A planning support system to optimize approval of private housing development projects

8th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing

地球科学;计算机科学

Hussnain, M.Q.^1 ; Wakil, K.^1 ; Waheed, A.^1 ; Tahir, A.^2

Department of Urban and Regional Planning, National Institute of Transportation, National University of Sciences and Technology, Islamabad, Pakistan^1

Institute of Geographical Information Systems, National University of Sciences and Technology, Islamabad, Pakistan^2

关键词: Average growth rate;    Data requirements;    Flexible planning;    Geospatial technology;    Housing development;    Planning standard;    Planning support systems;    Regulatory documents;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/37/1/012050/pdf
DOI  :  10.1088/1755-1315/37/1/012050

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Out of 182 million population of Pakistan, 38% reside in urban areas having an average growth rate of 1.6%, raising the urban housing demand significantly. Poor state response to fulfil the housing needs has resulted in a mushroom growth of private housing schemes (PHS) over the years. Consequently, only in five major cities of Punjab, there are 383 legal and 150 illegal private housing development projects against 120 public sector housing schemes. A major factor behind the cancerous growth of unapproved PHS is the prolonged and delayed approval process in concerned approval authorities requiring 13 months on average. Currently, manual and paper-based approaches are used for vetting and for granting the permission which is highly subjective and non-transparent. This study aims to design a flexible planning support system (PSS) to optimize the vetting process of PHS projects under any development authority in Pakistan by reducing time and cost required for site and documents investigations. Relying on the review of regulatory documents and interviews with professional planners and land developers, this study describes the structure of a PSS developed using open- source geo-spatial tools such as OpenGeo Suite, PHP, and PostgreSQL. It highlights the development of a Knowledge Module (based on regulatory documents) containing equations related to scheme type, size (area), location, access road, components of layout plan, planning standards and other related approval checks. Furthermore, it presents the architecture of the database module and system data requirements categorized as base datasets (built-in part of PSS) and input datasets (related to the housing project under approval). It is practically demonstrated that developing a customized PSS to optimize PHS approval process in Pakistan is achievable with geospatial technology. With the provision of such a system, the approval process for private housing schemes not only becomes quicker and user-friendly but also transparent.