COVID-19 and “the trinity of boredom” in public spaces: urban form, social distancing and digital transformation DOI
Hisham Abusaada, Abeer Elshater

International Journal of Architectural Research Archnet-IJAR, Год журнала: 2021, Номер 16(1), С. 172 - 183

Опубликована: Сен. 22, 2021

Purpose Over the coming decades, widespread application of social distancing creates challenges for urban planning and design profession. This article aims to address phenomenon boredom in public places, its main influences that generate change repetition, monotony everyday lifestyle, whether positive, negative or both – depending on binding governing rules shape variations daily lifestyles. Design/methodology/approach viewpoint relied literary narration discuss vis-à-vis placemaking solutions face distancing. It builds orientation by analyzing works nine scholars five their relevant theories. Findings Evidence from previous studies helped develop three-pillar guidelines can produce better results post-pandemic development boredom. These pillars include recommendations trinity heterogeneity metamorphosis form, changes life digital transformation a time uncertainty how confront (un)seen spaces. Practitioners should new insights into relationship between people place reviewing existing paradigms avoid after pandemic. Originality/value The added value here is underlining as one consequences lockdown applications building phenomenon's theorizers. key contribution this work recommendation confronting spaces happens because lockdown.

Язык: Английский

Diverse and nonlinear influences of built environment factors on COVID-19 spread across townships in China at its initial stage DOI Creative Commons
Shuang Ma, Shuangjin Li, Junyi Zhang

и другие.

Scientific Reports, Год журнала: 2021, Номер 11(1)

Опубликована: Июнь 14, 2021

Abstract The built environment can contribute to the spread of novel coronavirus disease (COVID-19) by facilitating human mobility and social contacts between infected uninfected individuals. However, data capturing detailed interpersonal transmission at a large scale are not available. In this study, we aimed objectively assess influence key factors, which create spaces for activities—“inferred activity” rather than “actually observed activity”—on COVID-19 across townships in China its initial stage through random forest approach. Taking 2994 township-level administrative units, is measured two indicators: ratio cumulative infection cases (RCIC), coefficient variation (CVIC) that reflects policy effect spread. Accordingly, selected 19 explanatory variables covering factors (urban facilities, land use, transportation infrastructure), level nighttime activities, inter-city population flow (from Hubei Province). We investigated spatial agglomerations based on an analysis bivariate local indicators association RCIC CVIC. found agglomeration (or positive autocorrelations) CVIC about 20% all under study. density convenience shops, supermarkets shopping malls (DoCSS), Province) most important explain RCIC, while factor measuring effects (CVIC). When DoCSS gets 21/km 2 , comprehensive hospitals 0.7/km road intersections 72/km gyms sports centers 2/km their impacts reach maximum remain constant with further increases values. Stricter measures should be taken colleges universities higher 0.5/km or 0.25/km order effectively control COVID-19.

Язык: Английский

Процитировано

37
COVid-19 influenced households’ Interrupted Travel Schedules (COVHITS) survey: Lessons from the fall 2020 cycle DOI Open Access
Kaili Wang, Yicong Liu, Sk. Md. Mashrur

и другие.

Transport Policy, Год журнала: 2021, Номер 112, С. 43 - 62

Опубликована: Авг. 19, 2021

Язык: Английский

Процитировано

34
Dynamic topic modeling of twitter data during the COVID-19 pandemic DOI Creative Commons
Alexander Bogdanowicz, ChengHe Guan

PLoS ONE, Год журнала: 2022, Номер 17(5), С. e0268669 - e0268669

Опубликована: Май 27, 2022

In an effort to gauge the global pandemic's impact on social thoughts and behavior, it is important answer following questions: (1) What kinds of topics are individuals groups vocalizing in relation pandemic? (2) Are there any noticeable topic trends if so how do these change over time response major events? this paper, through advanced Sequential Latent Dirichlet Allocation model, we identified twelve most popular present a Twitter dataset collected period spanning April 3rd 13th, 2020 United States discussed their growth changes time. These were both robust, that they covered specific domains, not simply events, dynamic, able rising our dataset. They spanned politics, healthcare, community, economy, experienced macro-level time, while also exhibiting micro-level composition. Our approach differentiated itself scale scope study emerging concerning COVID-19 at few works have been achieve. We contributed cross-sectional field urban studies big data. Whereas optimistic towards future, understand unprecedented will lasting impacts society large, impacting only economy or geo-politics, but human behavior psychology. Therefore, more ways than one, research just beginning scratch surface what be concerted into studying history repercussions COVID-19.

Язык: Английский

Процитировано

28
Spatial Patterns of the Spread of COVID-19 in Singapore and the Influencing Factors DOI Creative Commons
Jianfang Ma, Haihong Zhu, Peng Li

и другие.

ISPRS International Journal of Geo-Information, Год журнала: 2022, Номер 11(3), С. 152 - 152

Опубликована: Фев. 22, 2022

Exploring the spatial patterns of COVID-19 transmission and its key determinants could provide a deeper understanding evolution pandemic. The goal this study is to investigate in different periods Singapore, as well their relationship with demographic built-environment factors. Based on reported cases from 23 January 30 September 2020, we divided research time into six phases used autocorrelation analysis, ordinary least squares (OLS) model, multiscale geographically weighted regression (MGWR) dominance analysis explore influencing factors each phase. results showed that differed across time, imported presented random pattern, whereas local clustered pattern. Among selected variables, supermarket density, elderly population hotel business land proportion, park density may be particular fitting indicators explaining pandemic development Singapore. Furthermore, associations between changed dynamically over time. This provides policymakers valuable information for developing targeted interventions certain areas periods.

Язык: Английский

Процитировано

24
COVID-19 and “the trinity of boredom” in public spaces: urban form, social distancing and digital transformation DOI
Hisham Abusaada, Abeer Elshater

International Journal of Architectural Research Archnet-IJAR, Год журнала: 2021, Номер 16(1), С. 172 - 183

Опубликована: Сен. 22, 2021

Purpose Over the coming decades, widespread application of social distancing creates challenges for urban planning and design profession. This article aims to address phenomenon boredom in public places, its main influences that generate change repetition, monotony everyday lifestyle, whether positive, negative or both – depending on binding governing rules shape variations daily lifestyles. Design/methodology/approach viewpoint relied literary narration discuss vis-à-vis placemaking solutions face distancing. It builds orientation by analyzing works nine scholars five their relevant theories. Findings Evidence from previous studies helped develop three-pillar guidelines can produce better results post-pandemic development boredom. These pillars include recommendations trinity heterogeneity metamorphosis form, changes life digital transformation a time uncertainty how confront (un)seen spaces. Practitioners should new insights into relationship between people place reviewing existing paradigms avoid after pandemic. Originality/value The added value here is underlining as one consequences lockdown applications building phenomenon's theorizers. key contribution this work recommendation confronting spaces happens because lockdown.

Язык: Английский

Процитировано

31