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Breathe. | 0:00:31 | 0:00:35 | |
Clear your mind. | 0:00:35 | 0:00:41 | |
Forget everything you have learned. | 0:00:41 | 0:00:46 | |
China has changed. | 0:00:46 | 0:00:48 | |
Welcome. | 0:01:03 | 0:01:05 | |
Welcome to a country like none other, one that for so long has | 0:01:05 | 0:01:08 | |
gone its own way, with its own ancient traditions, | 0:01:08 | 0:01:10 | |
but which is now ready. | 0:01:10 | 0:01:13 | |
Ready for anything. | 0:01:13 | 0:01:20 | |
China may be thousands of years old, but... | 0:01:25 | 0:01:29 | |
It kind of feels quite young. | 0:01:29 | 0:01:35 | |
There is an energy here, an enthusiasm to welcome the world, | 0:01:38 | 0:01:41 | |
and also show the world what it has got. | 0:01:41 | 0:01:46 | |
And what it has got is not just factories churning out | 0:01:46 | 0:01:49 | |
other people's stuff. | 0:01:49 | 0:01:51 | |
The Chinese brands themselves are starting to break out. | 0:01:51 | 0:01:56 | |
"Made in China" has become "Designed in China." | 0:01:56 | 0:02:04 | |
Yet there are some parts of life here that you may consider | 0:02:04 | 0:02:07 | |
unpalatable. | 0:02:07 | 0:02:11 | |
Its take on human rights, its control of the media, | 0:02:11 | 0:02:13 | |
its attempts to censor inconvenient information behind that Great | 0:02:13 | 0:02:15 | |
Firewall. | 0:02:15 | 0:02:19 | |
From Facebook and Twitter to the mighty Apple, | 0:02:19 | 0:02:21 | |
western brands are not given an easy ride here, | 0:02:21 | 0:02:23 | |
although it is not blanket censorship, and people can | 0:02:23 | 0:02:26 | |
and do circumvent it. | 0:02:26 | 0:02:34 | |
But that offer from the Western invasion has allowed Chinese | 0:02:39 | 0:02:41 | |
innovation to flourish, and that is what we are | 0:02:41 | 0:02:43 | |
here to discover. | 0:02:43 | 0:02:49 | |
This is Click's Chinese story, part one. | 0:02:49 | 0:02:50 | |
Let's start with lunch, which on one day looked like this, | 0:02:59 | 0:03:02 | |
but on other days was consumed on the go, and brought to us | 0:03:02 | 0:03:05 | |
by an army of scooter-riding food angels like these. | 0:03:05 | 0:03:13 | |
Yet, today in Beijing we are ordering a delivery | 0:03:13 | 0:03:16 | |
from a local restaurant using WeChat, the social | 0:03:16 | 0:03:18 | |
network of China. | 0:03:18 | 0:03:22 | |
It is a full-on, multipurpose tool. | 0:03:22 | 0:03:24 | |
Think of a mix between Twitter, WhatsApp and Facebook. | 0:03:24 | 0:03:27 | |
You can do business, you can have fun. | 0:03:27 | 0:03:32 | |
Yes, China is trying to go big on innovation. | 0:03:32 | 0:03:35 | |
It has over 1,600 accelerators, including the rather nice looking | 0:03:35 | 0:03:40 | |
Innovation Works, founded by the head of Google China. | 0:03:40 | 0:03:46 | |
There is a wall here of the billion-dollar projects | 0:03:46 | 0:03:48 | |
they have backed, including one which has been valued | 0:03:48 | 0:03:50 | |
at over $3 billion. | 0:03:50 | 0:03:53 | |
Yep, more than 270 million people use this selfie-beautifying app | 0:03:53 | 0:03:56 | |
every month, and for now this includes me. | 0:03:56 | 0:04:02 | |
Pretty. | 0:04:03 | 0:04:05 | |
But they don't just use accelerators. | 0:04:05 | 0:04:07 | |
They have a whole startup street, called Innoway. | 0:04:07 | 0:04:12 | |
Above each cafe an incubator, and above each of those, | 0:04:12 | 0:04:17 | |
working space for new companies, which is free for three months. | 0:04:17 | 0:04:26 | |
And it is here that I met Ganshu Wu, whose own start-up is being talked | 0:04:26 | 0:04:30 | |
about as potentially revolutionising the autonomous car industry. | 0:04:30 | 0:04:36 | |
In China, the situation is a little bit different. | 0:04:36 | 0:04:38 | |
When the government tries to push something, it typically gets enough | 0:04:38 | 0:04:43 | |
attention, enough resources, enough forces. | 0:04:43 | 0:04:55 | |
So in China you know that you are always seeing everyone go | 0:04:55 | 0:04:58 | |
in the same direction. | 0:04:58 | 0:05:00 | |
It is good, it is bad. | 0:05:00 | 0:05:10 | |
But sometimes, at this point, everyone goes into this mass | 0:05:10 | 0:05:13 | |
entrepreneurship and innovation. | 0:05:13 | 0:05:14 | |
I think it helps. | 0:05:14 | 0:05:15 | |
But walking around Innoway, it doesn't really look | 0:05:15 | 0:05:17 | |
like there is that much take-up yet. | 0:05:17 | 0:05:21 | |
Still, if you are really successful, you don't just get your own street, | 0:05:21 | 0:05:24 | |
you get your own palace. | 0:05:24 | 0:05:28 | |
Welcome to DeepGlint. | 0:05:28 | 0:05:31 | |
It is led by Yong Zhao, a co-founder of Google Glass, | 0:05:31 | 0:05:34 | |
who today has invited me to take part in this colourful demo. | 0:05:34 | 0:05:39 | |
What is the purpose of the hula hoops? | 0:05:39 | 0:05:43 | |
We put it on the body, and no matter where you move, | 0:05:43 | 0:05:46 | |
it follows you. | 0:05:46 | 0:05:50 | |
Therefore they understand and behave accordingly. | 0:05:50 | 0:05:55 | |
DeepGlint specialises in 3-D vision and deep learning, | 0:05:55 | 0:05:57 | |
and uses this to make sense of how people are moving around. | 0:05:57 | 0:06:02 | |
One of our most important customers are banks. | 0:06:02 | 0:06:05 | |
They really want to understand people's behaviour in their space, | 0:06:05 | 0:06:08 | |
no matter whether you are a customer, or people walking | 0:06:08 | 0:06:10 | |
casually. | 0:06:10 | 0:06:12 | |
So if you are casual, you don't want to walk too fast, | 0:06:12 | 0:06:16 | |
like you are running. | 0:06:16 | 0:06:18 | |
That might mean something really bad is happening. | 0:06:18 | 0:06:22 | |
She is upset with you. | 0:06:23 | 0:06:24 | |
You are stealing the couch. | 0:06:24 | 0:06:27 | |
Or there are some places where they don't want you to get in. | 0:06:27 | 0:06:31 | |
If I walk on to this mat, they are going to complain. | 0:06:31 | 0:06:35 | |
This is a sensitive area. | 0:06:35 | 0:06:39 | |
Or if you stay in this room for too long, it also complains. | 0:06:39 | 0:06:44 | |
So if I wanted to rob this bank I would have to do it very slowly, | 0:06:44 | 0:06:48 | |
but also get it done very quickly. | 0:06:48 | 0:06:50 | |
Yes. | 0:06:50 | 0:06:51 | |
Right. | 0:06:51 | 0:06:52 | |
If somebody was hurt and falling on the floor, | 0:06:52 | 0:06:55 | |
the camera will know. | 0:06:55 | 0:06:57 | |
Someone is falling down. | 0:06:57 | 0:07:00 | |
So I have also not got to injure anyone, while moving | 0:07:00 | 0:07:02 | |
slowly and quickly. | 0:07:02 | 0:07:06 | |
You cannot do this! | 0:07:06 | 0:07:09 | |
I think I will rob somewhere else. | 0:07:09 | 0:07:14 | |
And it is more than just behaviour that is being monitored here. | 0:07:14 | 0:07:17 | |
DeepGlint supplies facial recognition systems that can pick | 0:07:17 | 0:07:19 | |
out hundreds of places at once, and even identify stolen cars, | 0:07:19 | 0:07:26 | |
not by their number plates, which may have been changed, | 0:07:26 | 0:07:28 | |
but by their markings, their stickers and their scratches. | 0:07:28 | 0:07:33 | |
Of course, it is not just in Beijing that you find innovation | 0:07:33 | 0:07:36 | |
start-ups and incubators. | 0:07:36 | 0:07:41 | |
They are happening all over this vast country. | 0:07:41 | 0:07:44 | |
And we have been to central China, to Chengdu, where something very | 0:07:44 | 0:07:47 | |
strange is going on. | 0:07:47 | 0:07:48 | |
Yes, I have travelled to the heart of China's Sichuan Province, | 0:07:52 | 0:07:55 | |
to the provincial capital, Chengdu. | 0:07:55 | 0:07:58 | |
It is famous for its pandas and mahjong. | 0:07:58 | 0:08:04 | |
There are even tables in the countryside. | 0:08:04 | 0:08:06 | |
I am playing mahjong, I think. | 0:08:06 | 0:08:18 | |
And it is now building a reputation for hi-tech too. | 0:08:18 | 0:08:24 | |
The University for Engineering, Science and Technology is one | 0:08:24 | 0:08:26 | |
of the best in the country for robotics. | 0:08:26 | 0:08:29 | |
There are 35,000 students here, from all over China. | 0:08:29 | 0:08:32 | |
And many of them make robots, including these autonomous | 0:08:32 | 0:08:34 | |
characters. | 0:08:34 | 0:08:46 | |
Kitted out with high-definition cameras, they are designed to carry | 0:08:46 | 0:08:49 | |
out jobs from neighbourhood watch to monitoring bail conditions. | 0:08:49 | 0:08:51 | |
They can even keep track of prisoners in jail. | 0:08:51 | 0:08:55 | |
The theme of surveillance is strong here, as you might expect. | 0:08:58 | 0:09:02 | |
A team from the university has developed this police car prototype. | 0:09:02 | 0:09:06 | |
The 360-degree camera mounted on the car's roof can automatically | 0:09:06 | 0:09:10 | |
scan for faces within a 60-metre radius. | 0:09:10 | 0:09:13 | |
I tested it out by going for a run, and it did pick out my face. | 0:09:13 | 0:09:17 | |
It would be matched against a police database to see if I was a criminal | 0:09:17 | 0:09:21 | |
or suspect, and then send an alert to the car | 0:09:21 | 0:09:23 | |
if I was a positive match. | 0:09:23 | 0:09:25 | |
The final version of the car should be able to pick people out at speeds | 0:09:25 | 0:09:29 | |
of up to 120 kilometres an hour. | 0:09:29 | 0:09:31 | |
Spooky stuff. | 0:09:31 | 0:09:35 | |
But we have really come to Chengdu to play with this. | 0:09:35 | 0:09:39 | |
Oh, my goodness, it is actually really intimidating. | 0:09:39 | 0:09:46 | |
Whoa! | 0:09:46 | 0:09:52 | |
The robot is designed to be as much like a human player as possible. | 0:09:58 | 0:10:03 | |
Its eyes are the HD cameras at the back of the court. | 0:10:03 | 0:10:06 | |
These computers send prediction data on where the shuttlecock will fall | 0:10:06 | 0:10:09 | |
back to the robot via Bluetooth. | 0:10:09 | 0:10:12 | |
Its hands are racquets. | 0:10:12 | 0:10:14 | |
The information received needs to be millimetre-accurate for it | 0:10:14 | 0:10:16 | |
to get shots back. | 0:10:16 | 0:10:25 | |
The robot starts in the central position. | 0:10:25 | 0:10:26 | |
Its brain has a map of the court, and it won't venture | 0:10:26 | 0:10:29 | |
outside the lines. | 0:10:29 | 0:10:31 | |
I think I can beat him, but he is... | 0:10:31 | 0:10:39 | |
So how did you get involved in this project? | 0:10:39 | 0:10:41 | |
And did you win the competition? | 0:10:41 | 0:10:44 | |
Yeah, of course! | 0:10:55 | 0:10:56 | |
Champion! | 0:10:56 | 0:10:57 | |
No arguing there. | 0:10:57 | 0:11:06 | |
You don't have to drive far in China's cities | 0:11:17 | 0:11:19 | |
to hit this. | 0:11:19 | 0:11:21 | |
HORNS BEEPING | 0:11:21 | 0:11:22 | |
In fact, this is why you can't really drive far at all. | 0:11:22 | 0:11:26 | |
Not in less than an hour, anyway. | 0:11:26 | 0:11:29 | |
And that might explain why China is working fast to catch up | 0:11:29 | 0:11:32 | |
with the current talk of the town, autonomous cars. | 0:11:32 | 0:11:36 | |
Right now everyone owns a private car. | 0:11:36 | 0:11:43 | |
But down the road, it doesn't need to be this way. | 0:11:43 | 0:11:46 | |
The car can be shared among many people. | 0:11:46 | 0:11:48 | |
Only 5% of the time the car is driven, 95% of the time | 0:11:48 | 0:11:51 | |
it is parked. | 0:11:51 | 0:11:52 | |
So if you have autonomous cars, they can drive off and go away. | 0:11:52 | 0:11:55 | |
Yes, they can go away. | 0:11:55 | 0:11:57 | |
It is easy. | 0:11:57 | 0:12:00 | |
Yes, when you think about it, there is a good argument for sharing | 0:12:00 | 0:12:03 | |
autonomous vehicles, and that argument is being made | 0:12:03 | 0:12:06 | |
by Baidu, China's largest search engine. | 0:12:06 | 0:12:09 | |
It has developed a plan to design a test area for autonomous cars | 0:12:09 | 0:12:13 | |
and buses over the next five years. | 0:12:13 | 0:12:18 | |
This is Baidu's autonomous car. | 0:12:18 | 0:12:23 | |
It is a BMW, with all the features of any autonomous car. | 0:12:23 | 0:12:27 | |
You have super-accurate GPS there, lidar, or laser-accurate radar, | 0:12:27 | 0:12:30 | |
on the top and on all four sides, and on the front, millimetre-wave | 0:12:30 | 0:12:33 | |
radar, and a ton of cameras in the windscreen, to watch out | 0:12:33 | 0:12:36 | |
for obstacles and map the roads. | 0:12:36 | 0:12:38 | |
And inside, possibly the most important feature of any autonomous | 0:12:38 | 0:12:40 | |
car, an emergency red stop button. | 0:12:40 | 0:12:43 | |
But is driving in China any different to driving anywhere else | 0:12:46 | 0:12:48 | |
in the world? | 0:12:48 | 0:12:50 | |
Well, to get a sense of the actual technology you'd need to navigate | 0:12:50 | 0:12:53 | |
in Beijing traffic, I was taken for a ride by that famous | 0:12:53 | 0:12:56 | |
Chinese company...Volvo. | 0:12:56 | 0:13:00 | |
Quite a bit of the technology that we will find in autonomous cars | 0:13:03 | 0:13:07 | |
already exists and is already in cars that you can buy today. | 0:13:07 | 0:13:12 | |
This one, for example, can keep a safe distance | 0:13:12 | 0:13:15 | |
from the car in front and it can keep in lane, | 0:13:15 | 0:13:17 | |
as long as it can see good lane markings either side of it. | 0:13:17 | 0:13:22 | |
Not that we have much opportunity to use those features here. | 0:13:22 | 0:13:27 | |
I wouldn't call it chaos, everyone did seem to know | 0:13:27 | 0:13:30 | |
what they were doing. | 0:13:30 | 0:13:32 | |
Everyone except me. | 0:13:32 | 0:13:34 | |
I don't even know how many lanes there are here. | 0:13:34 | 0:13:37 | |
If you are an autonomous car, you need to deal with this, | 0:13:37 | 0:13:40 | |
you need to deal with this chap. | 0:13:40 | 0:13:42 | |
You need to deal with the man coming past a few minutes | 0:13:42 | 0:13:45 | |
ago selling turtles. | 0:13:45 | 0:13:47 | |
So, a little way to go before we hit this sexy vision of the future. | 0:13:54 | 0:13:59 | |
Chinese video streaming company Letv says it is developing | 0:13:59 | 0:14:01 | |
its own self-driving car. | 0:14:01 | 0:14:04 | |
Why? | 0:14:04 | 0:14:06 | |
Because in the future what else will we be doing in our autonomous | 0:14:06 | 0:14:10 | |
cars than watching its TV and movie service? | 0:14:10 | 0:14:16 | |
Hmm. | 0:14:16 | 0:14:17 | |
Certainly looks like it will cost a fortune and, | 0:14:17 | 0:14:19 | |
yes, that is a problem. | 0:14:20 | 0:14:21 | |
Autonomous cars are expensive to develop and will be filled | 0:14:21 | 0:14:23 | |
with expensive components. | 0:14:23 | 0:14:28 | |
But, interestingly, this car, developed by Uisee, a company | 0:14:28 | 0:14:32 | |
founded by our good friend Gansha Wu, is dispensing | 0:14:32 | 0:14:34 | |
with the very expensive lidar and inertial sensors | 0:14:34 | 0:14:38 | |
and using cheaper stereo cameras to help it see in a different way. | 0:14:38 | 0:14:45 | |
We have an interesting metaphor. | 0:14:46 | 0:14:47 | |
So, Google has pretty good eyesight based on all the censors. | 0:14:47 | 0:14:50 | |
So it has an eyesight of 2.0. | 0:14:50 | 0:14:55 | |
So they don't need to be very smart. | 0:14:55 | 0:14:57 | |
Probably they have an IQ of 120. | 0:14:57 | 0:15:09 | |
But for us we want to have an eyesight of 1.5, | 0:15:09 | 0:15:12 | |
with an IQ of 180. | 0:15:12 | 0:15:13 | |
We actually built a supercomputer in the car. | 0:15:13 | 0:15:14 | |
All of this traffic is contributing to another big problem here. | 0:15:16 | 0:15:20 | |
Pollution. | 0:15:20 | 0:15:36 | |
In 1978 there were just 1.3 million vehicles on China's roads. | 0:15:36 | 0:15:38 | |
Today there are 279 million. | 0:15:38 | 0:15:40 | |
The smog is sometimes so bad it's breathtaking. | 0:15:40 | 0:15:42 | |
You can see the haze kind of over there, but you will get a much | 0:15:42 | 0:15:45 | |
better idea from the top of this building here. | 0:15:45 | 0:15:48 | |
Right, so, now you can see it, can't you? | 0:15:48 | 0:15:58 | |
There's the Olympic tower, the Water Cube, | 0:15:58 | 0:16:03 | |
and the Bird's Nest Olympic Stadium. | 0:16:03 | 0:16:05 | |
There are mountains over there, trust me! | 0:16:05 | 0:16:06 | |
Not that you've got a chance to see them today. | 0:16:06 | 0:16:09 | |
It's up here that I'm meeting IBM's chairman in China, | 0:16:09 | 0:16:11 | |
Liming Chen, who has his eye on a cleaner future. | 0:16:11 | 0:16:21 | |
We normally use 1978 as a kind of benchmark. | 0:16:21 | 0:16:23 | |
That's the year China opened up, right? | 0:16:23 | 0:16:25 | |
If you look at the population in 1978, our population | 0:16:25 | 0:16:27 | |
was only 960 million. | 0:16:27 | 0:16:28 | |
Today we have 1.35 billion. | 0:16:28 | 0:16:35 | |
The net increase is almost 400 million. | 0:16:35 | 0:16:38 | |
So whenever you have a population increase then you have energy | 0:16:38 | 0:16:41 | |
consumption, no doubt about that. | 0:16:41 | 0:16:45 | |
Couple that massive growth in population, traffic and industry | 0:16:46 | 0:16:48 | |
with the fact that China's main fossil fuel is the one that produces | 0:16:48 | 0:16:51 | |
the most CO2, coal, and you can see why the horizon is so grey. | 0:16:51 | 0:16:55 | |
Previous attempts to turn it blue again have involved shutting down | 0:16:55 | 0:16:57 | |
everything, factories and traffic, in the whole Beijing area for four | 0:16:57 | 0:17:00 | |
weeks in the run-up to the 2008 Beijing Olympics. | 0:17:00 | 0:17:15 | |
But IBM has developed a smarter way to manage pollution and turn | 0:17:15 | 0:17:18 | |
the horizon green. | 0:17:18 | 0:17:19 | |
This is the home of the Green Horizon Project, a massive | 0:17:19 | 0:17:22 | |
undertaking to predict where and how bad the pollution will | 0:17:22 | 0:17:29 | |
be ten days ahead. | 0:17:29 | 0:17:30 | |
Not only does Green Horizon help predict which areas will be hit | 0:17:30 | 0:17:33 | |
worst, it can help predict the environmental and economic | 0:17:33 | 0:17:36 | |
effects of different pollution management strategies, | 0:17:36 | 0:17:43 | |
from shutting down certain factories to banning traffic | 0:17:43 | 0:17:45 | |
in different areas. | 0:17:45 | 0:17:51 | |
Now, an enormous amount of data is being analysed here, | 0:17:51 | 0:17:53 | |
coming from ground sensors, satellites, weather forecasts, | 0:17:53 | 0:17:55 | |
geographic information, traffic data and factory emission monitoring. | 0:17:55 | 0:17:57 | |
Green Horizon is even learning how to read comments and pictures | 0:17:57 | 0:18:00 | |
on social media. | 0:18:00 | 0:18:07 | |
Social media can help us to quickly locate some of the pollution events. | 0:18:07 | 0:18:10 | |
Leaking, or illegal emissions, so we can use social media data | 0:18:10 | 0:18:13 | |
to help quickly find out those pollution sources. | 0:18:13 | 0:18:23 | |
This project is already active in several cities in China and it's | 0:18:23 | 0:18:25 | |
being piloted in New Delhi and Johannesburg too. | 0:18:25 | 0:18:27 | |
I've been gobsmacked at just how stunning Beijing is. | 0:18:27 | 0:18:34 | |
But it's going to take an awful lot of work to keep the air clean enough | 0:18:34 | 0:18:38 | |
for us all to appreciate it. | 0:18:38 | 0:18:48 | |
No such problems here - 1,500 kilometres to the south-west | 0:18:48 | 0:18:51 | |
of the capital in central China, in the mist covered | 0:18:51 | 0:18:53 | |
mountains of Zhangjiajie. | 0:18:53 | 0:19:09 | |
I've come to China's oldest national park, | 0:19:09 | 0:19:11 | |
which holds a very new secret. | 0:19:11 | 0:19:12 | |
Tucked away on the edge of this World Heritage Site, | 0:19:12 | 0:19:15 | |
someone's decided to build a bridge from the middle of nowhere | 0:19:15 | 0:19:18 | |
to the middle of nowhere. | 0:19:18 | 0:19:19 | |
Unlike me, they hope the thousands of visitors that will come | 0:19:19 | 0:19:22 | |
here won't be too scared to look down, 300 metres through the world's | 0:19:22 | 0:19:25 | |
highest glass walkway. | 0:19:25 | 0:19:28 | |
These are the final days of construction | 0:19:30 | 0:19:32 | |
for this three-year project. | 0:19:32 | 0:19:33 | |
More than 300 engineers have worked through all weather conditions | 0:19:33 | 0:19:35 | |
to build what's also the world's longest glass-bottomed bridge, | 0:19:35 | 0:19:43 | |
a breathtaking 430 metres, crossing Zhangjiajie's grand canyon. | 0:19:43 | 0:19:56 | |
And the bridge, you can see, it opens up to the sky. | 0:19:56 | 0:19:59 | |
Usually bridges are parallel and this one is like that, | 0:19:59 | 0:20:02 | |
so you feel the sky is coming into the bridge. | 0:20:02 | 0:20:04 | |
The walkway itself is just 60 centimetres thick, | 0:20:04 | 0:20:06 | |
so the challenge to keep everything stable has required | 0:20:06 | 0:20:09 | |
some fresh thinking. | 0:20:09 | 0:20:16 | |
70 glass balls are to be positioned on springs along the walkway. | 0:20:16 | 0:20:18 | |
They have been designed to move to counter any swaying. | 0:20:18 | 0:20:21 | |
These curvy railings will persuade up to 800 visitors to keep changing | 0:20:21 | 0:20:25 | |
direction, offsetting the resonance caused by hundreds walking | 0:20:25 | 0:20:27 | |
at a constant speed. | 0:20:27 | 0:20:33 | |
And then there are the water tanks. | 0:20:33 | 0:20:37 | |
TRANSLATION: We are going to put four water tanks on the bridge. | 0:20:37 | 0:20:40 | |
When the bridge vibrates the water inside these tanks will make waves. | 0:20:40 | 0:20:43 | |
We've calculated the size of the tanks so the frequency | 0:20:43 | 0:20:46 | |
of the water waves and the bridge's vibration are different. | 0:20:46 | 0:20:48 | |
So when the bridge vibrates the water tanks can help to stop it. | 0:20:48 | 0:21:02 | |
They are hoping to sway tourists to stay longer. | 0:21:02 | 0:21:04 | |
This amphitheatre will host fashion and light shows and next year you'll | 0:21:04 | 0:21:07 | |
be able to throw yourself off the edge and experience the world's | 0:21:07 | 0:21:11 | |
highest bungee jump. | 0:21:11 | 0:21:19 | |
At this altitude you can't afford for anything to go wrong. | 0:21:19 | 0:21:21 | |
And eight months ago it did. | 0:21:21 | 0:21:30 | |
Pictures showing how a cliff hugging glass walkway had smashed under | 0:21:30 | 0:21:33 | |
the feet of a tourist after he dropped a mug went viral. | 0:21:33 | 0:21:36 | |
The walkway was closed. | 0:21:36 | 0:21:37 | |
Our hosts were keen to show me just how safe I was. | 0:21:37 | 0:21:40 | |
Each panel of the walkway has three levels of toughened glass, | 0:21:40 | 0:21:43 | |
held together by glue. | 0:21:43 | 0:21:48 | |
Well, the president has given me a hammer and says that even if I get | 0:21:48 | 0:21:56 | |
through all three layers of glass I won't fall through. | 0:21:56 | 0:22:03 | |
He also says I will be the toughest man in the world if I can get | 0:22:03 | 0:22:07 | |
through this lot. | 0:22:07 | 0:22:08 | |
So this is how they are going to assuage people's | 0:22:08 | 0:22:10 | |
fears of glass bridges. | 0:22:10 | 0:22:11 | |
Here goes! | 0:22:11 | 0:22:21 | |
And it looks like you can see the top glass has shattered here. | 0:22:21 | 0:22:25 | |
Three! | 0:22:25 | 0:22:25 | |
Oh! | 0:22:25 | 0:22:28 | |
We're OK. | 0:22:29 | 0:22:31 | |
Oh! | 0:22:31 | 0:22:35 | |
PANTS | 0:22:35 | 0:22:40 | |
Do you know what? | 0:22:42 | 0:22:43 | |
I think this might be safe! | 0:22:43 | 0:22:48 | |
OK, guys, we get the point. | 0:22:49 | 0:22:55 | |
And so at last it was time to welcome the very first specially | 0:22:55 | 0:22:58 | |
invited tourists onto the glass. | 0:22:58 | 0:23:03 | |
It is an unnerving experience and it takes a little | 0:23:15 | 0:23:18 | |
while to get used to. | 0:23:18 | 0:23:28 | |
I have only just begun to be able to do that. | 0:23:28 | 0:23:31 | |
It's a remarkable feat and it is really something | 0:23:31 | 0:23:33 | |
for the eyes. | 0:23:33 | 0:23:34 | |
This entire structure is incredibly impressive and I'm sure we'll get | 0:23:34 | 0:23:37 | |
very, very similar reactions when it is opened to | 0:23:37 | 0:23:39 | |
the public next month. | 0:23:39 | 0:23:42 | |
Dan Simmons, in Zhangjiajie. | 0:23:42 | 0:23:52 | |
And our China adventure continues later this month with two more shows | 0:23:53 | 0:23:56 | |
from this amazing country. | 0:23:57 | 0:23:58 | |
Next week we're in Los Angeles for the world's biggest video | 0:23:58 | 0:24:04 | |
games expo, E3. | 0:24:04 | 0:24:07 | |
For now, enjoy the view. | 0:24:07 | 0:24:08 | |
Hello there. | 0:24:26 | 0:24:27 | |
All sorts going on this weekend, weatherwise. | 0:24:27 | 0:24:28 | |
Continuing to have huge variety in our weather over the next few | 0:24:28 | 0:24:31 | |
days, keep your eye on the forecast. | 0:24:31 | 0:24:33 | |
On Saturday, it was lovely, blue skies and sunshine in Cornwall | 0:24:33 | 0:24:36 | |
made it feel very warm. | 0:24:36 | 0:24:42 |