A big data approach to augmenting the Huff model with road network and mobility data for store footfall prediction

A big data approach to augmenting the Huff model with road network and mobility data for store footfall prediction

Conventional methodologies for new retail store catchment area and footfall estimation rely on ground surveys which are costly and time-consuming. This study augments existing research in footfall estimation through the innovative integration of mobility data and road network to create population-we...

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Bibliographic Details
Main Authors: TAN, Ming Hui, TAN, Kar Way, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
Urban planning
Mobility data
Data-driven community detection
Retail strategy
Predictive analytics
Databases and Information Systems
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/8625
https://ink.library.smu.edu.sg/context/sis_research/article/9628/viewcontent/BigDataApproach_Huff_av.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/8625
https://ink.library.smu.edu.sg/context/sis_research/article/9628/viewcontent/BigDataApproach_Huff_av.pdf

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