Temporal Reliability of Contingent Behavior Trip Data in Kuhn-Tucker Recreation Demand Models

IF 1.3 4区 经济学 Q3 ECONOMICS
Lusi Xie, W. Adamowicz
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引用次数: 0

Abstract

Contingent behavior (CB) trip data, eliciting intended trip decisions with hypothetical scenarios, has been popular in recreation demand models. Unlike other stated preference methods, the temporal reliability of CB data has not been examined in recreation demand models, especially in a Kuhn-Tucker (KT) framework. This article assesses the temporal reliability of CB trip data collected over three years in KT models. We find that coefficient and welfare estimates are largely reliable over time. Our findings add confidence in using CB trip data to model demands within and beyond recreation contexts and provide insight into the broader application of KT models.
Kuhn-Tucker娱乐需求模型中偶然行为出行数据的时间可靠性
偶然行为(CB)旅行数据,在假设情景下引出预期的旅行决策,在娱乐需求模型中很受欢迎。与其他既定偏好方法不同,CB数据的时间可靠性尚未在娱乐需求模型中得到检验,特别是在Kuhn-Tucker (KT)框架中。本文评估了在KT模型中收集的三年CB行程数据的时间可靠性。我们发现随着时间的推移,系数和福利估计在很大程度上是可靠的。我们的研究结果增加了使用CB旅行数据来模拟娱乐环境内外需求的信心,并为KT模型的更广泛应用提供了见解。
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来源期刊
Land Economics
Land Economics Multiple-
CiteScore
2.60
自引率
0.00%
发文量
22
期刊介绍: Land Economics is dedicated to the study of land use, natural resources, public utilities, housing, and urban land issues. Established in 1925 by the renowned economist and founder of the American Economic Association, Richard T. Ely at the University of Wisconsin, Land Economics has consistently published innovative, conceptual, and empirical research of direct relevance to economists. Each issue brings the latest results in international applied research on such topics as transportation, energy, urban and rural land use, housing, environmental quality, public utilities, and natural resources.
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