Please wait a minute...

Landscape Architecture Frontiers

Landsc. Archit. Front.    2020, Vol. 8 Issue (2) : 150-157     https://doi.org/10.15302/J-LAF-1-050017
EXPERIMENTS & PROCESSES
AN URBAN RESPONSE TO COVID-19: SUPPORTING BABIES, TODDLERS, AND THOSE WHO CARE FOR THEM
Julien VINCELOT()
Urban95 Coordinator
Download: PDF(8611 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

A million new neural connections are formed every second in a baby’s brain. These connections lay the foundations of their lifelong development, and are shaped by the amount and quality of care they receive from their primary caregivers, and by their immediate environment. To protect their health and limit negative consequences from COVID-19 on their long-term development, cities need to tailor their COVID-19 response to the needs of babies, toddlers, and their caregivers. The COVID-19 pandemic affects babies and toddlers in cities by making it harder for their caregivers — most often their parents — to access their regular support systems, due to closures of services and key infrastructure such as parks, mobility restrictions, or isolation from the community. Cities can actively support caregivers through a range of solutions allowing remote access, or adapting infrastructure, services, and facilities to ensure safe in-person access to key services and urban spaces. This does not always require new solutions, but rather a systematic consideration of their needs into existing interventions. To do so, cities can combine empathy methods with data about families, and use those when assessing the situation, and then locating and designing their urban response to COVID-19.

Keywords Babies and Toddlers      Caregiving      COVID-19      Urban95 Initiative      Empathy      Data     
Corresponding Author(s): Julien VINCELOT   
Issue Date: 05 June 2020
 Cite this article:   
Julien VINCELOT. AN URBAN RESPONSE TO COVID-19: SUPPORTING BABIES, TODDLERS, AND THOSE WHO CARE FOR THEM[J]. Landsc. Archit. Front., 2020, 8(2): 150-157.
 URL:  
http://journal.hep.com.cn/laf/EN/10.15302/J-LAF-1-050017
http://journal.hep.com.cn/laf/EN/Y2020/V8/I2/150
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Julien VINCELOT
Related articles from Frontiers Journals
[1] Xixi CHEN, Liang LI, Li TAN, Lu YANG. STUDY OF URBAN GREENWAY PLANNING BASED ON MULTI-SOURCE DATA ANALYSIS OF SPATIAL POTENTIAL AND USER BEHAVIORS — THE GREENWAY ROUTE PLANNING OF HAIDIAN DISTRICT, BEIJING[J]. Landsc. Archit. Front., 2019, 7(6): 50-65.
[2] Li WAN, Luoyi YIN. CONFUSION OF GOALS — RETHINKING THE IMPLICATION OF DATA ANALYTICS AND MODELLING FOR URBAN PLANNING AND DESIGN INDUSTRY[J]. Landsc. Archit. Front., 2019, 7(6): 38-49.
[3] Pia FRICKER. VIRTUAL REALITY FOR IMMERSIVE DATA INTERACTION[J]. Landsc. Archit. Front., 2019, 7(2): 153-159.
[4] Sonja BETSCHART. DRONES FOR AGRICULTURE IN TANZANIA[J]. Landsc. Archit. Front., 2019, 7(2): 146-152.
[5] Zhaoxi ZHANG, Ying LONG. APPLICATION OF WEARABLE CAMERAS IN STUDYING INDIVIDUAL BEHAVIORS IN BUILT ENVIRONMENTS[J]. Landsc. Archit. Front., 2019, 7(2): 22-37.
[6] Ying LONG. (NEW) URBAN SCIENCE: STUDYING “NEW” CITIES WITH NEW DATA, METHODS, AND TECHNOLOGIES[J]. Landsc. Archit. Front., 2019, 7(2): 8-21.
[7] Qiang SHENG, Chen ZHOU, Kayvan KARIMI, Anhua LU, Min SHAO. THE APPLICATION OF SPACE SYNTAX MODELING IN DATA-BASED URBAN DESIGN — AN EXAMPLE OF CHAOYANG SQUARE RENEWAL IN JILIN CITY[J]. Landsc. Archit. Front., 2018, 6(2): 102-113.
[8] Christian DERIX, Lucy HELME, Fabio GALICIA, Alexander KACHKAEV. THE DATA EXPERIENCE OF LOCAL NEIGHBORHOODS IN GLOBAL CITIES[J]. Landsc. Archit. Front., 2018, 6(2): 76-93.
[9] Christophe GIROT, Ilmar HURKXKENS. ROBOTIC LANDSCAPES — NATURE, COMPUTATION, AND THE DESIGN SPACE OF AUTONOMOUS TERRAIN MODELING[J]. Landsc. Archit. Front., 2018, 6(2): 64-75.
[10] Linghao CAI, Ling FAN, Wenbo LAI, Ying LONG, Peng WANG, Xiangyang XIN. DEFINITION, APPLICATION AND INFLUENCE OF ARTI FICIAL INTELLIGENCE ON DESIGN INDUSTRIES[J]. Landsc. Archit. Front., 2018, 6(2): 56-63.
[11] Yu LIU. THE IMPACTS OF ARTIFICIAL INTELLIGENCE ON DESIGN[J]. Landsc. Archit. Front., 2018, 6(2): 52-55.
[12] Leiqing XU, Yu YAN, Shuqing HUANG. Social Restoration and Digital Relocalization — A Big Data Strategy for Spatial Self-organization[J]. Landsc. Archit. Front., 2017, 5(3): 60-71.
[13] Peter SIÖSTRÖM. City Sense(s) and Sustainable Urban Design[J]. Landsc. Archit. Front., 2016, 4(4): 64-71.
[14] Mia MEUSBURGER,Johanna PICHLBAUER. SUMMER SCOU TS — SENSING THE CITY[J]. Landsc. Archit. Front., 2016, 4(4): 142-149.
[15] Columbia University Spatial Information Design Lab,New York Restoration Project,Ennead Lab,Trees Charlotte,Columbia University Mailman School of Public Health,Civitas,South Bronx Unite,Healthx Design,Barreto Bay Strategies,Montefiore Medical Center. The Haven Project of the New York Restoration Project[J]. Landsc. Archit. Front., 2016, 4(4): 82-93.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed