High Resolution Remote Sensing Data Application to Assess Parking Space in Urban Area

https://doi.org/10.22146/ijg.57604

Suharyadi Suharyadi(1*), Iswari Nur Hidayati(2)

(1) Faculty of Geography, Universitas Gadjah Mada, Yogyakarta
(2) Faculty of Geography, Universitas Gadjah Mada, Yogyakarta
(*) Corresponding Author

Abstract


The increase population in a large city such as Yogyakarta has caused an increase in the number of cars. The large number of cars created another problem of limited parking space in the city. Currently, there is a lack of a spatial approach to solve the problem of parking space. With the availability of high-resolution remote sensing data, the business area in the city can be mapped accurately. This study aims to map the business zone in Yogyakarta City and to estimate the needs of parking space for trade, service, and education centers in Yogyakarta City using remote sensing imagery. The business zone really needs a parking area because many people as producers for loading goods and consumers buy at these stores. The method used to estimate the vehicle parking space requirement is a combination of field surveys and the interpretation of remote sensing images. The field survey was used to obtain the characteristics of the visitors, and the volume of filled parking space. Meanwhile, remote sensing imagery was used to obtain spatial data of land use. The parking requirements of commercial buildings are 2.25-3.15 spaces per 100 m2, offices are 1.0-1.60 spaces per 100 m2, hotels are 0.25-0.35 spaces for each sleeping room, theaters are 0.06 spaces for every seat, hospitals are 0.60 spaces for each bed, and schools are 0.10 space for every student. This paper demonstrated the use of remote sensing to solve urban vehicle problems, and such information can be used for city planning.


Keywords


Parking requirements; remote sensing; urban areas

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References

Al-Turjman, F., & Malekloo, A. (2019). Smart parking in IoT-enabled cities: A survey. Sustainable Cities and Society, 49(December 2018). https://doi.org/10.1016/j.scs.2019.101608

Aliniai, K., Yarahmadi, A., Zarin, J. Z., Yarahmadi, H., & Lak, S. B. (2015). Parking Lot Site Selection: An Opening Gate Towards Sustainable GIS-based Urban Traffic Management. Journal of the Indian Society of Remote Sensing, 43(4), 801–813. https://doi.org/10.1007/s12524-014-0415-3

Anderson, J. R., Hardy, E. E., & Roach, J. T. (1976). A Land Use and Land Cover Classification System for Use with Remote Sensor Data.

Bendouda, M. (2018). Urban Road Network Extraction from Remote Sensing Images Using an Improved F * Algorithm. Journal of the Indian Society of Remote Sensing, 46(7), 1053–1060. https://doi.org/10.1007/s12524-018-0773-3

Direktorat Jenderal Perhubungan Darat. (1998). Pedoman Perencanaan dan Pengoperasian Fasilitas Parkir. Jakarta.

Dogru, A., Malaitham, S., Okamura, M., Fukuda, A., & Fukuda, T. (2017). Parking Management Policies Based on Behavior Analysis at Fatih District in Istanbul, Turkey. Transportation Research Procedia, 25, 5205–5219. https://doi.org/10.1016/j.trpro.2018.02.048

Dowling, C., Fiez, T., Ratliff, L., & Zhang, B. (2017). How Much Urban Traffic is Searching for Parking? Simulating Curbside Parking as a Network of Finite Capacity Queues, (February). Retrieved from http://arxiv.org/abs/1702.06156

Fadeyev, D. (2017). Method for Evaluating Economic Efficiency of Parking Management Tools. Transportation Research Procedia, 20(September 2016), 193–199. https://doi.org/10.1016/j.trpro.2017.01.050

Lung, T., Lübker, T., Ngochoch, J. K., & Schaab, G. (2013). Human population distribution modelling at regional level using very high resolution satellite imagery. Applied Geography, 41, 36–45. https://doi.org/10.1016/j.apgeog.2013.03.002

OECD/European Commission. (2020). Cities in the World: A new perspective on urbanisation. OECD Urban Studies, 171. Retrieved from https://www.oecd-ilibrary.org/urban-rural-and-regional-development/cities-in-the-world_d0efcbda-en

Pojani, D., & Stead, D. (2015). Sustainable urban transport in the developing world: Beyond megacities. Sustainability (Switzerland), 7(6), 7784–7805. https://doi.org/10.3390/su7067784

Ramadani, V., Zendeli, D., Gerguri-Rashiti, S., & Dana, L. P. (2018). Impact of geomarketing and location determinants on business development and decision making. Competitiveness Review, 28(1), 98–120. https://doi.org/10.1108/CR-12-2016-0081

Stossel, Z., Kissinger, M., & Meir, A. (2017). Modeling the Contribution of Existing and Potential Measures to Urban Sustainability Using the Urban Biophysical Sustainability Index (UBSI). Ecological Economics, 139, 1–8. https://doi.org/10.1016/j.ecolecon.2017.03.039

Suharyadi, R. (2011a). Hybrid Interpretation of medium spatial resolution satellite imagery for urban study in building densification area (the case of Yogyakarta urban area. Gadjah Mada University.

Suharyadi, R. (2011b). Interpretasi hibrida citra satelit resolusi spasial menengah untuk kajian densifikasi bangunan daerah perkotaan (kasus daerah perkotaan Yogyakarta. Universitas Gadjah Mada.

Sweet, M. N., & Ferguson, M. R. (2019). Parking demand management in a relatively uncongested university setting. Case Studies on Transport Policy, 7(2), 453–462. https://doi.org/10.1016/j.cstp.2019.01.008

Text, F. (2020). Construction Of Parking Shed At 220 Kv Gis Sub- station Wazirpur . [ Tender documents :, 1–2.

Transportation, D. G. of L. (1998). Guidelines for planning and operating parking facilities. Jakarta: Directorate General of Land Transportation.

Vîlcea, C., & Șoșea, C. (2020). A GIS-based analysis of the urban green space accessibility in Craiova city, Romania. Geografisk Tidsskrift - Danish Journal of Geography , 120(1), 19–34. https://doi.org/10.1080/00167223.2020.1766365

Wang, F., Fan, W., Lin, X., Liu, J., & Ye, X. (2020). Does population mobility contribute to urbanization convergence? Empirical evidence from three major urban agglomerations in China. Sustainability (Switzerland), 12(2), 1–20. https://doi.org/10.3390/su12020458

Wang, P., Guan, H., & Liu, P. (2019). Modeling and solving the optimal allocation-pricing of public parking resources problem in urban-scale network. Transportation Research Part B: Methodological, (xxxx). https://doi.org/10.1016/j.trb.2019.03.003

Wirawan, H. . (2014). Use of Data Remote Sensing and Geographic Information System for Assessment Services Bus Stop Trans Jogja in Yogyakarta Urban region. Gadjah Mada University.

Zhang, P., & Qian, Z. (Sean). (2019). Managing traffic with raffles. Transportation Research Part C: Emerging Technologies, 107(September), 490–509. https://doi.org/10.1016/j.trc.2019.09.002

 



DOI: https://doi.org/10.22146/ijg.57604

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Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 30/E/KPT/2018, Vol 50 No 1 the Year 2018 - Vol 54 No 2 the Year 2022

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