Transportation systems require many challenges in providing seamless door-to-door mobility. The main initiatives are encouraging a shift from private to other transport modes by providing a fully integrated multimodal service in which the coordination and data sharing among different stakeholders are required. The idea of this paper is to analyze the mode choice, as well as the variables that affect the travelers' airport access mode choice. For that purpose, we used multinomial logistics (MNL) regression to determine probability of mode choice given various multimodal chain alternatives. The inputs of the proposed model were based on the answers from the participants of the online survey which was disseminated in Europe. Through more than 2000 answers to the survey, we collected the data related to the factors that influence the airport access mode choice, travelers' attitude, motives for traveling, as well as the socio-demographics of participants. Afterwards, we investigated the influence of the main factors that have an impact on the non-coordination in the multimodal travel chain. The obtained results highlight the impact of the factors "reliability" and "waiting time" in making mode choice.
Airport Access Mode Choice: Analysis of Passengers' Behavior in European Countries / Colovic, Aleksandra; Pilone, Salvatore Gabriele; Kukic, Katarina; Kalic, Milica; Dozic, Slavica; Babic, Danica; Ottomanelli, Michele. - In: SUSTAINABILITY. - ISSN 2071-1050. - ELETTRONICO. - 14:15(2022). [10.3390/su14159267]
Airport Access Mode Choice: Analysis of Passengers' Behavior in European Countries
Colovic, Aleksandra
;Pilone, Salvatore Gabriele;Ottomanelli, Michele
2022-01-01
Abstract
Transportation systems require many challenges in providing seamless door-to-door mobility. The main initiatives are encouraging a shift from private to other transport modes by providing a fully integrated multimodal service in which the coordination and data sharing among different stakeholders are required. The idea of this paper is to analyze the mode choice, as well as the variables that affect the travelers' airport access mode choice. For that purpose, we used multinomial logistics (MNL) regression to determine probability of mode choice given various multimodal chain alternatives. The inputs of the proposed model were based on the answers from the participants of the online survey which was disseminated in Europe. Through more than 2000 answers to the survey, we collected the data related to the factors that influence the airport access mode choice, travelers' attitude, motives for traveling, as well as the socio-demographics of participants. Afterwards, we investigated the influence of the main factors that have an impact on the non-coordination in the multimodal travel chain. The obtained results highlight the impact of the factors "reliability" and "waiting time" in making mode choice.File | Dimensione | Formato | |
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