Research Article AnalysisofLandSurfaceTemperatureEvolutionBasedon RegionalRoadScope FabaoLiu , 1 XingliJia , 1 WenbinLi, 2 AoDu, 1 andDangWang 1 1 School of Highway, Chang’an University, Xi’an 710064, China 2 Shaanxi Ankang Highway Management Bureau, Ankang 725000, China Correspondence should be addressed to Xingli Jia; jiaxingli@chd.edu.cn Received 7 February 2020; Revised 8 June 2020; Accepted 10 June 2020; Published 12 August 2020 Academic Editor: Valeria Vignali Copyright © 2020 Fabao Liu et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. To balance sustainable road construction and environmental impact, intrinsic relationships between regional road networks and land surface temperature (LST) along the roads must be examined. In this study, we hypothesize that expanding road networks can affect the LST within a given region. us, we determined the influence of varying road grades on the surrounding LST. Using an improved single-window algorithm with reasonably adjusted water vapor parameters, LST data for the relevant areas were extracted from Landsat 8 data. Analyzing these data revealed that, in the improved single-window algorithm, the MOD05 L2 water vapor parameter could obtain results, indicating that road grades are positively correlated with LST changes when road network mileage is increased. In addition, we found that LST was increased by highways and low-grade roads over distances of 180 m and 150 m compared with the surrounding area, respectively. Furthermore, LST was affected by road interchanges over a distance of 300 m and by intersections formed by low-grade roads over 150 m; both have a linear nonuniform influence on the propagation models. Finally, we determined that different highways in the LSTradiation range can interact to form an LSTconcentration zone, resulting in further LST increases. 1.Introduction Land surface temperature (LST) is a favorable indicator for the study of environmental conditions, and the use of LST indicators as a useful research object in regional energy change discussion is also increasing [1–5]. As the infra- structure construction of the strip land, the roads will have an impact on the LST of the area along the roads due to the construction of it and the subsequent occupation due to the land occupation and itself. In addition, with the continuous development of social needs, the mileage of road networks is increasing, and the LST within the road’s domain will also change due to the influence of the road itself, thus affecting the surrounding environment. At present, most of the studies on regional LST are to study a large scope of urban areas [6–8], but there are fewer studies on LST changes within the road areas. As an important indicator of environmental change, most LSTresearchers use it as an important characterization object for surface energy evolvement and environmental change [1–5, 9, 10]. However, in addition to the use of real- time monitoring and measurement methods [11], re- searchers have made it more convenient to adopt satellite data to study regional LST [12, 13]. erefore, a large number of researchers use satellite data for regional LST analysis, not only from the inversion algorithms to explore and make improvement but also in the selection of source data in different aspects of screening. For example, some researchers have summarized and analyzed several major LST inversion methods and compared their accuracy [14, 15]. However, different parameter selection on the inversion algorithms will also cause differences in accuracy. For example, some researchers use the split-window algo- rithm from MODIS product for temperature inversion [16]. As the algorithm is relatively sensitive to the bands 31 and 32, the bare soil parameters are adjusted in the inversion algorithm, and MODIS data are used to verify the impact of LST temperature inversion accuracy. However, some studies Hindawi Advances in Civil Engineering Volume 2020, Article ID 4350787, 15 pages https://doi.org/10.1155/2020/4350787