John Östh

visiting professor

Uppsala University

Sweden

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John Östh is a visiting professor at Uppsala Universitet in Sweden. His research areas encompass urban studies, artificial intelligence in smart urban planning, and the dynamics of leisure mobility, particularly in relation to the COVID-19 pandemic. His recent publications include analyses of visitor appreciation for tourist amenities and the effects of external shocks on markets like Airbnb. He utilizes a variety of datasets, including mobile phone data and GIS-derived data, to explore environmental and spatial behaviors.

Articles (16)

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2025

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2022

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (8)

Sako Musterd

University of Amsterdam

NETHERLANDS

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Karima Kourtit

NETHERLANDS

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ALESSANDRA MICHELANGELI

Professor (Associate)

University of Milano-Bicocca

ITALY

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Peter Nijkamp

Open Universiteit

NETHERLANDS

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Kerli Müürisepp

University of Helsinki

FINLAND

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Olle Järv

University of Helsinki

FINLAND

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Ian Shuttleworth

The Queen's University Belfast

UNITED KINGDOM

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Marina Toger

Senior lecturer

Uppsala University

SWEDEN

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John Östh

Research Interests

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About

Articles (16)

A Digital ‘Smiley’ Analysis of the Appreciation for Tourist Amenities by Visitors to London

Commentary: Asking artificial intelligence about regenerative economy

Did liberal lockdown policies change spatial behaviour in Sweden? Mapping daily mobilities in Stockholm using mobile phone data during COVID-19

Effects of external shocks on the Airbnb market – modeling business survival using geocoded open data

Slow motion in corona times: Modeling cyclists’ spatial choice behavior using real-time probe data

Is artificial intelligence a trustworthy route navigation system for smart urban planning?

Leisure mobility changes during the COVID-19 pandemic – An analysis of survey and mobile phone data in Sweden

Segregation and the pandemic: The dynamics of daytime social diversity during COVID-19 in Greater Stockholm

Cyclists as Intelligent Carriers of Space-Time Environmental Information: Crowd-Sourced Sensor Data for Local Air Quality Measurement and Mobility Analysis in the Netherlands

The fallacy of the closest antenna: Towards an adequate view of device location in the mobile network

House price valuation of environmental amenities: An application of GIS‐derived data

Intergenerational income mobility in Sweden: A look at the spatial disparities across municipalities

Airbnb and COVID-19: SPACE-TIME vulnerability effects in six world-cities

Modelling place attractiveness in the era of big and open data

Using Individualised HDI Measures for Predicting Educational Performance of Young Students—A Swedish Case Study

Country-of-origin-specific economic capital in neighbourhoods: Impact on immigrants’ employment opportunities

Collaborators (8)

Sako Musterd

Karima Kourtit

ALESSANDRA MICHELANGELI

Peter Nijkamp

Kerli Müürisepp

Olle Järv

Ian Shuttleworth

Marina Toger

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