Difference between revisions of "City-level climate policy model"

From Testiwiki
Jump to: navigation, search
(first draft)
 
(Formula)
Line 70: Line 70:
  
 
=== Formula ===
 
=== Formula ===
 +
 +
<rcode
 +
graphics="1"
 +
>
 +
library(OpasnetUtils)
 +
library(xtable)
 +
library(ggplot2)
 +
 +
issues <- tidy(op_baseGetData("opasnet_base", "Op_enXXXX"), objname = "issues")
 +
equations <- tidy(op_baseGetData("opasnet_base", "Op_enXXXX"), objname = "equations")
 +
 +
Policy.targets <- new("ovariable", name = "Policy.targets", data = issues[issues$Table == "Policy targets" , ], dependencies = equations[])
 +
Actions on
 +
Primary impacts on
 +
End uses of energy
 +
Emissions
 +
Time budgets
 +
Exposures
 +
Policy outcomes
 +
</rcode>
  
 
==See also==
 
==See also==

Revision as of 19:32, 12 September 2012



Scope

Question

Boundaries

Scenarios

Intended users

Participants

Answer

Error creating thumbnail: Unable to save thumbnail to destination
Add a legend for your diagram.

Rationale

Dependencies

This is a generic table format and assessment structure for most inputs of the model. This is based on File:UrgencheConceptualModel.xlsx

These are the tables sharing the same structure below:

  • Policy targets
  • Actions on
  • Primary impacts on
  • End uses of energy
  • Emissions
  • Time budgets
  • Exposures
  • Policy outcomes

This table is a part of Policy targets:

Difference between revisions of "City-level climate policy model"(-)
ObsTopicIssueUnitResultDescription
1Urban areaUrban densitym2/km2floor space
2Urban areaUrban plan/zoning
3Urban areaStreet networklane-km(/km2)
4Urban areaRail networkrail-km(/km2)
5Urban areaWalk/bike networkkm(/km2)
6TransportLocal person transporttotal person-km/a
7Transport(intercity personal transport)
8TransportLocal transport of goods
9Transport(long range goods transport)
10Transport(street) transport electrification% person-km
11Etc

The connections between items is created using this kind of a table (here a wiki table format is used, but actually it should be a data table). Proximity to work and school is used as an example. All causal dependencies are interpreted in the following way, where each equation defines one child:

Failed to parse (Missing <code>texvc</code> executable. Please see math/README to configure.): Child = \Sigma Parent_i * Coefficient_i

Dependencies of issues
Equation Table Topic Issue Role Coefficient Description
1 Impacts on Urban environment functionality Proximity to work and school Child
1 Actions on Urban development Population density Parent 1
1 Actions on Urban development Land use efficiency Parent 2.2
1 Policy target Urban area Urban plan/zoning Parent 3.6


Formula

+ Show code

See also

Keywords

References


Related files

<mfanonymousfilelist></mfanonymousfilelist>