{"id":265515,"date":"2017-01-25T09:10:33","date_gmt":"2017-01-25T13:10:33","guid":{"rendered":"http:\/\/spaceweekly.com\/?guid=dd647c1af41f4fc349d9508b361e209c"},"modified":"2017-01-25T09:10:33","modified_gmt":"2017-01-25T13:10:33","slug":"machine-learning-program-predicts-public-transport-use-in-singapore","status":"publish","type":"post","link":"https:\/\/spaceweekly.com\/?p=265515","title":{"rendered":"Machine-learning program predicts public transport use in Singapore\u00a0"},"content":{"rendered":"<p>From schools and shops to hospitals and hotels, a modern city is made of many different parts.  Urban planners must take account of where these services are located when designing efficient transit networks. A*STAR researchers have developed a machine-learning program to accurately recreate and predict public transport use, or &#8216;ridership&#8217;, based on the distribution of land-use and amenities in Singapore.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>From schools and shops to hospitals and hotels, a modern city is made of many different parts.  Urban planners must take account of where these services are located when designing efficient transit networks. A*STAR researchers have developed a machine-&#8230;<\/p>\n","protected":false},"author":0,"featured_media":615444,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-265515","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/265515","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=265515"}],"version-history":[{"count":1,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/265515\/revisions"}],"predecessor-version":[{"id":265516,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/265515\/revisions\/265516"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/media\/615444"}],"wp:attachment":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=265515"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=265515"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=265515"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}