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Identify Optimal Pedestrian Flow Forecasting Methods in Great Britain Retail Areas: A Comparative St...

Identify Optimal Pedestrian Flow Forecasting Methods in Great Britain Retail Areas: A Comparative St...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f44ed3a8b8564edc9786177e2ecffa46

Identify Optimal Pedestrian Flow Forecasting Methods in Great Britain Retail Areas: A Comparative Study of Time Series Forecasting on a Footfall Dataset

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Full title

Identify Optimal Pedestrian Flow Forecasting Methods in Great Britain Retail Areas: A Comparative Study of Time Series Forecasting on a Footfall Dataset

Author / Creator

Publisher

Basel: MDPI AG

Journal title

ISPRS international journal of geo-information, 2025-02, Vol.14 (2), p.50

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The UK retail landscape has undergone significant changes over the past decade, driven by factors such as the rise of online shopping, economic downturns, and, more recently, the COVID-19 pandemic. Accurately measuring pedestrian flows in retail areas with high spatial and temporal resolution is essential for selecting the most appropriate forecast...

Alternative Titles

Full title

Identify Optimal Pedestrian Flow Forecasting Methods in Great Britain Retail Areas: A Comparative Study of Time Series Forecasting on a Footfall Dataset

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f44ed3a8b8564edc9786177e2ecffa46

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f44ed3a8b8564edc9786177e2ecffa46

Other Identifiers

ISSN

2220-9964

E-ISSN

2220-9964

DOI

10.3390/ijgi14020050

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