The Spatial Limits of the Travel Cost Recreational Demand Model

1980 ◽  
Vol 56 (1) ◽  
pp. 64 ◽  
Author(s):  
V. Kerry Smith ◽  
Raymond J. Kopp
Keyword(s):  
Travel Cost ◽  
Demand Model ◽  
Recreational Demand

Time and the Recreational Demand Model

1987 ◽  
Vol 69 (2) ◽  
pp. 293-302 ◽  
Author(s):  
Nancy E. Bockstael ◽  
Ivar E. Strand ◽  
W. Michael Hanemann
Keyword(s):  
Demand Model ◽  
Recreational Demand

scholarly journals Conjoint Analysis of Deer Hunting

1990 ◽  
Vol 19 (2) ◽  
pp. 109-117 ◽  
Author(s):  
John Mackenzie
Keyword(s):  
Willingness To Pay ◽  
Travel Time ◽  
Conjoint Analysis ◽  
Opportunity Cost ◽  
Travel Cost ◽  
Cost Analyses ◽  
Deer Hunting ◽  
Hunting Success ◽  
Trade Offs ◽  
Recreational Demand

This paper develops a logit-based conjoint analysis of willingness to pay for individual attributes of deer-hunting trips. Since deer-hunting success is uncertain, willingness to pay for enhanced likelihood of bagging a deer, rather than for certain success, is evaluated. Implicit costs of recreational travel time are also evaluated from hypothetical trade-offs between travel time and trip expenditures. The valuation of travel time derived here appears to reflect more the opportunity cost of foregone hunting than the opportunity cost of foregone work. This implies that travel-cost analyses of recreational demand, which impute costs of recreational travel solely from wage data, can yield biased valuations of recreational amenities.

scholarly journals Testing Significance of Multi-Destination and Multi-Purpose Trip Effects in a Travel Cost Method Demand Model for Whale Watching Trips

2000 ◽  
Vol 29 (2) ◽  
pp. 183-191 ◽  
Author(s):  
John Loomis ◽  
Shizuka Yorizane ◽  
Douglas Larson
Keyword(s):  
Willingness To Pay ◽  
Count Data ◽  
Cost Model ◽  
Consumer Surplus ◽  
Travel Cost ◽  
Travel Cost Method ◽  
Demand Model ◽  
Generalized Model ◽  
Travel Cost Model ◽  
Recreation Site

Inclusion of multi-destination and multi-purpose visitors has an appreciable influence on a standard count data travel cost model derived estimate of willingness to pay but the differences are not statistically significant. We adapt a more general travel cost model (TCM) of Parsons and Wilson (1997) that allows for inclusion of multi-destination visitors as incidental demand to allow estimation of an unbiased measure of single and multi-destination willingness to pay for whale viewing using a single pooled equation. The primary purpose trip values from the standard TCM and simple generalized TCM model are identical at $43 per person per day and neither are significantly different from the $50 day value from a generalized model that distinguishes between joint and incidental trips. The general models avoid underestimation of total recreation site benefits that would result from omitting the consumer surplus of multi-destination visitors.

Economic Assessment on Recreational Demand for Sanjay Gandhi National Park, Borivali, Mumbai Using Travel Cost Approach

2016 ◽  
Vol 35 (2) ◽  
pp. 39
Author(s):  
S Nimisha Narkar ◽  
M Vinod Mhaiske ◽  
K Vinayak Patil ◽  
S Satish Narkhede ◽  
B Dipak Malave
Keyword(s):  
National Park ◽  
Economic Assessment ◽  
Travel Cost ◽  
Cost Approach ◽  
Recreational Demand

scholarly journals TOD Parking Demand Models for New Urban Areas in China

2020 ◽  
Vol 12 (20) ◽  
pp. 8406
Author(s):  
Zhenyu Mei ◽  
Liang Kong ◽  
Wenchao Zheng
Keyword(s):  
Urban Areas ◽  
Measurement Model ◽  
Travel Cost ◽  
Sustainable Urban Development ◽  
Hangzhou Bay ◽  
Transit Oriented Development ◽  
Demand Model ◽  
Core Element ◽  
Demand Models ◽  
Parking Demand

At present, many new urban areas adopt the transit-oriented development (TOD) exploitation concept to achieve sustainable urban development, accurately predict parking demand under TOD exploitation, determine factors that influence demand, and establish demand models that are essential to the formation of a reasonable traffic structure in the new urban area. The present study aims to establish a scientific and reasonable parking demand model for TOD exploitation in new urban areas. Influencing factors of parking demand in new urban areas under the concept of TOD are determined, and a framework for a parking demand model is constructed. A travel cost measurement model for travel structures at different travel distances is established, considering travel cost as the core element, given that it affects the travel structure at different distances. Finally, taking the Hangzhou Bay New District as an example, the costs of various travel structures under TOD exploitation are calculated, and the reasonable parking demand is calculated. From the perspective of parking management, the concept of TOD is effectively supported.

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