The Impact of COVID-19 Policies on Nightlife in Kyoto

We use aggregate mobile phone statistics from people present in 500 m x 500 m meshes to analyse the change in nightlife population in central Kyoto. First, we quantify the impact of COVID policies, controlling for other seasonal factors, on each mesh with RegARIMA regression. Second, we explain thes...

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Main Authors: Koki Nozawa, Wenzhe Sun, Jan Dirk Schmoecker, Satoshi Nakao
Format: Article
Language:English
Published: Findings Press 2024-06-01
Series:Findings
Online Access:https://doi.org/10.32866/001c.118552
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author Koki Nozawa
Wenzhe Sun
Jan Dirk Schmoecker
Satoshi Nakao
author_facet Koki Nozawa
Wenzhe Sun
Jan Dirk Schmoecker
Satoshi Nakao
author_sort Koki Nozawa
collection DOAJ
description We use aggregate mobile phone statistics from people present in 500 m x 500 m meshes to analyse the change in nightlife population in central Kyoto. First, we quantify the impact of COVID policies, controlling for other seasonal factors, on each mesh with RegARIMA regression. Second, we explain these parameters with a spatial-lag regression that uses “points of interests” in these meshes as explanatory variables. We illustrate the spatial variation regarding the impact of the first COVID emergency declaration and of a so-called “Go-To campaign” that provided incentives for people to visit Kyoto. The results quantify the additional drop in visitors that meshes with more nightlife establishments experience due to COVID policies. The presence of take-aways, convenience stores etc instead reduces the impact at nighttime hours. The regression coefficients are small for the Go-To campaign model suggesting less recovery of nightlife activities.
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issn 2652-8800
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publishDate 2024-06-01
publisher Findings Press
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spelling doaj-art-9500a256a8264b27b3c55d7b19d320902025-08-20T02:40:09ZengFindings PressFindings2652-88002024-06-0110.32866/001c.118552The Impact of COVID-19 Policies on Nightlife in KyotoKoki NozawaWenzhe SunJan Dirk SchmoeckerSatoshi NakaoWe use aggregate mobile phone statistics from people present in 500 m x 500 m meshes to analyse the change in nightlife population in central Kyoto. First, we quantify the impact of COVID policies, controlling for other seasonal factors, on each mesh with RegARIMA regression. Second, we explain these parameters with a spatial-lag regression that uses “points of interests” in these meshes as explanatory variables. We illustrate the spatial variation regarding the impact of the first COVID emergency declaration and of a so-called “Go-To campaign” that provided incentives for people to visit Kyoto. The results quantify the additional drop in visitors that meshes with more nightlife establishments experience due to COVID policies. The presence of take-aways, convenience stores etc instead reduces the impact at nighttime hours. The regression coefficients are small for the Go-To campaign model suggesting less recovery of nightlife activities.https://doi.org/10.32866/001c.118552
spellingShingle Koki Nozawa
Wenzhe Sun
Jan Dirk Schmoecker
Satoshi Nakao
The Impact of COVID-19 Policies on Nightlife in Kyoto
Findings
title The Impact of COVID-19 Policies on Nightlife in Kyoto
title_full The Impact of COVID-19 Policies on Nightlife in Kyoto
title_fullStr The Impact of COVID-19 Policies on Nightlife in Kyoto
title_full_unstemmed The Impact of COVID-19 Policies on Nightlife in Kyoto
title_short The Impact of COVID-19 Policies on Nightlife in Kyoto
title_sort impact of covid 19 policies on nightlife in kyoto
url https://doi.org/10.32866/001c.118552
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