From 24ab1005e4c2ba99e3a0443468004e82dd9d9b8f Mon Sep 17 00:00:00 2001 From: Michael Wehrmeyer Date: Tue, 12 Nov 2024 12:39:16 -0800 Subject: [PATCH] (wiki) introduce documentation on external aggregate models --- docs/design/demand/external.md | 41 ++++++++++++++++-- .../external_external_county_cordons.png | Bin 0 -> 181723 bytes 2 files changed, 38 insertions(+), 3 deletions(-) create mode 100644 docs/images/design/external_external_county_cordons.png diff --git a/docs/design/demand/external.md b/docs/design/demand/external.md index 48cc63a22..ef40e084c 100644 --- a/docs/design/demand/external.md +++ b/docs/design/demand/external.md @@ -1,7 +1,42 @@ # External Models +The external aggregate travel models predict characteristics of US-SD and SD-US/MX travel behavior for all non-commercial, non-visitor vehicle trips and selected transit trips. Note that non-commercial MX-SD trips are forecast in the crossborder model, and non-commercial SD-US and SD-MX trips are forecast in the resident model. -Details aggregate external models. +![](../../images/design/external_external_county_cordons.png) -## External Internal Model +## External Model Estimation of Trip Counts by Type +The total count of trips by production and attraction location was estimated in a series of steps: -## External External Model \ No newline at end of file +1. The number of crossborder trips made by Mexican residents to attractions in San Diego was previously determined. +2. The trips in the resident travel survey were expanded to estimate the total number of trips made by San Diego residents to attractions in Mexico. +3. To derive an estimate of the number of US-MX trips, the number of MX-SD (1) and SD-MX (2) trips was subtracted from the total number of border-crossings. + * The distribution of US-MX trips among external stations on the US-side of San Diego County will be assumed to be proportional to the total volume at each external station, regardless of the point of entry at the Mexican border. +4. The number of US-MX trips was then subtracted from the total number of trips in the SCAG cordon survey to arrive at an estimate of the combined total of US-US, US-SD, and SD-US trips with routes through San Diego County. +5. Finally, the actual amounts of US-US, US-SD, and SD-US trips at each external station were estimated from the remaining trips (4) according to their proportions in the successfully geocoded responses in the SCAG cordon survey. + +## External Model Design Overview +The behavioral characteristics of the different types of external trip were derived from the various data sources available as follows: + +* US-US trips: a fixed external station OD trip matrix was estimated from the SCAG cordon survey. + * */src/main/emme/toolbox/model/external_external.py* +* US-MX trips: a fixed external station OD trip matrix was estimated from the SCAG cordon survey, Customs and Border Protection vehicle counts, and Mexican resident border-crossing survey as described in the previous section. + * */src/main/emme/toolbox/model/external_external.py* +* US-SD trips: rates of vehicle trips per household for each external county were developed from the SCAG cordon survey, and the trips were distributed to locations in San Diego County according to a destination choice model estimated from the interregional survey. + * Intermediate stops and transit trips are not modeled in this segment due to the small contribution of these events to the total demand in the segment. + * */src/main/emme/toolbox/model/external_internal.py* + +### External-Internal Destination Choice Model +The external-internal destination choice model distributes the EI trips to destinations within San Diego County. The EI destination choice model explanatory variables are: + +* Distance +* The size of each sampled MGRA + +Diurnal and vehicle occupancy factors are then applied to the total daily trip tables to distribute the trips among shared ride modes and different times of day. + +### External-Internal Toll Choice Model +The trips are then split among toll and non-toll paths according to a simplified toll choice model. The toll choice model included the following explanatory variables: + +* In-vehicle-time +* Toll cost + +## Sources +information primarily taken from this SANDAG document: [link to pdf](https://www.sandag.org/-/media/SANDAG/Documents/PDF/data-and-research/applied-research-and-performance-monitoring/surveys/appendix-t-SANDAG-travel-demand-model-documentation.pdf) \ No newline at end of file diff --git a/docs/images/design/external_external_county_cordons.png b/docs/images/design/external_external_county_cordons.png new file mode 100644 index 0000000000000000000000000000000000000000..419af6a3d7742741ce2030166a2db2c2196c692c GIT binary patch literal 181723 zcmYJaby$?o_dZT{3P^{dgs8M2wS)qSlprafBGL_#%hDi7NeKc=cZW1fBi*dz(#_KB zE^K`9_5S>>-ygek&2wGP?97>S=DzPUXTRxasZmp~QQ+a>QNL1u@fHt{fCLW@zk=-c z8_$udjqbL=cYmvlukuB$s4pJkbujW2XD~yft`v z%milMI-5jALC2#Qh=)%=Bog{);9pDj??E8T|5`l!ulIIelhJ)3a@(sXX>D2Z>De5F 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