ClockBoard: A zoning system for urban analysis

Lovelace, Robin; Tennekes, Martijn; Carlino, Dustin

doi:10.5311/josis.2022.24.172

Cited by 3 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One way to address this problem is to use a zoning system that is designed to be comparable, such as the ClockBoard zoning system. Another way to address the problem of comparability is to use statistical methods to adjust the aggregated values for different zones by taking into account features of the zones (Lovelace et al, 2022).…”

Section: Visualization Methods For Micro-mobilitymentioning

confidence: 99%

Options for micro-mobility data visualization

Koktavá,

Horák

2023

EJG

View full text Add to dashboard Cite

The growth in technology has led to the enhancement of open data sources and the development of user-friendly open-source visualization and analysis tools. The evolution of these tools has resulted in the expansion of various analytical and visualization techniques. This research concentrates on the visualization methods used in micro-mobility studies. It briefly defines micro-mobility, including the key factors that influence it. The motivation for writing this paper was to identify visualization methods that are suitable for representing a variety of micro-mobility data types. The aim of this paper is to briefly review a number of visualization methods that are widely used in micro-mobility research.

show abstract

Section: Visualization Methods For Micro-mobilitymentioning

confidence: 99%

Options for micro-mobility data visualization

Koktavá,

Horák

2023

EJG

View full text Add to dashboard Cite

show abstract

“…Corresponding zoning and visualization systems have also been developed to promote the development of urban functional zoning [27,28]. By identifying and zoning urban spatial patterns, people can discover the physical characteristics and social attributes of cities, and can enable valuable applications such as urban planning [29].…”

Section: Identifying Urban Functional Zonesmentioning

confidence: 99%

Identification of Urban Functional Zones Based on the Spatial Specificity of Online Car-Hailing Traffic Cycle

Deng

You

Shi

et al. 2022

IJGI

View full text Add to dashboard Cite

The study of urban functional zoning is not only important for analyzing urban spatial structure but also for optimizing urban management and promoting scientific urban planning. Different areas undertaking different urban functions correspond to different traffic patterns and specific cycles. Here, a method named Urban Functional Zoning based on the Spatial Specificity (UFZ-SS) is proposed. The core of this method is to obtain urban spatial zoning through the specific cycles of traffic flows. First, UFZ-SS uses the Ensemble Empirical Modal Decomposition (EEMD) method to extract the specific periodic signal characteristics of traffic flows. Second, UFZ-SS calculates the contribution of online car-hailing traffic of different cycles in each zone. Then, the Gaussian Mixture Model (GMM) is utilized to classify all spatial zones into different spatial partitions based on the contribution of each periodic signal. Finally, this study validates UFZ-SS with the online car-hailing traffic volume in northeast Chengdu, China. The results show that the periodic characteristics of traffic can be effectively extracted and analyzed by the EEMD method, and highly distinct and accurate urban spatial partitioning results can be derived by spatial clustering based on the measures of specific cycles. Moreover, with the assistance of Point of Interest (POI) data, we verify the functional zones and structural patterns, which further demonstrates the validity and rationality of urban functional zones identified by UFZ-SS. This study provides a new potential perspective for the identification of urban functional zones, which may lead to a better understanding of the urban spatial structure and even urban planning.

show abstract

“…

Since our 10th anniversary issues published in 2020 [1,2], JOSIS has continued to publish a number of excellent research articles on many of the topics highlighted by our editorial board in their invited papers. These include articles on crowdsourcing [10], place [18,17,23,13,3], spatial language [5,15,24,19], GeoAI [14], movement analysis [26,11], urban analysis and wayfinding [16,21,7], methods for spatial analysis and uncertainty [22,25,6,20], environmental data and modeling [8,12,9], and qualitative spatial reasoning [4]. We are happy to also note that these articles represent research conducted around the world, with authors based in Australia,

…”

mentioning

confidence: 99%