METHODOLOGICAL FRAMEWORK IN APPLYING GEOGRAPHIC INFORMATION SYSTEM (GIS) FOR PARKING SPACES DATA
DOI:
https://doi.org/10.24191/mjoc.v8i2.24075Keywords:
Availability, Geographical Information System (GIS), Parking SpacesAbstract
The primary objective of this study is to explore the potential utility of Geographic Information Systems (GIS) in assessing the distribution and availability of parking spaces within urban areas throughout the day. The research focused on the parking facilities within the Majlis Bandaraya Petaling Jaya region in 2022. The dataset encompassed pertinent details such as the geographical coordinates of each parking location, individual parking capacity, the classification of adjacent roadways, and associated pricing information. This comprehensive parking dataset was sourced from the local municipal authority. The investigation entailed correlating parking occupancy rates with factors like parking fees and the time of day. The identification of accessible parking spots and their respective occupancy rates was facilitated through the utilization of a GIS query builder. The Majlis Bandaraya Petaling Jaya effectively employs a computerized geographic information system to manage, process, analyze, and generate geographical and attribute-related information. This system necessitates software, technological infrastructure, databases, procedural frameworks, and human expertise to efficiently manage the accumulated information. Among the diverse applications of GIS, geospatial data analysis is a pivotal component. The findings of this study revealed two significant outcomes: firstly, the conversion of Google Earth's imagery sensing data into a Geographic Information System format was successfully accomplished; and secondly, GIS demonstrated its viability as a tool for comprehensively studying parking lot occupancy across various levels of analysis. The utilization of distribution or mapping maps notably simplifies the tracking of intricate data sets. Therefore, the formulation of distribution maps for parking lot occupancy proves imperative in addressing traffic congestion and related inconveniences. Employing a GIS-based approach to parking spot identification could also contribute insights into the realms of traffic congestion and pedestrian safety within urban settings.
References
Arcgis.com. A quick tour of map layers—Help | ArcGIS for Desktop. (2016). https://desktop.arcgis.com/en/arcmap/10.3/map/working-with-layers/a-quick-tour-ofmap-layers.htm
Ahmad, H., Hamzah, P., Yasin, Z. M., & Shariff, S. S. R. (2014, January). Location routing inventory problem with transshipment (LRIP-T). In Proceedings of the 2014 International Conference on Industrial Engineering and Operations Management (pp.1595-1605).
Behrendt, W. C. (1940). Off-street parking: A city planning problem. J. Land & Pub. Util. Econ., 16, 464.
Giannopoulous, M., Vavatsikos, A. P., Lykostratis, K., & Roukouni, A. (2017). Using GIS to analyse parking attributes in urban areas. Plurimondi, (17).
Glaab, J. (2017). Extracting Parking Areas from Remote Sensing Imagery and Spatiotemporal Traffic Data. DigitalCommons@URI. Available at: https://digitalcommons.uri.edu/theses/1056/
Huang, Y. H., & Hsieh, C. H. (2022). A decision support system for available parking slots on the roadsides in urban areas. Expert Systems with Applications, 205, 117668.
Khairuzzaman, M. G., Othman, S., Adnan, R., & Ismail, N. (2020). Analyzing user behaviour and page views based on visitor traffic in kolej universiti poly-tech mara website using google analytic. Malaysian Journal of Computing (MJoC), 5(1), 446-455.
Lim, A. (2022, June 13). More cars than people in Malaysia at present? Not likely, as 33 mil figure is total registrations since 1946. Paul 'Tan’s Automotive News. https://paultan.org/2022/06/13/more-cars-than-people-in-malaysia-at-present-notlikely-as-33-mil-figure-is-total-registrations-since-1946/
Moura, F., & de Silva, J. D. A. (2019). Smart cities: Definitions, evolution of the concept and examples of initiatives. Industry, innovation and infrastructure. Encyclopedia of the UN Sustainable Development. Cham: Springer.
Obaidat, M. T. (2008). GIS potential in parking Lots studies. ICCBT-E-(16), 193, 202.
Parmar, J., Das, P., & Dave, S. M. (2020). Study on demand and characteristics of parking system in urban areas: A review. Journal of Traffic and Transportation Engineering (English Edition), 7(1), 111-124.
Rashindra, A. D., Zulkarnaen, G. S., Pahala, Y., & Saidah, D. (2023). Application and design of production room layout with 5S-ARC method to reduce waste (case study on rubber industry production). Malaysian Journal of Computing (MJoC), 8(1), 1414-1426.
Riggs, W. (2014). Dealing with parking issues on an urban campus: The case of UC Berkeley. Case Studies on Transport Policy, 2(3), 168-176.
Rye, T., & Koglin, T. (2014). Parking management. In Parking issues and policies. Emerald Group Publishing Limited.
Tuan Hassan, T. M. H., & Masrom, M. (2022). Determining optimal transportation allocation using linear programming methods. Malaysian Journal of Computing (MJoC), 7(2), 1082-1099.
Watene, G., Musiega, D., & Ndegwa, C. (2013). A GIS Based Parking Management and Dissemination System. International Journal of Science and Research, 2, 2319–7064.
Ya’acob, N., Azize, A. M., & Alam, N. M. R. N. Z. (2016). Parking system using Geographic Information System (GIS). 2016 IEEE Conference on Systems, Process and Control (ICSPC).
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Copyright (c) 2025 Siti Nurzafira Mohamad Taufik, Siti Zaharah Ishak, Zaharah Mohd Yusoff , Mohd Nizar Mohd Jaafar, Sekhar Somenahalli
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