Participatory Urban Management Using Web-based SDSS
Article Sidebar
Main Article Content
Abstract
Decision Support System (DSS) have been an important field in information system research, while a major limitation of these DSSs is their incapacity to take spatial and temporal data into account. In the real world, many decision problems are spatially collaborative in nature. As a result, the research interests in integrating Geographic Information Systems (GIS) and DSS have sprung up in the past decades. Accordingly, the Spatial Decision Support System (SDSS) was created, which provides a framework for integrating database management systems with analytical models, graphical display and tabular reporting capabilities. However, when dealing with urban development issues, these SDSSs have been traditionally recognized as centralized, bureaucratic and top-down approaches carried out by municipal planning offices, planning authorities and other stakeholders. Thus, the development of participatory approaches that can provide an interactive, open, democratic, communicative, group-based, and informed deliberative process which involves both experts and non-experts have been emerging needs. The burgeoning development of Internet especially World Wide Web (WWW) technologies provides the potential to overcome this limitation. As an effective tool for participatory selection, prioritization, and integration of decision options for urban management, the space-time distributed environment of the Web-based SDSS (WebSDSS) not only provides the flexibility for working in different places and participants’ time convenience, but also offers equal opportunities for participation. Making full use of WebSDSSs can play a significant role in urban management processes such as urban planning (land-use, infrastructure planning), public safety publicity and education, monitoring and early warning for disaster risks, evacuating routes design and guidance, and evaluation of the delivery and coverage of disaster relief materials, etc.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Abdalla, R. (2016). Evaluation of spatial analysis application for urban emergency management. Springerplus, 5(1), 2081.
https://doi.org/10.1186/s40064-016-3723-y
Avis, & R, W. (2016). Urban Governance (Topic Guide).
Barzinpour, F., & Esmaeili, V. (2013). A multi-objective relief chain location distribution model for urban disaster management. The International Journal of Advanced Manufacturing Technology, 70(5-8), 1291-1302. https://doi.org/10.1007/s00170-013-5379-x
de Lima, L. M. M., de Sa, L. R., Dos Santos Macambira, A. F. U., de Almeida Nogueira, J., de Toledo Vianna, R. P., & de Moraes, R. M. (2019). A new combination rule for Spatial Decision Support Systems for epidemiology. Int J Health Geogr, 18(1), 25. https://doi.org/10.1186/s12942-019-0187-7
Falanga, R. (2020). Participatory Design: Participatory Urban Management. In Sustainable Cities and Communities (pp. 1-9). https://doi.org/10.1007/978-3-319-71061-7_7-1
Ghavami, S. M. (2019). Multi-criteria spatial decision support system for identifying strategic roads in disaster situations. International Journal of Critical Infrastructure Protection, 24, 23-36. https://doi.org/10.1016/j.ijcip.2018.10.004
Herold, S., Sawada, M., & Wellar, B. (2005). Integrating Geographic Information Systems, Spatial Databases and the Internet A Framework for Disaster Management Proceedings of the 98th Annual Canadian Institute of Geomatics Conference,
Horita, F. E. A., & Albuquerque, J. P. d. (2013). An Approach to Support Decision-Making in Disaster Management based on Volunteer Geographic Information (VGI) and Spatial Decision Support Systems (SDSS) Proceedings of the 10th International ISCRAM Conference,
Jelokhani-Niaraki, M. (2018). Knowledge sharing in Web-based collaborative multicriteria spatial decision analysis: An ontology-based multi-agent approach. Computers, Environment and Urban Systems, 72, 104-123.
doi.org/10.1016/j.compenvurbsy
Abdalla, R. (2016). Evaluation of spatial analysis application for urban emergency management. Springerplus, 5(1), 2081.
https://doi.org/10.1186/s40064-016-3723-y
Avis, & R, W. (2016). Urban Governance (Topic Guide).
Barzinpour, F., & Esmaeili, V. (2013). A multi-objective relief chain location distribution model for urban disaster management. The International Journal of Advanced Manufacturing Technology, 70(5-8), 1291-1302. https://doi.org/10.1007/s00170-013-5379-x
de Lima, L. M. M., de Sa, L. R., Dos Santos Macambira, A. F. U., de Almeida Nogueira, J., de Toledo Vianna, R. P., & de Moraes, R. M. (2019). A new combination rule for Spatial Decision Support Systems for epidemiology. Int J Health Geogr, 18(1), 25. https://doi.org/10.1186/s12942-019-0187-7
Falanga, R. (2020). Participatory Design: Participatory Urban Management. In Sustainable Cities and Communities (pp. 1-9). https://doi.org/10.1007/978-3-319-71061-7_7-1
Ghavami, S. M. (2019). Multi-criteria spatial decision support system for identifying strategic roads in disaster situations. International Journal of Critical Infrastructure Protection, 24, 23-36. https://doi.org/10.1016/j.ijcip.2018.10.004
Herold, S., Sawada, M., & Wellar, B. (2005). Integrating Geographic Information Systems, Spatial Databases and the Internet A Framework for Disaster Management Proceedings of the 98th Annual Canadian Institute of Geomatics Conference,
Horita, F. E. A., & Albuquerque, J. P. d. (2013). An Approach to Support Decision-Making in Disaster Management based on Volunteer Geographic Information (VGI) and Spatial Decision Support Systems (SDSS) Proceedings of the 10th International ISCRAM Conference,
Jelokhani-Niaraki, M. (2018). Knowledge sharing in Web-based collaborative multicriteria spatial decision analysis: An ontology-based multi-agent approach. Computers, Environment and Urban Systems, 72, 104-123.
doi.org/10.1016/j.compenvurbsys.2018.05.012
Jelokhani-Niaraki, M., & Malczewski, J. (2015). A group multicriteria spatial decision support system for parking site selection problem: A case study. Land Use Policy, 42, 492-508.
https://doi.org/10.1016/j.landusepol.2014.09.003
Jung, E., & Jung, E. J. (2019). Service-oriented architecture of environmental information systems to forecast the impacts of natural disasters in South Korea. Journal of Enterprise Information Management, 32(1), 16-35.
https://doi.org/10.1108/jeim-03-2015-0022
khazaee, M., & Razavian, M. T. (2012). The role of urban management in City Spatial Development Case Study Nahavand City. International Research Journal of Applied and Basic Sciences, 3(3).
Madan, A., & Routray, J. K. (2016). Existing preparedness capacity of disaster management institutions in urban areas: A case study of local institutions in Delhi, India International Conference on Disaster Management: From Polar Region to the Local Communities,
Mahmudi, A. M., & Saremi, H. r. (2015). The Role of Citizen Participant in Urban Management (Case Study: Aligudarz City). American Journal of Engineering Research, 4(1).
Mansourian, A., Taleai, M., & Fasihi, A. (2011). A web-based spatial decision support system to enhance public participation in urban planning processes. Journal of Spatial Science, 56(2), 269-282. https://doi.org/10.1080/14498596.2011.623347
Mattingly, M. (1995). URBAN MANAGEMENT IN LESS DEVELOPED COUNTRIES. In.
Mohd, M. M., Amin, M. S. M., Kamal, M. R., Wayayok, A., & Yazid, S. A. A. a. M. (2014). Application of Web Geospatial Decision Support System for Tanjung Karang Rice Precision Irrigation Water Management Food and Environmental Engineering, Malaysia.
Nyimbili, P. H., & Erden, T. (2017). Spatial decision support systems (SDSS) and software applications for earthquake disaster management with special reference to Turkey. Natural Hazards, 90(3), 1485-1507. https://doi.org/10.1007/s11069-017-3089-7
Oliveira, T. H. M. d., Painho, M., & Henriques, R. (2012). A Spatial Decision Support System for the Portuguese Public Transportation Sector. ACM SIGSPATIAL IWGS.
Sreekanth, P. D., Soam, S. K., & Rao, K. V. K. a. N. H. (2021). Spatial decision support system for managing agricultural experimental farms. Current Science.
Sugumaran, V., & Sugumaran, R. (2007). Web-based Spatial Decision Support Systems (WebSDSS): Evolution, Architecture, Examples and Challenges. Communications of the Association for Information Systems, 19. https://doi.org/10.17705/1cais.01940
Wangdi, K., Banwell, C., Gatton, M. L., Kelly, G. C., Namgay, R., & Clements, A. C. (2016). Development and evaluation of a spatial decision support system for malaria elimination in Bhutan. Malar J, 15, 180. https://doi.org/10.1186/s12936-016-1235-4
Yatsalo, B., & Sullivan, T. (2012). Environmental risk management with the use of multi-criteria spatial decision support system. Risk Assessment and Management.