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Outputs

Brice Nichols edited this page Aug 4, 2022 · 9 revisions

The following is a list of files produced by the model in the outputs folder under the model directory root:

File Name File Type Description
topsheet_summary.html File High-level metrics, generally a first place to find results.
metrics.html File Additional high-level metrics for more detailed results analysis.
access Folder Outputs of jobs_accessibility.py summary script
auto_jobs_access.csv File
auto_jobs_access_person.csv File
transit_jobs_access.csv File
transit_jobs_access_person.csv File
walk_bike_jobs_access.csv File
walk_bike_jobs_access_person.csv File
agg aggregated Daysim outputs, used as inputs for other summaries
bike Folder
bike_attr.csv File Link attributes for bike assignment
compare aggregated Daysim outputs at various levels of geography, used to compare run results
daysim Folder
_trip.tsv File Trips
_tour.tsv File Tours
_person_day.tsv File Person-day pattern
_household_day.tsv File Household-day pattern
_person.tsv File Persons
_household.tsv File Households
_full_half_tour.tsv File Full half tours (empty)
_joint_tour.tsv File Joint tours (empty)
_partial_half_tour.tsv File Partial half tours (empty)
daysim_outputs.h5 File DaySim outputs in HDF5 format
aggregate_logsums.*.dat File Aggregate logsum files
archive_daysim_configuration.properties File DaySim configuration file
archive_park_and_ride_shadow_prices.txt File Park-and-ride shadow prices
archive_shadow_prices.txt File Shadow prices
buffered_parcels.dat File Buffered parcel file; this is an output from accessibility calculations and an input to DaySim
run_*.log File Daysim log file
emissions Folder regional and county-level emissions summaries, including intermediary calculations
landuse Folder
buffered_parcels.txt File Parcel files with network-buffered attributes (i.e., summaries of nearby attributes within given network distances from the parcel centroid)
psrc_worker_ixxifractions.dat File Computer share of zonal workers living outside or inside the region
logs Folder Detailed log files. The "skims_log.txt" file is useful in debugging assignment convergence and run time.
network Folder Various network-level outputs
daily_network_results.csv Link-level attributes summed for all time periods
network_results.csv File Link-level attributes by time of day period
network_shape.csv File Link i and j coordinates for mapping results
network_summary.xlsx File Summary of high level network results and screenlines
network_summary_detailed.xlsx File Summary spreadsheet containing various assignment-related results. This is the primary network results file to be used.
RTP Folder HTML outputs created for the 2018 Regional Transportation Plan, but generally useful summaries
supplemental Folder Supplemental trip table results
transit Folder Transit summaries
trucks Folder Intermediary truck calculations
validation Folder Validation CSV and HTML files

Network Outputs

This CSV output includes data for each each IJ link and time period. The data columns are defined as follows:

  • i
  • j
  • tveh (total passenger car volumes, SOV, HOV2, and HOV3 across all classes)
  • metrk (medium truck volumes)
  • hvtrk (heavy truck volumes)
  • speed_limit
  • facility_type
    • 1: Other
    • 2: Freeway
    • 3: Expressway
    • 4: Urban Arterial
    • 5: Centroid
    • 6: Rural Arterial
  • capacity
  • lanes
  • ij_length
  • time (travel time in minutes)
  • bvol (bike volume)
  • tod (time of day period)
  • ij (concatenation of i and j link ID)

DaySim

Trip File (_trip.tsv)

The file is ASCII delimited with a header record.

Field Valid values Description
hhno 1 - 9999999 The household ID number; values must be unique positive integers, and should be in ascending order; must be present in the Household file
pno 1 – 99 The person sequence number within the household; values must be unique positive integers within a household and match the hhno/pno combinations in the Person file
day 1 – 99 The survey day sequence, if using multiday survey data, or if DaySim was programmed to simulate multiple days per household (which is not a current feature)
tour 1 – 99 The tour sequence within the person-day; must match a tour present for the person-day in the Tour file
half 1 –2 The half tour (1=to the destination, 2=from the destination)
tseg 1 - 99 The trip sequence number within the half tour
tsvid 1 - 99 Links to a travel survey trip ID (not relevant in application mode)
opurp 0 – 10 The purpose at the trip origin (0=home, 1=work, 2=school, 3=escort, 4=personal business (& medical), 5=shopping, 6=meal, 7=social (& recreation), 8=recreation (H version only), 9=medical (H version only), 10=change mode at a park-and-ride lot
dpurp 0 – 10 The purpose at the trip destination (0=home, 1=work, 2=school, 3=escort, 4=personal business (& medical), 5=shopping, 6=meal, 7=social (& recreation), 8=recreation (H version only) 9=medical (H version only), 10=change mode at a park-and-ride lot
oadtyp 1 – 6 Trip origin address type (1=home, 2=usual work location, 3=usual school location, 4=other location in region, 5=out of region/missing (survey data only), 6=inserted change mode location for park-and-ride
dadtyp 1 – 6 Trip dest. address type (1=home, 2=usual work location, 3=usual school location, 4=other location in region, 5=out of region/missing (survey data only), 6=inserted change mode location for park-and-ride
opcl -1 - 9999999 Trip origin parcel ID; must be a valid parcel ID present in the Parcel file
otaz -1 - 9999999 Trip origin zone ID; must be a valid zone ID present in the Zone file
dpcl -1 - 9999999 Trip destination parcel ID; must be a valid parcel ID present in the Parcel file
dtaz -1 - 9999999 Trip destination zone ID; must be a valid zone ID present in the Zone file
mode 1 - 8 Trip mode (1=walk, 2=bike, 3=sov, 4=HOV 2, 5=HOV 3+, 6=walk to transit, 7=park-and-ride, 8=school bus, 9=other–survey only)
pathtype 1 - 8 Trip path type (1=full network, 2=no-toll network, 3=local bus, 4=light rail, 5=premium bus, 6=commuter rail, 7=ferry)
dorp 0 - 999 For auto trips, 1=driver, 2=passenger; for transit trips, is set to the total walk access+egress time, in integer minutes
deptm 0 – 1439 The trip departure time, in minutes after midnight
arrtm 0 – 1439 The trip arrival time, in minutes after midnight
endacttm 0 – 1439 The end time of the destination activity, in minutes after midnight
travtime -1 - 9999999 The travel time by the trip mode and path type (a real number of minutes)
travcost -1 - 9999999 The travel cost by the trip mode and path type (a real number of dollars)
travdist -1 - 9999999 The network distance between the trip origin and destination (a real number of miles, SOV distance used for transit trips)
trexpfac Real >= 0 The expansion factor for the trip–a non-negative real number; is set equal to hhexpfac in application mode

Relevant DaySim configuration parameters:

  • OutputTripPath (string file name and path)
  • OutputTripDelimiter (ASCII code, 9=tab, 32=space, 44=comma)

Tour File (_tour.tsv)

The file is ASCII delimited with a header record.

Field Valid values Description
hhno 1 - 9999999 The household ID number; values must be unique positive integers and should be in ascending order; must be present in the Household file
pno 1 – 99 The person sequence number within the household; values must be unique positive integers within a household and match the hhno/pno combinations in the Person file
day 1 – 99 The survey day sequence, if using multiday survey data, or if DaySim was programmed to simulate multiple days per household (which is not a current feature)
tour 1 – 99 The tour sequence within the person-day
jtindex 0 – 99 Links to the sequence number of the tour in the JointTour file records for the HouseholdDay; only relevant for the H version of the models
parent 0 - 99 If it is a work-based subtour, then the “tour” sequence number of the “parent” work tour, otherwise 0
subtours 0 - 99 For home-based work tours, the number of work-based subtours made from the work activity of that tour
pdpurp 1 - 9 The tour primary destination purpose (1=work, 2=school, 3=escort, 4=personal business (& medical), 5=shopping, 6=meal, 7=social (& recreation), 8=recreation (H version only), and 9=medical (H version only)
tlvorig 0 - 1439 The time leaving the (sub)tour origin, in minutes after midnight
tardest 0 - 1439 The time arriving at the (sub)tour destination, in minutes after midnight
tlvdest 0 - 1439 The time leaving the (sub)tour destination, in minutes after midnight
tarorig 0 - 1439 The time arriving back at the (sub)tour origin, in minutes after midnight
toadtyp 1 - 5 Tour origin address type (1=home, 2=usual work location, 3=usual school location, 4=other location in region, and 5=out of region/missing (survey data only)
tdadtyp 1 - 5 Tour destination address type (1=home, 2=usual work location, 3=usual school location, 4=other location in region, and 5=out of region/missing (survey data only)
topcl -1 - 9999999 Tour origin parcel ID; must be a valid parcel ID present in the Parcel file
totaz -1 - 9999999 Tour origin zone ID; must be a valid zone ID present in the Zone file
tdpcl -1 - 9999999 Tour destination parcel ID; must be a valid parcel ID present in the Parcel file
tdtaz -1 - 9999999 Tour destination zone ID; must be a valid zone ID present in the Zone file
tmodetp 1 - 8 Tour main mode type (1=walk, 2=bike, 3=sov, 4=hov 2, 5=hov 3+, 6=walk to transit, 7=park-and-ride, 8=school bus, and 9=other–survey only)
tpathtp 1 - 8 Tour main mode path type (1=full network, 2=no-toll network, 3=local bus, 4=light rail, 5=premium bus, 6=commuter rail, and 7=ferry)
tautotime -1 - 9999999 The one-way auto travel time between the origin and destination (a real number of minutes)
tautocost -1 - 9999999 The one-way auto toll cost between the origin and destination (a real number of dollars)
tautodist -1 - 9999999 The one-way auto travel distance between the origin and destination (a real number of miles)
tripsh1 1 - 99 The number of trips segments on the half tour to the destination
tripsh2 1 - 99 The number of trips segments on the half tour from the destination
phtindx1 0 - 99 Links to the sequence number of the first half tour in the PartialHalfTour file records for the HouseholdDay (only relevant for the H version of the models)
phtindx2 0 - 99 Links to the sequence number of the second half tour in the PartialHalfTour file records for the HouseholdDay (only relevant for the H version of the models)
fhtindx1 0 - 99 Links to the sequence number of the first half tour in the FullHalfTour file records for the HouseholdDay (only relevant for the H version of the models)
fhtindx2 0 - 99 Links to the sequence number of the second half tour in the FullHalfTour file records for the HouseholdDay (only relevant for the H version of the models)
toexpfac Real >= 0 The expansion factor for the tour–a non-negative real number; is set equal to hhexpfac in application mode

Relevant DaySim configuration parameters:

  • OutputTourPath (string file name and path)
  • OutputTourDelimiter (ASCII code, 9=tab, 32=space, 44=comma)

Person Day File (_person_day.tsv)

The file is ASCII delimited with a header record.

Field Valid values Description
hhno 1 - 9999999 The household ID number; values must be unique positive integers, and should be in ascending order; must be present in the Household file
pno 1 – 99 The person sequence number within the household; values must be unique positive integers within a household, and match the hhno/pno combinations in the Person file
day 1 – 99 The survey day sequence, if using multiday survey data, or if DaySim was programmed to simulate multiple days per household (which is not a current feature)
beghom 0 – 1 A flag if the survey diary day begins at home; not currently relevant for application mode, where all days are simulated to begin at home
endhom 0 – 1 A flag if the survey diary day ends at home; not currently relevant for application mode, where all days are simulated to end at home
hbtours 0 – 99 The total number of home-based tour records predicted for the person-day
wbtours 0 – 99 The total number of work-based subtour records predicted for the person-day
uwtours 0 – 99 The total number of home-based work tours predicted to go to the usual workplace in the person-day
wktours 0 – 99 The number of home-based work tours predicted in the person-day
sctours 0 – 99 The number of home-based school tours predicted in the person-day
estours 0 – 99 The number of home-based escort tours predicted in the person-day
pbtours 0 – 99 The number of home-based personal business tours predicted in the person-day (also includes medical tours in the Default models)
shtours 0 – 99 The number of home-based shopping tours predicted in the person-day
mltours 0 – 99 The number of home-based meal tours predicted in the person-day
sotours 0 – 99 The number of home-based social tours predicted in the person-day (also includes recreational tours in the Default models)
retours 0 – 99 The number of home-based recreation tours predicted in the person-day (only predicted by the H version of the models)
metours 0 – 99 The number of home-based medical tours predicted in the person-day (only predicted by the H version of the models)
wkstops 0 – 99 The number of home-based work stops predicted in the person-day
scstops 0 – 99 The number of home-based school stops predicted in the person-day
esstops 0 – 99 The number of home-based escort stops predicted in the person-day
pbstops 0 – 99 The number of home-based personal business stops predicted in the person-day (also includes medical stops in the Default models)
shstops 0 – 99 The number of home-based shopping stops predicted in the person-day
mlstops 0 – 99 The number of home-based meal stops predicted in the person-day
sostops 0 – 99 The number of home-based social stops predicted in the person-day (also includes recreational stops in the Default models)
restops 0 – 99 The number of home-based recreation stops predicted in the person-day (only predicted by the H version of the models)
mestops 0 – 99 The number of home-based medical stops predicted in the person-day (only predicted by the H version of the models)
wkathome 0 – 1439 The number of minutes spent working at home during the day (only predicted by the H version of the models)
pdexpfac Real >= 0 The expansion factor for the household-day–a nonnegative real number (set equal to hhexpfac in application mode)

Relevant DaySim configuration parameters:

  • OutputPersonDayPath (string file name and path)
  • OutputPersonDayDelimiter (ASCII code, 9=tab, 32=space, 44=comma)

Household Day File (_household_day.tsv)

This file is applicable to the “H” version of the DaySim models that has models of joint tour and half tour generation that do not belong to single persons in the household. This file is still produced in the Default version of the models, but contains no useful information.

The file is ASCII delimited with a header record.

Field Valid values Description
hhno 1 - 9999999 The household ID number; values must be unique positive integers, and should be in ascending order; must be present in the Household file
day 1 – 99 The survey day sequence, if using multiday survey data, or if DaySim were programmed to simulate multiple days per household (which is not a current feature)
dow 1 - 7 The day of the week, which is relevant for survey data, but is not currently used in the DaySim models
jttours 0 - 99 The number of fully joint tour records output for the household (set only in the H version of the DaySim models)
phtours 0 - 99 The number of partially joint half tour records output for the household (set only in the H version of the DaySim models)
fhtours 0 - 99 The number of fully joint half tour records output for the household (set only in the H version of the DaySim models)
hdexpfac Real >= 0 The expansion factor for the household-day–a nonnegative real number (set equal to hhexpfac in application mode)

Relevant DaySim configuration parameters:

  • OutputHouseholdDayPath (string file name and path)
  • OutputHouseholdDayDelimiter (ASCII code, 9=tab, 32=space, 44=comma)

Buffered Parcel File (buffered_parcels.dat)

This file is ASCII delimited with a header record. Real>=0 below indicates a non-negative number which does not need to be an integer value.

Field Valid values Description
parcelid 1-9999999 The parcel ID number; values must be unique positive integers, in ascending order (aps are allowed, but not efficient for memory)
xcoord_p 1-999999999 The x coordinate of the parcel centroid, in integer length units (typically SPF)
ycoord_p 1-999999999 The y coordinate of the parcel centroid, in integer length units (typically SPF)
sqft_p 0-999999999 The area of the parcel, in thousands of square length units (typically sq. ft., does not need to be an integer)
taz_p 1-9999999 The zone that the parcel is in; must be a valid zone_id in the “zone” file
lutype_p 0-9999999 A land-use type value; this variable currently has no mandatory use in the DaySim code and is available for region-specific usage
hh_p Real >=0 The number of households residing on a parcel
stugrad_p Real >=0 The number of grade school (K-8) students enrolled in schools on a parcel
stuhgh_p Real >=0 The number of high school (9-12) students enrolled in schools on a parcel; if this is not available separately, then set to 0 and put the number of K-12 students in stugrd_p
stuuni_p Real >=0 The number of university/college students enrolled in schools on a parcel
empedu_p Real >=0 The number of educational employees working on a parcel
empfoo_p Real >=0 The number of food service employees working on a parcel
empgov_p Real >=0 The number of government employees working on a parcel
empind_p Real >=0 The number of industrial employees working on a parcel
empmed_p Real >=0 The number of medical employees working on a parcel
empofc_p Real >=0 The number of (other) office employees working on a parcel
empret_p Real >=0 The number of retail employees working on a parcel
empsvc_p Real >=0 The number of (other) service employees working on a parcel
empoth_p Real >=0 The number of other sector employees working on a parcel; typically contains construction, agriculture, and mining
emptot_p Real >=0 The total number of employees working on a parcel; should equal the sum of the nine previous fields
parkdy_p Real >=0 The number of paid public off-street parking spaces on a parcel with per-day pricing; may overlap with parkhr_p if have both types of pricing
parkhr_p Real >=0 The number of paid public off-street parking spaces on a parcel with per-hour pricing; may overlap with parkdy_p if have both types of pricing
ppricdyp Real >=0 The average price of public off-street parking spaces on a parcel with per-day pricing; in cents per day
pprichrp Real >=0 The average price of public off-street parking spaces on a parcel with per-hour pricing; in cents per hour
hh_1 Real >=0 The number of households residing in buffer 1
stugrad_1 Real >=0 The number of grade school (K-8) students enrolled in schools in buffer 1
stuhgh_1 Real >=0 The number of high school (9-12) students enrolled in schools in buffer 1
stuuni_1 Real >=0 The number of university/college students enrolled in schools in buffer 1
empedu_1 Real >=0 The number of educational employees working in buffer 1
empfoo_1 Real >=0 The number of food service employees working in buffer 1
empgov_1 Real >=0 The number of government employees working in buffer 1
empind_1 Real >=0 The number of industrial employees working in buffer 1
empmed_1 Real >=0 The number of medical employees working in buffer 1
empofc_1 Real >=0 The number of (other) office employees working in buffer 1
empret_1 Real >=0 The number of retail employees working in buffer 1
empsvc_1 Real >=0 The number of (other) service employees working in buffer 1
empoth_1 Real >=0 The number of other sector employees working in buffer 1
emptot_1 Real >=0 The total number of employees working in buffer 1
parkdy_1 Real >=0 The number of paid public off-street parking spaces in buffer 1 with per-day pricing
parkhr_1 Real >=0 The number of paid public off-street parking spaces in buffer 1 with per-hour pricing
ppricdy1 Real >=0 The average price of public off-street parking spaces in buffer 1 with per-day pricing; in cents per day
pprichr1 Real >=0 The average price of public off-street parking spaces in buffer 1 with per-hour pricing; in cents per hour
nodes1_1 Real >=0 The number of intersections with 1 connecting link in buffer 1
nodes3_1 Real >=0 The number of intersections with 3 connecting links in buffer 1
nodes4_1 Real >=0 The number of intersections with 4 or more connecting links in buffer 1
tstops_1 Real >=0 The number of transit stops in buffer 1
nparks_1 Real >=0 The number of public open space areas in buffer 1
aparks_1 Real >=0 The average size of public open space areas in buffer 1 (in square length units)
hh_2 Real >=0 The number of households residing in buffer 2
stugrad_2 Real >=0 The number of grade school (K-8) students enrolled in schools in buffer 2
stuhgh_2 Real >=0 The number of high school (9-12) students enrolled in schools in buffer 2
stuuni_2 Real >=0 The number of university/college students enrolled in schools in buffer 2
empedu_2 Real >=0 The number of educational employees working in buffer 2
empfoo_2 Real >=0 The number of food service employees working in buffer 2
empgov_2 Real >=0 The number of government employees working in buffer 2
empind_2 Real >=0 The number of industrial employees working in buffer 2
empmed_2 Real >=0 The number of medical employees working in buffer 2
empofc_2 Real >=0 The number of (other) office employees working in buffer 2
empret_2 Real >=0 The number of retail employees working in buffer 2
empsvc_2 Real >=0 The number of (other) service employees working in buffer 2
empoth_2 Real >=0 The number of other sector employees working in buffer 2
emptot_2 Real >=0 The total number of employees working in buffer 2
parkdy_2 Real >=0 The number of paid public off-street parking spaces in buffer 2 with per-day pricing
parkhr_2 Real >=0 The number of paid public off-street parking spaces in buffer 2 with per-hour pricing
ppricdy2 Real >=0 The average price of public off-street parking spaces in buffer 2 with per-day pricing; in cents per day
pprichr2 Real >=0 The average price of public off-street parking spaces in buffer 2 with per-hour pricing; in cents per hour
nodes1_2 Real >=0 The number of intersections with 1 connecting link in buffer 2
nodes3_2 Real >=0 The number of intersections with 3 connecting links in buffer 2
nodes4_2 Real >=0 The number of intersections with 4 or more connecting links in buffer 2
tstops_2 Real >=0 The number of transit stops in buffer 2
nparks_2 Real >=0 The number of public open space areas in buffer 2
aparks_2 Real >=0 The average size of public open space areas in buffer 2 (in square length units)
dist_lbus Real >=0 The distance to the nearest local bus stop in miles (999 if no stops within 3 miles)
dist_ebus Real >=0 The distance to the nearest premium bus stop in miles (999 if no stops within 3 miles)
dist_crt Real >=0 The distance to the nearest commuter rail station in miles (999 if no stops within 3 miles)
dist_fry Real >=0 The distance to the nearest ferry terminal in miles (999 if no stops within 3 miles)
dist_lrt Real >=0 The distance to the nearest light rail stop in miles (999 if no stops within 3 miles)
dist_park Real >=0 The distance to the edge of the nearest public open space area (999 if no areas within 3 miles, or if no open space file supplied)

Relevant DaySim configuration parameters:

  • RawParcelPath (string file name and path)
  • RawParcelDelimiter (ASCII code, 9=tab, 32=space, 44=comma)
  • UseShortDistanceNodeToNodeMeasures (set True if node distance files are available)
  • UseShortDistanceCircuityMeasures (set True if circuity measures are available on the parcel file; the NodeToNodeMeasures setting takes precedence over this one)
  • MaximumBlendingDistance (the maximum distance, in miles, to which the short-distance measures are used to adjust zone-to-zone skim-based travel times)

Emme Attributes

The following attributes are available in each Emme time-of-day bank:

Attribute Definition
@sov_inc1 SOV Income Level 1 Link Volume
@sov_inc2 SOV Income Level 2 Link Volume
@sov_inc3 SOV Income Level 3 Link Volume
@hov2_inc1 HOV 2 Income Level 1 Link Volume
@hov2_inc2 HOV 2 Income Level 2 Link Volume
@hov3_inc3 HOV 2 Income Level 3 Link Volume
@hov3_inc1 HOV 3+ Income Level 1 Link Volume
@hov3_inc2 HOV 3+ Income Level 2 Link Volume
@hov3_inc3 HOV 3+ Income Level 3 Link Volume
@tnc_inc1 TNC Income Level 1 Link Volume
@tnc_inc2 TNC Income Level 2 Link Volume
@tnc_inc3 TNC Income Level 3 Link Volume
@medium_truck Medium Truck Link Volume (Auto-Equivalent)
@heavy_truck Heavy Truck Link Volume (Auto-Equivalent)
@trnv3 Transit Vehicles (Auto-Equivalent)
@mveh Medium Truck Vehicles (Actual)
@hveh Heavy Truck Vehicles (Actual)
@dveh Delivery Vehicle Volume (optional mode)
@vmt Total Vehicle Miles Traveled on Link
@vht Total Vehicle Hours Traveled on Link
@trnv Transit Vehicles (Auto-Equivalent) (duplicate, unused)
@ovol Observed Volume (may not be up-to-date)
@bveh Transit Vehicles (Actual)
@bkwt Bike Weights (Intermediary Calculation for Bike Model)
@bvol Bike Volumes on Link
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