README.md

In soukhova/AccessPack: Spatial Availability Function and Sample Datasets including Real-World 2016 TTS Data and Trips To Work Hypothetical Toy Data

A Data Package to Accompany “Spatial Availability Measure”

This repository contains working files for a data-package to accompany the newly proposed proportionally allocated accessibility measure referred to as spatial availability. This measure is within the family of transport planning accessibility measures. This data-package is used in the Spatial Availability Measure manuscript here (currently a work in progress).

All files are still a collaborative work in process. Contributors: Anastasia Soukhov, Antonio Paez, Chris Higgins, and Moataz Mohamed.

This data-package, includes toy data, empirical data, the proposed spatial availability function (sp_avail), and developed vignettes demonstrating an analysis and comparison of conventional accessibility and spatial availability.

What empirical data is included?

The 2016 Transportation Tomorrow Survey (TTS) data for the the Greater Golden Horseshoe (GGH) area in the province of Ontario, Canada (43.6°N 79.73°W) is included; specifically the location of origins and destinations defined by Traffic Analysis Zones (TAZ), the number of jobs and workers at each origin and destination, and the trips from origin to destination for the morning home-to-work commute. Also included are calculated travel times by car (calculated via r5r) and a derived impedance function values corresponding to the cost of travel based on the trip length distribution.

Setup

Installation:

if (!require("remotes", character.only = TRUE)) {
      install.packages("remotes")
  }
remotes::install_github("soukhova/AccessPack",
                        build_vignettes = TRUE)

Libraries:

library(AccessPack)
library(tidyverse)
library(ggplot2)
library(kableExtra)
library(patchwork)

Toy Data Overview

This data is hypothetical and created to explain the spatial availability measure in the first vignette. See the location and number of opportunities of employment centers and population centers in the plot below:

Below is a sample of the OD table (Employment Center 1) for the theoretical toy data:

Origin Destination Population Jobs distance catchments trips Population 1 Employment Center 1 260 750 2548.060 1 88 Population 2 Employment Center 1 255 750 1314.074 1 591 Population 3 Employment Center 1 510 750 3374.923 0 24 Population 4 Employment Center 1 495 750 2170.200 0 157 Population 5 Employment Center 1 1020 750 5111.631 0 2 Population 6 Employment Center 1 490 750 6881.320 0 1 Population 7 Employment Center 1 980 750 4846.602 0 3 Population 8 Employment Center 1 260 750 5302.901 0 1 Population 9 Employment Center 1 255 750 7770.661 0 0

TTS 2016 Data Overview

The accessibility and spatial availability of this TTS 2016 data is analysed in the second vignette. See the plot below for the spatial visualization of the number of workers and jobs within each TAZ:

Sample of TTS 2016 OD data (OD pairs with 2 trips):

Origin Destination trips travel_time 3640 3718 2 24 3640 3849 2 20 3640 3866 2 20 3879 3877 2 8 3879 4003 2 17 3879 4007 2 18 3879 63 2 24 8417 3152 2 43 8417 3707 2 62 8417 3816 2 65 8417 55 2 82 8417 8415 2 43

Summary statistics of TTS 2016 OD data, where trips are the number of journeys from origin to destination, calculated travel_time by car, and f is the impedance value:

Origin Destination trips travel_time Length:103076 Length:103076 Min. : 1 Min. : 0 Class :character Class :character 1st Qu.: 14 1st Qu.: 13 Mode :character Mode :character Median : 22 Median : 20 NA NA Mean : 33 Mean : 23 NA NA 3rd Qu.: 38 3rd Qu.: 30 NA NA Max. :1129 Max. :179 NA NA NA NA’s :3507

See .Rmd in the \data-raw folder for additional details on how the datasets were compiled. See the vignettes for detailed examples using the datasets and comparing comparison of the conventional accessibility and spatial availability (function sp_avail) measures.

soukhova/AccessPack documentation built on March 20, 2022, 6:23 p.m.