An Improved Identification Code for City Components Based on Discrete Global Grid System

Kun Qi,Bo Chen,Huaqiang Fang,Yi’Na Hu,Yan Ji,Chengqi Cheng

doi:10.3390/ijgi6120381

Kun Qi, Bo Chen + Show 4 more

Open Access

https://doi.org/10.3390/ijgi6120381

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Abstract

City components are important elements of a city, and their identification plays a key role in digital city management. Various identification codes have been proposed by different departments and systems over the years, however, their application has been partly hindered by the lack of a unified coding framework. The use of a code identifying a city component for unified management and geospatial computation across systems is still problematic. In this paper, we put forward an improved identification code for city components based on the discrete global grid system (DGGS). According to their spatial location, city components were identified with one-dimensional integer codes. The results illustrated that this identification code could express the location information of city components explicitly, as well as indicate the spatial distance relationship and the spatial direction relationship between different components. The experiment showed that this code performed better than traditional codes in data query and geospatial computation. Therefore, we concluded that this improved identification code was conducive to the more efficient management of city components, and hence might be used to improve digital city management.

Highlights

Urbanization and urban modernization are the main driving forces of socio-economic development [1,2]
We propose an improved identification code for city components, using the discrete global grid system (DGGS) for geo-referencing [17,18]
The city component is a key element, whose identification process plays an important role in digital city management

Summary

Introduction

Urbanization and urban modernization are the main driving forces of socio-economic development [1,2]. It is predicted that by 2050, about 64% of the developing world and 86% of the developed world will be urbanized, with more than half of the world’s population living in urban areas [3] These changes pose a significant challenge to urban infrastructure and services, and increase the demand for the orderly management of cities [4,5]. The China National Standard defines the city component as a combination of urban public facilities, transport facilities, urban appearance and environmental facilities, landscaping facilities, and other elements [9] To effectively incorporate these into a digital city management system, object identification technology is used to label every component with a digital code [10,11]. It is important to examine the identification code for city components, which is the basis of city component digitalization

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Results

Conclusion