THE QUALITY OF AIRPORT BUS SERVICE PERCEIVED AND DESIRED BY TRAVELERS IN JUANDA AIRPORT SURABAYA (Case Study of Perum Damri Indonesia and Flygbussarna Sweden)
| Main Authors: | , MAULIDIAH RAHMAWATI, , Prof. Ir. Sigit Priyanto, MSc., Ph.D. |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2012
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/97829/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=53849 |
Daftar Isi:
- In line with the increasing number of air travelers, the needs of integrated transport mode have also been growing rapidly. As integrated transport mode, airport ground access is required to facilitate the movement of air travelers for going to and from airport. However, airport ground access still faces with some problems related with low level of airport bus service. It makes high usage of private vehicle that impact on environmental condition surrounding the airport. The research is aimed to observe service features on two objects, to identify market segmentation of air travelers, to analyze the quality of airport bus service considering on traveler�s perception and preference and to identify the variability of utility maximization from airport bus users and non-users in Juanda Airport Indonesia. The research is conducted through descriptive and explanatory research. Airport bus service provided by Perum Damri Indonesia and Flygbussarna Sweden are used as observation objects. Questionnaires were designed and implemented as a part of the research. It was distributed to 300 respondents at airport and bus station to obtain primary data related with personal characteristics, perception and preference of airport bus service provided by Perum Damri Indonesia in Juanda Airport Surabaya. Three types of analysis are used to analyze airport bus service. Cluster analysis is employed to identify market segmentation, factor analysis for perception and multinomial logit analysis for preference. From cluster analysis, three segments of air traveler are identified. In factor analysis, 24 attributes are extracted into 7 factors. The influential attributes are identified from multinomial logit model in choice-based stated preference. Based on that analysis, service improvement can be provided considering on air traveler preferences.