1 00:00:00,120 --> 00:00:01,880 Speaker 1: Hey, everybody. I'm sure you know by now that I 2 00:00:01,880 --> 00:00:03,320 Speaker 1: live in London because I kind of say it all 3 00:00:03,320 --> 00:00:06,480 Speaker 1: the time. But I grew up in the US, in Virginia, 4 00:00:06,600 --> 00:00:09,200 Speaker 1: just outside Washington, d C. Growing up, I thought d 5 00:00:09,280 --> 00:00:11,440 Speaker 1: C was huge, mostly because I was small and it 6 00:00:11,560 --> 00:00:13,280 Speaker 1: was the only city I knew. And then I went 7 00:00:13,280 --> 00:00:15,720 Speaker 1: to New York and high school, and I thought, Okay, wow, 8 00:00:15,880 --> 00:00:18,520 Speaker 1: all right, now here is a big city. But then 9 00:00:18,640 --> 00:00:22,680 Speaker 1: later those perceptions were shattered when I visited Istanbul and Tokyo. 10 00:00:22,920 --> 00:00:26,200 Speaker 1: I mean, those are big cities. Some cities just seem 11 00:00:26,239 --> 00:00:27,840 Speaker 1: like they go on forever. But the first thing I 12 00:00:27,960 --> 00:00:29,720 Speaker 1: learned from the report we're going to talk about today 13 00:00:29,840 --> 00:00:32,280 Speaker 1: is that while they can't seem endless, cities only cover 14 00:00:32,440 --> 00:00:35,400 Speaker 1: three percent of global land mass but account for seventy 15 00:00:35,479 --> 00:00:38,519 Speaker 1: percent of global emissions. Because of that, cities around the 16 00:00:38,520 --> 00:00:42,320 Speaker 1: world are turning their focus to sustainability. Focus to sustainability, 17 00:00:42,680 --> 00:00:46,200 Speaker 1: improving air quality and using their resources more efficiently, using 18 00:00:46,240 --> 00:00:49,280 Speaker 1: electricity more efficiently, making their cities cleaner and more livable, 19 00:00:49,560 --> 00:00:52,400 Speaker 1: and making them more resilient to the effects of climate change. Today, 20 00:00:52,440 --> 00:00:55,960 Speaker 1: on the show, We're welcoming back krty Vasta, Technology and 21 00:00:56,000 --> 00:00:58,680 Speaker 1: innovation analysts for b NF. She'll tell us about how 22 00:00:58,680 --> 00:01:01,560 Speaker 1: cities are pushing towards the state ability, why now, and 23 00:01:01,560 --> 00:01:03,920 Speaker 1: how different cities are approaching the challenge in different ways, 24 00:01:04,440 --> 00:01:06,520 Speaker 1: and how all cities are using technology as a key 25 00:01:06,520 --> 00:01:08,880 Speaker 1: component to their strategy. Our discussion is based on a 26 00:01:08,920 --> 00:01:12,800 Speaker 1: report titled Digital Technologies for Smarter, more Sustainable Cities Being 27 00:01:12,800 --> 00:01:14,400 Speaker 1: If you just can get this report on BNF go 28 00:01:14,520 --> 00:01:17,000 Speaker 1: and the Bloomberg terminal, BENF dot com and the BNF 29 00:01:17,000 --> 00:01:19,679 Speaker 1: mobile app. As a reminder, BETF does not provide investment 30 00:01:19,720 --> 00:01:21,840 Speaker 1: or strategy device and you can hear the fullest claimer 31 00:01:21,840 --> 00:01:24,080 Speaker 1: at the end of the show. Mark Taylor and you're 32 00:01:24,080 --> 00:01:35,280 Speaker 1: listening to Switched on to BENF podcast cut Welcome, thanks 33 00:01:35,319 --> 00:01:37,960 Speaker 1: for having me. So let's start off as we always 34 00:01:38,000 --> 00:01:40,280 Speaker 1: do on the pod, just really basic. So we're going 35 00:01:40,319 --> 00:01:43,080 Speaker 1: to talk today about, you know, cities being more sustainable. 36 00:01:43,120 --> 00:01:46,280 Speaker 1: Why are cities focusing on sustainability now? I think cities 37 00:01:46,280 --> 00:01:49,560 Speaker 1: are actually facing a number of really complex challenges right now, 38 00:01:49,640 --> 00:01:53,360 Speaker 1: not just around sustainability. You know, to think more than 39 00:01:53,400 --> 00:01:56,400 Speaker 1: half of the world's population actually lives in cities, and 40 00:01:56,440 --> 00:01:59,160 Speaker 1: this is only projected to expand over the next decade, 41 00:01:59,360 --> 00:02:03,600 Speaker 1: which is then creating huge challenges around resource constraints, public 42 00:02:03,600 --> 00:02:06,920 Speaker 1: health and safety issues such as you know, traffic congestion, 43 00:02:06,960 --> 00:02:10,079 Speaker 1: increasing air pollution. And then at the same time we're 44 00:02:10,080 --> 00:02:12,960 Speaker 1: also seeing the effects of climate change and extreme weather 45 00:02:13,040 --> 00:02:16,760 Speaker 1: events like the floods that we recently saw in Germany, 46 00:02:16,880 --> 00:02:19,399 Speaker 1: and this is really putting a lot of people and 47 00:02:19,520 --> 00:02:23,440 Speaker 1: infrastructure at risk. So CITI has already had a lot 48 00:02:23,480 --> 00:02:25,880 Speaker 1: of this to think about. And then of course along 49 00:02:25,919 --> 00:02:31,120 Speaker 1: came this global pandemic which just exposed cities vulnerabilities to 50 00:02:31,400 --> 00:02:35,840 Speaker 1: health related emergencies, and city authorities have really been at 51 00:02:35,840 --> 00:02:38,960 Speaker 1: the forefront of tackling the pandemic and you know, enforcing 52 00:02:39,000 --> 00:02:43,000 Speaker 1: socially distanced walkways and managing public spaces, and in some ways, 53 00:02:43,000 --> 00:02:46,200 Speaker 1: I really think it's the pandemic that has actually marked 54 00:02:46,280 --> 00:02:50,320 Speaker 1: this historical moment for cities to really start to reimagine 55 00:02:50,400 --> 00:02:55,240 Speaker 1: urban life now with things like sustainability, you know, improved 56 00:02:55,280 --> 00:02:59,400 Speaker 1: air quality, improved resource efficiency, and of course resiliency at 57 00:02:59,440 --> 00:03:01,919 Speaker 1: the heart of of what they're focusing on. I remember 58 00:03:02,000 --> 00:03:04,320 Speaker 1: last year in London it was just you know, clear 59 00:03:04,320 --> 00:03:06,720 Speaker 1: as day, it was, it was just clear, you know, 60 00:03:06,840 --> 00:03:09,880 Speaker 1: during the height of the pandemic is terribly unfortunate, of course, 61 00:03:09,919 --> 00:03:13,480 Speaker 1: but it was noticeable. Yeah, No, air quality has actually 62 00:03:13,520 --> 00:03:16,799 Speaker 1: been really one of the biggest benefits that we've seen 63 00:03:16,840 --> 00:03:19,280 Speaker 1: an improvement in and I think because it's you know, 64 00:03:19,360 --> 00:03:21,560 Speaker 1: so stark, we can see it, it's right in front 65 00:03:21,600 --> 00:03:25,320 Speaker 1: of us. It's it's really driving this movement towards people 66 00:03:25,880 --> 00:03:29,720 Speaker 1: starting to reimagine what city life could be like with 67 00:03:29,840 --> 00:03:33,760 Speaker 1: things like sustainable practices in place. Air quality is one 68 00:03:33,760 --> 00:03:36,000 Speaker 1: of the big changes that we've seen that people want 69 00:03:36,000 --> 00:03:39,360 Speaker 1: to hold onto in this you know, future of cities 70 00:03:39,880 --> 00:03:43,000 Speaker 1: with a sustainable focus. And I don't know, it's maybe 71 00:03:43,040 --> 00:03:45,720 Speaker 1: it's just this week, or maybe this is a you know, 72 00:03:45,720 --> 00:03:48,280 Speaker 1: a sign of things to come. I don't know, but like, yeah, 73 00:03:48,360 --> 00:03:50,960 Speaker 1: you mentioned that the floods in Germany but also China, 74 00:03:51,120 --> 00:03:54,080 Speaker 1: and the air quality in New York City from the fires, 75 00:03:54,760 --> 00:03:57,400 Speaker 1: and there was this massive storm in London last week, 76 00:03:57,520 --> 00:04:00,000 Speaker 1: and the heat in Portland, like it all just seems 77 00:04:00,000 --> 00:04:02,440 Speaker 1: to be kind of adding up right now to make 78 00:04:02,440 --> 00:04:04,720 Speaker 1: it a really rough time to live in a lot 79 00:04:04,760 --> 00:04:08,440 Speaker 1: of cities. So kind of to review you you just 80 00:04:08,480 --> 00:04:10,160 Speaker 1: mentioned some of the things that are that are happening 81 00:04:10,200 --> 00:04:14,800 Speaker 1: are public health concerns, pollution, climate change, and I guess 82 00:04:14,920 --> 00:04:17,200 Speaker 1: energy security or security of of living in a city 83 00:04:17,400 --> 00:04:21,480 Speaker 1: in general. Our cities taking these challenges on like I know, 84 00:04:21,600 --> 00:04:23,560 Speaker 1: you know, you're not going to act based on just 85 00:04:23,560 --> 00:04:26,840 Speaker 1: what you heard what happened last week, but our cities 86 00:04:26,880 --> 00:04:32,279 Speaker 1: developing sustainability goals. Yeah, absolutely So. Actually has been a 87 00:04:32,320 --> 00:04:35,840 Speaker 1: record year where we've seen over nine hundred cities and 88 00:04:35,960 --> 00:04:41,839 Speaker 1: regions setting net zero emissions targets, and altogether this represents 89 00:04:41,880 --> 00:04:45,840 Speaker 1: about eleven percent of the global population. So if these 90 00:04:45,839 --> 00:04:49,200 Speaker 1: goals are fulfilled, it's likely to really make a significant 91 00:04:49,279 --> 00:04:52,880 Speaker 1: dent in the global cobbon footprint. In the report, you said, 92 00:04:53,160 --> 00:04:56,359 Speaker 1: I think it was seventy percent of emissions come from cities, 93 00:04:56,920 --> 00:04:59,159 Speaker 1: Is that right, Yeah, and it's just three percent of 94 00:04:59,160 --> 00:05:01,800 Speaker 1: the landmass that that that figure was just amazing to me. 95 00:05:02,080 --> 00:05:05,200 Speaker 1: It is, it's really it's really surprising. And also, you know, 96 00:05:05,240 --> 00:05:08,800 Speaker 1: cities consume about eight of the world's energy as well, 97 00:05:09,120 --> 00:05:12,279 Speaker 1: so governments are now really recognizing that in order to 98 00:05:12,600 --> 00:05:16,440 Speaker 1: hit these national level climate commitments that they're making, cities 99 00:05:16,480 --> 00:05:19,440 Speaker 1: are going to play a really huge part. And you 100 00:05:19,440 --> 00:05:22,640 Speaker 1: know what I find really exciting about cities net zero 101 00:05:22,760 --> 00:05:26,320 Speaker 1: goals and sustainability policies is that they've also started to 102 00:05:26,360 --> 00:05:30,120 Speaker 1: align with digitalization policies. What I mean by that is 103 00:05:30,160 --> 00:05:35,279 Speaker 1: that governments are recognizing that the real power of digital 104 00:05:35,279 --> 00:05:40,159 Speaker 1: technologies to advance sustainability outcomes, especially when they're applied in 105 00:05:40,279 --> 00:05:44,800 Speaker 1: areas like technologies to monitor emissions or in transport, you know, 106 00:05:44,880 --> 00:05:50,000 Speaker 1: smart mobility. Basically national and city level sustainability policies and 107 00:05:50,080 --> 00:05:56,240 Speaker 1: now directing funding to digitalized infrastructure adopt IoT sensors use 108 00:05:56,279 --> 00:06:01,440 Speaker 1: analytic software to really better understand and then optimize operations. 109 00:06:02,279 --> 00:06:04,360 Speaker 1: That's really cool, and so we'll dig into how these 110 00:06:04,360 --> 00:06:08,120 Speaker 1: digital technologies are being used to further these sustainability goals 111 00:06:08,279 --> 00:06:10,719 Speaker 1: in a bit, but first, can you tell us a 112 00:06:10,760 --> 00:06:13,400 Speaker 1: bit more about the sustainability goals themselves. In the report 113 00:06:13,440 --> 00:06:16,839 Speaker 1: you mentioned four main areas where cities tend to focus. 114 00:06:17,279 --> 00:06:21,200 Speaker 1: We've identified these four broad areas where we're seeing cities 115 00:06:21,240 --> 00:06:26,960 Speaker 1: actually set sustainability goals, and that's air quality, resource efficiency, 116 00:06:27,360 --> 00:06:32,480 Speaker 1: energy efficiency and use, and then the fourth area is resiliency. Now, 117 00:06:32,720 --> 00:06:34,880 Speaker 1: just to kind of explain a little bit about each 118 00:06:34,920 --> 00:06:38,080 Speaker 1: of these, about four point two million deaths are caused 119 00:06:38,080 --> 00:06:41,279 Speaker 1: by air pollution each year. And a lot of cities 120 00:06:41,279 --> 00:06:44,320 Speaker 1: are trying to tackle it. You know, they're investing investing 121 00:06:44,320 --> 00:06:48,200 Speaker 1: in better monitoring air quality monitoring technologies and satellites. But 122 00:06:48,279 --> 00:06:51,480 Speaker 1: what's really interesting to see now is that cities also 123 00:06:51,600 --> 00:06:55,640 Speaker 1: leveraging technologies to encourage walking and cycling through things like 124 00:06:55,720 --> 00:07:02,000 Speaker 1: journey planning apps or using AI to have demand responsive transport, 125 00:07:02,120 --> 00:07:05,719 Speaker 1: which is then reducing the number of vehicles on streets, 126 00:07:05,760 --> 00:07:09,560 Speaker 1: which then reduces traffic congestion improves air quality in return. 127 00:07:09,640 --> 00:07:14,280 Speaker 1: So there's a number of ways which data and technologies 128 00:07:14,280 --> 00:07:18,240 Speaker 1: are really driving an improvement in air quality for cities. 129 00:07:18,560 --> 00:07:21,160 Speaker 1: That's really cool. So on air quality for for work, 130 00:07:21,200 --> 00:07:23,200 Speaker 1: I actually go to used to go to Jakarta every 131 00:07:23,280 --> 00:07:26,720 Speaker 1: year to talk to people in the geothermal industry, and 132 00:07:26,760 --> 00:07:29,000 Speaker 1: one thing you'll notice about Jakarta is just there's just 133 00:07:29,240 --> 00:07:34,120 Speaker 1: tremendous traffic and bad air quality from if I'm honest. So, 134 00:07:34,160 --> 00:07:36,600 Speaker 1: what are some kind of examples of things that are 135 00:07:36,640 --> 00:07:40,720 Speaker 1: being done in cities, maybe like Jakarta to reduce air pollution. 136 00:07:41,040 --> 00:07:44,280 Speaker 1: So I think Shanghai is a really good example. What 137 00:07:44,320 --> 00:07:48,040 Speaker 1: they've recently done is Ali Baba launched an AI based 138 00:07:48,080 --> 00:07:51,480 Speaker 1: app called the City Brain to really try and improve 139 00:07:51,520 --> 00:07:54,800 Speaker 1: traffic congestion and improve their quality as a result. And 140 00:07:55,040 --> 00:07:57,080 Speaker 1: this is kind of like a service that works a 141 00:07:57,080 --> 00:08:00,280 Speaker 1: bit like a ride sharing app, where commuters buy a 142 00:08:00,320 --> 00:08:03,200 Speaker 1: bus ticket via this app and enter their start and 143 00:08:03,280 --> 00:08:05,680 Speaker 1: end locations, and the app then calculates the number of 144 00:08:05,960 --> 00:08:09,640 Speaker 1: buses required on the streets and it optimizes the journey 145 00:08:09,680 --> 00:08:11,600 Speaker 1: as a result as well. And I think this has 146 00:08:11,640 --> 00:08:15,480 Speaker 1: been really effective in kind of reducing the journey times 147 00:08:15,800 --> 00:08:20,680 Speaker 1: and also just improving commuter fatigue and just generally improving 148 00:08:20,840 --> 00:08:24,200 Speaker 1: air quality in cities which are really congested and have 149 00:08:24,320 --> 00:08:27,720 Speaker 1: this have this problem widespread. Okay, so we're gonna take 150 00:08:27,720 --> 00:08:32,720 Speaker 1: a quick break. Stay with us. So resource efficiency, what 151 00:08:32,760 --> 00:08:35,360 Speaker 1: can you tell me about that? Resource efficiency is actually 152 00:08:35,400 --> 00:08:39,360 Speaker 1: another another big area where city leaders are really thinking 153 00:08:39,400 --> 00:08:42,959 Speaker 1: about ways that they can optimize, you know, managing water 154 00:08:43,160 --> 00:08:48,720 Speaker 1: and reducing waste, implementing recycling and circular economy practices, and 155 00:08:48,760 --> 00:08:52,600 Speaker 1: also just thinking about methods that can be implemented to 156 00:08:53,040 --> 00:08:57,439 Speaker 1: introduce sustainable construction, which I think is a really interesting 157 00:08:57,559 --> 00:09:01,000 Speaker 1: area and there's a lot of interesting ways that technologies 158 00:09:01,000 --> 00:09:03,920 Speaker 1: can be applied to kind of improved the types of 159 00:09:04,000 --> 00:09:07,400 Speaker 1: materials that are being used in new building construction to 160 00:09:07,760 --> 00:09:11,440 Speaker 1: account for sustainability. One of my favorite examples is the 161 00:09:11,480 --> 00:09:16,679 Speaker 1: city of Amsterdam, which is using what's called a material passport, 162 00:09:17,160 --> 00:09:19,920 Speaker 1: which is actually really interesting. It's quite a new sort 163 00:09:19,920 --> 00:09:23,360 Speaker 1: of technology that's being piloted in a bunch of cities. 164 00:09:23,400 --> 00:09:28,040 Speaker 1: But it's basically working on creating a catalog of all 165 00:09:28,080 --> 00:09:31,640 Speaker 1: the components used in every public building to develop a 166 00:09:31,720 --> 00:09:35,880 Speaker 1: database of the materials, and then that database can then 167 00:09:35,920 --> 00:09:40,720 Speaker 1: help future building constructors. We use those materials in the future. 168 00:09:41,040 --> 00:09:43,760 Speaker 1: So you're saying, if somebody uses certain types of I 169 00:09:43,800 --> 00:09:47,880 Speaker 1: don't know, rebar or nuts or bolts or whatever, and 170 00:09:48,240 --> 00:09:49,960 Speaker 1: somebody and they're going to tear down that building and 171 00:09:50,000 --> 00:09:54,080 Speaker 1: somebody else needs those later, they can reuse those materials exactly. 172 00:09:54,480 --> 00:09:56,440 Speaker 1: So wrap this protupt So what does it mean to 173 00:09:56,440 --> 00:09:58,120 Speaker 1: be resilient for a city? So we have all these 174 00:09:58,120 --> 00:10:00,439 Speaker 1: things for about sustainability, but resilience seems to be a 175 00:10:00,480 --> 00:10:02,800 Speaker 1: bit at arts and just preparing for the worst. Is it? 176 00:10:03,120 --> 00:10:07,200 Speaker 1: Resilience is actually the most central part of a city strategy, 177 00:10:07,240 --> 00:10:10,760 Speaker 1: and it really goes hand in hand with sustainability. Given 178 00:10:10,800 --> 00:10:13,960 Speaker 1: that you know, what we're talking about when it comes 179 00:10:13,960 --> 00:10:18,800 Speaker 1: to resiliency is having systems and approaches and the flexibility 180 00:10:18,880 --> 00:10:22,400 Speaker 1: within a city to deal with unpredictable events and really 181 00:10:22,400 --> 00:10:26,120 Speaker 1: recover quickly when things go wrong. And I think what's 182 00:10:26,120 --> 00:10:30,080 Speaker 1: interesting now is what everybody is talking about digital resilience, 183 00:10:30,360 --> 00:10:33,680 Speaker 1: which is using data and analytics and software not just 184 00:10:33,760 --> 00:10:37,160 Speaker 1: to respond quickly and effectively to shocks, but also to 185 00:10:37,240 --> 00:10:40,960 Speaker 1: reduce the likelihood of emergencies happening in the first place. 186 00:10:41,480 --> 00:10:44,679 Speaker 1: And I think a really interesting example is the city 187 00:10:44,720 --> 00:10:48,880 Speaker 1: of l A is using a AI based disaster assessment 188 00:10:48,920 --> 00:10:51,800 Speaker 1: platform which basically pulls in a lot of data on 189 00:10:52,000 --> 00:10:55,520 Speaker 1: city infrastructure and previous disasters that have happened to then 190 00:10:55,559 --> 00:11:00,000 Speaker 1: try and predict the likelihood of a future disaster events 191 00:11:00,080 --> 00:11:03,200 Speaker 1: carring in the city. And the platform claims to estimate 192 00:11:03,240 --> 00:11:08,840 Speaker 1: events within accuracy within fifteen minutes of the data coming through, 193 00:11:08,880 --> 00:11:12,200 Speaker 1: And so this can have a huge impact on disaster 194 00:11:12,320 --> 00:11:16,600 Speaker 1: events and have a life saving impact. That's really amazing. 195 00:11:16,679 --> 00:11:18,559 Speaker 1: But it makes me think like, Okay, but that's that's 196 00:11:18,600 --> 00:11:21,520 Speaker 1: kind of good for l A because you know, it's 197 00:11:21,559 --> 00:11:24,240 Speaker 1: a wealthier city as opposed to many of the other 198 00:11:24,240 --> 00:11:26,640 Speaker 1: cities around the world that can afford to do types 199 00:11:26,640 --> 00:11:29,440 Speaker 1: of things like this. From the note you said, there 200 00:11:29,600 --> 00:11:32,640 Speaker 1: is kind of a relationship between a city's characteristics and 201 00:11:32,720 --> 00:11:35,840 Speaker 1: it's frankly wealth and the types of things that it 202 00:11:35,880 --> 00:11:39,120 Speaker 1: can do. So let's dig into the technology a bit 203 00:11:39,320 --> 00:11:42,360 Speaker 1: and the options available to cities based on kind of 204 00:11:42,360 --> 00:11:44,280 Speaker 1: what they are. As as you mentioned, you know, the 205 00:11:44,320 --> 00:11:47,720 Speaker 1: wealth of a city is really important when it comes 206 00:11:47,760 --> 00:11:51,800 Speaker 1: to understanding the types of technologies that cities are adopting. 207 00:11:52,480 --> 00:11:55,880 Speaker 1: Deployment is largely dependent on data availability as well, and 208 00:11:55,880 --> 00:11:58,520 Speaker 1: I can't really stress the importance of this. It all 209 00:11:58,600 --> 00:12:01,360 Speaker 1: starts with having you know, this base level of data 210 00:12:01,679 --> 00:12:05,240 Speaker 1: and information to really begin to understand where the weaknesses 211 00:12:05,280 --> 00:12:08,480 Speaker 1: lie in city infrastructure, and that in turn can then 212 00:12:08,520 --> 00:12:11,440 Speaker 1: help cities build the technology systems they need to to 213 00:12:11,520 --> 00:12:15,400 Speaker 1: kind of target their week week soft spots. So you're 214 00:12:15,400 --> 00:12:18,199 Speaker 1: saying tech is really kind of a first step in 215 00:12:18,559 --> 00:12:21,240 Speaker 1: a way to deploy sensors and things like that, so 216 00:12:21,320 --> 00:12:23,640 Speaker 1: you can collect the information so then you can deploy 217 00:12:23,679 --> 00:12:26,440 Speaker 1: the solutions later. Is that right? Yeah? So just you 218 00:12:26,480 --> 00:12:28,760 Speaker 1: know that, I'd say the primary, you know, the first 219 00:12:28,800 --> 00:12:33,360 Speaker 1: step would really be to just understand your systems, collect 220 00:12:33,480 --> 00:12:36,760 Speaker 1: data and and and actually integrate that data. So one 221 00:12:36,960 --> 00:12:40,200 Speaker 1: one thing that I think has been really successful for 222 00:12:40,400 --> 00:12:44,480 Speaker 1: a lot of cities is using open data sharing platforms. 223 00:12:44,880 --> 00:12:48,160 Speaker 1: London is a great example. There's the London Data Store, 224 00:12:48,200 --> 00:12:50,880 Speaker 1: which is a free and open data sharing portal and 225 00:12:51,000 --> 00:12:53,480 Speaker 1: it's used by both public and private entities to better 226 00:12:53,600 --> 00:12:56,800 Speaker 1: understand the city generally and come up with solutions to 227 00:12:56,840 --> 00:12:58,800 Speaker 1: many of its problems as well. And I think this 228 00:12:58,960 --> 00:13:03,120 Speaker 1: sort of platform is is great because it allows data 229 00:13:03,160 --> 00:13:06,439 Speaker 1: to be integrated and I mentioned but it also means 230 00:13:06,480 --> 00:13:09,760 Speaker 1: that the right information can be found in haste during 231 00:13:09,760 --> 00:13:13,160 Speaker 1: an emergency because it's all integrated, it's in one place 232 00:13:13,160 --> 00:13:17,000 Speaker 1: that's centralized. So yes, the first step would be having 233 00:13:17,240 --> 00:13:20,200 Speaker 1: the right information and the data available. What we go 234 00:13:20,320 --> 00:13:23,560 Speaker 1: through in the note is looking at three types of 235 00:13:23,559 --> 00:13:28,280 Speaker 1: city groupings. So we look at high income dense, high 236 00:13:28,280 --> 00:13:32,120 Speaker 1: income sprawling, and low income dense and it's quite interesting 237 00:13:32,160 --> 00:13:35,120 Speaker 1: to see the differences between them because they are quite stark. 238 00:13:35,360 --> 00:13:38,280 Speaker 1: So if we look at high income densities, for example, 239 00:13:38,360 --> 00:13:40,640 Speaker 1: you know they often do have a lot of better 240 00:13:40,679 --> 00:13:46,400 Speaker 1: connectivity and data. City infrastructure tends to be well connected, however, 241 00:13:46,440 --> 00:13:49,679 Speaker 1: it can be aging and quite inefficient. Older cities also 242 00:13:50,280 --> 00:13:53,640 Speaker 1: tend to have more experience in managing shocks and stresses, 243 00:13:53,840 --> 00:13:56,160 Speaker 1: but more recently they're becoming a lot more prone to 244 00:13:56,559 --> 00:14:00,880 Speaker 1: things like cyber attacks because their city infrastructure is interconnected, 245 00:14:01,200 --> 00:14:04,480 Speaker 1: and so actually, in high income dens cities, we're seeing 246 00:14:04,720 --> 00:14:08,360 Speaker 1: that resiliency is really the top priority. With their being 247 00:14:08,760 --> 00:14:12,680 Speaker 1: wealthier cities, they often have bigger budgets to allocate towards 248 00:14:12,760 --> 00:14:15,160 Speaker 1: digitalization as well. So this is going to be like 249 00:14:15,240 --> 00:14:18,120 Speaker 1: New York, right, Yeah, cities like New York, like London, 250 00:14:18,440 --> 00:14:23,640 Speaker 1: we're already seeing technologies like AI digital twins starting to 251 00:14:23,720 --> 00:14:27,040 Speaker 1: be experimented with and implemented in some places. And then 252 00:14:27,040 --> 00:14:30,800 Speaker 1: if we think about high income sprawling cities, this is 253 00:14:30,800 --> 00:14:34,400 Speaker 1: more about I guess the priority here is really air quality. 254 00:14:34,800 --> 00:14:38,720 Speaker 1: Given that people living in wealthy sprawling cities have a 255 00:14:38,760 --> 00:14:43,040 Speaker 1: greater reliance on cars, they often travel large distances from 256 00:14:43,080 --> 00:14:46,320 Speaker 1: the suburbs to the center, which then creates traffic jams, 257 00:14:46,360 --> 00:14:49,640 Speaker 1: and so often these types of cities are thinking about 258 00:14:49,720 --> 00:14:53,560 Speaker 1: ways that they can implement journey planning apps or AI 259 00:14:53,720 --> 00:14:58,120 Speaker 1: for demand responsive transport. Also, as as sprawling cities are 260 00:14:58,120 --> 00:15:02,600 Speaker 1: constantly growing, city to hevelopers may also find more opportunities 261 00:15:02,640 --> 00:15:07,160 Speaker 1: to pilots and deploy technologies like pipe leak detection in 262 00:15:07,280 --> 00:15:10,280 Speaker 1: urban areas for example. And then if we think about 263 00:15:10,320 --> 00:15:14,040 Speaker 1: the less wealthy cities tend to target the technologies that 264 00:15:14,080 --> 00:15:17,040 Speaker 1: have low data requirements as they often you know, already 265 00:15:17,160 --> 00:15:20,840 Speaker 1: lack the connectivity and data infrastructure with the type budgets 266 00:15:20,880 --> 00:15:24,520 Speaker 1: that they already have for digital projects. Often it's you know, 267 00:15:24,600 --> 00:15:27,320 Speaker 1: low income cities that depend on private companies as well 268 00:15:27,400 --> 00:15:30,920 Speaker 1: to invest in the digital infrastructure, and that then helps 269 00:15:30,960 --> 00:15:33,960 Speaker 1: them actually really understand the pain points in their systems. 270 00:15:34,440 --> 00:15:39,160 Speaker 1: That's interesting points. So how does the private company benefit 271 00:15:39,280 --> 00:15:42,400 Speaker 1: from installing digital infrastructure for a city. Do they get 272 00:15:42,400 --> 00:15:46,040 Speaker 1: a city contract or are they trying to get the data? Actually, 273 00:15:46,280 --> 00:15:50,080 Speaker 1: it's it's it's known to to be quite a complicated 274 00:15:50,280 --> 00:15:55,320 Speaker 1: system for you know, particularly small companies gaining these large 275 00:15:55,480 --> 00:16:00,680 Speaker 1: contracts with city governments. With private companies in lowing cities, 276 00:16:01,200 --> 00:16:04,560 Speaker 1: they often need the infrastructure themselves as part of you know, 277 00:16:04,640 --> 00:16:09,000 Speaker 1: their own operations, and so by having better internet connectivity 278 00:16:09,080 --> 00:16:13,640 Speaker 1: within regions where maybe it's it's not as dense, often 279 00:16:13,720 --> 00:16:16,160 Speaker 1: it's you know, an advantage to the private companies as 280 00:16:16,200 --> 00:16:21,200 Speaker 1: well to have access to say, better connectivity, better digital 281 00:16:21,200 --> 00:16:24,800 Speaker 1: infrastructure outside of the city or wherever they're based. That 282 00:16:24,840 --> 00:16:28,200 Speaker 1: then feeds into the city government as well, which is 283 00:16:28,240 --> 00:16:31,960 Speaker 1: then used by the broader city as well. And so 284 00:16:32,040 --> 00:16:35,320 Speaker 1: it's it's actually a benefit, it's a benefit overall benefits 285 00:16:35,320 --> 00:16:38,000 Speaker 1: both sides. Yeah, Okay. Taking us back to the example 286 00:16:38,040 --> 00:16:40,600 Speaker 1: of Jakarta again, it kind of remind kind of reminds 287 00:16:40,600 --> 00:16:41,880 Speaker 1: me of I don't know if this is the case, 288 00:16:41,920 --> 00:16:43,560 Speaker 1: but it would seem to be the case for like 289 00:16:43,600 --> 00:16:46,200 Speaker 1: a company like go Jack, which is like like Uber 290 00:16:46,360 --> 00:16:49,560 Speaker 1: in Jakarta, that they would want to install or have 291 00:16:50,040 --> 00:16:53,960 Speaker 1: information about traffic patterns in Jakarta so that they can 292 00:16:54,000 --> 00:16:57,480 Speaker 1: better provide their users with trip planning or trip timings 293 00:16:57,680 --> 00:17:00,400 Speaker 1: for the different journeys. Is that kind of what getting out? 294 00:17:00,400 --> 00:17:02,680 Speaker 1: So benefits the city from having the information, but it 295 00:17:02,720 --> 00:17:04,840 Speaker 1: also benefits go Jack to be able to tell their 296 00:17:04,840 --> 00:17:07,480 Speaker 1: customers how long their trip is going to take. Absolutely, yeah, 297 00:17:07,720 --> 00:17:10,800 Speaker 1: And it's and it's this case of like collecting information 298 00:17:10,880 --> 00:17:15,040 Speaker 1: and data and having that information feed into different other 299 00:17:15,080 --> 00:17:17,640 Speaker 1: areas of the city as well. So that's exactly that's 300 00:17:17,640 --> 00:17:21,880 Speaker 1: exactly that. Okay. So looking at these different types of cities, 301 00:17:22,119 --> 00:17:25,240 Speaker 1: the three different categories that that that you mentioned, is 302 00:17:25,280 --> 00:17:28,399 Speaker 1: there kind of a trend in who is setting up 303 00:17:28,400 --> 00:17:31,960 Speaker 1: sustainability goals. I mean, you mentioned that the focuses are different, 304 00:17:32,040 --> 00:17:35,800 Speaker 1: So on wealthy cities you'll have more on resilience, lower 305 00:17:35,800 --> 00:17:39,359 Speaker 1: income cities you'll have more on installing digital infrastructure to 306 00:17:39,400 --> 00:17:42,639 Speaker 1: get data. But is there a trend on who's setting 307 00:17:42,640 --> 00:17:45,320 Speaker 1: sustainability goals generally? Is it all the wealthy cities or 308 00:17:45,359 --> 00:17:48,240 Speaker 1: and you know, few of the lower income cities, or 309 00:17:48,359 --> 00:17:51,200 Speaker 1: vice versa, or is everybody doing it? I think it's 310 00:17:51,600 --> 00:17:54,760 Speaker 1: it's been There's been a range of announcements. I think 311 00:17:54,880 --> 00:17:58,359 Speaker 1: much of it is coming from the wealthier countries, but 312 00:17:58,440 --> 00:18:00,400 Speaker 1: actually much of it is coming from NASH and level 313 00:18:00,480 --> 00:18:02,960 Speaker 1: policies as well. So you know, a lot of these 314 00:18:03,000 --> 00:18:06,680 Speaker 1: green recovery packages that we've been seeing being launched last 315 00:18:06,720 --> 00:18:11,240 Speaker 1: year and this year are really driving funding into smart 316 00:18:11,280 --> 00:18:13,840 Speaker 1: cities and and often it is it is the wealthier 317 00:18:13,880 --> 00:18:17,760 Speaker 1: cities now, but of course they're implementing these technologies and 318 00:18:17,800 --> 00:18:20,840 Speaker 1: in some ways they're like pilot projects or experimentations which 319 00:18:20,840 --> 00:18:25,239 Speaker 1: would then be rolled out into the different cities, you know, 320 00:18:25,400 --> 00:18:28,760 Speaker 1: across across the country. And and you know, I think 321 00:18:28,880 --> 00:18:31,760 Speaker 1: it's important to say, you know, within a country you 322 00:18:31,800 --> 00:18:34,240 Speaker 1: get the whole range of types of cities, not all 323 00:18:34,280 --> 00:18:36,800 Speaker 1: of them within a wealthy country would be wealthy cities. Right, 324 00:18:36,840 --> 00:18:40,280 Speaker 1: that's also, you know, something to kind of take into account. Yeah, 325 00:18:40,280 --> 00:18:43,199 Speaker 1: it's been interesting to see how national level policy has 326 00:18:43,200 --> 00:18:46,320 Speaker 1: been feeding into city level policy as well. And I 327 00:18:46,359 --> 00:18:48,240 Speaker 1: think if we take the example of the e use 328 00:18:48,320 --> 00:18:52,200 Speaker 1: Green Deal within that, it actually emphasizes that cities really 329 00:18:52,200 --> 00:18:56,399 Speaker 1: need to leverage technologies like AI just to reach climate neutrality. 330 00:18:56,800 --> 00:18:59,639 Speaker 1: And they've they've dedicated about forty three billion just to 331 00:18:59,760 --> 00:19:02,760 Speaker 1: low carbon technology specifically, and I think I think that's 332 00:19:03,040 --> 00:19:05,920 Speaker 1: really a big sign just to say this is where 333 00:19:06,119 --> 00:19:08,760 Speaker 1: we need to focus. Okay, so it has a kind 334 00:19:08,760 --> 00:19:10,800 Speaker 1: of a chain for a country to reach a net 335 00:19:10,880 --> 00:19:13,520 Speaker 1: zero target, you have to tackle the cities right. You 336 00:19:13,560 --> 00:19:15,360 Speaker 1: have to get the cities right, and to do that 337 00:19:15,400 --> 00:19:18,240 Speaker 1: you need tech. It seems to be a huge part 338 00:19:18,280 --> 00:19:21,120 Speaker 1: of the whole picture. So talking about national level policy, 339 00:19:21,560 --> 00:19:25,760 Speaker 1: our team actually publishes a annual country Digitalization ranking where 340 00:19:25,800 --> 00:19:29,480 Speaker 1: we review the level of digitalization across a range of 341 00:19:29,520 --> 00:19:32,040 Speaker 1: countries and rank them. And I think as part of 342 00:19:32,040 --> 00:19:34,600 Speaker 1: that research, what we've what we've seen is there's been 343 00:19:34,600 --> 00:19:40,200 Speaker 1: this overlap between digitalization policy and sustainability policy as well. 344 00:19:40,240 --> 00:19:42,720 Speaker 1: And I think, you know, again that feeds directly into 345 00:19:42,760 --> 00:19:44,640 Speaker 1: what this note is about as well, where we're seeing 346 00:19:44,640 --> 00:19:49,000 Speaker 1: the same thing happening within cities. Yeah, definitely, Well when 347 00:19:49,080 --> 00:19:51,679 Speaker 1: is that out next? So we'll be publishing that in 348 00:19:51,680 --> 00:19:54,640 Speaker 1: the second half of this year, around end of Key three. 349 00:19:54,680 --> 00:19:57,040 Speaker 1: I'd say, okay, So I've got kind of two questions. 350 00:19:57,400 --> 00:20:00,600 Speaker 1: One is, you know, from doing all this research, what 351 00:20:00,640 --> 00:20:03,200 Speaker 1: do you see as the most there's the single most 352 00:20:03,200 --> 00:20:07,440 Speaker 1: impactful thing a city can do to be sustainable or decarbonized. 353 00:20:07,680 --> 00:20:10,520 Speaker 1: I got excited about seeing traffic control options in Jakarta, 354 00:20:10,640 --> 00:20:12,560 Speaker 1: for example. We talked about that, but like, what do 355 00:20:12,600 --> 00:20:15,399 Speaker 1: you think? So I can't stress the importance of data 356 00:20:15,440 --> 00:20:19,880 Speaker 1: availability and open data platforms are really a key part 357 00:20:19,920 --> 00:20:24,199 Speaker 1: of that. You know, having information available at city leaders 358 00:20:24,240 --> 00:20:28,040 Speaker 1: fingertips to really act and and you know, make decisions 359 00:20:28,119 --> 00:20:30,680 Speaker 1: quickly has been a crucial part of what we've seen 360 00:20:30,760 --> 00:20:33,960 Speaker 1: during the pandemic with you know, enforcing lockdowns and understanding 361 00:20:34,040 --> 00:20:36,399 Speaker 1: and how to manage the spread of the virus. But 362 00:20:36,440 --> 00:20:39,760 Speaker 1: it's also a bigger part of how cities should be 363 00:20:39,840 --> 00:20:41,639 Speaker 1: running on it on a day to day and I 364 00:20:41,680 --> 00:20:46,000 Speaker 1: think it's particularly important for sustainability as well. And finally, 365 00:20:46,200 --> 00:20:48,720 Speaker 1: so what's next for cities? You know, as I've mentioned 366 00:20:48,840 --> 00:20:51,480 Speaker 1: thousand times on this show, I I live in London 367 00:20:51,720 --> 00:20:54,160 Speaker 1: and so I've looked for these city projects quite a bit. 368 00:20:54,240 --> 00:20:55,960 Speaker 1: You know that they just installed the bike lane down 369 00:20:55,960 --> 00:20:57,840 Speaker 1: at the end of end of my street. When will 370 00:20:57,880 --> 00:21:00,680 Speaker 1: I start to see things happening in this guard in 371 00:21:00,680 --> 00:21:03,640 Speaker 1: in my city or in other cities. I think there's 372 00:21:03,840 --> 00:21:07,399 Speaker 1: the pandemic has really you know, marked this historic moment 373 00:21:07,480 --> 00:21:10,120 Speaker 1: to kind of push towards reimagining city. So I think 374 00:21:10,119 --> 00:21:12,840 Speaker 1: we're definitely going to reach a point where slowly we 375 00:21:12,880 --> 00:21:16,639 Speaker 1: will start to see changes, you know, maybe broader cycle 376 00:21:16,720 --> 00:21:20,840 Speaker 1: lanes as you mentioned, or you know, increased incentives to 377 00:21:21,040 --> 00:21:24,240 Speaker 1: actually cycle around the city or walk. But I think, 378 00:21:24,320 --> 00:21:26,960 Speaker 1: you know, the use of technology is is going to 379 00:21:27,000 --> 00:21:29,680 Speaker 1: be gradual. Even though you know there's it's happening now, 380 00:21:29,720 --> 00:21:31,560 Speaker 1: it's it's still going to be gradual. And I think 381 00:21:31,840 --> 00:21:34,880 Speaker 1: as soon as we get the use of AI across 382 00:21:34,920 --> 00:21:37,320 Speaker 1: public sector operations, I think that's really going to be 383 00:21:37,359 --> 00:21:42,119 Speaker 1: transformed transformative, particularly in the public sector operations, so like 384 00:21:42,400 --> 00:21:47,639 Speaker 1: creating efficiencies and cutting costs for general administrative tasks. I 385 00:21:47,640 --> 00:21:50,639 Speaker 1: think this will then eventually free up city budgets to 386 00:21:51,080 --> 00:21:54,760 Speaker 1: direct investments into digitalizing infrastructure as well. And I think 387 00:21:54,760 --> 00:21:58,919 Speaker 1: that's when it's become going to become really visible and 388 00:21:58,960 --> 00:22:02,560 Speaker 1: impactful in our day today lives. Thanks so much for 389 00:22:02,640 --> 00:22:12,840 Speaker 1: joining us, Thank you for having me. Today's episode of 390 00:22:12,840 --> 00:22:15,639 Speaker 1: Switched On was edited by Rex Warner of gray Stoke Media. 391 00:22:15,880 --> 00:22:18,120 Speaker 1: Bloomberg an e F is a service provided by Bloomberg 392 00:22:18,160 --> 00:22:21,240 Speaker 1: Finance LP and its affiliates. This recording does not constitute, 393 00:22:21,280 --> 00:22:24,840 Speaker 1: nor should it be construed as investment advice, investment recommendations, 394 00:22:25,000 --> 00:22:27,800 Speaker 1: or a recommendation as to an investment or other strategy. 395 00:22:27,840 --> 00:22:30,280 Speaker 1: Bloomberg an e F should not be considered as information 396 00:22:30,320 --> 00:22:33,600 Speaker 1: sufficient upon which to base an investment decision. 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