Trends in The Adoption of New Geospatial Technologies for Spatial Planning and Land Management in 2021

Abstract

Changes in spatial planning and land management practices, regulations and operations have frequently relied on the uptake of innovations in geospatial technologies. This article reviews which ones the spatial planning and land management domains has effectively adopted and which new ones might potentially disrupt the domain in the near future of 2021 and beyond. Based on an extensive concept-centric trends synthesis and meta-review, the analysis demonstrates that whilst geospatial technologies are clearly gaining wider societal recognition and while private companies are indeed developing promising applications, its adoption in office work of public officials and public decision makers remains almost as limited as before. The potentially most disruptive technologies for the domain are however BIM, Block chain and Machine learning.

Digital Twin for Active Stakeholder Participation in Land-Use Planning

“…There is a wide array of conventional geospatial technologies that, to some extent, have contributed to improving stakeholder participation; however, these are used mostly in some specific steps in the land-use-planning process and not so much in agenda setting, problem framing, or the definition of objectives [14]. For example, GIS is used mostly in comparative analysis, land-use change monitoring, and land-use detection [75,76]; remote-sensing techniques are used mostly in change detection, risk assessment, monitoring, and urban expansion projects; light detection and ranging (LiDAR) are for data acquisition; and CityGML and BIM are for the visualisation of specific features, such as buildings [77]. These conventional geospatial tools can capture, measure, analyse, and support planning decisions; however, they are normally static, have limited spatial analytical functionalities, and are also not userfriendly [11,14], perhaps because they are not designed in a way that specifically supports participation and collaboration [67].…”

“…Batty [83] posits that a complete replica of a city that shows the interaction between people, the environment, social factors, and economic factors could never be achieved, because these social factors cannot be captured in the digital twin system. Additionally, various geospatial literature and government grey documents on DT have focused mainly on the physical modelling and simulation aspects of the technology and not so much on social, political, and cultural factors, which are equally relevant in land-use-planning interventions [77]. Notwithstanding, simulation and prediction are useful in specific use cases, such as noise, air, and flooding propagation analyses.…”

Flood Mapping Using HEC-RAS and HEC-HMS: A Case Study of Upper Citarum River at Dayeuhkolot District, Bandung Regency, West Java

“…ArcGIS is frequently used in conjunction with HEC-RAS ESRI [14]. It consists of a collection of tools, utilities, and methods for managing geographic data [15].…”

“…In addition to heavy precipitation and insufficient channel capacity, population increase imposes an undue burden on the environment, particularly in terms of absorbing and storing precipitation. Also, how people manage the environment causes things like deforestation, land conversion, livestock breeding, unequal farming, household waste, irregular use of groundwater, and industry, all of which make floods like the one in the Upper Citarum Watershed even worse [15].…”

Flood hazard risk assessment based on multi-criteria spatial analysis GIS as input for spatial planning policies in Tegal Regency, Indonesia

“…Furthermore, the analysis must be able to explain disaster events spatially so that geospatial technology-based analysis is necessary. Previous research on the flood with a geospatial approach has focused on several topics (de Vries, 2021). The top-ic is implementing geospatial technology for flood risk mapping (Dejen & Soni, 2021;Rezaie-Balf et al, 2022).…”