Menu

Search

  |   Technology

Menu

  |   Technology

Search

Four ways our cities can cut transport emissions in a hurry: avoid, shift, share and improve

0
comments

The UN Intergovernmental Panel on Climate Change recently warned that global warming could reach 1.5℃ as early as 2030. The landmark report by leading scientists urged nations to do more to avert an impending crisis.

We have 12 years, the report said, to contain greenhouse gas emissions. This includes serious efforts to reduce transport emissions.

In Australia, transport is the third-largest source of greenhouse gases, accounting for around 17% of emissions. Passenger cars account for around half of our transport emissions.

The transport sector is also one of the strongest factors in emissions growth in Australia. Emissions from transport have increased nearly 60% since 1990more than any other sector. Australia is ranked 20th out of 25 of the largest energy-using countries for transport energy efficiency.

Cities around the world have many opportunities to reduce emissions. But this requires renewed thinking and real commitment to change.

Our planet can’t survive our old transport habits

Past (and still current) practices in urban and transport planning are fundamental causes of the transport problems we face today.

Over the past half-century, cities worldwide have grown rapidly, leading to urban sprawl. The result was high demand for motorised transport and, in turn, increased emissions.

The traffic gridlock on roads and motorways was the catalyst for most transport policy responses during that period. The solution prescribed for most cities was to build out of congestion by providing more infrastructure for private vehicles. Limited attention was given to managing travel demand or improving other modes of transport.

Equating mobility with building more roads nurtured a tendency towards increased motorisation, reinforcing an ever-increasing inclination to expand the road network. The result was a range of unintended adverse environmental, social and economic consequences. Most of these are rooted in the high priority given to private vehicles.

What are the opportunities to change?

The various strategies to move our cities in the right direction can be grouped into four broad categories: avoid, shift, share, and improve. Major policy, behaviour and technology changes are required to make these strategies work.

Avoid strategies aim to slow the growth of travel. They include initiatives to reduce trip lengths, such as high-density and mixed land use developments. Other options decrease private vehicle travel – for example, through car/ride sharing and congestion pricing. And teleworking and e-commerce help people avoid private car trips altogether.

Shanghai’s Hongqiao transport hub is a unique example of an integrated air, rail and mixed land use development. It combines Hongqiao’s airport, metro subway lines, and regional high-speed rail. A low-carbon residential and commercial precinct surrounds the hub.

Layout of Shanghai Hongqiao integrated transport hub. Peng & Shen (2016)/Researchgate, CC BY

Shift strategies encourage travellers to switch from private vehicles to public transport, walking and cycling. This includes improving bus routes and service frequency.

Pricing strategies that discourage private vehicles and encourage other modes of transport can also be effective. Policies that include incentives that make electric vehicles more affordable have been shown to encourage the shift.

Norway is an undisputed world leader in electric vehicle uptake. Nearly a third of all new cars sold in 2017 were a plug-in model. The electric vehicle market share was expected to be as much as 40% within a year.

An electric vehicle charging station in the Norwegian capital Oslo. Softulka/Shutterstock

Share strategies affect car ownership. New sharing economy businesses are already moving people, goods and services. Shared mobility, rather than car ownership, is providing city dwellers with a real alternative.

This trend is likely to continue and will pose significant challenges to car ownership models.

Uber claims that its carpooling service in Mumbai saved 936,000 litres of fuel and reduced greenhouse gas emissions by 2,662 metric tonnes within one year. It also reports that UberPool in London achieved a reduction of more than 1.1 million driving kilometres in just six months.

UberPool is available in inner Melbourne suburbs. Trip must begin and end in this area. Uber

Improve strategies promote the use of technologies to optimise performance of transport modes and intelligent infrastructure. These include intelligent transport systems, urban information technologies and emerging solutions such as autonomous mobility.

Our research shows that sharing 80% of autonomous vehicles will reduce net emissions by up to 20%. The benefits increase with wider adoption of autonomous shared electric vehicles.

The urgency and benefits of steering our cities towards a path of low-carbon mobility are unmistakable. This was recognised in the past but progress has been slow. Today, the changing context for how we build future cities – smart, healthy and low-carbon – presents new opportunities.

If well planned and implemented, these four interventions will collectively achieve transport emission reduction targets. They will also improve access to the jobs and opportunities that are preconditions for sound economic development in cities around the world.

  • ET PRO
  • Market Data

Market-moving news and views, 24 hours a day >

July 2 15:00 UTC Released

DKCurrency Reserves

Actual

449.6 Stale

Forecast

Previous

451.7 Stale

July 2 13:45 UTC Released

USISM NY Biz Conditions

Actual

50 %

Forecast

Previous

48.6 %

January 31 00:00 UTC 775983775983m

ARAnnual Primary Balance*

Actual

Forecast

2016 bln ARS

Previous

Bln AR bln ARS

January 31 00:00 UTC 775983775983m

ARAnnual Primary Balance*

Actual

Forecast

2016 bln ARS

Previous

Bln AR bln ARS

January 22 19:00 UTC 787803787803m

ARTrade Balance

Actual

Forecast

Previous

-1541 %

January 31 00:00 UTC 775983775983m

ARAnnual Primary Balance*

Actual

Forecast

2016 bln ARS

Previous

Bln AR bln ARS

January 22 19:00 UTC 787803787803m

ARTrade Balance

Actual

Forecast

Previous

-1541 %

January 31 00:00 UTC 775983775983m

ARAnnual Primary Balance*

Actual

Forecast

2016 bln ARS

Previous

Bln AR bln ARS

January 31 00:00 UTC 775983775983m

ARAnnual Primary Balance*

Actual

Forecast

2016 bln ARS

Previous

Bln AR bln ARS

January 31 00:00 UTC 775983775983m

ARAnnual Primary Balance*

Actual

Forecast

2016 bln ARS

Previous

Bln AR bln ARS

Close

Welcome to EconoTimes

Sign up for daily updates for the most important
stories unfolding in the global economy.