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Food, work and sleep

Visualising the top food and population centres in Beijing

Datos Bibliográficos

ID5031007
AutoresJiangping Zhou (0000-0002-1623-5002, The University of Hong Kong, Hong Kong SAR, China, autor de correspondencia), Yuling Yang (0009-0004-2807-3153, The University of Hong Kong, Hong Kong SAR, China), Chun Zhang (0009-0001-4160-2329, School of Architecture and Arts, Beijing, China)
Año2019
Volumen51
Número3
Páginas551-553
Fecha de publicación2019-05-01
Open AccessSí
TipoARTICLE
RevistaEnvironment and Planning A Economy and Space (JOURNAL)
Identificadores de la revistaISSN: 0308-518X • E-ISSN: 1472-3409
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/0308518x18798837
OpenAlexW2889967775
IdiomaEN

In contemporary cities, the catering sector is much more than only food and/or eating. On the one hand, it is an important source of income, employment and waste; on the other hand, it provides many opportunities for eating out and social interaction. For a given city, where does the catering sector concentrate the most and how far are people, on average, from this location across hours of a day? Are people, on average, closer to the concentration around the prime dinner time? Taking advantage of open and big data, we geovisualised the answers in the context of Beijing, the capital of China, with a population of 22+ million people. Specifically, the data we used were the 2015 points of interest of Baidu Map (the Chinese counterpart of Google Maps) and 10-16 August 2015 cellular network data for Beijing. The former provide us with the number and location of most if not all restaurants around the local metro-served area (MSA) - that is, areas that are within an 800-metre radius of a metro station. The latter allow us to derive the average number of cellular phone users (as a proxy for the general population, residents and/or employees) by MSA across hours of a day. We depict the top five population/employment/residential centres (quantified by the average number of cellular phone users) at three different times of the day, and the top 10 food centres (measured by the number of restaurants) at the MSA level in Beijing

Advertising · Beijing · Business · China · Geography · Phone · Population · Socioeconomics · Sociology · Consumer Retail Behavior Studies · Demography · Human Mobility and Location-Based Analysis · Urban Transport and Accessibility · Marketing

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