diff --git a/Makefile b/Makefile index 6bcd32b..541b474 100644 --- a/Makefile +++ b/Makefile @@ -1,6 +1,9 @@ -route_analysis: route_analysis.Rmd +walk: route_analysis.Rmd R -e 'library("rmarkdown"); old_path <- Sys.getenv("PATH"); Sys.setenv(PATH = paste(old_path, "/usr/local/bin", sep = ":")); rmarkdown::render(knit_root_dir = "./", output_dir = "./html", input = "./route_analysis.Rmd", output_file = "./html/route_analysis.html")' +cycle: cycling_route_analysis.Rmd + R -e 'library("rmarkdown"); old_path <- Sys.getenv("PATH"); Sys.setenv(PATH = paste(old_path, "/usr/local/bin", sep = ":")); rmarkdown::render(knit_root_dir = "./", output_dir = "./html", input = "./cycling_route_analysis.Rmd", output_file = "./html/cycling_route_analysis.html")' + clean: clean-data clean-figure clean-script clean-data: diff --git a/cycling_route_analysis.Rmd b/cycling_route_analysis.Rmd new file mode 100644 index 0000000..d11f1e9 --- /dev/null +++ b/cycling_route_analysis.Rmd @@ -0,0 +1,309 @@ +--- +title: "East High Active Travel" +output: + html_document: + toc: true + toc_depth: 5 + toc_float: + collapsed: false + smooth_scroll: true +editor_options: + chunk_output_type: console +--- + +# Input Data & Configuration + +## Libraries + +```{r libs, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} +date() +rm(list=ls()) +library(tidyverse) +library(ggmap) +library(sf) +library(osrm) +library(smoothr) +library(magick) +library(ggnewscale) +library(rsvg) +fig.height <- 6 +set.seed(1) +``` + +## School Location Data + +```{r gpkg, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} +WI_schools <- st_transform(st_read(dsn = "data/Schools/Wisconsin_Public_Schools_-5986231931870160084.gpkg"), crs = 4326) +WI_schools <- WI_schools %>% mutate(geom = SHAPE) +``` + +## Addresses Data + +```{r addresses, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} +addresses <- read_csv(file="data/addresses/Addresses_Students_EastHS_2024_GeocodeResults.csv") %>% + filter(lat > 0) %>% + st_as_sf(coords=c("lon","lat"), crs=4326) +``` +(Remember that x = lon and y = lat.) + +## Bike Level of Traffic Stress (LTS) + +```{r bikelts, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} +bike_lts <- st_read("data/bike_lts/bike_lts_DANE.geojson") +# make lts attribute a factor +bike_lts[["lts"]] <- as.factor(bike_lts$LTS_F) +# remove segments with an LTS value of 9 +bike_lts <- bike_lts %>% filter(lts != 9) + +# set color scale +bike_lts_scale <- data.frame(code = c(1, 2, 3, 4, 9), + color = c("#1a9641", + "#a6d96a", + "#fdae61", + "#d7191c", + "#d7191c")) +``` + +# External sources configurations + +## Open Source Routing Machine (OSRM) + +```{r osrm, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} +options(osrm.server = "http://127.0.0.1:5000/") +options(osrm.profile = "bike") +``` + +## Stadia Maps API Key + +```{r stadiamaps, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} +register_stadiamaps(key = substr(read_file(file = "api_keys/stadia_api_key"), 1, 36)) +``` +# Analysis + +## Subset Addresses Within 3 Miles + +```{r cycleBoundary, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} + +radius <- 3 # miles + +cycle_boundary_m <- radius*1609 +school_focus <- data.frame(name = c("East High School"), NCES_CODE = c("550852000925")) + +cycle_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance( + loc = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), + breaks = c(cycle_boundary_m), + res = 80) +), units::set_units(1, km^2)) + +addresses_near <- st_intersection(addresses, cycle_boundary_poly) +``` + +## Calculate Routes + +```{r routes, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} +routes <- list(NULL) + +for(i in addresses_near$number) { + routes[[i]] <- osrmRoute( + src = addresses_near %>% filter(number == i), + dst = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE)) + message(paste0("done - ", i, "of", max(addresses_near$number))) +} + + +routes <- bind_rows(routes) +``` + + +## Combine routes with Bike LTS +```{r routeslts, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} + +# Count the routes that intersect or overlap with each segment of the bike_tls network. +# The intersections have a buffer of 20m +bike_lts_buffer <- st_buffer(st_intersection(bike_lts, cycle_boundary_poly), 20) + +bike_lts_buffer["student_use"] <- unlist(lapply(st_intersects(bike_lts_buffer, routes), length)) + +bike_lts <- st_join(bike_lts, bike_lts_buffer %>% select(OBJECTID, student_use)) +``` + +# Make Maps + + +## Load school and Bike Fed logo +```{r logos, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} +# load logo +logo <- image_read(path = "other/BFW_Logo_180_x_200_transparent_background.png") +school_symbol <- image_read_svg(path = "other/school_FILL0_wght400_GRAD0_opsz24.svg") +``` + +## Set boundaries and get basemap +```{r basemap, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} + +bbox <- st_bbox(st_buffer(cycle_boundary_poly, dist = 500)) +bbox <- c(left = as.double(bbox[1]), + bottom = as.double(bbox[2]), + right = as.double(bbox[3]), + top = as.double(bbox[4])) + +#get basemap +basemap <- get_stadiamap(bbox = bbox, zoom = 15, maptype = "stamen_toner_lite") +``` + +## Generate map of addresses +```{r mapaddresses, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} + +ggmap(basemap) + + labs(title = paste0("Student homes at ", + school_focus %>% pull(name)), + x = NULL, + y = NULL, + color = NULL, + fill = "How many students live there") + + theme(axis.text=element_blank(), + axis.ticks=element_blank(), + plot.caption = element_text(color = "grey")) + + geom_hex(data = addresses %>% extract(geometry, into = c('Lat', 'Lon'), '\\((.*),(.*)\\)', conv = T), + aes(x = Lat, + y = Lon), + alpha = 0.7) + + scale_fill_distiller(palette = "YlOrRd", direction = "reverse") + + geom_sf(data = cycle_boundary_poly, + inherit.aes = FALSE, + aes(color = paste0(radius, " mile cycling boundary")), + fill = NA, + linewidth = 1) + + scale_color_manual(values = "blue", name = NULL) + + new_scale_color() + + annotation_raster(school_symbol, + # Position adjustments here using plot_box$max/min/range + ymin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] - 0.001, + ymax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] + 0.001, + xmin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] - 0.0015, + xmax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] + 0.0015) + + geom_sf_label(data = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), + inherit.aes = FALSE, + mapping = aes(label = school_focus %>% pull(name)), + nudge_y = 0.0015, + label.size = 0.04, + size = 2) +ggsave(file = paste0("figures/", + school_focus %>% pull(name), + " Addresses_cycling.pdf"), + title = paste0(school_focus %>% pull(name), " Addresses"), + device = pdf, + height = 8.5, + width = 11, + units = "in", + create.dir = TRUE) +``` + +## Generate map of routes +```{r maproutes, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} +# generate map +ggmap(basemap) + + labs(title = paste0("Cycling routes for students at ", + school_focus %>% pull(name)), + subtitle = "only showing routes within the ??? mile cycling boundary", + x = NULL, + y = NULL, + color = NULL, + linewidth = "Potential student cyclists") + + theme(axis.text=element_blank(), + axis.ticks=element_blank(), + plot.caption = element_text(color = "grey")) + + geom_sf(data = cycle_boundary_poly, + inherit.aes = FALSE, + aes(color = paste0(radius, " mile cycling boundary")), + fill = NA, + linewidth = 1) + + scale_color_manual(values = "blue", name = NULL) + + new_scale_color() + + geom_sf(data = bike_lts %>% filter(!is.na(student_use), student_use > 3), + inherit.aes = FALSE, + aes(linewidth = student_use), + color = "mediumvioletred", + fill = NA) + + scale_linewidth_continuous(range = c(0, 3)) + + annotation_raster(school_symbol, + # Position adjustments here using plot_box$max/min/range + ymin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] - 0.001, + ymax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] + 0.001, + xmin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] - 0.0015, + xmax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] + 0.0015) + + geom_sf_label(data = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), + inherit.aes = FALSE, + mapping = aes(label = school_focus %>% pull(name)), + nudge_y = 0.0015, + label.size = 0.04, + size = 2) + +ggsave(file = paste0("figures/", + school_focus %>% pull(name), + " Routes_cycling.pdf"), + title = paste0(school_focus %>% pull(name), " Cycling Routes"), + device = pdf, + height = 8.5, + width = 11, + units = "in", + create.dir = TRUE) +``` + +## Generate map of routes with LTS +```{r maprouteslts, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} +# generate map +ggmap(basemap) + + labs(title = paste0("Cycling routes for students at ", + school_focus %>% pull(name)), + subtitle = "only showing routes within the cycling boundary", + x = NULL, + y = NULL, + color = NULL, + linewidth = "Potential student cyclists") + + theme(axis.text=element_blank(), + axis.ticks=element_blank(), + plot.caption = element_text(color = "grey")) + + geom_sf(data = cycle_boundary_poly, + inherit.aes = FALSE, + aes(color = paste0(radius, " mile cycling boundary")), + fill = NA, + linewidth = 1) + + scale_color_manual(values = "blue", name = NULL) + + new_scale_color() + + geom_sf(data = bike_lts %>% filter(!is.na(student_use), student_use > 0), + inherit.aes = FALSE, + aes(color = lts, + linewidth = student_use)) + + scale_color_manual(values = bike_lts_scale$color, name = "Bike Level of Traffic Stress") + + scale_linewidth_continuous(range = c(0, 3)) + + annotation_raster(school_symbol, + # Position adjustments here using plot_box$max/min/range + ymin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] - 0.001, + ymax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] + 0.001, + xmin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] - 0.0015, + xmax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] + 0.0015) + + geom_sf_label(data = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), + inherit.aes = FALSE, + mapping = aes(label = school_focus %>% pull(name)), + nudge_y = 0.0015, + label.size = 0.04, + size = 2) + +ggsave(file = paste0("figures/", + school_focus %>% pull(name), + " Routes - Traffic Stress_cycling.pdf"), + title = paste0(school_focus %>% pull(name), " Cycling Routes - Traffic Stress"), + device = pdf, + height = 8.5, + width = 11, + units = "in", + create.dir = TRUE) + +``` + +# Appendix + +```{r chunklast, eval = TRUE, echo = TRUE, results = "show", warning = TRUE, error = TRUE, message = TRUE} +date() +sessionInfo() +```