The timescape of the city: Example of spatial interactions based on big data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F23%3A73615435" target="_blank" >RIV/61989592:15310/23:73615435 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0197397522002338" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0197397522002338</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.habitatint.2022.102736" target="_blank" >10.1016/j.habitatint.2022.102736</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The timescape of the city: Example of spatial interactions based on big data

Popis výsledku v původním jazyce

The paper develops the concept of a timescape of a city based on empirical analysis of geospatial big data. We understand the timescape as the temporal shape of a city, which reflects temporal dynamics of a city structure and rhythms based on aggregated time-space behaviour of individuals. The paper uses the concepts of rhythmanalysis and spatial interactions as theoretical basis. We analyse two data types: mobile phone location data and taxi trajectory data, and the city of Prague is taken as the example. The data capture the population mobility peak before the Covid-19 pandemic has burst out. We examine both the temporal (weekly and daily rhythms) and spatial (intra urban and ‘extra’ urban flows) hierarchies of the city time-space. We have confirmed the existence of distinct differences between workdays and weekend days. It has also been shown that the mobility based on taxi trajectories has specific temporal distribution. Based on ‘extra’ urban flows, rhythms and thus on the present population of the city we have identified two hierarchically different time waves, long (weekly) and short (daily), when the latter has opposite amplitude and span during workdays and during weekend days.

Název v anglickém jazyce

The timescape of the city: Example of spatial interactions based on big data

Popis výsledku anglicky

The paper develops the concept of a timescape of a city based on empirical analysis of geospatial big data. We understand the timescape as the temporal shape of a city, which reflects temporal dynamics of a city structure and rhythms based on aggregated time-space behaviour of individuals. The paper uses the concepts of rhythmanalysis and spatial interactions as theoretical basis. We analyse two data types: mobile phone location data and taxi trajectory data, and the city of Prague is taken as the example. The data capture the population mobility peak before the Covid-19 pandemic has burst out. We examine both the temporal (weekly and daily rhythms) and spatial (intra urban and ‘extra’ urban flows) hierarchies of the city time-space. We have confirmed the existence of distinct differences between workdays and weekend days. It has also been shown that the mobility based on taxi trajectories has specific temporal distribution. Based on ‘extra’ urban flows, rhythms and thus on the present population of the city we have identified two hierarchically different time waves, long (weekly) and short (daily), when the latter has opposite amplitude and span during workdays and during weekend days.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50702 - Urban studies (planning and development)

Projekt

<a href="/cs/project/GA20-21360S" target="_blank" >GA20-21360S: Prostorové interakce a jejich konceptualizace: analýza selektivity, neurčitosti a hierarchie</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

HABITAT INTERNATIONAL

ISSN

0197-3975

e-ISSN

1873-5428

Svazek periodika

131

Číslo periodika v rámci svazku

JAN

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

"102736-1"-"102736-9"

Kód UT WoS článku

000912095300001

EID výsledku v databázi Scopus

2-s2.0-85144757824