{"673637":{"#nid":"673637","#data":{"type":"event","title":"ISyE Seminar Speaker - Julia Yan","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETrading flexibility for adoption: From dynamic to static walking in ridesharing\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOn-demand ridesharing aims to fulfill riders\u0027 transportation needs whenever and wherever they want. \u0026nbsp;Although this service level appeals to riders, overall system efficiency can improve substantially if riders are willing to be flexible. Here, we explore riders\u0027 flexibility in space via walking to more accessible pickup locations. Ridesharing platforms have traditionally implemented dynamic walking to optimize rider pickup locations and rider-driver assignment jointly. \u0026nbsp;We propose an alternative that we call static walking, which presents a predetermined pickup location to the rider before optimizing rider-driver assignment. Although dynamic walking enables more efficient matching of riders and drivers, we hypothesize that riders prefer static walking because of the certainty of the pickup location before booking the ride. Using simulations on Lyft data, we show that static walking can capture up to 96% of the value of dynamic walking in congested urban networks at a fixed adoption rate. Furthermore, experimentation on Lyft\u0027s user interface suggests that providing riders with information on pickup location before an opt-in decision can increase walking adoption --- to the extent that static walking may outperform dynamic walking overall. More broadly, this study highlights the importance of carefully designing flexibility mechanisms on platforms: a little flexibility goes a long way, especially when flexibility presents a barrier to adoption.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJulia Yan is an Assistant Professor in the Operations and Logistics division at UBC\u2019s Sauder School of Business. Her interests are in applied optimization problems in urban mobility, and more broadly to problems of societal interest. Prior to joining UBC, she received her PhD from MIT and her AB from Princeton University; she also spent one year as a postdoctoral research fellow at Lyft\u0027s Rideshare Labs.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EOn-demand ridesharing aims to fulfill riders\u0027 transportation needs whenever and wherever they want. \u0026nbsp;Although this service level appeals to riders, overall system efficiency can improve substantially if riders are willing to be flexible. Here, we explore riders\u0027 flexibility in space via walking to more accessible pickup locations. Ridesharing platforms have traditionally implemented dynamic walking to optimize rider pickup locations and rider-driver assignment jointly. \u0026nbsp;We propose an alternative that we call static walking, which presents a predetermined pickup location to the rider before optimizing rider-driver assignment. Although dynamic walking enables more efficient matching of riders and drivers, we hypothesize that riders prefer static walking because of the certainty of the pickup location before booking the ride. Using simulations on Lyft data, we show that static walking can capture up to 96% of the value of dynamic walking in congested urban networks at a fixed adoption rate. Furthermore, experimentation on Lyft\u0027s user interface suggests that providing riders with information on pickup location before an opt-in decision can increase walking adoption --- to the extent that static walking may outperform dynamic walking overall. More broadly, this study highlights the importance of carefully designing flexibility mechanisms on platforms: a little flexibility goes a long way, especially when flexibility presents a barrier to adoption.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Trading flexibility for adoption: From dynamic to static walking in ridesharing"}],"uid":"36374","created_gmt":"2024-03-21 03:34:32","changed_gmt":"2024-03-21 03:34:31","author":"mwelch39","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-29T11:30:00-04:00","event_time_end":"2024-03-29T12:30:00-04:00","event_time_end_last":"2024-03-29T12:30:00-04:00","gmt_time_start":"2024-03-29 15:30:00","gmt_time_end":"2024-03-29 16:30:00","gmt_time_end_last":"2024-03-29 16:30:00","rrule":null,"timezone":"America\/New_York"},"location":" ISYE Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}