{"id":"W4318823778","doi":"10.2139/ssrn.3610517","title":"Real-Time Spatial-Intertemporal Pricing and Relocation in a Ride-Hailing Network: Near-Optimal Policies and The Value of Dynamic Pricing","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Relocation; Dynamic pricing; Value of time; Value (mathematics); Economics; Microeconomics; Hedonic pricing; Business; Econometrics; Travel time; Computer science; Engineering; Transport engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003134401,0.0009684542,0.002122427,0.001348352,0.001089751,0.004377232,0.002881792,0.003205109,0.00765988],"category_scores_gemma":[0.01923706,0.00116476,0.0009110516,0.002011297,0.002491668,0.007428995,0.0018326,0.002454726,0.0003974089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003364132,"about_ca_system_score_gemma":0.001930044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009005049,"about_ca_topic_score_gemma":0.006476393,"domain_scores_codex":[0.9985404,0.0008383554,0.00004575288,0.0002054934,0.00008469039,0.0002853831],"domain_scores_gemma":[0.9897556,0.007720836,0.000954465,0.0003413559,0.0005481436,0.0006795081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002817303,0.0001212344,0.0009770326,0.00007469995,0.00004658577,0.0001517786,0.00009355554,0.8765912,0.0004122053,0.1129833,0.001212374,0.007054356],"study_design_scores_gemma":[0.0000235362,0.00004526949,0.0003031228,0.00001652837,0.00002178759,0.00004169849,0.0001487115,0.9123907,0.0001343071,0.08640449,0.0004474395,0.00002227923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5375791,0.001644067,0.4300752,0.004750391,0.0002433223,0.0001672113,0.0005471849,0.0002369111,0.02475667],"genre_scores_gemma":[0.9851806,0.0005849063,0.008671072,0.00007811798,0.00004959263,0.00003373377,0.00006947832,0.00004567798,0.005286801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009005049,"threshold_uncertainty_score":0.02562487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004375197540327816,"score_gpt":0.2109342230850272,"score_spread":0.2065590255446994,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}