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Nam, S., Park, S. - E., & Shin, H. - C. (2015). Accessing the economic value of night view of bridge using contingent valuation method: the case of South Korea's Han-River bridge. Int. J. of Culture, Tourism and Hospitality Res., 9(3), 360–370.
The purpose of this study is to estimate an individualâ€™s probability of preservation the night view of Han-River Bridge at tax using the CVM; and to present the effects of 4Es on experience economy theory.
The on-site survey was conducted in the 11 district Han-river parks; Gwangnaru, Jamsil, Ttukseom, Jamwon, Banpo, Yeechon, Yeouido, Mangwon, Nanji, Ganseo and Yanghwa district including 24 bridge ssuch as Banpo, Olympic Bridge during the 8-9pm around the lighting and 9-10pm peak time of lighting.
Truncated mean WTP indicates that the economic value of the night view of Han-River Bridge is 49,575 won (about U.S. $50) per household, which implies the significance of the preservation value of the night view.
This study sets a hypothetical market and there are limitations on hypothetical bias of the DC CVM. For the future study, a survey with a specific real payment vehicle in an attempt to reduce hypothetical bias can be a tool for the prevention of the overestimation.
Through the study, Seoul city has to invest aggressively on the night view landscape business of Han River bridge, which can become a landmark and lots of attraction effect of tourists. Since this studyâ€™s core aim was to justify the economic value of the night-view of the Han-River bridges, the estimated amount strongly supports the lighting business of the Han-River bridge.
The results of this research may help policy makers of Han-River to establish practical decision whether improving and preserving the Han-Riverâ€™s night view lighting business are worth the value.
Ranzoni, J., Giuliani, G., Huber, L., & Ray, N. (2019). Modelling the nocturnal ecological continuum of the State of Geneva, Switzerland, based on high-resolution nighttime imagery. Remote Sensing Applications: Society and Environment, 16, 100268.
Abstract: The increase of artificial light in recent decades has led to a general awareness of the harmful consequences of light pollution on biodiversity. The artificial light is however rarely taken into account in the principles of developing ecological networks. There is currently no standardized method for integrating this darkness factor into ecological network modeling. We propose a methodology for the identification of the nocturnal continuum through an approach based on the automated extraction of light sources from nocturnal orthophotography and the modeling of their visibility within a territory. The model is applied to the transboundary region of the Geneva basin in Switzerland and allows for the integration of the darkness factor into the existing ecological networks. Although the analysis does not consider metric lighting data, a viewshed analysis allows for a first large-scale mapping of the nighttime continuum and highlights the areas benefiting from very low light pollution.
Verutes, G. M., Huang, C., Estrella, R. R., & Loyd, K. (2014). Exploring scenarios of light pollution from coastal development reaching sea turtle nesting beaches near Cabo Pulmo, Mexico. Global Ecology and Conservation, 2, 170–180.
Abstract: New coastal development may offer economic benefits to resort builders and even local communities, but these projects can also impact local ecosystems, key wildlife, and the draw for tourists. We explore how light from Cabo CortÃ©s, a proposed coastal development in Baja California Sur, Mexico, may alter natural light cues used by sea turtle hatchlings. We adapt a viewshed approach to model exterior light originating from the resort under plausible zoning scenarios. This spatially explicit information allows stakeholders to evaluate the likely impact of alternative development options. Our model suggests that direct lightâs ability to reach sea turtle nesting beaches varies greatly by source location and heightâwith some plausible development scenarios leading to significantly less light pollution than others. Our light pollution maps can enhance decision-making, offering clear guidance on where to avoid elevated lamps or when to recommend lighting restrictions. Communities can use this information to participate in development planning to mitigate ecological, aesthetic and economic impacts from artificial lighting. Though tested in Mexico, our approach and free, open-source software can be applied in other places around the world to better understand and manage the threats of light pollution to sea turtles.