skip to main content

Faktor-Faktor Pendorong Peningkatan Tren Pesepeda di DKI Jakarta

Katherine Yuliana Marpaung  -  IPB University, Indonesia
*Pini Wijayanti orcid scopus  -  Department of Resource and Environmental Economics, Faculty of Economics and Management., Indonesia
Yusman Syaukat  -  IPB University, Indonesia

Citation Format:
Abstract
Sektor transportasi di Indonesia berada di posisi kedua penyumbang emisi gas rumah kaca (GRK) terbanyak setelah sektor industri dan berkontribusi pada peningkatan emisi GRK di atmosfir melalui pembakaran bahan bakar fosil. Masyarakat mulai menyadari pentingnya melakukan aksi mitigasi bencana iklim, salah satunya melalui active transportation yang berpotensi menjadi solusi untuk mengurangi emisi GRK di sektor transportasi. Hal ini mulai banyak ditemui di DKI Jakarta karena bersepeda menarik perhatian masyarakat, terutama kalangan pekerja. Pekerja bersepeda atau ‘bike to work’ bahkan mendapatkan dukungan fasilitas dari instansi pemerintah dan swasta. Penyediaan fasilitas pendukung bersepeda di DKI Jakarta menimbulkan pro dan kontra. Penelitian ini bertujuan untuk  mengidentifikasi karakteristik pekerja bike to work dan motif utama pekerja bike to work. Penelitian ini menggunakan analisis deskriptif dan metode Regresi Logistik Multinomial (RLM) untuk mengetahui motif utama pekerja menggunakan sepeda sebagai moda transportasi ke tempat kerja. Hasil penelitian menunjukkan faktor-faktor pendorong  motif tersebut adalah jarak antara rumah ke lokasi kerja serta gender. Khususnya, mayoritas responden dengan karakteristik sosial ekonomi pekerja bike to work yang menengah ke atas memiliki motif utama kesehatan fisik (olahraga) dan mental. Hasil ini dapat menjadi input bagi pemerintah dalam merancang kebijakan yang mendukung penggunaan sepeda sebagai moda transportasi ramah lingkungan dan pengurangan kemacetan.

Note: This article has supplementary file(s).

Fulltext |  Data Analysis
Lampiran
Subject
Type Data Analysis
  Download (30KB)    Indexing metadata
Keywords: Bike to Work, Motif, Pekerja

Article Metrics:

  1. Bappeda Provinsi DKI Jakarta. (2022). Rencana Kerja Pemerintah Daerah (RKPD) Provinsi DKI Jakarta 2022. Retrieved from https://bappeda.jakarta.go.id/rkpd/
  2. Badan Pusat Statistik. (2024). Jumlah Kendaraan Bermotor Menurut Provinsi dan Jenis Kendaraan (unit). Retrieved March 4, 2024, from https://www.bps.go.id/id/statistics-table/3/VjJ3NGRGa3dkRk5MTlU1bVNFOTVVbmQyVURSTVFUMDkjMw==/jumlah-kendaraan-bermotor-menurut-provinsi-dan-jenis-kendaraan-unit-.html?year=2023
  3. Brown, T. D., O’Connor, J. P., & Barkatsas, A. N. (2009). Instrumentation and motivations for organised cycling: The development of the Cyclist Motivation Instrument (CMI). Journal of sports science & medicine, 8(2), 211-218
  4. Buehler, R., & Pucher, J. (2011). Sustainable transport in freiburg: Lessons from germany’s environmental capital. International Journal of Sustainable Transportation, 5(1), 43–70. DOI: https://doi.org/10.1080/15568311003650531
  5. Corti, B. G., Foster, S., Shilton, T., & Falconer, R. (2010). The co-benefits for health of investing in active transportation. New South Wales Public Health Bulletin, 21(5–6), 122–127. DOI: https://doi.org/10.1071/NB10027
  6. Garson, G. D. (2014). Logistic regression: Binary and multinomial. Asheboro: Statistical Publishing Associates
  7. European Cyclists’ Federation. (2016). The Global Goals. Retrieved from https://ecf.com/groups/cycling-delivers-global-goals
  8. Godavarthy, R. P., Mattson, J., & Ndembe, E. (2015). Cost-benefit analysis of rural and small urban transit in the United States. Transportation Research Record, 2533, 141–148. DOI: https://doi.org/10.3141/2533-16
  9. Greene, W. (2002). Econometric Analysis of Count Data Econometric Analysis of Count Data (3rd edition, Vol. 97; R Banister, Ed.). New Jersey: Pearson Education, Inc
  10. Hansen, K. B., & Nielsen, T. A. S. (2014). Exploring characteristics and motives of long distance commuter cyclists. Transport Policy, 35, 57–63. DOI: https://doi.org/10.1016/j.tranpol.2014.05.001
  11. Harrisson, T. (2021). The Carbon Brief Profile: Indonesia. Retrieved October 6, 2021, from https://www.carbonbrief.org/the-carbon-brief-profile-indonesia+/
  12. Heesch, K. C., Sahlqvist, S., & Garrard, J. (2012). Gender differences in recreational and transport cycling: a cross-sectional mixed-methods comparison of cycling patterns, motivators, and constraints. International Journal of Behavioral Nutrition and Physical Activity, 9, 1-12. Doi: https://doi.org/10.1186/1479-5868-9-106
  13. Hosmer, D. W., Lemeshow, Stanley., & Sturdivant, R. X. (2013). Applied logistic regression
  14. IPCC. (2007). Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergoverenmental Panel on Climate Change (IPCC). https://doi.org/10.1016/B978-008044910-4.00250-9
  15. Juanda, B. (2009). Ekonometrika Permodelan dan Pendugaan. Bogor: IPB Press
  16. Lindsay, G., Macmillan, A., & Woodward, A. (2011). Moving urban trips from cars to bicycles: Impact on health and emissions. Australian and New Zealand Journal of Public Health, 35(1), 54–60. DOI: https://doi.org/10.1111/j.1753-6405.2010.00621.x
  17. Lovelace, R., Goodman, A., Aldred, R., Berkoff, N., Abbas, A., & Woodcock, J. (2017). The Propensity to Cycle Tool: An open source online system for sustainable transport planning. Journal of transport and land use, 10(1), 505-528
  18. Manaugh, K., Boisjoly, G., & El-Geneidy, A. (2017). Overcoming barriers to cycling: understanding frequency of cycling in a University setting and the factors preventing commuters from cycling on a regular basis. Transportation, 44(4), 871–884. Doi: https://doi.org/10.1007/s11116-016-9682-x
  19. Mitra, R., Khachatryan, A., & Hess, P. M. (2021). Do new urban and suburban cycling facilities encourage more bicycling? Transportation Research Part D: Transport Environment, 97, 102915
  20. Piatkowski, D., Bronson, R., Marshall, W., & Krizek, K. J. (2015). Measuring the impacts of bike-to-work day events and identifying barriers to increased commuter cycling. Journal of Urban Planning and Development, 141(4), 04014034. DOI: https://doi.org/10.1061/(asce)up.1943-5444.0000239
  21. Shahan, Z. D., & Rodriguez, D. (2007). The Relationship between Bicycling Facilities and Bicycle Travel: A Comparative Study In The United States And The Netherlands
  22. Syaukat, Y., Sarma, M., Falatehan, A. F., & Bahtiar, R. (2014). Valuasi Ekonomi Dampak Kemacetan Lalu-Lintas Di DKI Jakarta. Jurnal Manajemen Pembangunan Daerah, 6(1), 70-81. DOI: https://doi.org/10.29244/jurnal_mpd.v6i1.24652
  23. Tomtom Traffic Index. (2021). Jakarta Traffic Report. Retrieved July 23, 2021, from https://www.tomtom.com/en_gb/traffic-index/jakarta-traffic/
  24. Widagdo, B., & Widayat. (2011). Permodelan Persamaan Struktural Aplikasi dalam Penelitian Manajemen. Malang (ID): UPT Penerbitan Universitas Malang
  25. Zhao, C., Nielsen, T. A. S., Olafsson, A. S., Carstensen, T. A., & Meng, X. (2018). Urban form, demographic and socio-economic correlates of walking, cycling, and e-biking: Evidence from eight neighborhoods in Beijing. Transport Policy, 64, 102–112. DOI: https://doi.org/10.1016/j.tranpol.2018.01.018

Last update:

No citation recorded.

Last update: 2025-04-03 16:27:43

No citation recorded.