DB - MTMT ER - TY - JOUR AU - Yap, Menno AU - Wong, Howard AU - Cats, Oded TI - Public transport crowding valuation in a post-pandemic era JF - TRANSPORTATION J2 - TRANSPORTATION PY - 2023 PG - 20 SN - 0049-4488 DO - 10.1007/s11116-023-10420-1 UR - https://m2.mtmt.hu/api/publication/34464768 ID - 34464768 AB - It is important to understand how public transport passengers value on-board crowding since the outbreak of the COVID-19 pandemic. The main contribution of this study is to derive the crowding valuation of public transport passengers in a post-pandemic era entirely based on observed, actual passenger route choices. We derive passengers' crowding valuation for the London metro network based on a revealed preference discrete choice model using maximum likelihood estimation. We find that after the passenger load on-board the metro reaches the seat capacity, the in-vehicle time valuation increases by 0.42 for each increase in the average number of standing passengers per square metre upon boarding. When comparing this result to a variety of crowding valuation studies conducted before the pandemic in London and elsewhere, we can conclude that public transport passengers value crowding more negatively since the pandemic. Furthermore, we found a ratio between out-of-vehicle time and in-vehicle time of 1.94 pre-pandemic and of 1.92 post-pandemic, based on which we conclude that the relative waiting/walking time valuation did not significantly change since the COVID-19 pandemic. Our study results contribute to a better understanding on how on-board crowding in urban public transport is perceived in a European context since the outbreak of the COVID-19 pandemic. LA - English DB - MTMT ER - TY - JOUR AU - Tuitjer, Leonie AU - Schaefer, Kerstin J. TI - Immobility and COVID-19: comparing mobility reduction among socio-demographic groups in a large German city during the pandemic JF - TRANSPORTATION J2 - TRANSPORTATION PY - 2023 PG - 24 SN - 0049-4488 DO - 10.1007/s11116-023-10434-9 UR - https://m2.mtmt.hu/api/publication/34348804 ID - 34348804 AB - The COVID-19 pandemic and the public health measures imposed to tackle the spread of the virus have changed the everyday life and severely reduced the mobility of many. In this paper, we investigate the relationship between changed transport behavior and complex socio-demographic groups. Drawing on a survey on mobility and transport use during the pandemic for the Hanover region (Germany), we find three distinct clusters in our data related to changed mobility behavior: (1) people with no change in transport behavior, (2) people heavily reducing public transport use in the inner city, and (3) people reducing public transport use for their commute. In a second step, we use logistic regression models to understand the socio demographic factors determining each of these change patterns. The results show that women and younger participants were more likely to experience an impact on their travel behavior as well as reducing the use of inner-city public transport, while the reduction of commuter transport seems to be mostly homogeneous once controlled for teleworking. We also find a complex interplay between gender and other socio-demographic factors, especially caring responsibilities for children and student status, to have shaped the reported extent of mobility reduction. We show that we need to think about socio-demographic variables in a more complex way instead of perceiving of them as stand-alone variables. Our analysis hence helps to uncover the complex reality of mobility reduction during the pandemic, providing deeper insights into the (im)mobile reality of people's lives in times of COVID-19.Kindly check and confirm inserted city name are correctly identified.Yes, the city name is Hanover and thus corretly identified LA - English DB - MTMT ER -