age_ldv {vein} | R Documentation |
Returns amount of vehicles at each age
Description
age_ldv
returns amount of vehicles at each age
Usage
age_ldv(
x,
name = "age",
a = 1.698,
b = -0.2,
agemin = 1,
agemax = 50,
k = 1,
bystreet = F,
net,
verbose = FALSE,
namerows,
time
)
Arguments
x |
Numeric; numerical vector of vehicles with length equal to lines features of road network |
name |
Character; of vehicle assigned to columns of dataframe |
a |
Numeric; parameter of survival equation |
b |
Numeric; parameter of survival equation |
agemin |
Integer; age of newest vehicles for that category |
agemax |
Integer; age of oldest vehicles for that category |
k |
Numeric; multiplication factor. If its length is > 1, it must match the length of x |
bystreet |
Logical; when TRUE it is expecting that 'a' and 'b' are numeric vectors with length equal to x |
net |
SpatialLinesDataFrame or Spatial Feature of "LINESTRING" |
verbose |
Logical; message with average age and total numer of vehicles |
namerows |
Any vector to be change row.names. For instance, name of regions or streets. |
time |
Character to be the time units as denominator, eg "1/h" |
Value
dataframe of age distrubution of vehicles
Note
The functions age* produce distribution of the circulating fleet by age of use. The order of using these functions is:
1. If you know the distribution of the vehicles by age of use , use: my_age
2. If you know the sales of vehicles, or the registry of new vehicles,
use age
to apply a survival function.
3. If you know the theoretical shape of the circulating fleet and you can use
age_ldv
, age_hdv
or age_moto
. For instance,
you dont know the sales or registry of vehicles, but somehow you know
the shape of this curve.
4. You can use/merge/transform/adapt any of these functions.
It consists in a Gompertz equation with default parameters from 1 national emissions inventory for green housegases in Brazil, MCT 2006
See Also
Other age:
age_hdv()
,
age_moto()
,
age()
Examples
## Not run:
data(net)
PC_E25_1400 <- age_ldv(x = net$ldv, name = "PC_E25_1400")
plot(PC_E25_1400)
PC_E25_1400 <- age_ldv(x = net$ldv, name = "PC_E25_1400", net = net)
plot(PC_E25_1400)
## End(Not run)