FAKTOR PEMILIHAN MODA PENGUNJUNG CAR-FREE DAY KOTA BANDUNG
Abstract
This paper aims to reveal the dimension underlying variables that affect the trip makers; mode choice to reach Car-Free Day location, taking Bandung as a case study. Twelve variables are gathered from several works of literature, namely trip cost, parking cost, trip duration, trip distance, number of people on the trip, the highest number of lanes in the trip, the age of the trip maker(s), number of vehicle ownership, whether those are motorized or non-motorized, and the number of household member. Correlations between variables are more than possible to find in that amount. Therefore, a principal component analysis is used to group the variables into factors, representing the structure or dimension laid down beneath them. This method shows that four groups of variables, or factors, are generated. The result then is compared to some literature that priorly have been reviewed. The first dimension is called “trip characteristics” which elements are trip duration, the highest number of lanes in the trip, and trip distance. The second dimension, namely “out-of-pocket cost”, is built upon in-vehicle trip cost and parking cost. The third dimension is a group of three vehicle ownership, i.e car, motorcycle, and bicycle ownership, hence the name “vehicle ownership” dimension. The fourth dimension is labeled “trip-maker characteristics”, with its variables being the number people involved in the trip and the age of the trip-maker.
References
[2] Barus, L. S., & Rachman, H. O. (2019). IMPACT OF CAR-FREE DAY ON AIR POLLUTION AND ITS MULTIFARIOUS ADVANTAGES IN SUDIRMAN-THAMRIN STREET, JAKARTA. GEOMATE Journal, 17(62), 167–172. https://geomatejournal.com/geomate/article/view/681
[3] Bernaards, C. A., & Jennrich, R. I. (2005). Gradient Projection Algorithms and Software for Arbitrary Rotation Criteria in Factor Analysis. http://www.stat.ucla.edu/research/gpa
[4] Daoud, J. I. (2017). Multicollinearity and Regression Analysis. Journal of Physics: Conference Series, 949, 012009. https://doi.org/10.1088/1742-6596/949/1/012009
[5] de Dios Ortúzar, J., & Willumsen, L. G. (2011). Modelling transport. John wiley & sons.
[6] Eash, R. (1999). Destination and Mode Choice Models for Nonmotorized Travel. Transportation Research Record: Journal of the Transportation Research Board, 1674(1), 1–8. https://doi.org/10.3141/1674-01
[7] Goodwin, P. B. (1996). Empirical evidence on induced traffic. Transportation 1996 23:1, 23(1), 35–54. https://doi.org/10.1007/BF00166218
[8] Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2013). Multivariate Data Analysis 7th Edition. Pearson Education Limited. https://books.google.co.id/books?id=VvXZnQEACAAJ
[9] Koppelman, F. S., & Bhat, C. (2006). A Self Instructing Course in Mode Choice Modeling: Multinomial and Nested Logit Models.
[10] Manheim, M. L. (1979). Fundamentals of Transportation Systems Analysis (Vol. 1). The MIT Press.
[11] Revelle, W. (2022). psych: Procedures for Psychological, Psychometric, and Personality Research. Northwestern University, Evanston, Illinois. https://CRAN.R-project.org/package=psych
[12] Saputra, I. (2019). Analisis “Car-Free Days” Berdasarkan Persepsi Pengunjung Dalam Konteks Perubahan Perilaku Penggunaan Kendaraan Pribadi Studi Kasus :Car-Free Days Jalan Ir. H. Juanda (Dago). Warta Penelitian Perhubungan, 27, 453. https://doi.org/10.25104/warlit.v27i6.859
[13] Suraji, A., & Sulistio, H. (2010). Model kecelakaan sepeda motor pada suatu ruas jalan. Jurnal Transportasi, 10(1). https://doi.org/https://doi.org/10.26593/jtrans.v10i1.377.%25p
[14] Tamin, O. (2000). Perencanaan & Pemodelan Transportasi (2nd ed.). Penerbit ITB.
[15] Untermann, R. K. (1984). Accommodating the Pedestrian - Adapting Towns and Neighborhoods for Walking and Bicycling. Van Nostrand Reinhold Company.
[16] Vasconcelos, A. S., & Farias, T. L. (2017). The effect of parking in local accessibility indicators: Application to two different neighborhoods in the city of Lisbon. International Journal of Sustainable Built Environment, 6(1), 133–142. https://doi.org/10.1016/J.IJSBE.2017.02.006
