Real Estate Commons^™

Spatial Big Data Analytics: The New Boundaries Of Retail Location Decision-Making, Joseph M. Aversa

Theses and Dissertations (Comprehensive)

This dissertation examines the current state and evolution of retail location decision-making (RLDM) in Canada. The major objectives are: (i) To explore the type and scale of location decisions that retail firms are currently undertaking; (ii) To identify the availability and use of technology and Spatial Big Data (SBD) within the decision-making process; (iii) To identify the awareness, availability, use, adoption and development of SBD; and, (iv) To assess the implications of SBD in RLDM. These objectives were investigated by using a three stage multi-method research process. First, an online survey of retail location decision makers across a range of …

Big Data Approach As An Institutional Innovation To Tackle Hong Kong’S Illegal Subdivided Unit Problem, Yung Yau, Elvis Wai Kin Lau

Faculty of Design & Environment (THEi)

While applications of big data have been extensively studied, discussion is mostly made from the perspectives of computer science, Internet services, and informatics. Alternatively, this article takes the big data approach as an institutional innovation and uses the problem of illegal subdivided units (ISUs) in Hong Kong as a case study. High transaction costs incurred in identification of suspected ISUs and associated enforcement actions lead to a proliferation of ISUs in the city. We posit that the deployment of big data analytics can lower these transaction costs, enabling the government to tackle the problem of illegal accommodations. We propose a …

Community Data Analytics: Localized Data Analysis And Decision Modeling In The Era Of ‘Big Data’ And ‘Smart Cities’, Michael P. Johnson Jr.

Michael P. Johnson