Smart cities and flagship stores: kitchen furniture
Bibliographic record
Abstract
The GOAL of the Report 'Smart cities and flagship stores: kitchen furniture" is to provide: Kitchen companies with a tool to identify potential locations where to set their mono-brand stores, keeping into account potential synergies (for instance the presence of complementary brands) as well as an indicator of the cost of the area; The industry, in general, with an analysis on the medium-term trends affecting the main cities worldwide; The Report provides profiles of 85 cities worldwide with a selection of economic and demographic indicators (2013 and 2018), estimates of the potential market for kitchen furniture, in each city and the forecasts for the market development to the year 2023 (*). The study also offers an analysis of the geographical presence of a selected sample of 65 brands, each of which operates as a trend-setter in its own category. Each identified location is characterized by its type (store, multibrand store, shopping centre) and the cost of the area in which they are located. The aim is, thus, to provide a comprehensive view of the cities that a selection of international retailers entered. Finally, each profile presents a selection of kitchen furniture stores, in 82 out of the 85 selected cities. For each CITY PROFILE, the following data, indicators and forecasts are provided: Population and its rank within the sample, 2013, 2018 and 2023; Households and its rank within the sample, 2013, 2018 and 2023; Gross domestic product per capita and its rank within the sample, 2013, 2018 and 2023; Household’s consumption per capita and its rank within the sample, 2013, 2018 and 2023; Gross domestic product and its rank within the sample, 2013, 2018 and 2023; Household’s consumption and its rank within the sample, 2013, 2018 and 2023; Breakdown of households by the level of income, 2013, 2018 and 2023; Kitchen furniture demand and its growth rate, 2013, 2018 and 2023; Spatial analysis of the distribution of 50 brands within the city map; Spatial distribution of a selection of kitchen furniture stores. SELECTED CITIES group by geographic areas: Asia and Pacific: Melbourne, AU; Sydney, AU; Beijing, CN; Chengdu, CN; Chongqing, CN; Guangzhou, CN; Hangzhou, CN; Hong Kong, CN; Jinan, CN; Shanghai, CN; Tianjin, CN; Bangalore, IN; Mumbai, IN; Delhi, IN; Osaka, JP; Tokyo, JP; Seoul, KR; Kuala Lumpur-Klang Valley, MY; Auckland, NZ; Singapore, SG; Bangkok, TH; Ho Chi Minh City, VT. Eastern Europe outside the EU and Russia: Moscow, RU; Saint Petersburg, RU; Ankara, TR; Istanbul, TR; Kiev, UA. Europe: Vienna, AT; Brussels, BE; Prague, CZ; Copenhagen, DK; Helsinki, FI; Lyon, FR; Paris, FR; Berlin, DE; Frankfurt, DE; Munich, DE; Athens, GR; Budapest, HU; Dublin, IE; Milan, IT; Rome, IT; Amsterdam, NL; Oslo, NO; Warsaw, PO; Lisbon, PT; Bucharest, RO; Barcelona, ES; Madrid, ES; Stockholm, SE; Zurich, CH; London, UK; Manchester, UK. Middle East and Africa: Tel Aviv-Jaffa, IL; Doha, QA; Jedda, SA; Riyadh, SA; Cape Town, ZA; Abu Dhabi, AE; Dubai, AE. North America: Montreal, CA; Toronto, CA; Vancouver, CA; Mexico City, MX; Atlanta, US; Boston, US; Chicago, US; Dallas-Fort Worth, US; Detroit, US; Houston, US; Los Angeles, US; Miami, US; Minneapolis-Saint Paul, US; New York, US; Philadelphia, US; Phoenix, US; San Diego, US; San Francisco, US; Seattle, US; Washington, US. South America: Buenos Aires, AR; Rio de Janeiro, BR; Sao Paulo, BR; Santiago de Chile, CL; Bogota, CO; Lima, PE. Among the selected kitchen stores mentioned: 1000 Kuchnie, Al Meera Abu Dhabi, Architecs and Designers Bulding NY, Arredo 3 Mutfak, Binacci, Boffi Berlin, Bulthaup Berlin, Bulthaup Toronto, Bunnings, Cabinets and Beyond, Cabinets To Go, Casa Shopping, Chanintr Living, Da Vinci, Diacocina Madrid, Easy Home Beijing, Eggo, Eurokitchens, German Kitchen Center, Godrej Interio, Gruppo Cucine, HTH, International Market Center, Kaza Planejados, KIC ChongQing, Kitchen&Bath Shop, Kitchen Design Centre, Kitchen Innovation World Shanghai, Kitchen Works LA, Kuchnie Nolte, Kvik, La Cornue, Laura Ashley, Leicht Lisboa, Poggenpohl St Albans, Majestic Kitchens, Marquardt, Miacucina San Diego, Miami Design District, Modular Kitchen Delhi, Oppein Living, Panasonic Living Center, Poggenpohl Boston, Poliform Lyon, Porcelanosa Kitchen, Puustelli, ViA Hong Kong, Scavolini Detroit, Semel Kitchens, Shine Kitchen, Signature Interior, Stopino, theMart Chicago, TKI Amsterdam, Tulp Kitchens, Wuerfel Kuche Bangalore, Zahrani Kitchens. Among the kitchen brands mentioned: Al Meera Kitchens Arc Linea, Bertch, Bilotta, Boffi, Bulthaup, Crystal, Dada, De Wils, Dellanno, Dura Supreme, Elmwood, Eggersmann, Golden Home, Haecker, Hans Krug, Hanssem, Leicht, Lube, Marya, Mobalpa, Nobilia, Nolte, Oppein, Plain&Fancy, Poggenpohl, Poliform, Rutt, Scavolini, Siematic, Signature, Snaidero, Todeschini, Valcucine, Veneta Cucine, Wood Mode, WW Wood Products. Major Local markets monitored: Atlanta, Boston, Chicago, Dallas-Fort Worth, Detroit, Houston, Los Angeles, Miami, Minneapolis-Saint Paul, New York, Philadelphia, Phoenix, San Diego, San Francisco, Seattle, Washington. (*) Our economic and demographic indicator database is dated January 2020, therefore macroeconomic and sectorial estimations and forecasts were made before that date. The world has changed dramatically in the three months as the world has been put in a Great Lockdown. According to the IMF, 'the magnitude and speed of collapse in activity that has followed is unlike anything experienced in our lifetimes'. Up to the publication date of this report updates on forecasts up to 2023 havent be released.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.014 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".