scholarly journals Extracting Main Center Pattern from Road Networks Using Density-Based Clustering with Fuzzy Neighborhood

2019 ◽  
Vol 8 (5) ◽  
pp. 238 ◽  
Author(s):  
Xiaojie Cui ◽  
Jiayao Wang ◽  
Fang Wu ◽  
Jinghan Li ◽  
Xianyong Gong ◽  
...  

The spatial pattern is a kind of typical structural knowledge that reflects the distribution characteristics of object groups. As an important semantic pattern of road networks, the city center is significant to urban analysis, cartographic generalization and spatial data matching. Previous studies mainly focus on the topological centrality calculation of road network graphs, and pay less attention to the delineation of main centers. Therefore, this study proposes an automatic recognition method of main center pattern in road networks. We firstly extract the main clusters from road nodes by improving the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) with fuzzy set theory. Moreover, the center area is generated with road meshes according to the area ratio with the covering discs of the main clusters. This proposed algorithm is applied to the road networks of a monocentric city and polycentric city respectively. The results show that our method is effective for identifying the main center pattern in the road networks. Furthermore, the contrast experiments demonstrate our method’s higher accuracy.

2020 ◽  
Vol 26 (2) ◽  
pp. 179-190
Author(s):  
David Nkurunziza ◽  
Rahman Tafahomi

This paper analyzed and assessed the pedestrians’ mobility issues that are affecting their free movement and safety in the City of Kigali by outlining  the major challenges in the City and providing alternative solutions and measures for improving the mobility and safety of pedestrians. The  methodology of the paper was designed based on qualitative method with application of structured and unobtrusive. Referring to the paper  findings about the mobility challenges of pedestrians within the City of Kigali, it is noted that the mobility of the pedestrians and their safety is still  low and typical problems including road crossing viewed as the second challenges about pedestrians mobility, walking along very close to the road networks due to insufficient footpaths, lacking of enough road signs, lacking of information about pedestrian behavior on road networks, and  improper functioning of existing traffic signals as the first challenge. The paper found that the majority of road networks in the City of Kigali did not provide walkways, traffics signals designs and availability is very poor and some of them not functioning, zebra crossing facilities were not provided adequately, pedestrians shelter on bus stop are almost absent and ignored, vehicles travelling speed is still high and does not allow pedestrians to move freely, and the mobility of physically challenged people has been forgotten and there is a need of introducing the pedestrian overpass bridges in clouded zones of the city center, Nyabugogo, Kicukiro and Remera-Giporoso areas of the City of Kigali. Keywords: Mobility, Pedestrian Safety, Road Networks, Traffic Signals, Pedestrians.


2016 ◽  
Vol 25 (3) ◽  
pp. 431-440 ◽  
Author(s):  
Archana Purwar ◽  
Sandeep Kumar Singh

AbstractThe quality of data is an important task in the data mining. The validity of mining algorithms is reduced if data is not of good quality. The quality of data can be assessed in terms of missing values (MV) as well as noise present in the data set. Various imputation techniques have been studied in MV study, but little attention has been given on noise in earlier work. Moreover, to the best of knowledge, no one has used density-based spatial clustering of applications with noise (DBSCAN) clustering for MV imputation. This paper proposes a novel technique density-based imputation (DBSCANI) built on density-based clustering to deal with incomplete values in the presence of noise. Density-based clustering algorithm proposed by Kriegal groups the objects according to their density in spatial data bases. The high-density regions are known as clusters, and the low-density regions refer to the noise objects in the data set. A lot of experiments have been performed on the Iris data set from life science domain and Jain’s (2D) data set from shape data sets. The performance of the proposed method is evaluated using root mean square error (RMSE) as well as it is compared with existing K-means imputation (KMI). Results show that our method is more noise resistant than KMI on data sets used under study.


2022 ◽  
Vol 960 (1) ◽  
pp. 012020
Author(s):  
A Boroiu ◽  
E Neagu ◽  
A A Boroiu

Abstract The paper aims to explore the possibilities of improving road traffic in the central area of cities characterized by a longitudinal arrangement of the street network, with application for the case of Pitesti, where the road network in the central area consists of two main roads arranged longitudinally, having one-way regulated traffic, interconnected by several streets. A special traffic problem is reported in the city center: on the main road connecting the two boulevards, the vehicle storage space is insufficient - because the distance between the two road intersections is too small and there is no correlation between the Green phases of traffic lights in the two intersections. The research, based on traffic measurements performed with DataFromSky software and micro-simulation traffic analyses performed with Vissim PTV software, indicated that the best solution is the partial or total correlation of the green time from the traffic light intersections that delimit the connecting road artery. As, almost exclusively, the works dedicated to the correlation of green light of traffic lights treat the problem only along the road arteries, this paper raises a special issue and reveals the possibility of simple solutions, by correlating the traffic lights at the intersections connecting the main arteries.


2018 ◽  
Vol 53 ◽  
pp. 04047
Author(s):  
Bing Wang ◽  
Cai Dai

In this paper, combining the development of the times and the construction of smart cities, the various identification elements of the city center area system were collated and extracted while combing the morphological characteristics of the central area of the city. Moreover, after combining these identification elements, the problems to be solved in the construction environment of the modern urban center area were analyzed. Through the analysis of the content of smart city construction and integration with the organic renewal of the urban center area, a strategic discussion has been proposed, aiming at maximizing the rejuvenation of the environmental vitality of the urban center area while adapting to modern urban environmental management.


2021 ◽  
Vol 13 (22) ◽  
pp. 12527
Author(s):  
Maximilian Heumann ◽  
Tobias Kraschewski ◽  
Tim Brauner ◽  
Lukas Tilch ◽  
Michael H. Breitner

This study analyzes the temporally resolved location and trip data of shared e-scooters over nine months in Berlin from one of Europe’s most widespread operators. We apply time, distance, and energy consumption filters on approximately 1.25 million trips for outlier detection and trip categorization. Using temporally and spatially resolved trip pattern analyses, we investigate how the built environment and land use affect e-scooter trips. Further, we apply a density-based clustering algorithm to examine point of interest-specific patterns in trip generation. Our results suggest that e-scooter usage has point of interest related characteristics. Temporal peaks in e-scooter usage differ by point of interest category and indicate work-related trips at public transport stations. We prove these characteristic patterns with the statistical metric of cosine similarity. Considering average cluster velocities, we observe limited time-saving potential of e-scooter trips in congested areas near the city center.


2021 ◽  
Vol 145 (1) ◽  
pp. 32-49

Until the mid-20th century, the historic center of Seoul was divided by a stream in a west-east direction. By the 1950s, the water of the stream had become so polluted that only the full coverage of it could solve the resulting problems. An elevated highway was built in its place. At the turn of the millennium, as part of the rehabilitation of the district, the former creek was excavated, the road demolished and an artificial natural environment created. Although the reconstruction was intended to strengthen the historic character of the city center, the artificial watercourse and the emphasized role of tourism discredited the project to socially-minded critics. In this study, we present all of this, but go one step further and interpret the socio-economic damage resulting from the disintegration of local communities in the working-class neighborhood that has develop dover the decades as the cost of renewal.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Aniello Lampo ◽  
Javier Borge-Holthoefer ◽  
Sergio Gómez ◽  
Albert Solé-Ribalta

AbstractThe quantitative study of traffic dynamics is crucial to ensure the efficiency of urban transportation networks. The current work investigates the spatial properties of congestion, that is, we aim to characterize the city areas where traffic bottlenecks occur. The analysis of a large amount of real road networks in previous works showed that congestion points experience spatial abrupt transitions, namely they shift away from the city center as larger urban areas are incorporated. The fundamental ingredient behind this effect is the entanglement of central and arterial roads, embedded in separated geographical regions. In this paper we extend the analysis of the conditions yielding abrupt transitions of congestion location. First, we look into the more realistic situation in which arterial and central roads, rather than lying on sharply separated regions, present spatial overlap. It results that this affects the position of bottlenecks and introduces new possible congestion areas. Secondly, we pay particular attention to the role played by the edge distribution, proving that it allows to smooth the transitions profile, and so to control the congestion displacement. Finally, we show that the aforementioned phenomenology may be recovered also as a consequence of a discontinuity in the node’s density, in a domain with uniform connectivity. Our results provide useful insights for the design and optimization of urban road networks, and the management of the daily traffic.


2020 ◽  
Vol 202 ◽  
pp. 06032
Author(s):  
Miftachurahma Widanirmala ◽  
Maryono Maryono ◽  
Fuad Muhammad

Gajahmada Street is one of the main streets in the city of Semarang. The location is very strategic, which connects the Golden Triangle Region in Semarang City which is the center of the city. As a city center, transportation activities in the area are very high. Transportation activities produce carbon dioxide emissions. The accumulation of carbon dioxide emissions is dangerous for health and the environment. Semarang City Government provides green open space along the road section to reduce carbon dioxide emissions. The purpose of this study was to determine the vegetation resilience to absorbing carbon dioxide at that location. The data collection method uses literature collection and field observations. The results showed the ability of green open space to absorb carbon dioxide emissions is 1.218,7 tons/ha/year. While the emissions produced are 6.832 tons/year, meaning that there is residual carbon dioxide that is not absorbed, that is 5.613,3 tons/year.


2022 ◽  
Vol 961 (1) ◽  
pp. 012090
Author(s):  
Areaj Khairy Alrawi ◽  
Shurooq Saad Qasim

Abstract The urban management, municipal councils and their local committees, in addition to the laws, and regulations enacting them, play an important role in defining economic, social and environmental scenarios, and directing them towards achieving sustainable development. Sustainability in all its forms. The research seeks to identify the mechanisms and concepts of urban management in general and the management of urban land uses in city centers in particular, and how to use them optimally and achieve the best distribution of their uses in order to be sustainable and achieve sustainable development in the city center by integrating the principles of sustainability in the urban management process to become As a result, we have a vibrant sustainable center. In the theoretical framework, concepts related to the city center, its importance, characteristics, components and limits were presented. The concepts of sustainability and sustainable development were also presented, and what are its objectives, dimensions, standards, and approaches, in addition to defining the sustainable city center and its components and how, and through the theoretical framework, indicators of sustainable urban management were extracted. On the practical side, the researcher used the field surveys of the study area (the old Rusafa Center) in addition to distributing the questionnaire form to the specialists from the planning and executive departments of the study area to show the extent of their agreement and disagreement about the extent of the application of sustainable urban management indicators within the context of the work of the current urban management system. The results of the research showed a shortcoming in the adoption of the principles of sustainability within the context of the work of the current urban management, as the results of the questionnaire showed the non-conformity of most of the indicators that were applied to the current urban management system.


Sign in / Sign up

Export Citation Format

Share Document