@article{xiao_seekamp_lu_eaton_burg_2021, title={Optimizing preservation for multiple types of historic structures under climate change}, volume={214}, ISSN={["1872-6062"]}, DOI={10.1016/j.lurbplan.2021.104165}, journal={LANDSCAPE AND URBAN PLANNING}, author={Xiao, Xiao and Seekamp, Erin and Lu, Junyu and Eaton, Mitchell and Burg, Max Post van der}, year={2021}, month={Oct} }
 @article{xiao_seekamp_van der burg_eaton_fatorić_mccreary_2019, title={Optimizing historic preservation under climate change: Decision support for cultural resource adaptation planning in national parks}, volume={83}, ISSN={0264-8377}, url={http://dx.doi.org/10.1016/j.landusepol.2019.02.011}, DOI={10.1016/j.landusepol.2019.02.011}, abstractNote={Climate change poses great challenges for cultural resource management, particularly in coastal areas. Cultural resources, such as historic buildings, in coastal areas are vulnerable to climate impacts including inundation, deterioration, and destruction from sea-level rise and storm-related flooding and erosion. However, research that assesses the trade-offs between actions for protecting vulnerable and valuable cultural resources under budgetary constraints is limited. This study focused on developing a decision support model for managing historic buildings at Cape Lookout National Seashore. We designed the Optimal Preservation Decision Support (OptiPres) model to: (a) identify optimal, annual adaptation actions for historic buildings across a 30-year planning horizon, (b) quantify trade-offs between different actions and the timing of adaptation actions under constrained budgets, and (c) estimate the effectiveness of budget allocations on the resource value of historic buildings. Our analysis of the model suggests that: (1) funding allocation thresholds may exist for national parks to maintain the historical significance and use potential of historic buildings under climate change, (2) the quantitative assessment of trade-offs among alternative adaptation actions provides generalizable guidance for decision makers about the dynamics of their managed system, and (3) the OptiPres model can identify cost-efficient approaches to allocate funding to maintain the historical value of buildings vulnerable to the effects of climate change. Therefore, the OptiPres model, while not designed as a prescriptive decision tool, allows managers to understand the consequences of proposed adaptation actions. The OptiPres model can guide park managers to make cost-effective climate adaptation decisions for historic buildings more transparently and robustly.}, journal={Land Use Policy}, publisher={Elsevier BV}, author={Xiao, Xiao and Seekamp, Erin and van der Burg, Max Post and Eaton, Mitchell and Fatorić, Sandra and McCreary, Allie}, year={2019}, month={Apr}, pages={379–389} }
 @article{liu_xiao_zhang_wu_zhang_2018, title={Spatial Configuration and Online Attention: A Space Syntax Perspective}, volume={10}, ISSN={["2071-1050"]}, DOI={10.3390/su10010221}, abstractNote={The spatial behavior of tourists is an important part of the research on congestion management and sustainable planning of tourism destinations. Combined with user-generated content (UGC) and site-based survey data, this study conducted an overlaying analysis between street network configurations that resulted from space syntax and tourist preferences. Based on space syntax, tourist movement is influenced by the distribution of scenic spots and the structure of tourist trails in scenic mountain areas. The results reveal that the distribution of scenic spots has a significant impact on tourist flow and visitors’ choices of entrance to the mountain; the volume of online sign-ins is highly correlated with landscape attention, axial control values and the local integration value of the trails; and tourists’ attention focuses on the entrance area and the few tourist-sight markers. This study advances the understanding of the spatial patterns of within-destination tourist behavior; this knowledge will be helpful in alleviating congestion in mountain scenic areas and providing effective guidance for tourists to plan an ideal tour route.}, number={1}, journal={SUSTAINABILITY}, author={Liu, Peixue and Xiao, Xiao and Zhang, Jie and Wu, Ronghua and Zhang, Honglei}, year={2018}, month={Jan} }