Coordinating and Standardizing Outdoor Recreation Supply and Demand Databases to Facilitate Management and Promote Conservation, Health, and Accessibility

Recreation opportunities exist as a system at multiple scales and are offered by a variety of recreation providers sometimes with different goals and objectives. Incremental and disparate planning across providers can lead to mismatched supply and demand and inefficient use of resources. Furthermore, traditional recreation supply and demand studies have not systematically considered compatible benefits from conserving recreation lands including demand for and provision of biodiversity and wildlife conservation, ecosystem services, human health, and environmental justice issues.Historically, the supply of outdoor recreation and conservation lands was assembled by different state and federal agencies, counties and municipalities, Native American tribes, non-governmental organizations, or private organizations for the lands they directly managed with little systematic coordination. A national level Protected Area Databased (PAD-US) developed by the United States Geological Survey (USGS) Gap Analysis Project is changing this. It is the official, publicly available, and comprehensive spatial inventory of every park and protected area in the US. The PAD-US program has developed a standardized data set with consistent protocols and methodologies for data collection for continuous updates.Demand assessments are currently conducted by various federal and state agencies, industry associations, and academics. These studies are independently conducted at various levels form recreation site, across land ownership, by activity, or state and national studies. Initiated in 1960, what became the National Survey of Recreation and the Environment (NSRE) collected recreation demand data for analysis at state and national levels. Many recreation planners used this data until it was discontinued in 2014. While there has been coordination and systemization and standardization of recreation supply data collection, no similar actions have occurred for demand.Following the PAD-US, we identify opportunities to coordinate, standardize, and systematize the collection of demand data across agencies, ownerships, and scales. We propose a parallel publicly available National Recreation Demand Database (NRDD) with consistent protocols and methodologies to be the comprehensive and authoritative inventory of recreation demand. We suggest that a new National Survey on People and the Environment (NSPE) be developed to replace the NSRE to collect improved data on outdoor recreation, other resource uses, and compatible benefit demand information.

Multifaceted interactions between urban humans and biodiversity-related concepts: A developing-country dataset

Urban humans and biodiversity-related concepts are interacting with each other in many negative and positive ways. The biodiversity provides a wide array of provision and cultural-ecological services to urban residents, but it is being overexploited to the point of crisis. The crisis is largely driven by the expanding illegal wildlife trade in developing countries with a high urbanization rate and biodiversity level like Vietnam. While supply-side measures are ineffective in reducing biodiversity loss, researchers have suggested demand-side measures as supplements, such as social marketing campaigns and law enforcement in urban areas. Moreover, urban residents are also potential visitors to urban public parks and national parks, which helps generate finance for biodiversity preservation and conservation in those places. Understanding how urban residents' perceptions towards biodiversity and biodiversity-related behaviors can help improve the effectiveness of conservation efforts and sustainable urban development. Thus, this article presents a dataset of 535 urban residents' wildlife consumption behaviors, multifaceted perceptions and interactions with biodiversity-related concepts, and nature-based recreation demand. The dataset is constructed with six major categories: 1) wildlife product consumption, 2) general biodiversity perceptions, 3) biodiversity at home and neighborhood, 4) public park visitation and motivations, 5) national park visitation and motivations, and 6) socio-demographic profiles. These resources are expected to support researchers in enriching the lax literature regarding the role of urban residents in biodiversity conservation and preservation, and help policymakers to find insights for building up an “eco-surplus culture” among urban residents through effective public communication and policymaking.

Evaluating the Recreation Value of Alishan National Forest Recreation Area in Taiwan

This study aimed to construct an effective model to estimate the recreation value and total annual recreation benefits of the Alishan National Forest Recreation Area (ANFR) through the travel cost method. Negative binomial regression was also employed to estimate the demand function. This study sorted participants based on gender, age, level of education, personal monthly income, occupation, and place of residence to examine their differences in perceived recreation value and recreation demand. The survey responses revealed that most tourists were mainly middle aged, and took family vacations. The findings indicate that the recreation benefits of traveling to Alishan per person each year equaled NTD 1703. Furthermore, the annual recreation benefits of Alishan were approximately between NTD 2,157,121,944 and NTD 2,452,136,112 based on a total of 1,353,276 visits traveling to Alishan in 2019. Recommendations and suggestions are drawn for ANFR based the results.

Cost-Benefit Analysis of Adaptation to Beach Loss Due to Climate Change in Japan

To measure economic effects of changes in environmental quality caused by climate change in Japan, we estimate beach loss damage costs in Japan and in each prefecture and evaluate the economic effectiveness of hypothetical adaptation measures to restore sandy beaches. For analyses, we use a computable general equilibrium model (CGE) that integrates a utility function with environmental quality factors as an independent variable derived from a recreation demand function in a travel cost method (TCM). We use future projections of beach loss rates in 2081–2100 based on ensemble-mean regional sea-level rise (SLR) for four Representative Concentration Pathway (RCPs) scenarios (RCP2.6, RCP4.5, RCP6.0, and RCP8.5). The main findings of our study are presented as follows. (1) In 2081–2100, beach loss damage costs were estimated respectively as 398.54 million USD per year for RCP2.6, 468.96 (m.USD/year) for RCP4.5, 494.09 (m.USD/year) for RCP6.0, and 654.63 (m.USD/year) for RCP8.5. (2) For all RCPs, six prefectures for which the cost–benefit ratio exceeds 1.0 were Kanagawa, Osaka, Hyogo, Hiroshima, Saga, and Kumamoto. Our hypothetical adaptation measure of an artificial beach enhancement is expected to be quite effective as a public works project in these prefectures.

The Value of Greenspace Under Pandemic Lockdown

The COVID-19 outbreak resulted in unprecedented restrictions on citizen’s freedom of movement as governments moved to institute lockdowns designed to reduce the spread of the virus. While most out-of-home leisure activities were prohibited, in England the lockdown rules allowed for restricted use of outdoor greenspace for the purposes of exercise and recreation. In this paper, we use data recorded by Google from location-enabled mobile devices coupled with a detailed recreation demand model to explore the welfare impacts of those constraints on leisure activities. Our analyses reveals evidence of large-scale substitution of leisure time towards recreation in available greenspaces. Indeed, despite the restrictions the economic value of greenspace to the citizens of England fell by only £150 million over lockdown. Examining the outcomes of counterfactual policies we find that the imposition of stricter lockdown rules would have reduced welfare from greenspace by £1.14 billion. In contrast, more relaxed lockdown rules would have delivered an aggregate increase in the economic value of greenspace equal to £1.47 billion.