R/data-delivery.R

In spopt: Spatial Optimization for Regionalization, Facility Location, and Market Analysis

#' Delivery routing data for Fort Worth, TX
#'
#' Pre-computed delivery stop locations and travel-time matrix for a
#' route optimization scenario in western Tarrant and Parker counties, Texas.
#' The depot is an Amazon delivery station on San Jacinto Dr in Fort Worth,
#' with 25 residential delivery stops in Fort Worth, Benbrook, Aledo, and
#' Willow Park.
#'
#' @format A list with four elements:
#' \describe{
#'   \item{stops}{An sf object with 26 rows (1 depot + 25 delivery stops) and columns:
#'     \describe{
#'       \item{id}{Stop identifier ("depot", "D01", ..., "D25")}
#'       \item{address}{Street address}
#'       \item{packages}{Number of packages for delivery (0 for depot)}
#'     }
#'   }
#'   \item{matrix}{A 26x26 numeric matrix of driving travel times in minutes,
#'     computed with r5r using OpenStreetMap road network data. Row and column
#'     names correspond to stop IDs.}
#'   \item{tsp_route}{An sf LINESTRING object with road-snapped route geometries
#'     for the optimized single-vehicle tour, one row per leg.}
#'   \item{vrp_route}{An sf LINESTRING object with road-snapped route geometries
#'     for the optimized multi-vehicle solution, with a \code{vehicle} column
#'     indicating which van each leg belongs to.}
#' }
#'
#' @source Travel times computed with r5r v2.3 using OpenStreetMap data
#'   for Tarrant and Parker counties, Texas. Addresses geocoded with
#'   Nominatim via tidygeocoder.
"delivery_data"