1.0CGIAR Platform for Big Data in Agriculturehttps://bigdata.cgiar.orgrich600338<blockquote class="wp-embedded-content" data-secret="QXds48iuiQ"><a href="https://bigdata.cgiar.org/rss-article/travel-time-to-cities-and-ports-2015/">Travel Time to Cities and Ports 2015</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://bigdata.cgiar.org/rss-article/travel-time-to-cities-and-ports-2015/embed/#?secret=QXds48iuiQ" width="600" height="338" title="“Travel Time to Cities and Ports 2015” — CGIAR Platform for Big Data in Agriculture" data-secret="QXds48iuiQ" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript"> /*! This file is auto-generated */ !function(c,l){"use strict";var e=!1,o=!1;if(l.querySelector)if(c.addEventListener)e=!0;if(c.wp=c.wp||{},c.wp.receiveEmbedMessage);else if(c.wp.receiveEmbedMessage=function(e){var t=e.data;if(!t);else if(!(t.secret||t.message||t.value));else if(/[^a-zA-Z0-9]/.test(t.secret));else{for(var r,s,a,i=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),n=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),o=0;o<n.length;o++)n[o].style.display="none";for(o=0;o<i.length;o++)if(r=i[o],e.source!==r.contentWindow);else{if(r.removeAttribute("style"),"height"===t.message){if(1e3<(s=parseInt(t.value,10)))s=1e3;else if(~~s<200)s=200;r.height=s}if("link"===t.message)if(s=l.createElement("a"),a=l.createElement("a"),s.href=r.getAttribute("src"),a.href=t.value,a.host===s.host)if(l.activeElement===r)c.top.location.href=t.value}}},e)c.addEventListener("message",c.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",t,!1),c.addEventListener("load",t,!1);function t(){if(o);else{o=!0;for(var e,t,r,s=-1!==navigator.appVersion.indexOf("MSIE 10"),a=!!navigator.userAgent.match(/Trident.*rv:11\./),i=l.querySelectorAll("iframe.wp-embedded-content"),n=0;n<i.length;n++){if(!(r=(t=i[n]).getAttribute("data-secret")))r=Math.random().toString(36).substr(2,10),t.src+="#?secret="+r,t.setAttribute("data-secret",r);if(s||a)(e=t.cloneNode(!0)).removeAttribute("security"),t.parentNode.replaceChild(e,t);t.contentWindow.postMessage({message:"ready",secret:r},"*")}}}}(window,document); </script> https://bigdata.cgiar.org/wp-content/uploads/2019/01/travel_time_to_ports_5.jpg660230Building on the previously published accessibility analysis, whose travel time was estimated to an arbitrary target (i.e., cities of 50,000 or more people), this new dataset provides multiple accessibility data layers generated with a range of targets, 12 types of cities and 5 types of ports, identified as significant by the geospatial community in CGIAR.