Table A2.
Study | Location | Population | GDP (billion dollars) | Latitude, Longitude | Temperature (°C) | Humidity (%) | Duration of Sunshine (hours) |
---|---|---|---|---|---|---|---|
Bourcier et al. (2003) [13] | Paris, France | 2,125,851 | 459.20 | 48.86, 2.35 | 9.31–16.90 | 54.70–89.90 | 4.54 |
Larrieu et al. (2009) [14] | Bordeaux, France | 600,000 | 17.70 | 44.84, −0.58 | — | — | 5.57 |
Chang et al. (2012) [4] | Taiwan, China | 23,037,031 | 392.92 | 25.03, 121.52 | 24.09 | 75.24 | 5.26 |
Chiang et al. (2012) [29] | Taiwan, China (four cities) a | 22,689,122 | 331.01 | 25.03, 121.52 | 23.78 | 77.25 | 4.95 |
Szyszkowicz et al. (2012) [27] | Edmonton, Canada | 626,500 | 28.80 | 53.53, -113.50 | 3.90 | 66.00 | 6.40 |
Hong et al. (2016) [6] | Shanghai, China | 23,030,000 | 244.90 | 31.27, 121.52 | 17.20 | 69.40 | 4.88 |
Szyszkowicz et al. (2016) [28] | Ontario, Canada (nine cities) b | 12,760,000 | 657.20 | 50.00, -85.00 | 9.09 | 72.20 | 5.64 |
Fu et al. (2017) [5] | Hangzhou, China | 9,018,000 | 145.93 | 30.25, 120.17 | 17.90 | 74.60 | 4.69 |
Jamaludin et al. (2017) [30] | Johor Bahru, Malaysian | 848,000 | 20.06 | 1.46, 103.76 | 25.50–27.80 | — | 5.75 |
Lee et al. (2018) [11] | Daegu, Korea | 2,279,000 | 45.387 | 35.87, 128.60 | — | — | 6.20 |
Seo et al. (2018) [10] | Seoul, South Korea | 10,442,426 | 280.00 | 37.53,127.02 | (7–9 month): 24.70 (1–3 month): −0.80 |
(7–9 month): 70.70 (1–3 month): 51.20 |
5.67 |
Szyszkowicz et al. (2019) [9] | Edmonton, Canada | 626,500 | 28.8025 | 53.53, -113.50 | — | — | 6.40 |
Note: “—“, no data; “a”, Four cities included Taipei, Kaohsiung, Yunlin, and Yilan; “b”, Nine cities include Algoma, Halton, Hamilton, London, Ottawa, Peel, Toronto, Windsor, and York.