1 00:00:08,560 --> 00:00:12,940 Hello in the previous weeks, you have learned how t o handle a variety 2 00:00:12,950 --> 00:00:18,300 of challenges for infrastructure development, and you have seen how information and telecommunication 3 00:00:18,300 --> 00:00:21,710 technologies shape future infrastructure development. 4 00:00:21,710 --> 00:00:25,590 However, we have not focused yet on the context of 5 00:00:25,590 --> 00:00:28,180 infrastructure development. 6 00:00:28,180 --> 00:00:34,020 The world in which we develop the next generation of infrastructures is a world that is being 7 00:00:34,020 --> 00:00:37,510 urbanized at an unprecedented pace. 8 00:00:37,510 --> 00:00:42,079 Since 2008, more than half of the current 7 billion world 9 00:00:42,079 --> 00:00:44,370 population is living in cities. 10 00:00:44,370 --> 00:00:48,980 By 2050, more than two thirds of the world population 11 00:00:48,980 --> 00:00:50,940 will be urban. 12 00:00:50,940 --> 00:00:57,230 The latest UN estimates of world population growth point out that by 2100, 13 00:00:57,230 --> 00:01:01,730 planet earth may be inhabited by 12 billion people. 14 00:01:01,730 --> 00:01:07,920 On the basis of the current urbanization trend it seems a safe bet that most of them will 15 00:01:07,920 --> 00:01:10,640 be living in cities. 16 00:01:10,640 --> 00:01:14,660 So what is it that makes cities so attractive? 17 00:01:14,670 --> 00:01:17,799 Has infrastructure something to do with it? 18 00:01:17,799 --> 00:01:23,320 Is it good or bad news that cities are growing, while rural areas are being depopulated? 19 00:01:23,320 --> 00:01:28,530 And what challenges do cities pose for infrastructure development, 20 00:01:28,530 --> 00:01:34,540 especially taking into account that the number of extremely large cities is increasing? 21 00:01:34,540 --> 00:01:41,490 Let us have a look at the pattern of urbanization worldwide. 22 00:01:41,490 --> 00:01:46,369 Looking at the percentage of the population of different countries that actually lives 23 00:01:46,369 --> 00:01:50,340 in cities, we see widely diverging figures. 24 00:01:50,340 --> 00:01:54,110 In Argentina , 92% of the population is urban, 25 00:01:54,110 --> 00:01:58,909 and more than 35% of the population lives in the largest city, 26 00:01:58,909 --> 00:02:04,240 Buenos Aires, where more than 13.6 million people live. 27 00:02:04,240 --> 00:02:12,080 We see a similar pattern in Japan, where 91% of the population is urban, 28 00:02:12,080 --> 00:02:19,870 with 32% of the population living in Tokyo, a megacity of more than 37 million people, 29 00:02:19,870 --> 00:02:23,720 in fact, the largest metropolitan area in the world. 30 00:02:23,720 --> 00:02:30,349 In 2012, according to urban area population and density update by geography. 31 00:02:30,349 --> 00:02:38,209 26 urban areas in the world qualified as megacities. 32 00:02:38,209 --> 00:02:44,360 So what defines an urban area, a city or a metropolitan area? 33 00:02:44,370 --> 00:02:49,480 According to New Geography, an urban area is an area of continuous urban 34 00:02:49,480 --> 00:02:52,370 development within a metropolitan area. 35 00:02:52,370 --> 00:02:59,659 An urban area or an urban agglomeration is the physical expression of a city – it is 36 00:02:59,659 --> 00:03:04,550 what you can see and touch: a concentration of built environment – homes, 37 00:03:04,550 --> 00:03:06,900 offices, industrial facilities, 38 00:03:06,900 --> 00:03:12,080 all types of infrastructure – which is clearly visible in a satellite view, 39 00:03:12,080 --> 00:03:14,810 especially at night. 40 00:03:14,810 --> 00:03:22,670 It is the physical environment where large numbers of people live and work in close proximity 41 00:03:22,670 --> 00:03:24,360 to each other. 42 00:03:24,360 --> 00:03:29,290 The economic and functional expression of a city is the metropolitan area. 43 00:03:29,290 --> 00:03:35,599 A metropolitan area is defined as an economic region: 44 00:03:35,599 --> 00:03:41,819 the combination of urban, sub-urban and rural areas which together comprise 45 00:03:41,819 --> 00:03:45,489 the labor market of the region. 46 00:03:45,489 --> 00:03:48,249 In wikipedia you will see a metropolitan area defined as: 47 00:03:48,249 --> 00:03:53,260 a region consisting of a densely populated urban core and its 48 00:03:53,269 --> 00:04:02,030 less densely populated surrounding territories, sharing industry, 49 00:04:02,030 --> 00:04:06,470 infrastructure and housing. 50 00:04:06,470 --> 00:04:11,239 Metropolitan areas include one or more urban areas, 51 00:04:11,239 --> 00:04:15,709 as well as satellite cities, towns and intervening rural areas that are 52 00:04:15,709 --> 00:04:21,459 socio-economically tied to the urban core – as typically is measured by commuting patterns. 53 00:04:22,669 --> 00:04:26,690 Hence, a metropolitan area usually comprises multiple 54 00:04:26,690 --> 00:04:28,350 jurisdictions: municipalities, 55 00:04:28,350 --> 00:04:30,020 counties, districts, 56 00:04:30,020 --> 00:04:33,160 even states and nations. 57 00:04:33,160 --> 00:04:36,840 Changing social, economic and political institutions have made 58 00:04:36,840 --> 00:04:46,840 metropolitan areas increasingly relevant as socio-economic entities and identities. 59 00:04:46,840 --> 00:04:52,580 How come that vast countries like Australia or Argentina are among the most urbanized 60 00:04:52,580 --> 00:04:54,720 countries in the world? 61 00:04:54,720 --> 00:05:00,680 Australia is largely empty , as 89% of the people huddle together in large 62 00:05:00,680 --> 00:05:04,000 urban agglomerations on its coasts. 63 00:05:04,000 --> 00:05:10,840 Why do 92% of the people in Argentina prefer to live in cities – with 35% of its population 64 00:05:10,840 --> 00:05:13,970 concentrated in Buenos Aires? 65 00:05:13,970 --> 00:05:18,950 Apparently, cities are an attractive habitat for the human species. 66 00:05:19,160 --> 00:05:25,620 Without going into psychological explanations, I think it is clear that for most people, 67 00:05:25,620 --> 00:05:29,910 the opportunities that cities offer for social interaction, 68 00:05:29,910 --> 00:05:31,930 jobs, education, 69 00:05:31,930 --> 00:05:37,889 cultural activities and so on, outweigh the disadvantages of living in cities. 70 00:05:37,889 --> 00:05:41,820 Indeed, the work of Geoffrey West, 71 00:05:41,820 --> 00:05:44,910 Louis Bettencourt and others at the Santa Fe institute, 72 00:05:44,910 --> 00:05:50,530 shows that the productivity of cities increases with the size of the urban population. 73 00:05:50,530 --> 00:05:56,440 The larger the city, the more innovation and wealth it produces per capita. 74 00:05:56,440 --> 00:06:04,360 But the productivity does not increase linearly with the size of the population, 75 00:06:04,360 --> 00:06:12,199 it increases in a supralinear fashion : doubling the size of the city systematically 76 00:06:12,199 --> 00:06:19,210 increases wealth and income with a scaling factor of 1.15. 77 00:06:19,210 --> 00:06:22,710 In other words, doubling the size of the city leads to more 78 00:06:22,710 --> 00:06:27,380 than double the productivity of the city, as we see an increase of 15% in, 79 00:06:27,380 --> 00:06:31,280 for example, wages and number of patents per capita. 80 00:06:31,280 --> 00:06:41,220 The city is an intriguing organism: whereas biological organisms scale sublinearly 81 00:06:41,220 --> 00:06:47,509 (their metabolism grows slower as the size of the organism increases), 82 00:06:47,509 --> 00:06:50,949 cities exhibit a opposite behaviour. 83 00:06:50,949 --> 00:06:59,180 Their metabolic rate increases supralinearly with increasing size of the urban system. 84 00:06:59,180 --> 00:07:03,620 Looking back into history, we see that natural infrastructure dictated 85 00:07:03,620 --> 00:07:07,710 the places where successful human settlement occurred. 86 00:07:07,710 --> 00:07:12,300 The rivers Euphrates, Tigris and Nile enabled civilization and with 87 00:07:12,300 --> 00:07:13,319 it, cities, 88 00:07:13,319 --> 00:07:19,160 to emerge in Mesopotamia and Egypt, around 6000 BC. 89 00:07:19,160 --> 00:07:22,940 Cities allow for a smart division of tasks and hence, 90 00:07:22,940 --> 00:07:28,150 economic specialization, which increases productivity and generates 91 00:07:28,150 --> 00:07:31,069 more wealth for all to share. 92 00:07:31,069 --> 00:07:34,780 Already then, man interfered with manmade infrastructure 93 00:07:34,780 --> 00:07:38,460 for a variety of essential functions, such as water storage, 94 00:07:38,460 --> 00:07:40,889 flood control and irrigation. 95 00:07:40,889 --> 00:07:44,590 Many of the techniques developed then are still in use today. 96 00:07:44,590 --> 00:07:52,699 People’s choice to live in cities has always been a trade-off between opportunity and risk: 97 00:07:52,699 --> 00:07:56,449 cities offered protection against enemies, but also risk, 98 00:07:56,449 --> 00:07:59,210 for example the risk of contagious diseases. 99 00:07:59,210 --> 00:08:03,970 In the past, many cities were situated in such a way that 100 00:08:03,970 --> 00:08:08,069 natural infrastructure posed a barrier to invading enemy forces. 101 00:08:08,069 --> 00:08:12,389 As example, Machu Picchu in Peru. 102 00:08:12,389 --> 00:08:17,530 As we can see today, with more and more megacities situated in 103 00:08:17,530 --> 00:08:22,759 flood-prone coastal zones, the location of cities is generally a trade-off 104 00:08:22,759 --> 00:08:26,319 between accessibility and safety. 105 00:08:26,319 --> 00:08:30,870 Coastal zones and river deltas offer premium shipping and trading opportunities. 106 00:08:30,870 --> 00:08:39,250 At the same time, they are vulnerable to flooding. 107 00:08:39,250 --> 00:08:43,380 One of the most extreme examples of such risks is the Western part of the Netherlands, 108 00:08:43,380 --> 00:08:46,430 which is situated below sea level. 109 00:08:46,430 --> 00:08:51,700 Dike ring 14 in this area, one of a total of 53 dike rings protecting 110 00:08:51,700 --> 00:08:56,649 the Netherlands from flooding, protects a region where 3.5 million people 111 00:08:56,649 --> 00:09:02,810 generate approximately 65% of the Dutch GDP. 112 00:09:02,810 --> 00:09:05,519 Urbanization patterns in the world differ widely. 113 00:09:05,519 --> 00:09:10,130 While Japan and Europe show very low urbanization rates, 114 00:09:10,130 --> 00:09:14,149 below 1%, the annual increase in urban population is 115 00:09:14,149 --> 00:09:21,570 above 1% in most parts of the world, and a staggering 2.3% and 2.4% in China and 116 00:09:21,570 --> 00:09:24,500 India, respectively. 117 00:09:24,500 --> 00:09:27,230 In Europe , megacities are the exception rather than the 118 00:09:27,230 --> 00:09:27,760 rule. 119 00:09:27,760 --> 00:09:30,839 Only Paris is a true megacity. 120 00:09:30,839 --> 00:09:36,680 In Germany and the Netherlands, with 74% and 83% of the population living 121 00:09:36,680 --> 00:09:42,140 in urban agglomerations, we see that the population is distributed 122 00:09:42,140 --> 00:09:46,290 over a large number of relatively small cities. 123 00:09:46,290 --> 00:09:50,730 In Japan and Argentina, the urban population is much more concentrated 124 00:09:50,730 --> 00:09:54,790 in fewer, much larger cities. 125 00:09:54,790 --> 00:09:59,839 By far the largest number of megacities is found in Asia. 126 00:09:59,839 --> 00:10:08,350 16 of today’s 26 megacities (with a population of over 10 million) are located in Asia. 127 00:10:08,350 --> 00:10:17,190 We see staggering population densities, up to 30,900 people/km2 in Mumbai, 128 00:10:17,190 --> 00:10:25,930 India and 44,400 people/km2 in Dhaka, Bangladesh. 129 00:10:25,930 --> 00:10:29,660 Looking at the patterns, we are tempted to speculate that the growth 130 00:10:29,660 --> 00:10:37,360 of megacities is an auto-catalytic process: as the opportunities increase supralinearly 131 00:10:37,360 --> 00:10:41,810 with the size of the city, the city becomes a stronger magnet for people 132 00:10:41,810 --> 00:10:44,240 and talent as it grows. 133 00:10:44,240 --> 00:10:48,140 Compare the NASA satellite images of the Pearl River Delta, 134 00:10:48,140 --> 00:10:53,620 the first one of October 1979 where you will find Guangzhou, 135 00:10:53,620 --> 00:10:58,910 the Guangdong state capital, as a very compact city. 136 00:10:58,910 --> 00:11:02,089 Since then, Shenzhen started to develop, 137 00:11:02,089 --> 00:11:08,570 as the first Special Economic Zone in China implemented by Deng Xiao Ping. 138 00:11:08,570 --> 00:11:15,620 On the NASA picture of January 2003 you can see how much difference that made. 139 00:11:15,620 --> 00:11:21,170 The Pearl River Delta is now home to approximately 45 million people, 140 00:11:21,170 --> 00:11:27,019 and the previously disparate urban agglomerations are now merging into a region-wide metropolis 141 00:11:27,019 --> 00:11:29,959 which is, moreover, 142 00:11:29,959 --> 00:11:32,100 strongly interconnected with Hong Kong. 143 00:11:32,100 --> 00:11:40,380 Is the current trend towards urbanization good or bad news for food , 144 00:11:40,380 --> 00:11:43,500 energy and water security? 145 00:11:43,500 --> 00:11:46,980 Is it good or bad news for the environment? 146 00:11:46,980 --> 00:11:51,680 What are its needs in terms of infrastructure development? 147 00:11:51,680 --> 00:11:53,940 How can infrastructure cater for ‘Better city, 148 00:11:53,940 --> 00:12:00,520 better life’ – the slogan of the Shanghai World expo in 2010? 149 00:12:00,520 --> 00:12:08,440 Is Infrastructure the key to the factor 8 efficiency improvement and productivity question? 150 00:12:08,450 --> 00:12:12,650 We will try to find some answers in the next module. 151 00:12:12,650 --> 00:12:15,790 Stay with us and thank you very much.