Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Fanyin Zheng"'
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb5c1f1152c94e79101afb31653337b1
https://doi.org/10.2139/ssrn.4451693
https://doi.org/10.2139/ssrn.4451693
Publikováno v:
Management Science. 67:1392-1412
We study customer preference for the bike-share system in the city of London. We estimate a structural demand model on the station network to learn the preference parameters and use the estimated model to provide insights on the design and expansion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65f2eb31f12bb1f006004b3baef1a3cd
https://doi.org/10.1287/mnsc.2020.3620
https://doi.org/10.1287/mnsc.2020.3620
Publikováno v:
Springer Proceedings in Business and Economics ISBN: 9783030751654
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6daabb45cdce5c08fc6a98afbd0d828
https://doi.org/10.1007/978-3-030-75166-1_2
https://doi.org/10.1007/978-3-030-75166-1_2
Publikováno v:
SSRN Electronic Journal.
Service systems’ behavior can be affected by multiple factors. In the case of intensive care units (ICUs), which admit patients from four primary loci (the emergency department (ED), scheduled patients, planned transfers from other ICUs, and unplan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d088eaf075f49449ae667c73a306f699
https://doi.org/10.2139/ssrn.3564776
https://doi.org/10.2139/ssrn.3564776
Publikováno v:
SSRN Electronic Journal.
Random coefficient multinomial logit models (Berry et al. 1995) are widely used to estimate customer preferences from sales data. However, these estimation models can only allow for products with positive sales; this selection leads to highly biased
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b9d886df761048aa1cab5ada055711b
https://doi.org/10.2139/ssrn.3702093
https://doi.org/10.2139/ssrn.3702093
Publikováno v:
SSRN Electronic Journal.
Large cities around the globe are facing an alarming growth in traffic congestion, to which a significant contributor are the private cabs operated by ride-hailing platforms. Pooled transportation options such as shuttle services are cheaper and gree
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87585dc4b07dc9f21d34e5a44186b959
https://doi.org/10.2139/ssrn.3701056
https://doi.org/10.2139/ssrn.3701056
Publikováno v:
SSRN Electronic Journal.
Because a hospital is an interconnected, interdependent network of care units, allocating resources--beds, nurses, and improvement initiatives--to one unit to reduce its congestion and improve its performance may have spillover effects on other units
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bae6c10556fda017bafe62c011e3e84d
https://doi.org/10.2139/ssrn.3667970
https://doi.org/10.2139/ssrn.3667970
Publikováno v:
EC
Problem definition: Motivated by our collaboration with an online dating company, we study how a platform should dynamically select the set of potential partners to show to each user in each period in order to maximize the expected number of matches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ade1d904349ddee5366a6ea5fa9ac61
https://doi.org/10.2139/ssrn.3698751
https://doi.org/10.2139/ssrn.3698751
Publikováno v:
SSRN Electronic Journal.
We study customer preference for the bike share system in the city of London. We estimate a structural demand model on the station network to learn the preference parameters and use the estimated model to provide insights on the design and expansion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b84ed02f4890b42820ce160d16598a9
https://doi.org/10.2139/ssrn.3121791
https://doi.org/10.2139/ssrn.3121791
Autor:
Kimon Drakopoulos, Fanyin Zheng
Publikováno v:
SSRN Electronic Journal.
In this paper, we study the problem of identifying network effects in contagion processes and present an application to the propagation of influenza in the United States. In particular, using data on the evolution of infections over time, the travel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b5b375ad77c61fa55dc19eb5fc6fb7f
https://doi.org/10.2139/ssrn.3091313
https://doi.org/10.2139/ssrn.3091313