Onsistent with all the 3 methods of China’s terrain. It’s also related to the outcomes obtained by Feng et al. [36,45]. The dividing lines on the three terrain actions had been applied because the boundary for classifying the metrics of municipal Vacquinol-1 Purity & Documentation street networks in China. The street network complexity presented the following order: initially step second step third step. This outcome indicated that, the more undulating the topography, the greater the complexity of a street network. RDLS was considerably correlated with street network complexity metrics, including street network orientation entropy, typical street length, typical circuity, average streets per node, dead-end proportion, and four-way intersection proportion. Amongst these metrics, RDLS was positively correlated with street network orientation entropy, typical street length, average circuity, plus the dead-end proportion. Meanwhile, it was negatively correlated with typical streets per node plus the four-way intersection proportion.(2)(3)This study extended the investigation on the correlation in between topographic relief and street network to a specific extent, whilst complementing the investigation techniques and final results on the complexity of urban street networks in China. A higher-resolution DEM and higheraccuracy street network information will enable increase the research final results in future studies.Author Contributions: Study design and style, data analysis, and writing–original draft preparation, Nai Yang and Yi Chao; data analysis, writing outcome evaluation, and writing–review and editing, Le Jiang and Yang Li; providing useful suggestion on data and outcome evaluation, writing–review and editing, and supervision, Pengcheng Liu. All authors have read and agreed to the published version of your manuscript. Funding: This research was funded by the National All-natural Science Foundation of China (No. 42171438, 42071455). Institutional Assessment Board Statement: Not applicable. Informed Consent Statement: Not applicable. Conflicts of Interest: The authors declare that they have no identified competing economic interests or private relationships that could have appeared to influence the operate reported within this paper.ISPRS Int. J. Geo-Inf. 2021, ten,12 ofAppendix ATable A1. Calculation benefits of every single index for prefecture-level cities. Ho Beijing Tianjin Shijiazhuang Cangzhou Hengshui Polypodine B site Handan Xingtai Baoding Zhangjiakou Chengde Tangshan Qinhuangdao Langfang Shenyang Huludao Chaoyang Fuxin Jinzhou Panjin Fushun Yingkou Dalian Dandong Benxi Liaoyang Anshan Tieling Changchun Jilin Baishan Yanbian Tonghua Liaoyuan Siping Songyuan Baicheng Harbin Mudanjiang Jixi Qitaihe Shuangyashan Jiamusi Suihua Yichun Hegang Daqing Qiqihar Daxinganling Heihe Huhhot Baotou Bayannur Eerduosi Wuhai Alxa 3.26 three.49 two.75 3.1 two.98 two.86 two.82 3.02 three.46 3.57 3.31 three.47 three.12 3.52 three.55 three.56 3.52 3.36 three.41 three.46 three.42 three.55 3.56 3.56 three.48 3.46 three.55 3.49 three.49 three.56 3.53 three.56 three.55 three.48 3.47 3.37 3.50 3.53 3.54 three.51 3.38 three.14 three.36 3.53 3.35 3.48 three.42 3.32 three.39 3.30 three.31 3.40 3.53 three.18 three.09 LS 329 371 328 320 370 396 367 543 767 1027 636 627 459 576 908 1839 1418 1195 983 1117 879 602 1353 1063 892 1043 984 465 322 1369 621 1106 1140 679 1104 698 607 454 382 496 648 349 863 930 912 859 781 1420 764 577 418 906 887 591 1190 C 1.09 1.05 1.06 1.04 1.04 1.04 1.05 1.07 1.11 1.15 1.06 1.1 1.04 1.06 1.12 1.11 1.ten 1.09 1.06 1.15 1.08 1.11 1.19 1.23 1.10 1.11 1.10 1.06 1.09 1.27 1.16 1.15 1.10 1.06 1.06 1.06 1.10 1.15 1.10 1.08 1.09 1.08 1.07 1.13 1.08 1.06 1.07 1.18 1.11 1.08 1.06 1.07 1.06 1.07 1.