Importance–performance analysis (IPA) has been widely used to examine the relationship between importance, performance, and overall satisfaction in tourism destinations. IPA implicitly assumes that attribute performance will have little impact on overall satisfaction when stated importance is low. However, this assumption is rarely tested. This study, for the first time, tested this assumption by including attributes in each IPA quadrant into a second-order structural equation model. Results indicate that attributes with lower ratings of importance in the “low priority” and “potential overkill” quadrants do not contribute to overall satisfaction, regardless of performance, while the opposite is true for attributes in the “keep up the good work” quadrant with higher ratings of importance and performance, thus confirming the validity of this assumption. This novel approach allowed us to take a fresh look at an old debate, and the results suggest stated importance may be more useful than previously thought. Theoretical, methodological, and managerial implications are discussed.

Evaluation and identification of nature-based tourism (NBT) destinations is not a new practice; however, evaluating the variability of various inputs in the identification of NBT destinations have only recently gained special attention. This study highlights the importance of conducting sensitivity analysis of criteria weights in mapping NBT areas in the state of West Virginia. As an extension to the study by Dhami, Deng, Burns, and Pierskalla (2014, Identifying and mapping forest-based ecotourism areas in West Virginia incorporating visitors’ preferences. Tourism Management, 42, 165–176) who examined and mapped NBT areas in West Virginia by incorporating visitors’ perceptions as criteria weights into a spatial suitability model, this study focuses on how sensitive NBT areas are to the variations of visitors’ and ecotourism experts’ perceptions of selected criteria (i.e. remoteness, slope, vegetation, wildlife, mining, and logging) using a simple one-at-a-time method. Results indicate that visitors and ecotourism experts perceived the criteria in a similar manner with the presence of vegetation and remoteness being ranked as the most important criteria for NBT areas. The results also show that about one-third of West Virginia is highly suitable and least sensitive to variations in criteria weights, and therefore suitable for a wide range of NBT tourists, irrespective of their preferences for the selected NBT criteria. Research implications and limitations are discussed.

Flood disasters often have serious impacts on cities. Disaster prevention and mitigation schemes for flood disasters must be based on risk assessment. We constructed an indicator system for flood disaster risk assessment from the aspects of hazard factors, sensitivity to the environment, disaster vulnerability, flood disaster prevention, and resilience. Then we add the precipitation factor as a scenario parameter to the assessment of flood disasters, in order to assess the flood disaster risk under annual average precipitation scenarios, multi-year flood season average precipitation scenarios, and large typhoon precipitation scenarios. Xiamen is one of the cities with more serious flood disasters. We select Xiamen as an example and refer to existing indicators of flood disaster assessment. The results show that: (1) the coefficient of variation of flood disasters in Xiamen under the impact of large-scale typhoon precipitation is large; (2) the drainage and flood control capacity of Xiamen is generally insufficient, and the risk in the old city is high; (3) there are many flood-prone locations in Xiamen. Underpass interchanges, underground spaces, and urban villages have become the new key areas for flood control; and (4) the flood risk in the northern mountainous areas of Xiamen is the highest. Based on the assessment results, we further delineate the urban flood control zones and propose corresponding countermeasures. The study expands the research on flood disaster risk assessment, and also provides reference for relevant cities to deal with flood disasters.

The quality and scale of urbanization development are the two main aspects in China’s current urbanization process. By measuring and analyzing the level differences in these two aspects, the healthy development of China’s urbanization and urban–rural integration will be promoted. Based on the quality of urbanization and the scale of urbanization, this paper constructs an evaluation index system for urbanization coordination level. On this basis, this paper analyzes the spatial correlation, spatial difference, and spatial pattern evolution characteristics of urbanization coordination level in 286 sample cities nationwide from 2005 to 2015. Then, by introducing the spatial econometric regression model, this paper discusses the driving mechanism of the spatial and temporal evolution of urbanization coordination level. The results show that: (1) The level of coordination between urbanization quality and urbanization scale shows a strong spatial correlation in space, which is consistent with the actual development status; (2) the level of urbanization coordination shows a trend of evolution from northeast to southwest in the evolution of spatial pattern, but the extent of change is small; and (3) the spatial and temporal pattern of urbanization coordination level is affected by different driving forces, of which internal source is the primary impact factor, followed by administrative level and investment level. In addition, the level of urbanization coordination has a positive spillover effect on the level of urbanization coordination in adjacent areas.

In recent years, cities are threatened by various natural hazards. Planning emergency shelters in advance is an effective approach to reducing the damage caused by disasters and ensuring the safety of residents. Thus, providing the optimal layout of urban emergency shelters is an important stage of disaster management and an act of humanitarian logistics. In order to study the optimal layout of emergency shelters in small mountain cities, this paper constructs multi-level location models for different grades of emergency shelters so as to minimize the travel and construction costs and maximize the coverage rate. Specifically, the actual service of emergency shelters is determined using Geographic Information System (GIS) software and Weighted Voronoi Diagram (WVD) models under the limitation of site capacity, and the space layout is adjusted through combining the actual urban land with the construction position. In this paper, the Jianchuan county seat at Yunnan Province, China, was considered as a case study to illustrate the models of emergency shelters in which the feasibility of the presented models is verified. The proposed research methods and models have provided theoretical basis and a benchmark for the optimal layout of emergency shelters in other small mountain cities.

Rural destination management organizations (DMOs) are faced with considerable challenges as they attempt to promote economic prosperity through tourism. This study sought to identify rural destination management challenges in Tucker County, West Virginia; identify the roles and activities of the destinations DMOs in addressing these challenges; and develop a perceived destination management framework. DMO challenges include maintaining authenticity and sense of place; economic diversification; seasonality, low wage jobs, and lack of employees; connecting resorts to small businesses and communities; and establishing a common vision, identity, and coordination of activities. While the majority of tourism literature calls for DMOs to play a dual marketing and management role, this paper makes an important contribution by identifying the need for a Convention and Visitors Bureau and a separate organization with a specific mission to sustainably develop and manage tourism and coordinate activities of the stakeholder network.