{"id":15346,"date":"2022-03-26T12:32:35","date_gmt":"2022-03-26T16:32:35","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-digit\/?post_type=hck-submission&p=15346"},"modified":"2022-03-26T13:27:41","modified_gmt":"2022-03-26T17:27:41","slug":"transit-ing-big-data","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-digit\/submission\/transit-ing-big-data\/","title":{"rendered":"Transit-ing Big Data"},"content":{"rendered":"\n\n\n

Overview<\/strong><\/p>\n\n\n\n

The Transit app has been chugging along for a decade, but in a crowded marketplace and low barrier to switching, how has the company differentiated itself from its competitors? One of the key strategy areas has been to partner with transit agencies to improve the app.<\/p>\n\n\n\n

The Transit app\u2019s interface offers users a screenshot of nearby lines and a search box for directions. Once the user has entered a location, Transit offers users the most efficient way to travel somewhere using transit, ride share, or cycling\/scooter services and most importantly also offers a combination of different modes – multimodal transportation. <\/p>\n\n\n\n

Value Creation<\/strong><\/p>\n\n\n\n

By partnering with transit agencies, ride-sharing apps, bicycle\/scooter services and being user-focussed, Transit has managed to capture various data to provide insights on different types of transportation and using historical data to help project future demand. Some of these data include:<\/p>\n\n\n\n

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Various data that Transit app captures and is able to provide transit agencies with<\/a>. <\/figcaption><\/figure>\n\n\n\n

Additional data include weather, time of day, week, and year – which was especially relevant to measure various public health safety measures and their effects on public transit use during the COVID-19 pandemic.<\/p>\n\n\n\n

Using rider-generated data, Transit has partnered with Transit agencies to improve their services by providing insights into:<\/p>\n\n\n\n