Firstly, several studies delve deeper into the analysis of outcomes generated by rankings and indices through QCA application. This method has been used to analyze the interrelation among indices [50], or how different indices serve as precursors to analyze the complexities of achievements linked to ...
which are usually influenced by the thematic or geographical focus of the study. For example there has been a proliferation of urban livability city rankings that use diverse indicators to
Models of urban systems and their evolution focus on cities within either a region or nation. A central concern is the size distribution of cities within a system (Carroll1982). These models consider thepopulation sizesand rankings of a system's cities through the use of so-called rank-size ...
From the perspective of spatial distribution, the Harbin-Changchun urban agglomeration is at a medium level of green development with improvement in the overall degree, which the radiation-driven effect still needs to be further enhanced. While fewer studies currently focus on the drivers for upgradin...
However, we found a main drawback and that is that the existing literature only studies the relationships of the LST and SUHI in the interior space of the campus, not taking into account its relationship with the city that hosts it. It is important to note that SUHI is a phenomenon of ...
three periods. While the rankings for the longer period are of some interest, they do not differ dramatically from those of column 1, and it is rather the marginal comparison of the base period, 1977±87, with the sub- sequent ®ve years that warrants our attention. ...
Visual perception is crucial in human-centric spatial studies. Currently, Place Pulse dataset is widely used for subjective scoring of urban space. However, its local applicability raises questions due to limitations in data sources and participants. This study compares the performance of Place Pulse ...
Risk analysis studies may require prohibitively large number of simulations for large and complex infrastructure systems, as they involve evaluating the network reliability for multiple hazard scenarios. This thesis addresses this challenge by developing network surrogate models by statistical learning tools ...
Then, the geographical detector model is used to measure the spatial heterogeneity degree of the sustainability index and detect the factors influencing the spatial heterogeneity. The results show that (1) the innovation environment and economic growth are the core factors influencing the sustainable ...
Moreover, pairing this model with a model describing the expansion of urban spatial footprints allows us to consider mergers between cities, whereupon we can predict changes in the domestic rankings of cities within nations; similarly, by considering variations in SSPs from one nation to another, ...