-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathmnl_lc_mu.R
586 lines (462 loc) · 40 KB
/
mnl_lc_mu.R
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
#selecionando diretorio
setwd("C:\\Users\\calde\\Google Drive\\Mestrado 2019_Gabriel Caldeira\\Modelos\\OD\\Banco de dados")
library(apollo)
library(tidyverse)
rm(list = ls())
parallel::detectCores() #cores available
#ler o banco de dados quando tiver o final
database <- read.csv(file = paste0(getwd(),'\\cleaning\\database_final.csv'))
###Preparing environment
apollo_initialise()
###Options controlling the running of the code
apollo_control = list(
modelName ="mnl_lc_2mu 13",
modelDescr = "2 classes, RUM e muRRM, parametros LOS, one mu parameter and sociodemographics in the class allocation model",
indivID ="id_pess",
mixing = F,
nCores = 10
)
#parametros a serem estimados
apollo_beta <- c(asc1 = 0,
asc2 = 0,
asc3 = 0,
#class 1
b_ttauto_1 = -0.15,
b_ttbus_1 = -0.04,
b_ttmetro_1 = -0.023,
b_co_1 = -0.60,
#class 2
b_ttauto_2 = -0.0578,
b_ttbus_2 = -0.052,
b_ttmetro_2 = -0.036,
b_co_2 = -0.16314,
b_mu = 0.2,
#class membership
s_1 = 0,
s_2 = 0,
b_pico_al = 0,
b_idade_al = 0,
b_grau1_al = 0,
b_grau2_al = 0,
b_sex_al = 0,
b_inc_al = 0,
b_nomorad_al = 0,
b_totviag_al = 0,
#sociodemographics
b_pico = 0,
b_idade= 0,
b_grau1 = 0,
b_grau2 = 0,
b_sex_bus = 0,
b_sex_metro = 0,
b_inc_bus = 0,
b_inc_metro = 0,
b_nomorad_bus = 0,
b_nomorad_metro = 0,
b_totviag_bus = 0,
b_totviag_metro = 0
)
#parametros fixos
apollo_fixed <- c('asc1','s_1',
'b_pico',
'b_idade',
'b_grau1',
'b_grau2',
'b_sex_bus',
'b_sex_metro',
'b_inc_bus',
'b_inc_metro',
'b_nomorad_bus',
'b_nomorad_metro',
'b_totviag_bus',
'b_totviag_metro'
)
#lendo parametros de outro modelo
setwd('C:\\Users\\calde\\Google Drive\\Mestrado 2019_Gabriel Caldeira\\JTBS\\modelo\\resultados\\mnl_lc_mu')
apollo_beta <- apollo_readBeta(apollo_beta,apollo_fixed,'mnl_lc_2mu 12',overwriteFixed = FALSE)
###Grouping latent class parameters
apollo_lcPars = function(apollo_beta, apollo_inputs){
lcpars = list()
lcpars[['b_ttauto']] = list(b_ttauto_1,b_ttauto_2)
lcpars[['b_ttbus']] = list(b_ttbus_1,b_ttbus_2)
lcpars[['b_ttmetro']] = list(b_ttmetro_1,b_ttmetro_2)
lcpars[['b_co']] = list(b_co_1,b_co_2)
###Class membership probabilities based on s_1, s_2: use of MNL fomrula
V=list()
V[["class_1"]] = s_1
V[["class_2"]] = s_2 + b_idade_al*idade + b_pico_al*pico_manha +
b_sex_al*(sexo == 2) + b_inc_al*lnrenda + b_nomorad_al*no_morad + b_totviag_al*tot_viag + b_grau1_al*grau1 + b_grau2_al*grau2
###Settings for class membership probabilities
mnl_settings = list(
alternatives = c(class_1=1, class_2=2),
avail = 1,
choiceVar = NA, ###No choice variable as only the formula of MNL is used
V = V
)
###Class membership probabilities
lcpars[["pi_values"]] = apollo_mnl(mnl_settings, functionality="raw")
return(lcpars)
}
###busca pelos dados de entrada necessarios
apollo_inputs = apollo_validateInputs()
#cosntruindo a funcao de verossimilhanca
apollo_probabilities <- function(apollo_beta,apollo_inputs,functionality = 'estimate'){
###Attaches parameters and data so that variables can be referred by name
apollo_attach(apollo_beta, apollo_inputs)
on.exit(apollo_detach(apollo_beta, apollo_inputs))
###Create list for probabilities
P = list()
### Define settings for MNL model component
mnl_settings = list(
alternatives = c(auto=3, bus=2, metro=1),
avail = list(auto=1, bus=1, metro=1),
choiceVar = choice
)
### Compute class-specific utilities
V=list()
V[['auto']] = asc1 + b_ttauto[[1]]*tt_auto + b_co[[1]]*co_auto + b_pico*pico_manha
V[['bus']] = asc2 + b_ttbus[[1]]*tt_bus_otp + b_co[[1]]*co_bus + b_idade*idade +
b_sex_bus*(sexo == 2) + b_inc_bus*lnrenda + b_nomorad_bus*no_morad + b_totviag_bus*tot_viag + b_grau1*grau1 + b_grau2*grau2
V[['metro']] = asc3 + b_ttmetro[[1]]*tt_metro + b_co[[1]]*co_metro + b_idade*idade +
b_sex_metro*(sexo == 2) + b_inc_metro*lnrenda + b_nomorad_metro*no_morad + b_totviag_metro*tot_viag + b_grau1*grau1 + b_grau2*grau2
###Calculating probabilities based on MNL function for class 1
mnl_settings$V = V
P[[1]] = apollo_mnl(mnl_settings, functionality)
### Compute class-specific regrets
R=list()
R[['auto']] = asc1 + b_mu*(-log(1 + exp((b_ttbus[[2]]*tt_bus_otp - b_ttauto[[2]]*tt_auto)/b_mu)) -
log(1 + exp((b_ttmetro[[2]]*tt_metro - b_ttauto[[2]]*tt_auto)/b_mu)) + b_mu*(-
log(1 + exp((b_co[[2]]*co_metro - b_co[[2]]*co_auto)/b_mu)) -
log(1 + exp((b_co[[2]]*co_bus - b_co[[2]]*co_auto)/b_mu)))) + b_pico*pico_manha
R[['bus']] = asc1 + b_mu*(-log(1 + exp((b_ttauto[[2]]*tt_auto - b_ttbus[[2]]*tt_bus_otp)/b_mu)) -
log(1 + exp((b_ttmetro[[2]]*tt_metro - b_ttbus[[2]]*tt_bus_otp)/b_mu)) + b_mu*(-
log(1 + exp((b_co[[2]]*co_auto - b_co[[2]]*co_bus) / b_mu)) -
log(1 + exp((b_co[[2]]/b_mu)*(co_metro - co_bus))))) + b_idade*idade + b_grau1*grau1 + b_grau2*grau2 +
b_sex_bus*(sexo == 2) + b_inc_bus*lnrenda + b_nomorad_bus*no_morad + b_totviag_bus*tot_viag
R[['metro']] = asc1 + b_mu*(- log(1 + exp((b_ttauto[[2]]*tt_auto - b_ttmetro[[2]]*tt_metro)/b_mu)) -
log(1 + exp((b_ttbus[[2]]*tt_bus_otp - b_ttmetro[[2]]*tt_metro)/b_mu)) + b_mu*(-
log(1 + exp((b_co[[2]]*co_auto - b_co[[2]]*co_metro)/b_mu)) -
log(1 + exp((b_co[[2]]/b_mu)*(co_bus - co_metro))))) + b_idade*idade + b_grau1*grau1 + b_grau2*grau2 +
b_sex_metro*(sexo == 2) + b_inc_metro*lnrenda + b_nomorad_metro*no_morad + b_totviag_metro*tot_viag
###Calculating probabilities based on MNL function for class 2
mnl_settings$V = R
P[[2]] = apollo_mnl(mnl_settings, functionality)
###Calculating choice probabilities using class membership and conditional probabilities
lc_settings = list(inClassProb = P, classProb=pi_values)
P[["model"]] = apollo_lc(lc_settings, apollo_inputs, functionality)
### Prepare and return outputs of function
P = apollo_prepareProb(P, apollo_inputs, functionality)
return(P)
}
### Optional: searching for starting value
apollo_beta = apollo_searchStart(apollo_beta,
apollo_fixed,
apollo_probabilities,
apollo_inputs,
searchStart_settings=list(nCandidates=20))
# ################################################################# #
#### Estimacao do modelo ####
# ################################################################# #
model_lc_murrm <- apollo_estimate(apollo_beta, apollo_fixed, apollo_probabilities, apollo_inputs,
estimate_settings = list(maxIterations=250) )
###Display the output to console with p-values
apollo_modelOutput(model_lc_murrm,modelOutput_settings = list(printPVal=T ,printT1=T,
printDiagnostics = T))
# ----------------------------------------------------------------- #
#---- FORMATTED OUTPUT (TO FILE, using model name) ----
# ----------------------------------------------------------------- #
setwd('C:\\Users\\calde\\Google Drive\\Mestrado 2019_Gabriel Caldeira\\JTBS\\modelo\\resultados\\mnl_lc_mu')
apollo_saveOutput(model_lc_murrm, saveOutput_settings = list(printPVal=T, printT1=T,
printDiagnostics = T)) #ver saveoutput list para mais configuracoes
#VTTS
setwd('C:\\Users\\calde\\Google Drive\\Mestrado 2019_Gabriel Caldeira\\Artigos\\JTBS\\modelo\\resultados\\mnl_lc_mu')
model_lc <- apollo_loadModel('mnl_lc_mu 10')
#RUM
vtts_auto <- model_lc$estimate[['b_ttauto_1']]/model_lc$estimate[['b_co_1']]*60
vtts_bus <- model_lc$estimate[['b_ttbus_1']]/model_lc$estimate[['b_co_1']]*60
vtts_metro <- model_lc$estimate[['b_ttmetro_1']]/model_lc$estimate[['b_co_1']]*60
vtts_auto
vtts_bus
vtts_metro
#RRM
dtt_auto <- (-model_lc$estimate[['b_ttauto_2']])/(exp(-(model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1) +
((-model_lc$estimate[['b_ttauto_2']])/(exp(-(model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1))
dco_auto <- (-model_lc$estimate[['b_co_2']])/(exp(-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']]*(database$co_bus - database$co_auto))+1) +
((-model_lc$estimate[['b_co_2']])/(exp(-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']]*(database$co_metro - database$co_auto))+1))
vtts_auto <- dtt_auto/dco_auto*60
dtt_bus <- (-model_lc$estimate[['b_ttbus_2']])/(exp(-(model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1) +
((-model_lc$estimate[['b_ttbus_2']])/(exp(-(model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1))
dco_bus <- (-model_lc$estimate[['b_co_2']])/(exp(-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']]*(database$co_auto - database$co_bus))+1) +
((-model_lc$estimate[['b_co_2']])/(exp(-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']]*(database$co_metro - database$co_bus))+1))
vtts_bus <- dtt_bus/dco_bus*60
dtt_metro <- (-model_lc$estimate[['b_ttmetro_2']])/(exp(-(model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1) +
(-model_lc$estimate[['b_ttmetro_2']]/(exp(-(model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro))+1))
dco_metro <- (-model_lc$estimate[['b_co_2']])/(exp(-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']]*(database$co_auto - database$co_metro))+1) +
((-model_lc$estimate[['b_co_2']])/(exp(-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']]*(database$co_bus - database$co_metro))+1))
vtts_metro <- dtt_metro/dco_metro*60
mean(vtts_auto)
mean(vtts_bus)
mean(vtts_metro)
vtts_lcmurrm <- data.frame(vtts_auto,vtts_bus,vtts_metro)
vtts_lcmurrm <- vtts_lcmurrm %>%
rename('vtts_auto_lcmurrm' = 'vtts_auto',
'vtts_bus_lcmurrm' = 'vtts_bus',
'vtts_metro_lcmurrm' = 'vtts_metro')
vtts_models <- cbind(vtts_models,vtts_lcmurrm)
vtts_lcmurrm_socio <- data.frame(vtts_auto,vtts_bus,vtts_metro)
vtts_lcmurrm_socio <- vtts_lcmurrm_socio %>%
rename('vtts_auto_lcmurrm_socio' = 'vtts_auto',
'vtts_bus_lcmurrm_socio' = 'vtts_bus',
'vtts_metro_lcmurrm_socio' = 'vtts_metro')
vtts_models <- cbind(vtts_models,vtts_lcmurrm_socio)
##RRM PAPER
dtt_auto <- (-model_lc$estimate[['b_ttauto_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1) +
((-model_lc$estimate[['b_ttauto_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1))
dco_auto <- (-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp(-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']]*(database$co_bus - database$co_auto))+1) +
((-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp(-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']]*(database$co_metro - database$co_auto))+1))
vtts_auto <- dtt_auto/dco_auto*60
dtt_bus <- (-model_lc$estimate[['b_ttbus_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1) +
((-model_lc$estimate[['b_ttbus_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1))
dco_bus <- (-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp(-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']]*(database$co_auto - database$co_bus))+1) +
((-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp(-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']]*(database$co_metro - database$co_bus))+1))
vtts_bus <- dtt_bus/dco_bus*60
dtt_metro <- (-model_lc$estimate[['b_ttmetro_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1) +
((-model_lc$estimate[['b_ttmetro_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1))
dco_metro <- (-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp(-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']]*(database$co_auto - database$co_metro))+1) +
((-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp(-model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']]*(database$co_bus - database$co_metro))+1))
vtts_metro <- dtt_metro/dco_metro*60
mean(vtts_auto)
mean(vtts_bus)
mean(vtts_metro)
vtts_lcmurrm_paper <- data.frame(vtts_auto,vtts_bus,vtts_metro)
vtts_lcmurrm_paper <- vtts_lcmurrm_paper %>%
rename('vtts_auto_lcmurrm_paper' = 'vtts_auto',
'vtts_bus_lcmurrm_paper' = 'vtts_bus',
'vtts_metro_lcmurrm_paper' = 'vtts_metro')
vtts_models <- cbind(vtts_models,vtts_lcmurrm)
vtts_lcmurrm_socio <- data.frame(vtts_auto,vtts_bus,vtts_metro)
vtts_lcmurrm_socio <- vtts_lcmurrm_socio %>%
rename('vtts_auto_lcmurrm_socio' = 'vtts_auto',
'vtts_bus_lcmurrm_socio' = 'vtts_bus',
'vtts_metro_lcmurrm_socio' = 'vtts_metro')
vtts_models <- cbind(vtts_models,vtts_lcmurrm_socio)
##### Elasticities #######
### Use the estimated model to make predictions
predictions_base_rum = apollo_prediction(model_lc, apollo_probabilities, apollo_inputs,prediction_settings = list(modelComponent = 1))
predictions_base_rrm = apollo_prediction(model_lc, apollo_probabilities, apollo_inputs,prediction_settings = list(modelComponent = 2))
####RUM
#tt auto
elast_ttauto <- (1-predictions_base_rum[,'auto'])*model_lc$estimate[['b_ttauto_1']]*database$tt_auto
aggfv_ttauto <- sum(elast_ttauto*(database$fe_via*predictions_base_rum[,'auto']/sum(database$fe_via*predictions_base_rum[,'auto'])))
aggfi_ttauto <- sum(elast_ttauto*(database$fe_pess*predictions_base_rum[,'auto']/sum(database$fe_pess*predictions_base_rum[,'auto'])))
agg_ttauto <- sum(elast_ttauto*(predictions_base_rum[,'auto']/sum(predictions_base_rum[,'auto'])))
#tt bus
elast_ttbus <- (1-predictions_base_rum[,'bus'])*model_lc$estimate[['b_ttbus_1']]*database$tt_bus_otp
aggfv_ttbus <- sum(elast_ttbus*(database$fe_via*predictions_base_rum[,'bus']/sum(database$fe_via*predictions_base_rum[,'bus'])))
aggfi_ttbus <- sum(elast_ttbus*(database$fe_pess*predictions_base_rum[,'bus']/sum(database$fe_pess*predictions_base_rum[,'bus'])))
agg_ttbus <- sum(elast_ttbus*(predictions_base_rum[,'bus']/sum(predictions_base_rum[,'bus'])))
#tt metro
elast_ttmetro <- (1-predictions_base_rum[,'metro'])*model_lc$estimate[['b_ttmetro_1']]*database$tt_metro
aggfv_ttmetro <- sum(elast_ttmetro*(database$fe_via*predictions_base_rum[,'metro']/sum(database$fe_via*predictions_base_rum[,'metro'])))
aggfi_ttmetro <- sum(elast_ttmetro*(database$fe_pess*predictions_base_rum[,'metro']/sum(database$fe_pess*predictions_base_rum[,'metro'])))
agg_ttmetro <- sum(elast_ttmetro*(predictions_base_rum[,'metro']/sum(predictions_base_rum[,'metro'])))
#co auto
elast_coauto <- (1-predictions_base_rum[,'auto'])*model_lc$estimate[['b_co_1']]*database$co_auto
aggfv_coauto <- sum(elast_coauto*(database$fe_via*predictions_base_rum[,'auto']/sum(database$fe_via*predictions_base_rum[,'auto'])))
aggfi_coauto <- sum(elast_coauto*(database$fe_pess*predictions_base_rum[,'auto']/sum(database$fe_pess*predictions_base_rum[,'auto'])))
agg_coauto <- sum(elast_coauto*(predictions_base_rum[,'auto']/sum(predictions_base_rum[,'auto'])))
#co bus
elast_cobus <- (1-predictions_base_rum[,'bus'])*model_lc$estimate[['b_co_1']]*database$co_bus
aggfv_cobus <- sum(elast_cobus*(database$fe_via*predictions_base_rum[,'bus']/sum(database$fe_via*predictions_base_rum[,'bus'])))
aggfi_cobus <- sum(elast_cobus*(database$fe_pess*predictions_base_rum[,'bus']/sum(database$fe_pess*predictions_base_rum[,'bus'])))
agg_cobus <- sum(elast_cobus*(predictions_base_rum[,'bus']/sum(predictions_base_rum[,'bus'])))
#co metro
elast_cometro <- (1-predictions_base_rum[,'metro'])*model_lc$estimate[['b_co_1']]*database$co_metro
aggfv_cometro <- sum(elast_cobus*(database$fe_via*predictions_base_rum[,'metro']/sum(database$fe_via*predictions_base_rum[,'metro'])))
aggfi_cometro <- sum(elast_cobus*(database$fe_pess*predictions_base_rum[,'metro']/sum(database$fe_pess*predictions_base_rum[,'metro'])))
agg_cometro <- sum(elast_cobus*(predictions_base_rum[,'metro']/sum(predictions_base_rum[,'metro'])))
#enumerado
agg_coauto
agg_cobus
agg_cometro
agg_ttauto
agg_ttbus
agg_ttmetro
#viagem
aggfv_coauto
aggfv_cobus
aggfv_cometro
aggfv_ttauto
aggfv_ttbus
aggfv_ttmetro
#individuo
aggfi_coauto
aggfi_cobus
aggfi_cometro
aggfi_ttauto
aggfi_ttbus
aggfi_ttmetro
### RRM
#tt auto
elast_ttauto <- ((model_lc$estimate[['b_ttauto_2']])/(exp(-(model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1) +
(model_lc$estimate[['b_ttauto_2']])/(exp(-(model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1) +
((-model_lc$estimate[['b_ttauto_2']])/(exp(-(model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'auto'] +
((-model_lc$estimate[['b_ttauto_2']])/(exp(-(model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'auto'] +
(model_lc$estimate[['b_ttauto_2']])/(exp((model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'bus'] +
(model_lc$estimate[['b_ttauto_2']])/(exp((model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'metro'])*database$tt_auto
aggfv_ttauto <- sum(elast_ttauto*(database$fe_via*predictions_base_rrm[,'auto']/sum(database$fe_via*predictions_base_rrm[,'auto'])))
aggfv_ttauto <- sum(elast_ttauto*(database$fe_pess*predictions_base_rrm[,'auto']/sum(database$fe_pess*predictions_base_rrm[,'auto'])))
agg_ttauto <- sum(elast_ttauto*(predictions_base_rrm[,'auto']/sum(predictions_base_rrm[,'auto'])))
#tt bus
elast_ttbus <- ((model_lc$estimate[['b_ttbus_2']])/(exp(-(model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1) +
(model_lc$estimate[['b_ttbus_2']])/(exp(-(model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1) +
((model_lc$estimate[['b_ttbus_2']])/(exp(-(model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'bus'] +
((-model_lc$estimate[['b_ttbus_2']])/(exp(-(model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'bus'] +
(model_lc$estimate[['b_ttbus_2']])/(exp((model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'auto'] +
(model_lc$estimate[['b_ttbus_2']])/(exp((model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'metro'])*database$tt_bus_otp
aggfv_ttbus <- sum(elast_ttbus*(database$fe_via*predictions_base_rrm[,'bus']/sum(database$fe_via*predictions_base_rrm[,'bus'])))
aggfi_ttbus <- sum(elast_ttbus*(database$fe_pess*predictions_base_rrm[,'bus']/sum(database$fe_pess*predictions_base_rrm[,'bus'])))
agg_ttbus <- sum(elast_ttbus*(predictions_base_rrm[,'bus']/sum(predictions_base_rrm[,'bus'])))
#tt metro
elast_ttmetro <- ((model_lc$estimate[['b_ttmetro_2']])/(exp(-(model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1) +
(model_lc$estimate[['b_ttmetro_2']])/(exp(-(model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1) +
((-model_lc$estimate[['b_ttmetro_2']])/(exp(-(model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'metro'] +
((-model_lc$estimate[['b_ttmetro_2']])/(exp(-(model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'metro'] +
(model_lc$estimate[['b_ttmetro_2']])/(exp((model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'auto'] +
(model_lc$estimate[['b_ttmetro_2']])/(exp((model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'bus'])*database$tt_metro
aggfv_ttmetro <- sum(elast_ttmetro*(database$fe_via*predictions_base_rrm[,'metro']/sum(database$fe_via*predictions_base_rrm[,'metro'])))
aggfi_ttmetro <- sum(elast_ttmetro*(database$fe_pess*predictions_base_rrm[,'metro']/sum(database$fe_pess*predictions_base_rrm[,'metro'])))
agg_ttmetro <- sum(elast_ttmetro*(predictions_base_rrm[,'metro']/sum(predictions_base_rrm[,'metro'])))
#co auto
elast_coauto <- ((model_lc$estimate[['b_co_2']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_bus - model_lc$estimate[['b_co_2']]*database$co_auto)/model_lc$estimate[['b_mu']])+1) +
(model_lc$estimate[['b_co_2']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_metro - model_lc$estimate[['b_co_2']]*database$co_auto)/model_lc$estimate[['b_mu']])+1) +
((-model_lc$estimate[['b_co_2']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_bus - model_lc$estimate[['b_co_2']]*database$co_auto)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'auto'] +
((-model_lc$estimate[['b_co_2']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_metro - model_lc$estimate[['b_co_2']]*database$co_auto)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'auto'] +
(model_lc$estimate[['b_co_2']])/(exp((model_lc$estimate[['b_co_2']]*database$co_bus - model_lc$estimate[['b_co_2']]*database$co_auto)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'bus'] +
(model_lc$estimate[['b_co_2']])/(exp((model_lc$estimate[['b_co_2']]*database$co_metro - model_lc$estimate[['b_co_2']]*database$co_auto)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'metro'])*database$co_auto
aggfv_coauto <- sum(elast_coauto*(database$fe_via*predictions_base_rrm[,'auto']/sum(database$fe_via*predictions_base_rrm[,'auto'])))
aggfi_coauto <- sum(elast_coauto*(database$fe_pess*predictions_base_rrm[,'auto']/sum(database$fe_pess*predictions_base_rrm[,'auto'])))
agg_coauto <- sum(elast_coauto*(predictions_base_rrm[,'auto']/sum(predictions_base_rrm[,'auto'])))
#co bus
elast_cobus <- ((model_lc$estimate[['b_co_2']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_auto - model_lc$estimate[['b_co_2']]*database$co_bus)/model_lc$estimate[['b_mu']])+1) +
(model_lc$estimate[['b_co_2']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_metro - model_lc$estimate[['b_co_2']]*database$co_bus)/model_lc$estimate[['b_mu']])+1) +
((-model_lc$estimate[['b_co_2']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_auto - model_lc$estimate[['b_co_2']]*database$co_bus)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'bus'] +
((-model_lc$estimate[['b_co_2']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_metro - model_lc$estimate[['b_co_2']]*database$co_bus)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'bus'] +
(model_lc$estimate[['b_co_2']])/(exp((model_lc$estimate[['b_co_2']]*database$co_auto - model_lc$ estimate[['b_co_2']]*database$co_bus)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'auto'] +
(model_lc$estimate[['b_co_2']])/(exp((model_lc$estimate[['b_co_2']]*database$co_metro - model_lc$estimate[['b_co_2']]*database$co_bus)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'metro'])*database$co_bus
aggfv_cobus <- sum(elast_cobus*(database$fe_via*predictions_base_rrm[,'bus']/sum(database$fe_via*predictions_base_rrm[,'bus'])))
aggfi_cobus <- sum(elast_cobus*(database$fe_pess*predictions_base_rrm[,'bus']/sum(database$fe_pess*predictions_base_rrm[,'bus'])))
agg_cobus <- sum(elast_cobus*(predictions_base_rrm[,'bus']/sum(predictions_base_rrm[,'bus'])))
#co metro
elast_cometro <- ((model_lc$estimate[['b_co_2']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_auto - model_lc$estimate[['b_co_2']]*database$co_metro)/model_lc$estimate[['b_mu']])+1) +
(model_lc$estimate[['b_co_2']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_bus - model_lc$estimate[['b_co_2']]*database$co_metro)/model_lc$estimate[['b_mu']])+1) +
((-model_lc$estimate[['b_co_2']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_auto - model_lc$estimate[['b_co_2']]*database$co_metro)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'metro'] +
((-model_lc$estimate[['b_co_2']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_bus - model_lc$estimate[['b_co_2']]*database$co_metro)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'metro'] +
(model_lc$estimate[['b_co_2']])/(exp((model_lc$estimate[['b_co_2']]*database$co_auto - model_lc$estimate[['b_co_2']]*database$co_metro)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'auto'] +
(model_lc$estimate[['b_co_2']])/(exp((model_lc$estimate[['b_co_2']]*database$co_bus - model_lc$estimate[['b_co_2']]*database$co_metro)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'bus'])*database$co_metro
aggfv_cometro <- sum(elast_cobus*(database$fe_via*predictions_base_rrm[,'metro']/sum(database$fe_via*predictions_base_rrm[,'metro'])))
aggfi_cometro <- sum(elast_cobus*(database$fe_pess*predictions_base_rrm[,'metro']/sum(database$fe_pess*predictions_base_rrm[,'metro'])))
agg_cometro <- sum(elast_cobus*(predictions_base_rrm[,'metro']/sum(predictions_base_rrm[,'metro'])))
#enumerado
agg_coauto
agg_cobus
agg_cometro
agg_ttauto
agg_ttbus
agg_ttmetro
#viagem
aggfv_coauto
aggfv_cobus
aggfv_cometro
aggfv_ttauto
aggfv_ttbus
aggfv_ttmetro
#individuo
aggfi_coauto
aggfi_cobus
aggfi_cometro
aggfi_ttauto
aggfi_ttbus
aggfi_ttmetro
### RRM PAPER
#tt auto
elast_ttauto <- ((model_lc$estimate[['b_ttauto_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1) +
(model_lc$estimate[['b_ttauto_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1) +
((model_lc$estimate[['b_ttauto_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'bus'] +
((model_lc$estimate[['b_ttauto_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'bus'] +
(model_lc$estimate[['b_ttauto_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'metro'] +
(model_lc$estimate[['b_ttauto_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttauto_2']]*database$tt_auto)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'metro'])*database$tt_auto
aggfv_ttauto <- sum(elast_ttauto*(database$fe_via*predictions_base_rrm[,'auto']/sum(database$fe_via*predictions_base_rrm[,'auto'])))
aggfv_ttauto <- sum(elast_ttauto*(database$fe_pess*predictions_base_rrm[,'auto']/sum(database$fe_pess*predictions_base_rrm[,'auto'])))
agg_ttauto <- sum(elast_ttauto*(predictions_base_rrm[,'auto']/sum(predictions_base_rrm[,'auto'])))
#tt bus
elast_ttbus <- ((model_lc$estimate[['b_ttbus_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1) +
(model_lc$estimate[['b_ttbus_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1) +
((model_lc$estimate[['b_ttbus_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'auto'] +
((model_lc$estimate[['b_ttbus_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'auto'] +
(model_lc$estimate[['b_ttbus_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'metro'] +
(model_lc$estimate[['b_ttbus_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_ttmetro_2']]*database$tt_metro - model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'metro'])*database$tt_bus_otp
aggfv_ttbus <- sum(elast_ttbus*(database$fe_via*predictions_base_rrm[,'bus']/sum(database$fe_via*predictions_base_rrm[,'bus'])))
aggfi_ttbus <- sum(elast_ttbus*(database$fe_pess*predictions_base_rrm[,'bus']/sum(database$fe_pess*predictions_base_rrm[,'bus'])))
agg_ttbus <- sum(elast_ttbus*(predictions_base_rrm[,'bus']/sum(predictions_base_rrm[,'bus'])))
#tt metro
elast_ttmetro <- ((model_lc$estimate[['b_ttmetro_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1) +
(model_lc$estimate[['b_ttmetro_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1) +
((model_lc$estimate[['b_ttmetro_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'auto'] +
((model_lc$estimate[['b_ttmetro_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'auto'] +
(model_lc$estimate[['b_ttmetro_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_ttauto_2']]*database$tt_auto - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'bus'] +
(model_lc$estimate[['b_ttmetro_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_ttbus_2']]*database$tt_bus_otp - model_lc$estimate[['b_ttmetro_2']]*database$tt_metro)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'bus'])*database$tt_metro
aggfv_ttmetro <- sum(elast_ttmetro*(database$fe_via*predictions_base_rrm[,'metro']/sum(database$fe_via*predictions_base_rrm[,'metro'])))
aggfi_ttmetro <- sum(elast_ttmetro*(database$fe_pess*predictions_base_rrm[,'metro']/sum(database$fe_pess*predictions_base_rrm[,'metro'])))
agg_ttmetro <- sum(elast_ttmetro*(predictions_base_rrm[,'metro']/sum(predictions_base_rrm[,'metro'])))
#co auto
elast_coauto <- ((model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_bus - model_lc$estimate[['b_co_2']]*database$co_auto)/model_lc$estimate[['b_mu']])+1) +
(model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_metro - model_lc$estimate[['b_co_2']]*database$co_auto)/model_lc$estimate[['b_mu']])+1) +
((model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_co_2']]*database$co_bus - model_lc$estimate[['b_co_2']]*database$co_auto)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'bus'] +
((model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_co_2']]*database$co_metro - model_lc$estimate[['b_co_2']]*database$co_auto)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'bus'] +
(model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_co_2']]*database$co_bus - model_lc$estimate[['b_co_2']]*database$co_auto)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'metro'] +
(model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_co_2']]*database$co_metro - model_lc$estimate[['b_co_2']]*database$co_auto)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'metro'])*database$co_auto
aggfv_coauto <- sum(elast_coauto*(database$fe_via*predictions_base_rrm[,'auto']/sum(database$fe_via*predictions_base_rrm[,'auto'])))
aggfi_coauto <- sum(elast_coauto*(database$fe_pess*predictions_base_rrm[,'auto']/sum(database$fe_pess*predictions_base_rrm[,'auto'])))
agg_coauto <- sum(elast_coauto*(predictions_base_rrm[,'auto']/sum(predictions_base_rrm[,'auto'])))
#co bus
elast_cobus <- ((model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_auto - model_lc$estimate[['b_co_2']]*database$co_bus)/model_lc$estimate[['b_mu']])+1) +
(model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_metro - model_lc$estimate[['b_co_2']]*database$co_bus)/model_lc$estimate[['b_mu']])+1) +
((model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_co_2']]*database$co_auto - model_lc$estimate[['b_co_2']]*database$co_bus)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'auto'] +
((model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_co_2']]*database$co_metro - model_lc$estimate[['b_co_2']]*database$co_bus)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'auto'] +
(model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_co_2']]*database$co_auto - model_lc$ estimate[['b_co_2']]*database$co_bus)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'metro'] +
(model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_co_2']]*database$co_metro - model_lc$estimate[['b_co_2']]*database$co_bus)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'metro'])*database$co_bus
aggfv_cobus <- sum(elast_cobus*(database$fe_via*predictions_base_rrm[,'bus']/sum(database$fe_via*predictions_base_rrm[,'bus'])))
aggfi_cobus <- sum(elast_cobus*(database$fe_pess*predictions_base_rrm[,'bus']/sum(database$fe_pess*predictions_base_rrm[,'bus'])))
agg_cobus <- sum(elast_cobus*(predictions_base_rrm[,'bus']/sum(predictions_base_rrm[,'bus'])))
#co metro
elast_cometro <- ((model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_auto - model_lc$estimate[['b_co_2']]*database$co_metro)/model_lc$estimate[['b_mu']])+1) +
(model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp(-(model_lc$estimate[['b_co_2']]*database$co_bus - model_lc$estimate[['b_co_2']]*database$co_metro)/model_lc$estimate[['b_mu']])+1) +
((model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_co_2']]*database$co_auto - model_lc$estimate[['b_co_2']]*database$co_metro)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'auto'] +
((model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_co_2']]*database$co_bus - model_lc$estimate[['b_co_2']]*database$co_metro)/model_lc$estimate[['b_mu']])+1))*predictions_base_rrm[,'auto'] +
(model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_co_2']]*database$co_auto - model_lc$estimate[['b_co_2']]*database$co_metro)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'bus'] +
(model_lc$estimate[['b_co_2']]/model_lc$estimate[['b_mu']])/(exp((model_lc$estimate[['b_co_2']]*database$co_bus - model_lc$estimate[['b_co_2']]*database$co_metro)/model_lc$estimate[['b_mu']])+1)*predictions_base_rrm[,'bus'])*database$co_metro
aggfv_cometro <- sum(elast_cobus*(database$fe_via*predictions_base_rrm[,'metro']/sum(database$fe_via*predictions_base_rrm[,'metro'])))
aggfi_cometro <- sum(elast_cobus*(database$fe_pess*predictions_base_rrm[,'metro']/sum(database$fe_pess*predictions_base_rrm[,'metro'])))
agg_cometro <- sum(elast_cobus*(predictions_base_rrm[,'metro']/sum(predictions_base_rrm[,'metro'])))
#enumerado
agg_coauto
agg_cobus
agg_cometro
agg_ttauto
agg_ttbus
agg_ttmetro
#viagem
aggfv_coauto
aggfv_cobus
aggfv_cometro
aggfv_ttauto
aggfv_ttbus
aggfv_ttmetro
#individuo
aggfi_coauto
aggfi_cobus
aggfi_cometro
aggfi_ttauto
aggfi_ttbus
aggfi_ttmetro