About > Team > Seungbum Kim
Seungbum Kim

Advisor | Data Visualization

He has been expanding the base for recognizing social issues through unrivaled data visualization technology at his own venture, VWL Inc. Prior to VWL, he worked as an architect at Space Group and SAC International. He received PhD, MS and BS in Architecture from Seoul National University.
Education
Seoul National University Architecture (Bachelor, 1996-2020)
Seoul National University Architecture (Master, 2020-2023)
Seoul National University Architecture (Doctor, 2008-2012)
Experience
VWL (Management, CEO, 2016-)
Dankook University (Architecture, Research Professor, 2014-2015)
Space Group (Design Division, Vice Team Head, 2006-2007)
SAC International (Design Division, Associate, 2004-2006)
Selected Works
Deacreas in Air Traffic due to COVID-19 (Exhibitor, KIDP, 2020)
Requestioning Seongbuk Urban Hanok (Exhibitor, SBCC, 2017)
Seoul Biennale of Architecture and Urbanism : Shared City (Exhibition Planning, Seoul City, 2017)
La Biennale di Venezia Return Exhibition (Exhibition Planning, ARKO, 2017)
La Biennale di Venezia Korean Pavilion (Vice Curator, ARKO, 2016)
Seoul, Towards a Meta-City (Co-Curator, Berlin AEDES Gallery, 2014)

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Data Source

  • GDP: GDP, Current $US (World Bank Open Data)
  • Establishments: Compendium of Tourism Statistics (UNWTO), Lodging Business Ledger (MOIS)
  • Rooms: Compendium of Tourism Statistics (UNWTO), Lodging Business Ledger (MOIS)
  • Lodging GDP: Value Added by Industry (BEA), National Accounts (Cabinet Office), GDP of Indonesia (BPS), GDP & GNI by Sector (BOK), Economic Census (KOSIS)
  • Period: 2017-2021

※ In Korea, general & residential accommodations are included while rural & urban minbaks are excluded. Comparable countries are selected based upon availability of lodging GDP statistics for all types of accommodations.

Data Source

  • Population: Population, Total (World Bank Open Data)
  • GDP: GDP, Current $US (World Bank Open Data)
  • Rooms: Compendium of Tourism Statistics (UNWTO), Lodging Business Ledger (MOIS)
  • Lodging GDP: Value Added by Industry (BEA), National Accounts (Cabinet Office), GDP of Indonesia (BPS), GDP & GNI by Sector (BOK), Economic Census (KOSIS)
  • Period: 2017-2021

※ In Korea, general & residential accommodations are included while rural & urban minbaks are excluded. Comparable countries are selected based upon availability of lodging GDP statistics for all types of accommodations.

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Data Source

  • Korea: Lodging Business Ledger (MOIS), Tourist Accommodation Ledger (MCST)
  • USA: Census Database (STR)
  • Period: As at the end of 2021

※ General & residential accommodations other than rural and urban minbaks asre included for Korea. Life cycle was calculated as of December 31, 2021 or actual closure date. If there exists a discrepancy between data sources for an establishment, the discrepancy was settled through an algorithm before use.

Data Source

  • Korea: Lodging Business Ledger (MOIS), Tourist Accommodation Ledger (MCST), Economic Census (KOSIS), Hotel Operating Statistics (KHA), DART (FSS), Trends Report (STR)
  • USA: Compendium of Tourism Statistics (UNWTO), Census Database (STR), Trends Report (STR)
  • Period: 2005-2021

※ General & residential accommodations other than rural and urban minbaks asre included for Korea. Visibility was calculated as the number of establishments for which revenue data is available divided by the total number of establishments. If there exists a discrepancy between data sources for an establishment, the discrepancy was settled through an algorithm before use.

Data Source

  • Guests(Korea): Domestic Traveler Survey (MCST), International Traveler Survey (MCST), Hotel Operating Statistics (KHA)
  • Rooms(Korea): Lodging Business Ledger (MOIS), Tourist Accommodation Ledger (MCST)
  • Guests(USA): Compendium of Tourism Statistics (UNWTO), Trends Report (STR)
  • Rooms(USA): Compendium of Tourism Statistics (UNWTO), Census Database (STR)
  • Period: 2005-2020

※ General & residential accommodations other than rural and urban minbaks asre included for Korea. If there exists a discrepancy between data sources for an establishment, the discrepancy was settled through an algorithm before use.