leonardehrenfried

{
  "data": {
    "plan": {
      "itineraries": [
        {
          "duration": 4045,
          "legs": [
            {
              "mode": "WALK",
              "route": null,

leonardehrenfried

{
  "data": {
    "plan": {
      "itineraries": [
        {
          "duration": 4045,
          "legs": [
            {
              "mode": "WALK",
              "route": null,

leonardehrenfried

{
  "data": {
    "plan": {
      "itineraries": [
        {
          "duration": 4438,
          "legs": [
            {
              "mode": "WALK",
              "route": null,

leonardehrenfried

Uber product IDs

As of May 2023 Uber had the following product IDs in Portland:

• 6d5eb4b2-3c85-4ef3-854e-3219da0f0df3: Premier
• 1196d0dd-423b-4a81-a1d8-615367d3a365: UberX Share
• b6e63411-bf85-4bc7-aca2-bb2e53a20ba4: Comfort Electric
• a6eef2e1-c99a-436f-bde9-fefb9181c0b0: UberX
• 62037135-bd5a-43bf-bd77-d4558ffe2bf8: UberX Priority
• 0410f2a9-7019-405b-a5ff-d0c92c59339d: Comfort

leonardehrenfried

{
  "data": {
    "plan": {
      "itineraries": [
        {
          "duration": 2996,
          "legs": [
            {
              "mode": "WALK",
              "route": null,

leonardehrenfried

{
  "data": {
    "plan": {
      "itineraries": [
        {
          "duration": 4267,
          "legs": [
            {
              "mode": "WALK",
              "route": null,

leonardehrenfried

{
  "data": {
    "plan": {
      "itineraries": [
        {
          "duration": 2991,
          "legs": [
            {
              "mode": "WALK",
              "route": null,

leonardehrenfried

map.addSource('stops', {
  type: 'vector',
  url: "http://localhost:8080/otp/routers/default/vectorTiles/rentals/tilejson.json"
});

map.addLayer({
  "id": "stops",
  "type": "circle",
  "source": "stops",
  'source-layer': 'rentals',

leonardehrenfried

{
  "requestParameters": {
    "date": "10-07-2022",
    "mode": "TRANSIT,WALK",
    "arriveBy": "false",
    "wheelchair": "false",
    "debugItineraryFilter": "false",
    "showIntermediateStops": "true",
    "fromPlace": "39.87550069652387,-75.24672389030458",
    "toPlace": "39.968174500886306,-75.15369415283205",

leonardehrenfried

import csv
import random
import haversine as hs

file = open("stops.txt", "r")
data = list(csv.DictReader(file, delimiter=","))
file.close()

f = open('travel.csv', 'w')