Analysis of Trip Generation of Student in Bukit Graha Praja Indah Housing, Manggala District, Makassar City
DOI:
https://doi.org/10.52722/p5snea12Keywords:
Journey, Generation, and SPSS MethodAbstract
Population movement in Bukit Graha Praja Indah Housing, which has a population of around 2,860 thousand people, is generally related to daily activities such as traveling to work, school, shopping, and social and recreational activities. Education is one of the basic needs in modern society so that travel for educational activities is the most common. This study uses a quantitative approach and statistical software such as SPSS to analyze regression and produce analysis results in numerical form, especially in simple or multiple regression to see the relationship between variables. Factors that influence student trip generation in Bukit Graha Praja Indah Housing include the type of vehicle used, the distance from home to school, and the route to school. The results of data analysis using SPSS show that the movement generation model in this housing can be explained by the following equation: Y = 0.110 + 0.526 X1 + 0.583 X4 - 0.298 X5. Factors that influence student movement generation are type of vehicle, distance from home to school, and route to school.
Downloads
References
[1] A. Susanti, R. E. Wibisono, and E. A. Kusuma, “Model Bangkitan Perjalanan Penduduk Perumahan Pinggiran Kota (Studi Kasus Perumahan Bukit Bambe Driyorejo Gresik),” publ. ris. n.a. politek. n.a. prot., vol. 2, no. 2, p. 55, Dec. 2020, doi: 10.26740/proteksi.v2n2.p55-66.
[2] D. Citrawati, I. Sholichin, and F. Estikhamah, “Analisis Bangkitan dan Pemodelan Pergerakan Mahasiswa Universitas Pembangunan Nasional "Veteran" Jawa Timur,,” jmenara, vol. 19, no. 1, pp. 101–110, Jan. 2024, doi: 10.21009/jmenara.v19i1.42675.
[3] T. A. Sitinjak, “Analisis Model Tarikan Pergerakan Sekolah Di Kota Palangka Raya: Analysis Of School Trip Attraction In Palangka Raya City,” n.a. ilm. teknik n.a., vol. 12, no. 1, pp. 1–7, Jan. 2024, doi: 10.33084/mits.v12i1.5469.
[4] M. Murdani, R. Anggraini, and M. Isya, “Pemodelan Bangkitan Pergerakan Berdasarkan Aktivitas Mandatory (Sekolah dan Bekerja) Komplek Perumahan di Kabupaten Aceh Barat,” J. Arsip Rekayasa Sipil Perencanaan, vol. 3, no. 1, pp. 45–51, Apr. 2020, doi: 10.24815/jarsp.v3i1.16454.
[5] J. J. E. Dzivon and R. N. A. Quao, “Modelling the influence of socio-demographic attributes on students’ trip generation at Kwame Nkrumah University of Science and Technology (KNUST) campus,” Urban, Planning and Transport Research, vol. 11, no. 1, p. 2276407, Dec. 2023, doi: 10.1080/21650020.2023.2276407.
[6] A. M. C. Rahayu, E. P. Raharjo, A. D. Dwipayana, and I. M. Suraharta, “Identifikasi Faktor Pengungkit Bangkitan dan Tarikan Perjalanan Kegiatan Industri (Studi Kasus Kawasan Industri di Kabupaten Bekasi),” JTTL, vol. 3, no. 1, pp. 23–28, May 2022, doi: 10.52920/jttl.v3i1.48.
[7] J. Mukherjee and B. Raghuram Kadali, “A comprehensive review of trip generation models based on land use characteristics,” Transportation Research Part D: Transport and Environment, vol. 109, p. 103340, Aug. 2022, doi: 10.1016/j.trd.2022.103340.
[8] S. N. Fuady, D. I. Arifin, and A. Purba, “Bangkitan dan Tarikan Pergerakan di Kawasan Pendidikan Kota Bandar Lampung,” JTrans, vol. 21, no. 1, pp. 37–44, Jun. 2021, doi: 10.26593/jtrans.v21i1.4827.37-44.
[9] Y. Fataroh, W. Kriswardhana, and N. N. Hayati, “Model Bangkitan Perjalanan Lalulintas pada Zona Pendidikan Sekolah Menengah Atas Negeri Jember,” FT, vol. 8, no. 1, pp. 42–50, Apr. 2020, doi: 10.24929/ft.v8i1.905.
[10] A. Roza, Y. Yusnita, A. M. Rusli, and Muchlisin, “Trip Attraction Model on the Education Center on Pangilun Mountain Area, Padang City:,” presented at the 4th International Conference on Sustainable Innovation 2020–Technology, Engineering and Agriculture (ICoSITEA 2020), Yogyakarta, Indonesia, 2021. doi: 10.2991/aer.k.210204.006.
[11] M. Vechione, S. Paudel, and O. Gurbuz, “Trip Distribution Patterns on a University Campus: A Smarter Travel Demand Forecasting Approach,” in 2021 IEEE International Smart Cities Conference (ISC2), Manchester, United Kingdom: IEEE, Sep. 2021, pp. 1–7. doi: 10.1109/ISC253183.2021.9562860.
[12] O. E. Semiun and E. Kalogo, “Probabilitas Bangkitan Perjalanan Berbasis Aktivitas dari Kawasan Perumahan di Kota Kupang,” TJ, vol. 10, no. 2, p. 158, Sep. 2020, doi: 10.29103/tj.v10i2.292.
[13] N. Afif and E. Gardjito, “Model Bangkitan dan Tarikan Pergerakan, di Jalan Veteran Lamongan Karena Perkembangan Kampus Unisla,” talentasipil, vol. 7, no. 1, p. 50, Feb. 2024, doi: 10.33087/talentasipil.v7i1.362.
[14] A. R. P. Muttaqien and Y. Basuki, “Trip Rate Model of Attraction in Higher Education Zone,” JACEE, vol. 3, no. 1, p. 1, Mar. 2020, doi: 10.30659/jacee.3.1.1-8.
[15] N. Nurmiswari, R. Anggraini, and S. Sugiarto, “Bangkitan Perjalanan Berdasarkan Jenis Pendidikan dan Pekerjaan di Kecamatan Mutiara Kabupaten Pidie,” J. Arsip Rekayasa Sipil Perencanaan, vol. 3, no. 1, pp. 52–60, Apr. 2020, doi: 10.24815/jarsp.v3i1.16455.
Journal Template
