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...
Saved in:
Main Authors: | TAN, Ming Hui, TAN, Kar Way, LAU, Hoong Chuin |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
STUDYING THE IMPACT OF BUILDING FEATURES ON OCCUPANTS’ FOOTFALL USING A DATA-DRIVEN METHODOLOGY
by: ZHOU YUHAN
Published: (2024) -
Time to shift the shift: performance effects of within-day cumulative service encounters in retail stores
by: Chen, Chien-Ming, et al.
Published: (2023) -
Performance enhancement of data-driven models with derived quality data and data assimilation in water resources
by: DOAN CHI DUNG
Published: (2010) -
Big data applications in governance and policy
by: Giest, S., et al.
Published: (2021) -
Big data analytics and management forecasting behavior
by: GOH, Beng Wee, et al.
Published: (2023)