Climate change policies in Helsinki

From Opasnet
Jump to navigation Jump to search



Scope

----#: . All: Suggest good scoping for the assessment. You may also consult people in Helsinki. You may also borrow ideas you have used in Homework4. This will be decided soon after Easter. --Jouni (talk) 21:04, 25 March 2015 (UTC) (type: truth; paradigms: science: comment)

Question

Intended use and users

A problem in the climate policy practices in the City of Helsinki is that there is not enough information about different costs and impacts of different climate change mitigation measures, especially in the long term. This is slowing down the decision-making process. The results of this course will be used at the City of Helsinki Environment Centre to assess the outcomes of different ways to reduce GHG emissions. The results will help in identifying the most favourable ways to cut GHG emissions.

Participants

----#: . In case of energy consumption, detached houses, industrial and health sector have the highest amount of energy use. Fist it would be good to find a better and more efficient ways of energy consumption for them. --Mohammad Shahidehnia (talk) 08:33, 9 April 2015 (UTC) (type: truth; paradigms: science: comment)

Boundaries

Decisions and scenarios

Timing

Answer

Results

Conclusions

Rationale

File:Causal diagram of climate change policies in Helsinki.PNG
Causal diagram of climate change policies in Helsinki.

Stakeholders

Dependencies

Tasks given 15.4.2015 about Building stock in Helsinki. Please put the name of file, reference, or other source of your information to the column Description in each table, or under the table if the description is long.

  • Tables 1 and 2: Paula and Mohammad
  • Table 3: Sonja and Panayoitis and Anna
  • Tables 4 and 5: Anni, Mari, and Michael
  • Table 6: Aishat, Evans and Badejo
  • Tables 7-8: not done

The main data source are these two files. I recommend that all groups go through the whole material although not everything is relevant for all groups.

TASKS FOR THE DARM COURSE PARTICIPANTS:

Analyses

Indices

The data will be classified according to these indices:

  • Building: Residential, Public, Industrial, Other. For separating different use purposes of buildings.
  • Constructed: Years of construction of the buildings in the format 1990-1999, 2000-2009, 2010-2013.
  • Heating: District, Electricity, Geothermal, Oil, Wood,

The results of each ovariable will be measuring these things:

  • buildings: total floor area in m2.

Calculations

See also

Other variables and pages to look at

Possibly useful variables

Almost empty pages that should be removed

Keywords

References


Related files