<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gabriel Kreindler | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/gabriel-kreindler/</link><description>Gabriel Kreindler</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/gabriel-kreindler/index.xml" rel="self" type="application/rss+xml"/><item><title>Optimal Public Transportation Networks: Evidence from the World's Largest Bus Rapid Transit System in Jakarta</title><link>https://macropaperwarehouse.com/papers/optimal-public-transportation-networks-evidence-from-the-worlds-largest-bus-rapid-transit-system-in-jakarta/</link><guid>https://macropaperwarehouse.com/papers/optimal-public-transportation-networks-evidence-from-the-worlds-largest-bus-rapid-transit-system-in-jakarta/</guid><description>&lt;p&gt;This paper studies how commuter preferences over wait times, travel times, and transfers should shape the design of urban bus networks, using the world&amp;rsquo;s largest Bus Rapid Transit (BRT) system — TransJakarta in Jakarta, Indonesia — as the empirical laboratory. The setting provides unusually rich identification: between January 2016 and February 2020, TransJakarta launched 93 new BRT and non-BRT feeder routes in a staggered, city-wide expansion, during which the operating bus fleet more than doubled from roughly 700 to over 1,600 vehicles. The authors combine over 500 million smart-card tap records, GPS tracking of every bus at 5–10 second intervals, and anonymized smartphone location data covering 35 million weekday trips from 2.3 million devices.&lt;/p&gt;</description></item></channel></rss>