WEBVTT 00:00:01.310 --> 00:00:02.690 - What would the world look like 00:00:02.690 --> 00:00:05.330 if extreme climate change becomes reality? 00:00:05.330 --> 00:00:06.890 Well, here's just one example. 00:00:06.890 --> 00:00:10.070 If temperatures were to rise by three more degrees Celsius, 00:00:10.070 --> 00:00:13.080 Shanghai, a city of 24 million people in China 00:00:13.080 --> 00:00:14.870 will be wiped off the map. 00:00:14.870 --> 00:00:16.920 And it's not just the only coastal city, 00:00:16.920 --> 00:00:19.690 that's at risk of disappearing beneath rising sea levels. 00:00:19.690 --> 00:00:23.320 Globally 2019 was the second hottest year on record. 00:00:23.320 --> 00:00:24.740 Cities all throughout the world, 00:00:24.740 --> 00:00:27.190 experienced record setting summer temperatures. 00:00:27.190 --> 00:00:30.560 In June, 2019, temperatures in Churu, India, 00:00:30.560 --> 00:00:33.210 exceeded 120 degrees Fahrenheit, 00:00:33.210 --> 00:00:35.490 to the point that the government warned citizens 00:00:35.490 --> 00:00:38.170 to avoid drinking coffee, tea, and alcohol 00:00:38.170 --> 00:00:40.130 at a fear of overheating. 00:00:40.130 --> 00:00:42.790 Heat waves are becoming more severe 00:00:42.790 --> 00:00:45.010 and come in place due to climate change. 00:00:45.010 --> 00:00:47.420 Projected to lead to deaths at the same rate 00:00:47.420 --> 00:00:49.540 as all infectious diseases combined. 00:00:49.540 --> 00:00:52.970 This map here, shows the increase in the severity 00:00:52.970 --> 00:00:55.930 and prevalence of heat waves if the world follows 00:00:55.930 --> 00:00:57.750 a moderate warming scenario. 00:00:57.750 --> 00:01:01.580 By 2050, summertime highs of 95 degrees Fahrenheit, 00:01:01.580 --> 00:01:04.300 or 35 degrees Celsius, will become the new normal, 00:01:04.300 --> 00:01:06.930 in nearly 1000 cities triple the number of cities 00:01:06.930 --> 00:01:09.700 that currently experience these sweltering temperatures. 00:01:09.700 --> 00:01:12.330 But the irony is that cities are not just affected 00:01:12.330 --> 00:01:15.030 by climate change, they're also causing it. 00:01:15.030 --> 00:01:19.180 Cities consume between 60 and 80% of global energy resources 00:01:19.180 --> 00:01:21.650 and account for approximately 70% 00:01:21.650 --> 00:01:23.710 of global carbon dioxide emissions. 00:01:23.710 --> 00:01:25.430 As we can see here in this map, 00:01:25.430 --> 00:01:27.100 the light blue and the yellow areas 00:01:27.100 --> 00:01:28.620 correspond to those with the highest 00:01:28.620 --> 00:01:30.930 fossil fuel based carbon dioxide emissions, 00:01:30.930 --> 00:01:34.460 and also correspond to major urban centers. 00:01:34.460 --> 00:01:37.610 Aside from cities energy consumption, growing urban areas, 00:01:37.610 --> 00:01:39.180 convert the planets green surfaces 00:01:39.180 --> 00:01:41.310 to buildings and pavement, and these can absorb 00:01:41.310 --> 00:01:42.810 more of the sun's energy, 00:01:42.810 --> 00:01:44.330 than the natural grasslands and forests 00:01:44.330 --> 00:01:46.970 that they've replaced, making urban areas hotter 00:01:46.970 --> 00:01:48.530 than their surrounding environments. 00:01:48.530 --> 00:01:51.420 This phenomenon is called the urban heat island effect. 00:01:51.420 --> 00:01:53.490 Here in Singapore, downtown neighborhoods 00:01:53.490 --> 00:01:55.780 can be as much as seven degrees Celsius 00:01:55.780 --> 00:01:57.980 or 13 degrees Fahrenheit hotter, 00:01:57.980 --> 00:01:59.870 than the rain forests that were once here. 00:01:59.870 --> 00:02:02.150 While it's true that cities are contributing 00:02:02.150 --> 00:02:04.320 to climate change, they're also key actors 00:02:04.320 --> 00:02:07.210 in forging low carbon emission pathways. 00:02:07.210 --> 00:02:10.840 In dense cities like New York city and Tokyo for instance, 00:02:10.840 --> 00:02:13.050 the average resident is responsible 00:02:13.050 --> 00:02:16.160 for over two tons of carbon dioxide emissions per capita. 00:02:16.160 --> 00:02:19.290 This is less than a single passenger car emits 00:02:19.290 --> 00:02:21.490 in a single year in the United States. 00:02:21.490 --> 00:02:23.170 Cities around the world are stepping up 00:02:23.170 --> 00:02:25.710 to tackle climate change, with ambitious policies 00:02:25.710 --> 00:02:28.770 that often exceed the requirements of national governments. 00:02:28.770 --> 00:02:30.640 Take Copenhagen for example, 00:02:30.640 --> 00:02:33.640 it's committed to become carbon neutral by 2025 00:02:33.640 --> 00:02:35.760 and Glasgow in Scotland also plans 00:02:35.760 --> 00:02:38.160 to become carbon neutral by 2030. 00:02:38.160 --> 00:02:40.430 Today, there are more than 10,000 cities 00:02:40.430 --> 00:02:42.290 all around the world, that are committing 00:02:42.290 --> 00:02:44.400 to their own ambitious climate actions, 00:02:44.400 --> 00:02:46.870 plans that include emissions reduction targets, 00:02:46.870 --> 00:02:49.500 clean energy and sustainable transit projects, 00:02:49.500 --> 00:02:51.670 and also energy efficiency policies, 00:02:51.670 --> 00:02:53.380 that can save people and cities, 00:02:53.380 --> 00:02:56.260 money, energy, and emissions. 00:02:56.260 --> 00:02:59.220 Recent analysis shows there's just 6,000 cities 00:02:59.220 --> 00:03:01.110 combined with regions and companies, 00:03:01.110 --> 00:03:03.190 are undertaking climate initiatives 00:03:03.190 --> 00:03:04.750 that can reduce global emissions 00:03:04.750 --> 00:03:08.900 by up to two gigatons of carbon dioxide equivalent in 2030. 00:03:08.900 --> 00:03:12.510 That's roughly 4% of the world's total annual emissions 00:03:12.510 --> 00:03:14.650 on top of what national governments have pledged. 00:03:14.650 --> 00:03:17.410 And this is just the start, imagine what could happen 00:03:17.410 --> 00:03:19.690 if 20,000 cities were to band together 00:03:19.690 --> 00:03:21.340 to curb climate change. 00:03:21.340 --> 00:03:23.390 While this potential for city's climate action 00:03:23.390 --> 00:03:26.530 sounds really promising, cities must work to make sure 00:03:26.530 --> 00:03:29.510 that these policies are implemented fairly and equitably. 00:03:29.510 --> 00:03:32.200 Where you live in a city, your income, your race, 00:03:32.200 --> 00:03:35.010 research is showing that these factors can determine 00:03:35.010 --> 00:03:36.950 your access to environmental benefits 00:03:36.950 --> 00:03:38.900 like green space and sustainable transit, 00:03:38.900 --> 00:03:40.720 and they can also determine your share 00:03:40.720 --> 00:03:42.920 of environmental burdens like air pollution 00:03:42.920 --> 00:03:44.100 and climate change. 00:03:44.100 --> 00:03:46.150 We observe these neighborhood level disparities, 00:03:46.150 --> 00:03:48.500 particularly clearly, in the side-by-side images 00:03:48.500 --> 00:03:51.260 of Los Angeles, comparing income on the left, 00:03:51.260 --> 00:03:52.740 and tree cover on the right. 00:03:52.740 --> 00:03:55.700 The darkest green neighborhood has an average annual income 00:03:55.700 --> 00:03:58.270 of over a hundred thousand U.S. dollars per person. 00:03:58.270 --> 00:04:00.940 And over 70% of it has tree cover. 00:04:00.940 --> 00:04:03.000 The blue neighborhoods towards the bottom of the map, 00:04:03.000 --> 00:04:05.180 only have a third of the income per person 00:04:05.180 --> 00:04:10.160 and less than 5% tree cover, 70% versus five. 00:04:10.160 --> 00:04:12.520 This disparity has real consequences. 00:04:12.520 --> 00:04:14.840 Green spaces are often public spaces, 00:04:14.840 --> 00:04:16.540 and they're known to be associated 00:04:16.540 --> 00:04:18.460 with social and economic wellbeing. 00:04:18.460 --> 00:04:21.770 They can also reduce crime and foster social cohesion. 00:04:21.770 --> 00:04:24.890 Trees also can help to filter harmful air pollution 00:04:24.890 --> 00:04:27.170 and provide evaporative cooling and shade 00:04:27.170 --> 00:04:29.780 and relief for some of these high temperatures. 00:04:29.780 --> 00:04:31.700 So not only are those poor neighborhoods 00:04:31.700 --> 00:04:34.560 at a greater disadvantage from access to green space, 00:04:34.560 --> 00:04:36.660 but they're also more vulnerable to air pollution 00:04:36.660 --> 00:04:37.760 and climate change. 00:04:37.760 --> 00:04:40.480 We can observe particularly pronounced disparities 00:04:40.480 --> 00:04:42.490 and urban heat according to race. 00:04:42.490 --> 00:04:45.520 Our latest research shows that 97% 00:04:45.520 --> 00:04:47.300 of major urban areas in the United States, 00:04:47.300 --> 00:04:50.620 are exposing black populations and people of color, 00:04:50.620 --> 00:04:53.610 to a full degree Celsius higher of urban heat 00:04:53.610 --> 00:04:54.960 than their white counterparts. 00:04:54.960 --> 00:04:56.850 Take a look at this map of my hometown 00:04:56.850 --> 00:04:59.470 of Greenville, South Carolina, unlike the name suggests 00:04:59.470 --> 00:05:01.520 it is not green for everyone. 00:05:01.520 --> 00:05:04.850 The hottest areas of the county shown on the map in red 00:05:04.850 --> 00:05:06.940 correspond with the highest percentages 00:05:06.940 --> 00:05:08.830 of black and poor populations. 00:05:08.830 --> 00:05:11.340 And we're seeing similar patterns throughout cities, 00:05:11.340 --> 00:05:13.220 all across the United States. 00:05:13.220 --> 00:05:14.810 To address these inequalities, 00:05:14.810 --> 00:05:17.780 cities are starting to strategize and develop plans, 00:05:17.780 --> 00:05:20.230 that can ensure that climate benefits 00:05:20.230 --> 00:05:23.060 are provided to all of their citizens equally. 00:05:23.060 --> 00:05:26.580 Take Bogota, the capital city of Columbia for example, 00:05:26.580 --> 00:05:29.280 it has one of the most extensive bike networks 00:05:29.280 --> 00:05:32.860 in all of Latin America, connecting people to jobs, 00:05:32.860 --> 00:05:36.550 education centers, and recreational opportunities. 00:05:36.550 --> 00:05:39.010 A new bike highway project can allow 00:05:39.010 --> 00:05:43.400 for around 42,000 daily bicycle trips, and potentially avoid 00:05:43.400 --> 00:05:46.890 270,000 tons of greenhouse gas emissions. 00:05:46.890 --> 00:05:48.450 In Africa, where many cities 00:05:48.450 --> 00:05:50.600 lack universal access to electricity, 00:05:50.600 --> 00:05:54.360 many grids are providing approximately 73 million households 00:05:54.360 --> 00:05:55.920 with clean electricity. 00:05:55.920 --> 00:05:57.650 So as we can see from these examples, 00:05:57.650 --> 00:06:00.420 tackling climate change has to start in cities. 00:06:00.420 --> 00:06:02.260 Many cities are starting to flip the script 00:06:02.260 --> 00:06:04.810 on climate change, proving to be part of the solution 00:06:04.810 --> 00:06:06.250 and not just the problem. 00:06:06.250 --> 00:06:08.950 And bringing the kind of innovative solutions that we need 00:06:08.950 --> 00:06:12.673 for a more just and sustainable world, thank you.