WEBVTT

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[SQUEAKING, RUSTLING, CLICKING]

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DAVID HSU: And this
is a shorter video

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lecture introducing my class
on Cities and Climate Action.

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Or this is really kind of
an exploration, or maybe

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a rationale, perhaps, of why
you should take this class--

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MIT 11.165 for
undergraduates, or 11.477

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for graduate students.

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This video lecture is really--

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I'm going to use this as an
example of all the future video

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lectures that are to come.

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So, for example, I'm not
going to go over this slide.

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This slide has all
the readings that

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are on the syllabus for today.

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I'll generally start my
lectures with a slide like this,

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but I won't go into it because
first, all these things

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are on the syllabus.

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Second, for all the students
taking this class at MIT,

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you'll have the PDF slides
available on the Canvas site.

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So you can go to the PDF
slides and click on the links.

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You don't need to go
click on the links

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for the ones on the
syllabus because you already

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have the syllabus.

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But if I bring in other
reports or articles or sources

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or papers, I'll put those
references into the slides.

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And so if you want to
follow up on other topics,

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just go to the slide and
click on the link in the PDF.

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So why are we watching
this short video today?

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I'm going to use the
short videos in class

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to comment on or synthesize,
but not recap the readings.

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So you do have to
do the readings.

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But the point of watching
the video lecture

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is to really set
up our discussion,

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or to demonstrate something I
want to highlight or explore.

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Quite often in my
lectures, I really

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like doing a deep dive
in a particular aspect

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of the readings.

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But that might
not be necessarily

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what we want to talk
about together in class.

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So I'll highlight
things or explore things

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that I want to focus on.

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We can discuss it more in class.

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And then for the student
leaders of the discussions,

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you can highlight something you
want to explore or highlight,

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and we talk about it in class.

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What I'm hoping this is
going to allow us to do

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is to allow you to
watch or rewatch

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these videos on your own
time or at your own pace.

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And hopefully, what it's
going to allow us to do

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is to flip the classroom
and enable us to have

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richer, longer discussions.

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We have about three hours
of class time together.

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Given the number of
people in the room today,

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I'm hoping we can use all
three hours so everyone

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can feel like they're
getting something

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out of the discussions.

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And the fun thing is
sometimes the discussions

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go to different places than
we expect, or than I expect.

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And ultimately, the reason why
I'm making these short videos

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is that these videos
are going to form

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the basis of a
new digital course

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on Cities and Climate Action.

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Ultimately, I hope to make these
videos available to faculty

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or students at other
departments at other schools.

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I would argue that
actually as urban planners,

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we need to get involved
in climate change.

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But also, at the
same time, we may not

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have the faculty or staff
or student bandwidth

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to take a new course
or offer new class.

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So I'm hoping
these video courses

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will enable people to do that.

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At the same time, I think that
a lot of other disciplines,

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like engineering and
policy, could benefit

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from focusing on cities.

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Because cities, I'll argue to
you in this next few slides,

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are a key scale or
jurisdiction at which

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we can have a lot
of opportunities

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to take climate action.

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So one reading I just
want to focus in on,

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just to demonstrate how
I'm going to delve deeper

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into certain readings,
I want to introduce

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the textbook for this class.

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It's a book by David MacKay.

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He was a British physicist.

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I think he was the royal
astronomer or royal physicist

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at some point in the UK.

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He wrote this book in 2009.

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And unfortunately,
he passed away

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at a relatively
young age in 2016.

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But this book is actually
a fairly good legacy.

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It was wildly popular then.

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It's still fairly popular now,
even 13 or 14 years later.

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And it's popular for
a lot of reasons.

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It's accessible-- David MacKay
made this book free, actually.

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He put it as a PDF on the web.

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It's actually fairly funny.

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A lot of students find this
book quite entertaining.

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The evaluations of the course
always highlight this textbook.

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Students really enjoy
reading this textbook,

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so I hope you do, too.

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It actually uses a fairly
simple but powerful

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back-of-the-envelope reasoning.

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Dave MacKay almost always
starts with fairly basic

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physical principles,
looks at empirical data,

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and uses simple reasoning
or calculations or graphics

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to enable people to understand
the key issues involved.

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In the first
chapter, David MacKay

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makes the point that there's
no economics in this book.

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And we can talk about whether
or not that's good or bad.

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The one thing that has
wildly changed since 2009

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is the cost of renewable
energies and technologies,

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renewable energy technologies,
have all declined since 2009.

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That's become a huge
advantage for renewable energy

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over fossil fuel energies.

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And that's why the
energy transition

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is going to happen more and
more rapidly in our lifetimes.

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So we can discuss whether it's
good or bad that this textbook

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has no economics.

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It simply focuses on
the technological issues

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involved, rather than
the economic issues.

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Similarly, it
really doesn't focus

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on the political
or policy aspects

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of some of these technologies.

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This is perhaps before--

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well, climate change has always
been fairly polarized in the US

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in a way that it's not
polarized in other countries.

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But David MacKay makes an
effort in this book basically

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not to focus on
politics, as much

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as on the physical or
technological solutions

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we need.

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He assumes that that will
help drive the conversation,

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or help drive the
policy changes needed.

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Obviously, we haven't
had the policy changes

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we needed in the US.

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And Europe is slightly
ahead, but perhaps

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has not moved as quickly
as we'd like it to also.

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So we can discuss in
this class whether or not

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we think the kind of lack of
emphasis on politics and policy

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is also appropriate.

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But let me show you some of
the strengths of the book.

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And I'll use one
example I really like.

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I really-- let me-- before I
do that, I'll just show you

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that because it's accessible,
because he made the PDF free.

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You can download for
free on the website.

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It shows you where
to buy it in paper.

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But this is actually
a volunteer thing,

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that somebody read the
book, liked it enough.

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And because the
content was free,

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made a separate web page
for every single chapter.

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So you can access this book
through the PDF on Download.

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You can buy a hard copy.

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I'll show you a hard
copy in class today.

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Or you can simply
look at the web pages.

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Or you can do some
combination of all three

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to access the book.

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That's why it's
quite accessible.

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And it's been translated
into, it looks like,

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10 or 12 other languages.

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To show you one aspect of
the book I really like,

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I like the use of graphics
in all of David McKay's work.

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You can see this very simple
graph on the vertical axis

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is carbon dioxide concentration
in the atmosphere.

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On the horizontal axis is
time, going all the way back

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to about 1,000 AD.

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He focuses on this
little section,

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which is between 1600 and 2000.

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And his puckish
commentary in the caption

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here is, "I think
something new may have

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happened between 1800 2000 AD.

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He marks the year 1769, which
is when James Watt invented

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the steam engine.

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That's the beginning of
the Industrial Revolution

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in the UK.

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And you can say-- you can
see in the UK and countries

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like France,
Germany, and the US,

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the Industrial
Revolution begins,

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and carbon dioxide
concentrations go straight up,

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almost exponentially.

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If you look at this
graph, it's only to 2000.

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I think in 2020, we're
about 415 or 420 parts

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per million in the atmosphere.

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So we've fully exceeded--

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this growth has continued
unabated for the last 22 years.

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But if you look at how he
examines the issues, what

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I really like in a lot of
his work and this textbook

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is that he uses graphics to
illustrate different issues.

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For example, he takes world
greenhouse gas emissions

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in his numbers from
2000-- about 34 gigatons

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of CO2 equivalent per year.

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And basically says that's the
total area of greenhouse gas

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emissions.

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And if you compare that
to the population of 2000

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at six billion people with what
is seven point something now,

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or almost eight billion
people on the planet,

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that basically averages to about
five tons of CO2 equivalent

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per year per person.

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So you multiply this
axis times this axis,

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and you get this result--

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resulting area of 34 gigatons
of CO2 equivalent per year.

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But we can also look
at some of the numbers,

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and they've been updated.

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Our World in Data is a
pretty useful website

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for looking at different
sources of data.

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They use a slightly
different definition

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of annual CO2 emissions.

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They exclude land use change.

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And so in 2000, they have
about 25 billion tons

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of CO2 equivalent.

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Well, you can see what
happens is basically

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it has gone straight up
over the last 22 years

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till this slight dip from COVID.

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So if you look at their
definition in data,

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it's 25 billion tons in 2000,
almost 37 billion tons in 2019,

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until it slowly
declines with COVID.

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And what we're hoping after
COVID is that as our energy

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transition continues, we
aren't bouncing up back

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to the same upward
trajectory, which

00:09:18.820 --> 00:09:21.730 align:middle line:84%
is going to result in
more climate change.

00:09:21.730 --> 00:09:24.670 align:middle line:84%
At the same time, you can
use the original graphics.

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You can kind of drill down
into the data little bit,

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as David MacKay does, and shows
that these areas of greenhouse

00:09:31.060 --> 00:09:33.550 align:middle line:84%
gas emissions are
quite different.

00:09:33.550 --> 00:09:36.160 align:middle line:84%
Even though the total area
of greenhouse gas emissions

00:09:36.160 --> 00:09:39.040 align:middle line:84%
is what counts, if you
average over, let's say,

00:09:39.040 --> 00:09:41.950 align:middle line:84%
different populations of
people in different regions,

00:09:41.950 --> 00:09:44.980 align:middle line:84%
you can see that even if
the total area of Asia

00:09:44.980 --> 00:09:47.170 align:middle line:84%
might be slightly larger
than North America,

00:09:47.170 --> 00:09:49.315 align:middle line:84%
there's many fewer people
in North America who

00:09:49.315 --> 00:09:51.370 align:middle line:84%
are emitting much
more greenhouse gas

00:09:51.370 --> 00:09:52.960 align:middle line:90%
emissions per person.

00:09:52.960 --> 00:09:54.490 align:middle line:84%
And this is starting
to highlight

00:09:54.490 --> 00:09:57.610 align:middle line:84%
some issues perhaps of equity
across different regions

00:09:57.610 --> 00:09:58.730 align:middle line:90%
of the world.

00:09:58.730 --> 00:10:00.850 align:middle line:84%
If you look at it
by country, most

00:10:00.850 --> 00:10:03.040 align:middle line:84%
of the people in
North America are

00:10:03.040 --> 00:10:06.640 align:middle line:84%
Americans, who are all in
2000 looks like emitting about

00:10:06.640 --> 00:10:10.060 align:middle line:90%
24 tons per person per year.

00:10:10.060 --> 00:10:14.200 align:middle line:84%
Even though China has a larger
population of nearly a billion

00:10:14.200 --> 00:10:17.170 align:middle line:84%
people, those people
on average are only

00:10:17.170 --> 00:10:19.490 align:middle line:84%
emitting about four tons
per person per year.

00:10:19.490 --> 00:10:23.020 align:middle line:84%
So in 2000, by this measure, it
looks like the average American

00:10:23.020 --> 00:10:26.140 align:middle line:84%
is emitting about six times
the average Chinese person.

00:10:26.140 --> 00:10:28.360 align:middle line:84%
Having said that, the
average Chinese person

00:10:28.360 --> 00:10:31.660 align:middle line:84%
is still emitting twice as much
as the average Indian person

00:10:31.660 --> 00:10:32.450 align:middle line:90%
here.

00:10:32.450 --> 00:10:35.500 align:middle line:84%
And so the area of greenhouse
gas emissions from India

00:10:35.500 --> 00:10:39.040 align:middle line:84%
is consequently
roughly less than half

00:10:39.040 --> 00:10:42.020 align:middle line:90%
of what it is from China.

00:10:42.020 --> 00:10:44.240 align:middle line:84%
If we were to update
this for 2019,

00:10:44.240 --> 00:10:45.620 align:middle line:90%
you can see that's changed.

00:10:45.620 --> 00:10:49.740 align:middle line:84%
In this graphic, China has
become clearly the largest

00:10:49.740 --> 00:10:53.865 align:middle line:84%
greenhouse emitter in
the world, [INAUDIBLE]

00:10:53.865 --> 00:10:57.180 align:middle line:84%
even emitting twice as much
as the average Chinese person.

00:10:57.180 --> 00:10:59.350 align:middle line:84%
You can also see some
changes over time.

00:10:59.350 --> 00:11:01.680 align:middle line:84%
You can see that the
US is now emitting

00:11:01.680 --> 00:11:05.180 align:middle line:84%
it looks like around 15
tons per person per year.

00:11:05.180 --> 00:11:06.930 align:middle line:84%
They might be slightly
different measures,

00:11:06.930 --> 00:11:09.900 align:middle line:84%
but greenhouse gas emissions
have declined in the US.

00:11:09.900 --> 00:11:11.310 align:middle line:90%
They've gone up in China.

00:11:11.310 --> 00:11:13.300 align:middle line:84%
And now, China is above
the world average--

00:11:13.300 --> 00:11:15.810 align:middle line:84%
about 4.4 tons per
year per capita.

00:11:15.810 --> 00:11:19.470 align:middle line:84%
And if you look at India, India
is still well below average.

00:11:19.470 --> 00:11:22.390 align:middle line:84%
Sub-Saharan Africa
is even smaller.

00:11:22.390 --> 00:11:25.740 align:middle line:84%
And so what we're trying to
do is look at how this might

00:11:25.740 --> 00:11:28.338 align:middle line:84%
translate into national
policy, or at least

00:11:28.338 --> 00:11:30.630 align:middle line:84%
what we think the responsibility
of different countries

00:11:30.630 --> 00:11:33.120 align:middle line:90%
are to deal with climate change.

00:11:33.120 --> 00:11:36.210 align:middle line:84%
If you look at historical
greenhouse gas emissions,

00:11:36.210 --> 00:11:37.800 align:middle line:84%
if you average all
the greenhouse gas

00:11:37.800 --> 00:11:39.860 align:middle line:84%
emissions over the
last 120 years,

00:11:39.860 --> 00:11:41.700 align:middle line:84%
you see the United
States is clearly

00:11:41.700 --> 00:11:44.250 align:middle line:84%
responsible for the largest
area of greenhouse gas

00:11:44.250 --> 00:11:49.590 align:middle line:84%
emissions per person per
year over that time period.

00:11:49.590 --> 00:11:52.650 align:middle line:84%
If you look at largest total
historical or cumulative

00:11:52.650 --> 00:11:55.530 align:middle line:84%
greenhouse gas
emissions, again, the US

00:11:55.530 --> 00:11:58.950 align:middle line:84%
really unfortunately number
one here, double that of China,

00:11:58.950 --> 00:12:01.950 align:middle line:84%
and looks like triple
that of Russia.

00:12:01.950 --> 00:12:04.920 align:middle line:84%
Having said that,
this will change over

00:12:04.920 --> 00:12:08.010 align:middle line:90%
time as annual emissions change.

00:12:08.010 --> 00:12:13.560 align:middle line:84%
But what we're basically seeing
here is the US is the largest--

00:12:13.560 --> 00:12:16.830 align:middle line:84%
has the largest responsibility
for total historical greenhouse

00:12:16.830 --> 00:12:20.373 align:middle line:84%
gas emissions over
the last 170 years.

00:12:20.373 --> 00:12:22.290 align:middle line:84%
And what are we doing
in this kind of reading?

00:12:22.290 --> 00:12:25.103 align:middle line:84%
I'm only digging down
into this particular issue

00:12:25.103 --> 00:12:26.520 align:middle line:84%
because I want to
highlight what I

00:12:26.520 --> 00:12:28.620 align:middle line:84%
want to try to do in this
class, which is first,

00:12:28.620 --> 00:12:30.690 align:middle line:84%
develop your basic
numerical literacy.

00:12:30.690 --> 00:12:33.540 align:middle line:84%
In this case, we're looking
at greenhouse gas emissions

00:12:33.540 --> 00:12:36.030 align:middle line:90%
per capita over time.

00:12:36.030 --> 00:12:40.950 align:middle line:84%
I want to understand broad
issues, like equity or climate

00:12:40.950 --> 00:12:43.980 align:middle line:84%
action, which countries are
responsible for climate action,

00:12:43.980 --> 00:12:45.870 align:middle line:90%
by taking specific deep dives.

00:12:45.870 --> 00:12:48.210 align:middle line:84%
So we looked a little bit
at different data sources

00:12:48.210 --> 00:12:50.760 align:middle line:84%
and different trends over
time, or different ways

00:12:50.760 --> 00:12:52.675 align:middle line:90%
to analyze the data.

00:12:52.675 --> 00:12:54.300 align:middle line:84%
And ultimately, what
we're trying to do

00:12:54.300 --> 00:12:56.970 align:middle line:84%
is build a moral case
for climate action.

00:12:56.970 --> 00:13:00.870 align:middle line:84%
I take a US focus in the US
because the US is the largest

00:13:00.870 --> 00:13:03.060 align:middle line:84%
historical emitter of
greenhouse gas emissions,

00:13:03.060 --> 00:13:07.710 align:middle line:84%
and still on a per capita basis
one of the highest emissions

00:13:07.710 --> 00:13:09.220 align:middle line:90%
emitting countries in the world.

00:13:09.220 --> 00:13:11.070 align:middle line:84%
So I would argue
that actually leads

00:13:11.070 --> 00:13:13.470 align:middle line:84%
to a moral case or a
moral responsibility

00:13:13.470 --> 00:13:16.890 align:middle line:84%
for us to take more climate
action than other countries.

00:13:16.890 --> 00:13:19.650 align:middle line:84%
If you look at
countries like India

00:13:19.650 --> 00:13:21.840 align:middle line:84%
or regions like
sub-Saharan Africa,

00:13:21.840 --> 00:13:24.060 align:middle line:84%
they are well below
the global average.

00:13:24.060 --> 00:13:26.520 align:middle line:84%
For them to develop
or to even achieve

00:13:26.520 --> 00:13:28.230 align:middle line:84%
a standard of
living like our own,

00:13:28.230 --> 00:13:30.240 align:middle line:84%
they really have
nowhere to go but up,

00:13:30.240 --> 00:13:33.120 align:middle line:84%
in terms of their
greenhouse gas emissions.

00:13:33.120 --> 00:13:36.030 align:middle line:84%
Honestly, if we want to
achieve decarbonization,

00:13:36.030 --> 00:13:39.120 align:middle line:84%
the US and other rich countries
have nowhere to go but down.

00:13:39.120 --> 00:13:41.700 align:middle line:84%
And that is the crux of
our energy transition

00:13:41.700 --> 00:13:43.720 align:middle line:90%
challenge going forward.

00:13:43.720 --> 00:13:47.460 align:middle line:84%
And so let's talk about
why we focus on cities.

00:13:47.460 --> 00:13:48.720 align:middle line:90%
Quite often at MIT--

00:13:48.720 --> 00:13:52.890 align:middle line:84%
this is courtesy of my terrible,
terrible PowerPoint skills.

00:13:52.890 --> 00:13:55.560 align:middle line:84%
But if you-- what we talk
about at MIT quite often

00:13:55.560 --> 00:13:58.260 align:middle line:84%
is technology,
policy, and markets.

00:13:58.260 --> 00:14:00.420 align:middle line:84%
We talk about developing
new technologies

00:14:00.420 --> 00:14:03.510 align:middle line:84%
through our science and
engineering research.

00:14:03.510 --> 00:14:07.770 align:middle line:84%
We talk about trying to pass
new policies through advocacy,

00:14:07.770 --> 00:14:10.320 align:middle line:84%
or also based on our
social science research.

00:14:10.320 --> 00:14:12.270 align:middle line:84%
And we often talk
about developing

00:14:12.270 --> 00:14:16.530 align:middle line:84%
new markets for technologies
through, let's say,

00:14:16.530 --> 00:14:21.120 align:middle line:84%
commercialization or innovation
or creating new technologies.

00:14:21.120 --> 00:14:23.130 align:middle line:84%
But I would argue
with you that cities

00:14:23.130 --> 00:14:25.870 align:middle line:84%
have a role at the
intersection of all of these.

00:14:25.870 --> 00:14:30.120 align:middle line:84%
And as a scale, is this--
is a underappreciated scale,

00:14:30.120 --> 00:14:32.880 align:middle line:84%
or an opportunity for us
to try to affect all three

00:14:32.880 --> 00:14:34.050 align:middle line:90%
of these areas.

00:14:34.050 --> 00:14:37.170 align:middle line:84%
We know that technologies
can be developed

00:14:37.170 --> 00:14:41.880 align:middle line:84%
for certain situations
or certain combinations

00:14:41.880 --> 00:14:42.408 align:middle line:90%
of problems.

00:14:42.408 --> 00:14:44.700 align:middle line:84%
Different cities are going
to have different adaptation

00:14:44.700 --> 00:14:48.000 align:middle line:84%
and mitigation needs that
need to be met by technology.

00:14:48.000 --> 00:14:50.700 align:middle line:84%
Cities are large enough
to pass their own policies

00:14:50.700 --> 00:14:53.790 align:middle line:84%
that can help shape the
adoption of technology

00:14:53.790 --> 00:14:57.840 align:middle line:84%
and how the markets develop
in that particular region.

00:14:57.840 --> 00:15:00.750 align:middle line:84%
And cities are large enough
themselves to constitute

00:15:00.750 --> 00:15:02.790 align:middle line:90%
a market for new technologies.

00:15:02.790 --> 00:15:07.480 align:middle line:84%
Cities are responsible for
most of the GDP in the world.

00:15:07.480 --> 00:15:10.710 align:middle line:84%
And so we have the
ability at the local level

00:15:10.710 --> 00:15:12.720 align:middle line:84%
to shape technology
and policy also.

00:15:12.720 --> 00:15:15.740 align:middle line:84%
So the intersection of
technology policy markets

00:15:15.740 --> 00:15:18.180 align:middle line:84%
in this Venn diagram,
I would argue to you

00:15:18.180 --> 00:15:22.510 align:middle line:84%
that cities are a key
venue for climate action.

00:15:22.510 --> 00:15:25.390 align:middle line:84%
Another reason, quite simply,
why we should look at cities

00:15:25.390 --> 00:15:26.860 align:middle line:84%
is that's where
all the people are.

00:15:26.860 --> 00:15:29.290 align:middle line:84%
This is the graph
of the percentage

00:15:29.290 --> 00:15:31.720 align:middle line:84%
of urban and rural
population as a proportion

00:15:31.720 --> 00:15:35.110 align:middle line:84%
of the total population from
the UN World Urbanization

00:15:35.110 --> 00:15:35.920 align:middle line:90%
Prospects.

00:15:35.920 --> 00:15:39.010 align:middle line:84%
You can see, then, every
region in the world,

00:15:39.010 --> 00:15:41.050 align:middle line:84%
if the blue is the
rural population

00:15:41.050 --> 00:15:44.380 align:middle line:84%
and red is the urban population,
every region in the world--

00:15:44.380 --> 00:15:46.840 align:middle line:90%
Africa, Asia, and Europe--

00:15:46.840 --> 00:15:50.500 align:middle line:84%
Europe is already quite
urbanized at 75% now,

00:15:50.500 --> 00:15:52.360 align:middle line:84%
but will become
even more urbanized

00:15:52.360 --> 00:15:55.330 align:middle line:84%
by 2050, which is our
mid-century target

00:15:55.330 --> 00:15:57.070 align:middle line:90%
for decarbonization.

00:15:57.070 --> 00:15:59.320 align:middle line:90%
Asia is right at 50%--

00:15:59.320 --> 00:16:01.370 align:middle line:84%
half and half between
urban and rural population,

00:16:01.370 --> 00:16:04.660 align:middle line:84%
but will become even more
urban over the next 20 years.

00:16:04.660 --> 00:16:06.040 align:middle line:84%
There will be
mostly urbanization

00:16:06.040 --> 00:16:09.100 align:middle line:84%
happening in Southeast
Asia or India.

00:16:09.100 --> 00:16:12.820 align:middle line:84%
And Africa is 42%
urbanized, but by 2050,

00:16:12.820 --> 00:16:14.645 align:middle line:84%
is going to be
about 60% urbanized.

00:16:14.645 --> 00:16:16.270 align:middle line:84%
That's mostly
urbanization that's going

00:16:16.270 --> 00:16:19.210 align:middle line:90%
to occur in sub-Saharan Africa.

00:16:19.210 --> 00:16:21.160 align:middle line:84%
If you look at the Latin
American Caribbean,

00:16:21.160 --> 00:16:25.720 align:middle line:84%
already amazingly urbanized
at 81%; North America at 82%.

00:16:25.720 --> 00:16:28.960 align:middle line:84%
But both regions will be
probably pushing 85% or 90%

00:16:28.960 --> 00:16:30.730 align:middle line:90%
urbanized by 2050.

00:16:30.730 --> 00:16:35.410 align:middle line:84%
And Oceania, which is Australia
and New Zealand and the Pacific

00:16:35.410 --> 00:16:38.620 align:middle line:84%
Islands, will probably stay
roughly as urbanized as it is,

00:16:38.620 --> 00:16:41.170 align:middle line:90%
which is already 68%.

00:16:41.170 --> 00:16:43.260 align:middle line:84%
So the argument for
focusing on cities

00:16:43.260 --> 00:16:45.010 align:middle line:84%
is simply that's where
all the people are.

00:16:45.010 --> 00:16:46.810 align:middle line:84%
That's where all the
economic activity is.

00:16:46.810 --> 00:16:48.352 align:middle line:84%
That's what we should
focus on to try

00:16:48.352 --> 00:16:50.836 align:middle line:90%
to reduce our consumption.

00:16:50.836 --> 00:16:53.560 align:middle line:84%
But we're going to focus
on us studies in the class,

00:16:53.560 --> 00:16:55.330 align:middle line:84%
partly simply because
we're teaching

00:16:55.330 --> 00:16:56.920 align:middle line:90%
in an American institution.

00:16:56.920 --> 00:16:59.050 align:middle line:84%
Also, we've had recent
climate developments,

00:16:59.050 --> 00:17:00.880 align:middle line:90%
which are quite exciting to me.

00:17:00.880 --> 00:17:03.615 align:middle line:84%
Here's an article by
Miriam Wasser of WBUR,

00:17:03.615 --> 00:17:05.240 align:middle line:84%
just simply saying
what we need to know

00:17:05.240 --> 00:17:07.359 align:middle line:84%
about the new
Massachusetts climate law.

00:17:07.359 --> 00:17:11.240 align:middle line:84%
That's going to affect our
state energy policy quite a bit.

00:17:11.240 --> 00:17:14.697 align:middle line:84%
This is a blog post from Amy
Turner at Columbia University,

00:17:14.697 --> 00:17:17.030 align:middle line:84%
focusing on how cities will
be affected by the Inflation

00:17:17.030 --> 00:17:20.230 align:middle line:84%
Reduction Act, which is
our first major piece

00:17:20.230 --> 00:17:22.690 align:middle line:84%
of climate legislation
ever passed by climate--

00:17:22.690 --> 00:17:25.450 align:middle line:84%
by Congress ever
since Congress learned

00:17:25.450 --> 00:17:26.950 align:middle line:84%
about climate change
and the problem

00:17:26.950 --> 00:17:30.000 align:middle line:90%
for the first time 30 years ago.

00:17:30.000 --> 00:17:31.945 align:middle line:84%
And so I welcome
insights and comparisons

00:17:31.945 --> 00:17:32.820 align:middle line:90%
with other countries.

00:17:32.820 --> 00:17:34.695 align:middle line:84%
I've done work in a
number of other countries

00:17:34.695 --> 00:17:37.120 align:middle line:90%
on energy and energy transition.

00:17:37.120 --> 00:17:39.930 align:middle line:84%
But we're going to focus mostly
in this class on US cities,

00:17:39.930 --> 00:17:42.510 align:middle line:84%
simply because we have
the moral responsibility

00:17:42.510 --> 00:17:44.160 align:middle line:90%
to take climate action.

00:17:44.160 --> 00:17:46.420 align:middle line:84%
And also, because we're
studying in a US institution.

00:17:46.420 --> 00:17:48.750 align:middle line:84%
But, again, I welcome your
insights and comparisons

00:17:48.750 --> 00:17:49.830 align:middle line:90%
with other countries.

00:17:49.830 --> 00:17:52.770 align:middle line:84%
I'll try to bring in
comparisons with other places

00:17:52.770 --> 00:17:55.410 align:middle line:84%
I've worked or other
regions as appropriate,

00:17:55.410 --> 00:17:58.950 align:middle line:84%
to try to illustrate some of
these energy and climate issues

00:17:58.950 --> 00:18:01.562 align:middle line:84%
and how they work in other
cities around the world.

00:18:01.562 --> 00:18:03.270 align:middle line:84%
And I also want to
highlight that there's

00:18:03.270 --> 00:18:05.778 align:middle line:84%
nothing in this class
really should be off limits.

00:18:05.778 --> 00:18:08.070 align:middle line:84%
And I just want to emphasize
that different people will

00:18:08.070 --> 00:18:10.470 align:middle line:84%
get different value
from different readings.

00:18:10.470 --> 00:18:13.770 align:middle line:84%
For some people, Bill Gates
was a ruthless monopolist

00:18:13.770 --> 00:18:17.430 align:middle line:84%
in '90s, a successful
philanthropist in the aughts,

00:18:17.430 --> 00:18:20.940 align:middle line:84%
and the, let's say, early
teens of the century.

00:18:20.940 --> 00:18:22.530 align:middle line:84%
And you might have
heard most recently

00:18:22.530 --> 00:18:24.330 align:middle line:84%
he had a terrible,
terrible divorce,

00:18:24.330 --> 00:18:26.910 align:middle line:84%
and maybe his reputation is
somewhat damaged by that.

00:18:26.910 --> 00:18:28.950 align:middle line:84%
But he's also known
as somebody who's

00:18:28.950 --> 00:18:32.940 align:middle line:84%
worked on child mortality and
disease and climate change

00:18:32.940 --> 00:18:33.820 align:middle line:90%
and pandemics.

00:18:33.820 --> 00:18:37.560 align:middle line:84%
So he wrote an article in
2018 about "Climate Change

00:18:37.560 --> 00:18:40.260 align:middle line:84%
and the 75% Problem,"
arguing that we

00:18:40.260 --> 00:18:42.960 align:middle line:84%
need new technologies
and innovation to solve

00:18:42.960 --> 00:18:45.450 align:middle line:84%
large parts of climate
change that we don't already

00:18:45.450 --> 00:18:47.400 align:middle line:90%
know how to solve.

00:18:47.400 --> 00:18:50.190 align:middle line:84%
At the same time,
we have this article

00:18:50.190 --> 00:18:52.200 align:middle line:84%
by Nikayla Jefferson
and Leah Stokes,

00:18:52.200 --> 00:18:55.140 align:middle line:84%
who's one of our graduates
from DUSP at MIT.

00:18:55.140 --> 00:18:58.500 align:middle line:84%
And it's titled "Our Racist
Fossil Fuel Energy System."

00:18:58.500 --> 00:19:01.200 align:middle line:84%
And I actually think it gives
a number of good arguments

00:19:01.200 --> 00:19:04.410 align:middle line:84%
why the fossil fuel energy
system disproportionately

00:19:04.410 --> 00:19:05.862 align:middle line:90%
affects Black Americans.

00:19:05.862 --> 00:19:07.320 align:middle line:84%
This is an article
that was written

00:19:07.320 --> 00:19:10.290 align:middle line:84%
in July of 2020 right at the
height of the Black Lives

00:19:10.290 --> 00:19:11.760 align:middle line:90%
Matter protests.

00:19:11.760 --> 00:19:15.330 align:middle line:84%
And it highlighted basically
how the energy system

00:19:15.330 --> 00:19:18.120 align:middle line:84%
affects different groups,
especially Black Americans

00:19:18.120 --> 00:19:18.990 align:middle line:90%
differently.

00:19:18.990 --> 00:19:21.360 align:middle line:84%
Having said that, people
had very different reactions

00:19:21.360 --> 00:19:22.040 align:middle line:90%
to this article.

00:19:22.040 --> 00:19:25.680 align:middle line:84%
I had one student who came
from the fossil fuel industry,

00:19:25.680 --> 00:19:28.890 align:middle line:84%
and she was quite offended
by this article that she

00:19:28.890 --> 00:19:31.290 align:middle line:84%
called "Our Racist Fossil
Fuel Industry," which

00:19:31.290 --> 00:19:34.230 align:middle line:84%
wasn't actually the title of
the article, but just shows you

00:19:34.230 --> 00:19:36.090 align:middle line:90%
how this label--

00:19:36.090 --> 00:19:38.670 align:middle line:84%
of labeling the energy
system as racist,

00:19:38.670 --> 00:19:40.632 align:middle line:90%
she took quite personally.

00:19:40.632 --> 00:19:42.090 align:middle line:84%
And so I want to
emphasize that you

00:19:42.090 --> 00:19:45.645 align:middle line:84%
can look at both the articles by
Bill Gates or Jefferson-Stokes,

00:19:45.645 --> 00:19:47.520 align:middle line:84%
and you can have different
reactions to them.

00:19:47.520 --> 00:19:49.350 align:middle line:84%
But what I want us
to do is try to read

00:19:49.350 --> 00:19:52.050 align:middle line:84%
lots of different viewpoints
and engage with them

00:19:52.050 --> 00:19:55.680 align:middle line:84%
and think through what we agree
with, what we don't agree with,

00:19:55.680 --> 00:19:57.630 align:middle line:84%
and use that to shape
our own viewpoints.

00:19:57.630 --> 00:19:59.887 align:middle line:84%
And this is just to
emphasize that the point

00:19:59.887 --> 00:20:02.220 align:middle line:84%
of your education with is to
develop your own critically

00:20:02.220 --> 00:20:03.570 align:middle line:90%
reasoned viewpoint.

00:20:03.570 --> 00:20:05.910 align:middle line:84%
But to develop your own
critically reasoned viewpoint,

00:20:05.910 --> 00:20:07.500 align:middle line:84%
you have to engage
with evidence.

00:20:07.500 --> 00:20:09.390 align:middle line:84%
You have to engage other
people's viewpoints.

00:20:09.390 --> 00:20:11.098 align:middle line:84%
And you have to engage
with other people.

00:20:11.098 --> 00:20:13.410 align:middle line:84%
So we're going to
try to have nothing

00:20:13.410 --> 00:20:18.480 align:middle line:84%
to be off limits this class,
even as we try to engage things

00:20:18.480 --> 00:20:22.320 align:middle line:84%
rationally and respectfully,
respectful of other people's

00:20:22.320 --> 00:20:25.410 align:middle line:84%
viewpoints, I want us to try to
keep on working on developing

00:20:25.410 --> 00:20:29.310 align:middle line:84%
our own critical reasoning,
and trying to contrast how

00:20:29.310 --> 00:20:32.190 align:middle line:84%
other people see some
of the same issues,

00:20:32.190 --> 00:20:34.273 align:middle line:84%
even if we don't
agree with them.

00:20:34.273 --> 00:20:35.940 align:middle line:84%
And so in our class,
I want to emphasize

00:20:35.940 --> 00:20:40.500 align:middle line:84%
that we're going to learn,
question, and reason together.

00:20:40.500 --> 00:20:43.670 align:middle line:84%
Finally, I wrote this
article this summer

00:20:43.670 --> 00:20:46.950 align:middle line:84%
with a number of colleagues
around the planning discipline,

00:20:46.950 --> 00:20:49.850 align:middle line:84%
including Chris Zegras,
who's here at MIT.

00:20:49.850 --> 00:20:52.070 align:middle line:84%
The article is titled
"Planning the Built Environment

00:20:52.070 --> 00:20:54.560 align:middle line:84%
and Land Use Towards Deep
Decarbonization of the United

00:20:54.560 --> 00:20:55.640 align:middle line:90%
States."

00:20:55.640 --> 00:20:57.710 align:middle line:84%
And I wrote this article
with my colleagues

00:20:57.710 --> 00:21:01.790 align:middle line:84%
because we argue that deep
decarbonization is basically

00:21:01.790 --> 00:21:04.130 align:middle line:90%
our net zero goal for 2050.

00:21:04.130 --> 00:21:06.590 align:middle line:84%
At the same time, we
don't think that there's

00:21:06.590 --> 00:21:09.740 align:middle line:84%
wide understanding of what
we need to do to the built

00:21:09.740 --> 00:21:10.940 align:middle line:90%
environment land use.

00:21:10.940 --> 00:21:14.240 align:middle line:84%
And this is to say two things,
that the built environment land

00:21:14.240 --> 00:21:17.600 align:middle line:84%
use are going to be critical to
realizing our energy transition

00:21:17.600 --> 00:21:18.980 align:middle line:90%
goals.

00:21:18.980 --> 00:21:21.830 align:middle line:84%
At the same time, if we don't
address the built environment

00:21:21.830 --> 00:21:24.230 align:middle line:84%
on land use, we may
not reach those goals.

00:21:24.230 --> 00:21:26.060 align:middle line:84%
And we think that
decarbonization

00:21:26.060 --> 00:21:28.550 align:middle line:84%
has implications for cities
and the planning in terms

00:21:28.550 --> 00:21:32.900 align:middle line:84%
of the scale of how we plan
cities, the scope of what

00:21:32.900 --> 00:21:36.960 align:middle line:84%
planners look at, the speed
with which planning occurs.

00:21:36.960 --> 00:21:40.040 align:middle line:84%
We need to achieve a
decarbonization goal, which

00:21:40.040 --> 00:21:41.690 align:middle line:84%
is basically changing
our entire energy

00:21:41.690 --> 00:21:43.670 align:middle line:90%
system 28 years from now.

00:21:43.670 --> 00:21:46.865 align:middle line:84%
That's going to require
planners to operate much faster.

00:21:46.865 --> 00:21:50.180 align:middle line:84%
And we need to make sure
that we remain relevant.

00:21:50.180 --> 00:21:53.780 align:middle line:84%
If planners don't focus on
mitigating greenhouse gas

00:21:53.780 --> 00:21:57.680 align:middle line:84%
emissions, we will be left out
of larger climate discussions

00:21:57.680 --> 00:22:00.840 align:middle line:84%
happening in other
disciplines or in government,

00:22:00.840 --> 00:22:04.070 align:middle line:84%
which is much more focused on
mitigation than adaptation.

00:22:04.070 --> 00:22:06.675 align:middle line:84%
But planners have traditionally
focused on adaptation.

00:22:06.675 --> 00:22:08.870 align:middle line:84%
And finally, there's
an open question

00:22:08.870 --> 00:22:12.620 align:middle line:84%
of what the role of land use and
built environment planning is.

00:22:12.620 --> 00:22:15.440 align:middle line:84%
We know there's lots
of different ways

00:22:15.440 --> 00:22:17.240 align:middle line:84%
that we can affect
decarbonization.

00:22:17.240 --> 00:22:19.610 align:middle line:84%
This is what this
article argues.

00:22:19.610 --> 00:22:21.350 align:middle line:84%
Having said that,
that means planners

00:22:21.350 --> 00:22:24.350 align:middle line:84%
have to reconceptualize our
role in planning cities,

00:22:24.350 --> 00:22:26.190 align:middle line:84%
and cities and
their energy system.

00:22:26.190 --> 00:22:27.840 align:middle line:84%
So I hope you
enjoyed this lecture.

00:22:27.840 --> 00:22:29.510 align:middle line:84%
I hope you take this
class, or I hope

00:22:29.510 --> 00:22:31.910 align:middle line:84%
you watch the
subsequent videos on why

00:22:31.910 --> 00:22:36.820 align:middle line:84%
cities are a key venue
for future climate action.

00:22:36.820 --> 00:22:46.000 align:middle line:90%