Pemilihan Lokasi Stasiun Bike Sharing di Kota Surakarta Menggunakan Metode TOPSIS Berbasis GIS dan Open Data

Elisa Harlia Sandi, Muhammad Rizal Fernandita Pamungkas

Abstract

Transportasi perkotaan yang berbasis mobilitas aktif telah menjadi komponen penting dalam sistem transportasi perkotaan di seluruh dunia. Mobilitas aktif merupakan mobilitas yang melibatkan aktivitas fisik seperti berjalan, bersepeda maupun moda transportasi selain kendaraan bermotor. Selain mengurangi kemacetan lalu lintas dan polusi udara, mobilitas aktif juga mendorong aktivitas fisik dan meningkatkan kesehatan masyarakat. Pasca pandemi Covid-19, kesadaran terhadap kesehatan dan transportasi ramah lingkungan menjadi perhatian di seluruh dunia. Moda transportasi bersepeda telah menjadi bagian transportasi perkotaan yang ramah lingkungan dan saat ini pengembangan sistem bike sharing telah banyak digunakan di banyak negara. Sistem bike sharing merupakan sistem berbagi sepeda secara bersama-sama dengan karakteristik untuk perjalanan jarak dekat dan penggunaannya yang singkat secara waktu. Penggunaan bike sharing merupakan langkah untuk mempromosikan mobilitas aktif. Namun, implementasi bike sharing tidak selalu berhasil di semua kota. Beberapa faktor seperti infrastruktur yang buruk, kurangnya promosi, dan perencanaan lokasi yang tidak efisien dapat menjadi penyebab kegagalan program bike sharing. Oleh karena itu, penempatan stasiun bike sharing merupakan aspek penting dalam memastikan keberhasilan program tersebut. Penggunaan Sistem Informasi Geografis (SIG) dapat menjadi alat yang efektif. Konsep bike sharing juga sejalan dengan pengembangan kota cerdas, yang bertujuan untuk mewujudkan transportasi ramah lingkungan dengan memanfaatkan teknologi informasi, terutama dalam hal penyediaan data secara terbuka (open data). Penelitian ini bertujuan untuk menentukan lokasi ideal stasiun bike sharing serta berkontribusi pada pengembangan sistem transportasi yang lebih berkelanjutan dan efisien di Kota Surakarta. Penelitian ini menggunakan pendekatan SIG multi kriteria berbasis metode Technique for Order Preference by Similiarity to the Ideal Solution (TOPSIS) untuk menentukan lokasi ideal stasiun bike sharing. Hasil penelitian ini terdapat tujuh lokasi potensial pengembangan stasiun bike sharing berdasarkan tingkat bikeability.

Keywords

analisis pengambilan keputusan multikriteria; bike sharing; Kota Surakarta; Sistem Informasi Geografis; TOPSIS

Full Text:

PDF

References

Afshari, M., Temeljotov Salaj, A., Johansen, A., & Lohne, J. (2023). Developing approaches and strategies to promote increased active mobility in urban city neighbourhood. IOP Conference Series: Earth and Environmental Science, 1196(1). https://doi.org/10.1088/1755-1315/1196/1/012072

Andriani, D. M., & Yuliastuti, N. (2013). Penilaian Sistem Transportasi yang Mengarah Pada Green Transportasi di Kota Surakarta. Jurnal Pembangunan Wilayah & Kota, 9(2), 183–193. https://doi.org/10.14710/pwk.v9i2.6535

Arellana, J., Saltarín, M., Larrañaga, A. M., González, V. I., & Henao, C. A. (2020). Developing an urban bikeability index for different types of cyclists as a tool to prioritise bicycle infrastructure investments. Transportation Research Part A: Policy and Practice, 139, 310–334. https://doi.org/10.1016/j.tra.2020.07.010

Bieliński, T., Kwapisz, A., & Wazna, A. (2019). Bike-sharing systems in Poland. Sustainability, 11(9), 1–14. https://doi.org/10.3390/su11092458

Broach, J., Dill, J., & Gliebe, J. (2012). Where do cyclists ride? A route choice model developed with revealed preference GPS data. Transportation Research Part A: Policy and Practice, 46(10), 1730–1740. https://doi.org/10.1016/j.tra.2012.07.005

Clockston, R. L. M., & Rojas-Rueda, D. (2021). Health impacts of bike-sharing systems in the U.S. Environmental Research, 202, 111709. https://doi.org/10.1016/j.envres.2021.111709

Croci, E., & Rossi, D. (2014). Optimizing the Position of Bike Sharing Stations. The Milan Case. In SSRN Electronic Journal (No. 68). https://doi.org/10.2139/ssrn.2461179

Daniella, D., & Dharma Wangsa, A. A. (2019). Leveraging Integrated Bike-Sharing with Existing Bus Rapid Transit (BRT) to Reduce Motor Vehicle in Central Jakarta Municipal. Geoplanning, 6(1), 13–20. https://doi.org/10.14710/geoplanning.6.1.13-20

Derek, J., & Sikora, M. (2019). Bicycle Route Planning Using Multiple Criteria GIS Analysis. International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 1–5. IEEE. Diakses dari https://ieeexplore.ieee.org/document/8903800

Fan, Y., & Zheng, S. (2020). Dockless bike sharing alleviates road congestion by complementing subway travel: Evidence from Beijing. Cities, 107, 102895. https://doi.org/10.1016/j.cities.2020.102895

Ferretto, L., Bruzzone, F., & Nocera, S. (2021). Pathways to active mobility planning. Research in Transportation Economics, 86, 101027. https://doi.org/10.1016/j.retrec.2020.101027

Foster, N., Monsere, C. M., Dill, J., & Clifton, K. (2019). Level-of-Service Model for Protected Bike Lanes. Journal of the Transportation Research Board, 2520(1). https://doi.org/https://doi.org/10.3141/2520-11

Fuller, D., Gauvin, L., Kestens, Y., Morency, P., & Drouin, L. (2013). The potential modal shift and health benefits of implementing a public bicycle share program in Montreal, Canada. International Journal of Behavioral Nutrition and Physical Activity, 10, 1–7. https://doi.org/10.1186/1479-5868-10-66

Hatzopoulou, M., & Miller, E. J. (2008). Institutional integration for sustainable transportation policy in Canada. Transport Policy, 15(3), 149–162. https://doi.org/https://doi.org/10.1016/j.tranpol.2007.12.002

Held, M., Schindler, J., & Litman, T. (2016). Cycling and active mobility – establishing a third pillar of transport policy. In Cycling Futures: From Research into Practice (pp. 209–225). https://doi.org/10.4324/9781315575742-20

Hivon, J., & Titah, R. (2017). Conceptualizing citizen participation in open data use at the city level Article information. Transforming Government: People, Process and Policy, 11(1). Diakses dari https://www.emerald.com/insight/content/doi/10.1108/TG-12-2015-0053/full/html

Jäppinen, S., Toivonen, T., & Salonen, M. (2013). Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach. Applied Geography, 43, 13–24. https://doi.org/10.1016/j.apgeog.2013.05.010

Kellstedt, D. K., Spengler, J. O., Foster, M., Lee, C., & Maddock, J. E. (2020). A Scoping Review of Bikeability Assessment Methods. Journal of Community Health, 46(1), 211–224. https://doi.org/https://doi.org/10.1007/s10900-020-00846-4

Khajehshahkoohi, M., Davoodi, S. R., & Shaaban, K. (2022). Factors affecting the behavioral intention of tourists on the use of bike sharing in tourism areas. Research in Transportation Business and Management, 43, 100742. https://doi.org/10.1016/j.rtbm.2021.100742

Kurniadhini, F., & Roychansyah, M. S. (2020). The suitability level of bike-sharing station in Yogyakarta using SMCA technique. IOP Conference Series: Earth and Environmental Science, 451(1). https://doi.org/10.1088/1755-1315/451/1/012033

Lowry, M. B., Callister, D., Gresham, M., & Moore, B. (2012). Assessment of Communitywide Bikeability with Bicycle Level of Service. Journal of the Transportation Research Board, 2314(1). https://doi.org/https://doi.org/10.3141/2314-06

Lowry, M. B., Furth, P., & Hadden-Loh, T. (2016). Prioritizing new bicycle facilities to improve low-stress network connectivity. Transportation Research Part A: Policy and Practice, 86, 124–140. https://doi.org/10.1016/j.tra.2016.02.003

Lu, W., Scott, D. M., & Dalumpines, R. (2018). Understanding bike share cyclist route choice using GPS data: Comparing dominant routes and shortest paths. Journal of Transport Geography, 71, 172–181. https://doi.org/10.1016/j.jtrangeo.2018.07.012

Mishra, S., Bhattacharya, D., Chaturvedi, A., & Singh, N. (2022). Assessing micro-mobility services in pandemics for studying the 10-minutes cities concept in India using geospatial data analysis: an application. Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 1–10. https://doi.org/https://doi.org/10.1145/3557991.3567788

Otero, I., Nieuwenhuijsen, M. J., & Rojas-Rueda, D. (2018). Health impacts of bike sharing systems in Europe. Environment International, 115, 387–394. https://doi.org/10.1016/j.envint.2018.04.014

Qiu, L. Y., & He, L. Y. (2018). Bike sharing and the economy, the environment, and health-related externalities. Sustainability, 10(4), 1–10. https://doi.org/10.3390/su10041145

Rojas-Rueda, D., de Nazelle, A., Teixidó, O., & Nieuwenhuijsen, M. J. (2012). Replacing car trips by increasing bike and public transport in the greater Barcelona metropolitan area: A health impact assessment study. Environment International, 49, 100–109. https://doi.org/10.1016/j.envint.2012.08.009

Sanmiguel-Rodríguez, A. (2022). Bike-sharing systems: Effects on physical activity in a Spanish municipality. Physical Activity Review, 10(2), 66–76. https://doi.org/10.16926/PAR.2022.10.22

Tang, Y., Pan, H., & Shen, Q. (2011). Bike-Sharing Systems in Beijing, Shanghai, and Hangzhou and Their Impact on Travel Behavior. Transportation Research Board 90th Annual Meeting. Washington, D.C. Diakses dari https://trid.trb.org/view/1093278

Wahyudi, A. A., Widowati, Y. R., & Nugroho, A. A. (2022). Strategi Implementasi Smart City Kota Bandung. Jurnal Good Governance. https://doi.org/10.32834/gg.v18i1.460

Wang, M., & Zhou, X. (2017). Bike-sharing systems and congestion: Evidence from US cities. Journal of Transport Geography, 65, 147–154. https://doi.org/10.1016/j.jtrangeo.2017.10.022

Waqas, M., Dong, Q. L., Ahmad, N., Zhu, Y., & Nadeem, M. (2018). Understanding acceptability towards sustainable transportation behavior; A case study of China. Sustainability, 10(10). https://doi.org/10.3390/su10103686

Wasfi, R. A., Ross, N. A., & El-Geneidy, A. M. (2013). Achieving recommended daily physical activity levels through commuting by public transportation: Unpacking individual and contextual influences. Health and Place, 23, 18–25. https://doi.org/10.1016/j.healthplace.2013.04.006

WHO. (2021). Physical Activity Fact Sheet. World Health Organization, 1–8. Diakses dari https://www.who.int/publications/i/item/WHO-HEP-HPR-RUN-2021.2

Winters, M., Braurer, M., Setton, E. M., & Teschke, K. (2013). Mapping Bikeability: A Spatial Tool to Support Sustainable Travel. Environment and Planning B: Urban Analytics and City Science, 40(5), 865–883. https://doi.org/https://doi.org/10.1068/b38185

Wysling, L., & Purves, R. S. (2022). Where to improve cycling infrastructure? Assessing bicycle suitability and bikeability with open data in the city of Paris. Transportation Research Interdisciplinary Perspectives, 15, 100648. https://doi.org/10.1016/j.trip.2022.100648

Yang, H., Zhang, Y., Zhong, L., Zhang, X., & Ling, Z. (2020). Exploring spatial variation of bike sharing trip production and attraction: A study based on Chicago’s Divvy system. Applied Geography, 115, 102130. https://doi.org/10.1016/j.apgeog.2019.102130

Zhang, Y., & Mi, Z. (2018). Environmental benefits of bike sharing: A big data-based analysis. Applied Energy, 220, 296–301. https://doi.org/10.1016/j.apenergy.2018.03.101

Refbacks

  • There are currently no refbacks.