Dr. Shoaib Khalid

This study undertook the urban immovable property valuation in Lahore and Faisalabad, using big data and advanced spatial analysis techniques to explore the significant impact of location-specific parameters on the urban immovable property prices. To compute the immovable property values, we employed Big Data analytics in Geographic Information System (GIS). The traditional hedonic price models give little importance to the spatial characteristics of individual housing units and revolve around the structural attributes of houses. However, the spatial heterogeneity should be considered while appraising the residential property prices since the house characteristics may vary over space. To address it, we established different valuation models based on the ordinary least square regression and the Fast Geographic Weighted Regression (FastGWR) model, a scalable open source implementation of python and Message Passing Interface (MPI) that can process millions of observations.

This study aims to investigate the potential of Public-Private Partnerships (PPPs) in Pakistan???s construction sector, focusing on commercial and housing initiatives in Faisalabad City. The study addresses the rapid urbanization and housing demands by proposing urban redevelopment projects utilizing government lands through PPPs. The ion of suitable city parcels will be executed via Multi-Attribute Utility Analysis (MAUA). The study proposes, strategically allocating floors for commercial, institutional, and residential purposes while integrating urban agriculture and solar energy capture into high-rise building designs. Financial viability will be assessed through Discounted Cash Flow Analysis (DCF), emphasizing economic sustainability. This approach aligns with global urban development trends, leveraging private sector resources to tackle urban challenges.