City-level climate policy model

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Answer

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

We need too tables, one with all issues listed (with estimates where there is direct data), and another for equations that connect issues. The assessment has seven steps:

• Policy target
• Action on
• Primary impact on
• End use of energy
• Emission
• Time budget
• Exposure
• Policy outcome

This table contains the issues:

You have error(s) in your data:

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You have invalid number of data cells in row 137

City-level climate policy model(-)

Obs	Step	Topic	Issue	Unit	Result	Description
1	Policy target	Urban area	Urban density	m2/km2		floor space
2	Policy target	Urban area	Urban plan/zoning
3	Policy target	Urban area	Street network	lane-km(/km2)
4	Policy target	Urban area	Rail network	rail-km(/km2)
5	Policy target	Urban area	Walk/bike network	km(/km2)
6	Policy target	Transport	Local person transport	total person-km/a
7	Policy target	Transport	(intercity personal transport)
8	Policy target	Transport	Local transport of goods
9	Policy target	Transport	(long range goods transport)
10	Policy target	Transport	(street) transport electrification	% person-km
11	Policy target	Buildings (incl activities in)	Residental small houses	#buildings, m3		tot m3
12	Policy target	Buildings (incl activities in)	Residental appartment buildings	#residences, m3		tot m3
13	Policy target	Buildings (incl activities in)	Commercial (incl office) buildings	#buildings, m3		tot m3
14	Policy target	Buildings (incl activities in)	Recreational/cultural buildings	#buildings, m3		tot m3
15	Policy target	Buildings (incl activities in)	Educational buildings	#buildings, m3		tot m3
16	Policy target	Buildings (incl activities in)	Healthcare/institutional buildings	#buildings, m3		tot m3
17	Policy target	Buildings (incl activities in)	Other (incl. Industrial) buildings)	#buildings, m3		tot m3
18	Action on	Urban develompent	population density	#/km2		population based distribution
19	Action on	Urban develompent	land use efficiency	m2/km2		floor space areal distribution
20	Action on	Urban develompent	pedestrian zones	% built area
21	Action on	Urban develompent	walk&bike for exercise	person-km/a		estimate
22	Action on	Urban develompent	parks, waters, green corridors	%area within built zone
23	Action on	Urban develompent	local [re]forestation	m3/a		net growth
24	Action on	Transport environment	walk&bike for transport	km/a	100
25	Action on	Transport environment	bus transport	km/a	10
26	Action on	Transport environment	tram/trolley transport	km/a	5
27	Action on	Transport environment	subway&train transport	km/a	1
28	Action on	Transport environment	automobiler transport	km/a	100
29	Action on	Transport environment	scooter transport	km/a	100
30	Action on	Transport environment	bicycle parking downtown
31	Action on	Transport environment	auto&scooter parking at rail stations
32	Action on	Transport environment	auto&scooter parking downtown
33	Action on	Building codes & regs (for each bldg category)	el appliances
34	Action on	Building codes & regs (for each bldg category)	lighting
35	Action on	Building codes & regs (for each bldg category)	cooking equipment
36	Action on	Building codes & regs (for each bldg category)	space&water heat sources
37	Action on	Building codes & regs (for each bldg category)	ventilation system
38	Action on	Building codes & regs (for each bldg category)	air exchange rates
39	Action on	Building codes & regs (for each bldg category)	cooling techniques
40	Action on	Building codes & regs (for each bldg category)	building enevelope insulation
41	Action on	Building codes & regs (for each bldg category)	HVAC control system
42	Action on	Building codes & regs (for each bldg category)	spatial control systems
43	Action on	Building codes & regs (for each bldg category)	indoor tobacco smoking
44	Action on	Primary energy source	Nuclear/electric power generation	TJi/a	1000
45	Action on	Primary energy source	Nuclear/heat&powercogeneration	TJi/a	0
46	Action on	Primary energy source	Nuclear/district heat generation	TJi/a	0
47	Action on	Primary energy source	Hydro/elecrtic power generator	TJ/a	100
48	Action on	Primary energy source	Wind, solar, geothermal/electric power generation	TJ/a	1
49	Action on	Primary energy source	Coal/peat /electric power generation	TJi/a	100
50	Action on	Primary energy source	Coal/peat /heat&powercogeneration	TJi/a	1000
51	Action on	Primary energy source	Coal/peat /district heat generation	TJ/a	10
52	Action on	Primary energy source	Crude oil/electric power generation	TJi/a	0
53	Action on	Primary energy source	Crude oil/heat&powercogeneration	TJi/a	10
54	Action on	Primary energy source	Crude oil/district heat generation	TJi/a	100
55	Action on	Primary energy source	Natural gas/electric power generation	TJi/a	0
56	Action on	Primary energy source	Natural gas/heat&powercogeneration	TJi/a	100
57	Action on	Primary energy source	Natural gas/district heat generation	TJi/a	100
58	Action on	Primary energy source	Biomass/electric power generation	TJi/a	0
59	Action on	Primary energy source	Biomass/heat&powercogeneration	TJi/a	100
60	Action on	Primary energy source	Biomass/district heat generation	TJi/a	100
61	Action on	Primary energy source	Municipal waste/electric power generation	TJi/a	0
62	Action on	Primary energy source	Municipal waste/heat&powercogeneration	TJi/a	100
63	Action on	Primary energy source	Municipal waste/district heat generation	TJi/a	10
64	Impacts on	Urban environment functionality	proximity to work and school	Avg resid-work/school dist (percentiles)	0
65	Impacts on	Urban environment functionality	proximity to commercial&public services	Avg resid-supermarket/health care dist (percentiles)	0
66	Impacts on	Urban environment functionality	proximity to rgeen areas	Avg resid-park/forest dist (percetiles)	0
67	Impacts on	Urban environment functionality	proximity to public street transport	Avg resid-bustop dist (percetiles)	0
68	Impacts on	Urban environment functionality	priximity to public rail transport	Avg resid-railstop dist (percetiles)	0
69	Impacts on	Urban environment functionality	trip distance	km, avg (percetalies)	0
70	Impacts on	Urban environment functionality	trip time	h, avg (percentiles)	0
71	Impacts on	Urban environment functionality	trip frequency	avg #/week	0
72	Impacts on	Transport fuel consumption	walk&bike for transport		0
73	Impacts on	Transport fuel consumption	but transport	kg diesel/unit-km	25
74	Impacts on	Transport fuel consumption	tram&trolley	kWh electric power/unit-km	100
75	Impacts on	Transport fuel consumption	subway&train	kWh electric power/unit-km	1000
76	Impacts on	Transport fuel consumption	automobile	kg petrol/unit-km	8
77	Impacts on	Transport fuel consumption	scooter	kg petrol/unit-km	3
78	Impacts on	Transport fuel consumption	lorry
79	Impacts on	Transport fuel consumption	van
80	Impacts on	Transport fuel consumption	rail
81	Impacts on	IAQ	indoor space/cap	m3/cap
82	Impacts on	IAQ	crowding	cap/room
83	Impacts on	IAQ	sensory IAQ
84	Impacts on	IAQ	indoor temperature (when occupied)	°C, TWA (percentiles)
85	Impacts on	IAQ	indoor RH	RH,TWA (percentiles)
86	Impacts on	IAQ	indoor CO2	ppm, TWA (percentiles)
87	Impacts on	IAQ	indoor noise	dB, Lden
88	Impacts on	IAQ	indoor radon	Bq/m3
89	Impacts on	IAQ	proximity to motor traffic
90	Impacts on	Generated heat/power & fuels	electric power	TJ/a	976
91	Impacts on	Generated heat/power & fuels	district heat	TJ/a	1003
92	End use of fuel, power & heat	Transport fuel/power	petrol in transport	TJ/a	0,0243
93	End use of fuel, power & heat	Transport fuel/power	diesel in transport	TJ/a	0,0084375
94	End use of fuel, power & heat	Transport fuel/power	LNG in transport	TJ/a	0,0035
95	End use of fuel, power & heat	Transport fuel/power	liq biofuel in transport	TJ/a	0,00495
96	End use of fuel, power & heat	Transport fuel/power	el power in transport	TJ/a	0,0054
97	End use of fuel, power & heat	Buildings fuel	fossil solid fuels in buildings	TJ/a	100
98	End use of fuel, power & heat	Buildings fuel	fuel oil in buildings	TJ/a	100
99	End use of fuel, power & heat	Buildings fuel	natural gas in buildings	TJ/a	100
100	End use of fuel, power & heat	Buildings fuel	renwable solid fuels in buildings	TJ/a	100
101	End use of fuel, power & heat	Buildings fuel	solar in buildings	TJ/a	100
102	End use of fuel, power & heat	Buildings power/heat	el power in buildings	TJ/a	1
103	End use of fuel, power & heat	Buildings power/heat	distr heat in buildings	TJ/a	802,4
104	Emissions	AP&GHG from traffic	fine PM emission	t/a	0
105	Emissions	AP&GHG from traffic	BC emission	t/a
106	Emissions	AP&GHG from traffic	CO2 emission	t/a	3
107	Emissions	AP&GHG from traffic	CH4 emission	t/a	0
108	Emissions	AP&GHG from fuels used in buildings	fine PM emission	t/a	900
109	Emissions	AP&GHG from fuels used in buildings	SO2 emission	t/a	0
110	Emissions	AP&GHG from fuels used in buildings	NOx emission	t/a	86
111	Emissions	AP&GHG from fuels used in buildings	BC emission	t/a	2421
112	Emissions	AP&GHG from fuels used in buildings	CO2 emission	t/a	38800
113	Emissions	AP&GHG from fuels used in buildings	GH4 emission	t/a	57
114	Emissions	AP&GHG from heat/power generaion & fuel converaion	fine PM emission	t/a	63
115	Emissions	AP&GHG from heat/power generaion & fuel converaion	SO2 emission	t/a	24
116	Emissions	AP&GHG from heat/power generaion & fuel converaion	NOx emission	t/a	178
117	Emissions	AP&GHG from heat/power generaion & fuel converaion	BC emission	t/a	1
118	Emissions	AP&GHG from heat/power generaion & fuel converaion	CO2 emission	t/a	169930
119	Emissions	AP&GHG from heat/power generaion & fuel converaion	GH4	t/a	10
120	Time bidgets	Time-µenvironment-acivity	time at home indoors	%
121	Time bidgets	Time-µenvironment-acivity	time at workplace/school/etc.	%
122	Time bidgets	Time-µenvironment-acivity	time in other indoor destinations	%
123	Time bidgets	Time-µenvironment-acivity	time at home outdoors	%
124	Time bidgets	Time-µenvironment-acivity	time in green outdoors	%	0
125	Time bidgets	Time-µenvironment-acivity	time outdoors elsewhere	%
126	Time bidgets	Time-µenvironment-acivity	time in street traffic	%	0
127	Time bidgets	Time-µenvironment-acivity	time in rail traffic	%	0
128	Time bidgets	Time-µenvironment-acivity	time in other traffic	%
129	Time bidgets	Time-µenvironment-acivity	biking/walking	%
130	Exposure	Exposure	tobacco smoke at home	%	0	doers
131	Exposure	Exposure	tobacco smoke elsewhere	%	0	doers
132	Exposure	Exposure	solid fiel heating	%		doers
133	Exposure	Exposure	radon	Bq/m3	0	doers
134	Exposure	Exposure	damp&mold	%	0	doers
135	Exposure	Exposure	crowding	%	0	doers
136	Exposure	Exposure	winter cold	%	0	doers
137	Exposure	Exposure	summer heat	%	doers
138	Exposure	Exposure	noise	%/>...dBA Lden	0	doers
139	Exposure	Exposure	outdoor air fine PM	µg/m3	3384,279	doers
140	Exposure	Exposure	BC	µg/m3	2421,727	doers
141	Exposure	Exposure	proximity to traffic	%	0	doers
142	Policy outcomes	Wellbeing: satisfaction on	home indoor	%		satisfied
143	Policy outcomes	Wellbeing: satisfaction on	thermal comfort	%		satisfied
144	Policy outcomes	Wellbeing: satisfaction on	home outdoor	%		satisfied
145	Policy outcomes	Wellbeing: satisfaction on	work/school/etc.	%		satisfied
146	Policy outcomes	Wellbeing: satisfaction on	transport mode/time	%		satisfied
147	Policy outcomes	Wellbeing: satisfaction on	urban environment	%		satisfied
148	Policy outcomes	Health	CV disease	DALY/a	6769
149	Policy outcomes	Health	lung cancer	DALY/a	3384
150	Policy outcomes	Health	asthma [symptoms]	DALY/a	0
151	Policy outcomes	Health	AU&LRI	DALY/a	0
152	Policy outcomes	Total direct and indirect CO2 eqv. GHG emission	GHG emission from traffic	t/a	199,59038734
153	Policy outcomes	Total direct and indirect CO2 eqv. GHG emission	GHG emission from buildings	t/a	213112
154	Policy outcomes	Total direct and indirect CO2 eqv. GHG emission	GHG emission from heat/power generation	t/a	169982,344

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 on a page called City-level climate policy model/equations). 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 (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle Child = \Sigma Parent_i * Coefficient_i}

Dependencies of issues

Equation	Step	Topic	Issue	Role	Coefficient	Description
1	Impact on	Urban environment functionality	Proximity to work and school	Child
1	Action on	Urban development	Population density	Parent	1
1	Action on	Urban development	Land use efficiency	Parent	2.2
1	Policy target	Urban area	Urban plan/zoning	Parent	3.6

Formula

+ Show code- Hide code library(OpasnetUtils) library(xtable) library(ggplot2) test <- 0 issues <- op_baseGetData("opasnet_base", "Op_en5811") me <- "Urban area" formula <- function(dependencies, me, ...) { data <- issues[issues$Topic == me, ] return(data) } ova <- new("ovariable", dependencies = data.frame(Name = "test"), formula = formula ) ova EvalOutput(ova, me = "Transport") equations <- tidy(op_baseGetData("opasnet_base", "Op_en5811"), objname = "equations") # This should be the page "City-level climate policy model/equations" but it does not exist yet. equations ### This formula creates a causal model with linear dependencies between ovariables Policy.target, Action.on, ... # The dependencies are defined in a data table equations. formula <- function(dependencies, me, ...) { ComputeDependencies(dependencies, ...) # Find coefficients of equations that are relevant for this ovariable. # Take those equations that are defining the object at hand. coefficients <- equations[equations$Equation == equations[equations$Role == "Child" & equations$Step == me, "Equation"], ] coefficients <- new("ovariable", name = "coefficients", data = coefficients ) out <- data.frame() for(i in dependencies$Name) { out <- rbind(out, get(i)@output * coefficients) } out <- tapply(out$Result, out["Equation"], sum) return(out) } # Define all ovariables needed. issues Policy.targets <- new("ovariable", name = "Policy.targets", data = tidy(issues[issues$Step == "Policy target" , ], objname = "Policy.target") ) Action.on <- new("ovariable", name = "Action.on", data = tidy(issues[issues$Step == "Action on" , ], objname = "Action.on"), dependencies = data.frame(Name = c( "equation", "Policy.target" )), formula = formula ) Primary.impact.on <- new("ovariable", name = "Primary.impact.on", data = tidy(issues[issues$Step == "Primary impact on" , ], objname = "Primary impact on"), dependencies = data.frame(Name = c( "equation", "Policy.target", "Action.on" )), formula = formula ) End.use.of.energy <- new("ovariable", name = "End.use.of.energy", data = tidy(issues[issues$Step == "End use of energy" , ], objname = "End.use.of.energy"), dependencies = data.frame(Name = c( "equation", "Policy.target", "Action.on", "Primary.impact.on" )), formula = formula ) Emission <- new("ovariable", name = "Emission", data = tidy(issues[issues$Step == "Emission" , ], objname = "Emission"), dependencies = data.frame(Name = c( "equation", "Policy.target", "Action.on", "Primary.impact.on", "End.use.of.energy" )), formula = formula ) Time.budget <- new("ovariable", name = "Time.budget", data = tidy(issues[issues$Step == "Time budget" , ], objname = "Time.budget"), dependencies = data.frame(Name = c( "equation", "Policy.target", "Action.on", "Primary.impact.on", "End.use.of.energy", "Emission" )), formula = formula ) Exposure <- new("ovariable", name = "Exposure", data = tidy(issues[issues$Step == "Exposure" , ], objname = "Exposure"), dependencies = data.frame(Name = c( "equation", "Policy.target", "Action.on", "Primary.impact.on", "End.use.of.energy", "Emission", "Time.budget" )), formula = formula ) Policy.outcome <- new("ovariable", name = "Policy.outcome", data = tidy(issues[issues$Step == "Policy.outcome" , ], objname = "Policy.outcome"), dependencies = data.frame(Name = c( "equation", "Policy.target", "Action.on", "Primary.impact.on", "End.use.of.energy", "Emission", "Time.budget", "Exposure", "Policy.outcome" )), formula = formula ) # Evaluate all ovariables, starting from upstream. EvalOutput(Policy.target, me = "Policy target") EvalOutput(Action.on, me = "Action on") EvalOutput(Primary.impact.on, me = "Primary.impact.on") EvalOutput(End.use.of.energy, me = "End use of energy") EvalOutput(Emission, me = "Emission") EvalOutput(Time.budget, me = "Time.budget") EvalOutput(Exposure, me = "Exposure") EvalOutput(Policy.outcome, me = "Policy.outcome")

Related files

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