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on Discrete Choice Models |
By: | Wang, Jingjing; Yue, Chengyan |
Keywords: | Environmental Economics and Policy |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:iaae21:315172&r= |
By: | Mohtashami, Toktam |
Keywords: | Crop Production/Industries |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:iaae21:315889&r= |
By: | Susana Mourato (London School of Economics); Ganga Shreedhar (London School of Economics) |
Abstract: | There is no guidance on how to deal with the effects of catastrophic events, like the COVID-19 pandemic, on stated preference survey responses, despite the possible impact such events can have on stated values and survey responses. This paper provides a concise analysis of the likely effects of extreme events on stated preference surveys, focusing on the validity and temporal stability of estimated values, and offers a set of recommendations. These recommendations can also be of use for designing other types of household and individual surveys, beyond economic valuation surveys. |
Keywords: | Catastrophic events, Choice experiment, Choice modelling, Contingent valuation, COVID-19, Extreme events, Guidelines, Nonmarket valuation, Questionnaire, Stated preference, Survey |
JEL: | C83 H41 Q51 |
Date: | 2021–12–01 |
URL: | http://d.repec.org/n?u=RePEc:oec:envaaa:187-en&r= |
By: | Feyaerts, Hendrik; Maertens, Miet |
Keywords: | Consumer/Household Economics, Crop Production/Industries |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:iaae21:315170&r= |
By: | Ogutu, Francis |
Keywords: | Agribusiness, Crop Production/Industries |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:iaae21:315896&r= |
By: | Ma, Wanglin; Zheng, Hongyun; Gong, Binlei |
Keywords: | Consumer/Household Economics |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:iaae21:314990&r= |
By: | Goyal, Rohit; Reiche, Colleen; Fernando, Chris; Cohen, Adam |
Abstract: | Advanced air mobility (AAM) is a broad concept enabling consumers access to on-demand air mobility, cargo and package delivery, healthcare applications, and emergency services through an integrated and connected multimodal transportation network. However, a number of challenges could impact AAM’s growth potential, such as autonomous flight, the availability of take-off and landing infrastructure (i.e., vertiports), integration into airspace and other modes of transportation, and competition with shared automated vehicles. This article discusses the results of a demand analysis examining the market potential of two potential AAM passenger markets—airport shuttles and air taxis. The airport shuttle market envisions AAM passenger service to, from, or between airports along fixed routes. The air taxi market envisions a more mature and scaled service that provides on-demand point-to-point passenger services throughout urban areas. Using a multi-method approach comprised of AAM travel demand modeling, Monte Carlo simulations, and constraint analysis, this study estimates that the air taxi and airport shuttle markets could capture a 0.5% mode share. The analysis concludes that AAM could replace non-discretionary trips greater than 45 min; however, demand for discretionary trips would be limited by consumer willingness to pay. This study concludes that AAM passenger services could have a daily demand of 82,000 passengers served by approximately 4000 four- to five-seat aircraft in the U.S., under the most conservative scenario, representing an annual market valuation of 2.5 billion USD. |
Keywords: | Social and Behavioral Sciences |
Date: | 2021–07–02 |
URL: | http://d.repec.org/n?u=RePEc:cdl:itsrrp:qt4b3998tw&r= |
By: | Kolapo, Adetomiwa; Tijani, Abiade Akeem |
Keywords: | Environmental Economics and Policy, Consumer/Household Economics |
Date: | 2021–08 |
URL: | http://d.repec.org/n?u=RePEc:ags:iaae21:314987&r= |