## 1 Introduction  
With the acceleration of urban construction, the increasing demand for construction lands has become the key factor restricting planning development. At the same time, inappropriate utilization of the geo-environment and irrational development of geological resources were becoming increasingly significant, directly restricting urban construction [1; 2; 3]. Therefore, how to maximize the optimal allocation of urban construction and geological environment, and explore the evaluation method to effectively solve the practical dilemma, is particularly important [4; 5; 6].  
Multicriteria analysis was a common tool used for complicated decision-making questions [7; 8; 9; 10; 11]. A pivotal step of geo-environment suitability analysis of urban construction was used to confirm the weight of each criterion or indicator [12]. For the application of weight confirming methods, scholars had not formed a unified scientific understanding. Generally speaking, various means widely used at present could be roughly divided into the following five categories: geographic information system (GIS) spatial data superposition analysis method [13], artificial neural network method [14], analytic hierarchy process (AHP) [15], grey comprehensive evaluation method [16], and fuzzy comprehensive evaluation method [17]. For examples, based on the GIS platform, [PERSON] et al. [18; 19] established a geological disaster risk assessment system for Glenwood Springs, Colorado, evaluated the risk of geological disasters, and provided a basis for regional urban planning and construction. [PERSON] et al. [20] took a waste treatment plant in Kurdistan Province of Iran as the research object, and systematically analyzed its location suitability by AHP. [PERSON] et al. [21] evaluated the suitability of composite foundation for construction land through a fuzzy synthetic evaluation model in a city. [PERSON] et al. [22] evaluated the suitability of urban construction land using multifactor grading weighted index in the alluvial plain of the Yellow River. [PERSON] et al. [23] carried out land use zoning based on the principle of ecological priority and geo-environmental suitability using the AHP method in Weifang North Plain. [PERSON] et al. [24] finished the landslide susceptibility zonation mapping in and around the Kalimpong region by applying AHP method integrated with fifteen factors such as slope, lithology, elevation, thrust, and faults. [PERSON] et al. [25] carried out the geological and ecological bearing capacity evaluation from three aspects of geological, ecological, and social attributes based on the GIS platform and evaluation index system, and determined the factor weights by using the AHP method.  
In spite of the existence of various methods to identify weights of the selected criteria [26; 27; 28; 29], the analytic hierarchy process (AHP) integrated GIS overlay analysis was regarded as one of the excellent multicriteria decision-making means [30; 31; 32]. Before that, [PERSON] [33] introduced AHP and how to use it, and provided many study examples.  
Consequently, the objectives of this paper were (1) to establish a comprehensive evaluation frame for evaluating the geo-environmental suitability for urban construction land based on geo-environmental factors in Rongcheng district of Xiong'an New Area; (2) to identify the relationship and its contribution of geological indicators, including the characteristic value of the bearing capacity of foundation soil, land subsidence rate, geological faults, ground fissures, potential liquefied sands, quality of groundwater chemistry, quality of soil chemistry, chemical corrosion of concrete by groundwater, chemical corrosion of steel by groundwater, and enrichment of deep groundwater and geothermal resource, to urban construction land with the AHP method; and (3) to provide some significant information to improve decision-making for urban land planning according to the assessment results.