Jin density in Tianjin location.Figure 3. density in Tianjin central region; (b) Job density in Job density in region. Figure three. (a) Population(a) Population density in Tianjin central location; (b) Tianjin central Tianjin central region. Figure 3. (a) Population density in Tianjin central region; (b) Job density in Tianjin central area.(a) (a)(b) (b)Land 2021, 10, 1144 Land 2021, 10, x FOR PEER REVIEW7 of 20 7 of(a)(b)Figure four. (a) Commuting flows in region; (b) Commuting flows in Tianjin central location. Figure four. (a) Commuting flows in Tianjin metropolitanTianjin metropolitan area; (b) Commuting flows in Tianjin central area.3.three. Approaches three.three. Identification of Static Traits three.three.1.Methods 3.three.1. Identification Decanoyl-L-carnitine Biological Activity theStatic Characteristicsof urban spatial structure demands the identifiUnderstanding of static characteristicsUnderstanding the static including the of urban spatial subcenters. It can be generally cation of spatial polycentricity,characteristics key center and structure demands the idenbelieved that monocentric morphology would be the starting pointandurban type It is actually typically tification of spatial polycentricity, which includes the key center of subcenters. research [72]. As a result, the definition and identification of subcenters would result urban kind studies [72]. believed that monocentric morphology is the beginning point of in differences within the understanding of urban and identification of subcentersaccepted definition is the fact that a subcenter Thus, the definition spatial polycentricity. A Bomedemstat Data Sheet broadly would result in variations within the unis an area where urban spatial larger employment agglomeration definition is that a subderstanding of significantly polycentricity. A extensively accepted has remarkable effects around the all round spatial distribution of urban functions [73]. Having said that, current studies have center is an region exactly where considerably greater employment agglomeration has outstanding reported that the share of jobs in centersof urban functionsand most jobs are dispersed effects around the all round spatial distribution is relatively low [73]. Having said that, recent research outside the main center and of jobs in centers is somewhat low and most jobs thatdispersed have reported that the share subcenters [49]. This suggests that the reality is are the centers, in particular thecenter and subcenters [49]. This suggests that the reality is that the centers, outside the principle subcenters, might only have neighborhood effects around the spatial distribution of employment and population. especially the subcenters, may only have nearby effects around the spatial distribution of emA two-step workflow ployment and population. was applied to determine the principle center and subcenters in this study. Spatial autocorrelation was to recognize the mainmain center, and GWRin this A two-step workflow was applied utilized to find the center and subcenters was used to Spatialsubcenters. Spatial autocorrelation is determined by objective GWR was utilized to study. find autocorrelation was employed to locate the main center, and spatial statistical strategies, which can identify the center byis depending on objective spatial statistical techlocate subcenters. Spatial autocorrelation discovering the inherent structure of spatial information [74]. Therefore, there is the require for subjective threshold selections and nearby arranging niques, which can recognize no center by discovering the inherent structure of spatial data information in the identification process [68,72]. threshold selections of GWR only utilizes [74]. Thus, there’s no need for subjectiv.
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