Regenerative Design of a Defined Urban Space Using CityGML Model

Abstract

Unplanned urban areas are flawed by the lack of the supplemental services; for example, infrastructure, educational buildings, worship places, administrative authorities, and appropriate road networks. Thus, the goal of this paper is to propose a new method for the spatial analysis and redesigning of a defined urban space (US) rendering it to be smarter and sustainable. Starting from these assumptions, the paper attempts to develop a methodology for procedural modeling for building the regeneration process starting from the planning to the design of the United States under study with the aid of the City Geography Markup Language (CityGML) application. The proposed solution was shown to be capable of meeting the increased population needs better than the traditional replanning methods. In this instance, a software interface incorporating InfraWorks and ArcGIS software programs was utilized to regenerate a new smart urban area with the involvement of all respective urban features within the CityGML model replacing that of the conventional unplanned area. Moreover, a unified geodatabase was adopted to enhance the design flexibility by integrating data from diverse sources, in addition to attaining higher accuracy. To verify the effectiveness of the proposed solution, a detailed case study has been applied on the Amarwi area, which is located at the Alexandria governorate in Egypt in the Montzah District, validating the replanning competency and outperformance.