scholarly journals A Clustering Refinement Approach for Revealing Urban Spatial Structure from Smart Card Data

2020 ◽  
Vol 10 (16) ◽  
pp. 5606
Author(s):  
Liyang Tang ◽  
Yang Zhao ◽  
Kwok Leung Tsui ◽  
Yuxin He ◽  
Liwei Pan
Keyword(s):  
Spatial Structure ◽  
Smart Card ◽  
Rapid Development ◽  
Urban Spatial Structure ◽  
Data Intensive ◽  
Multiple Clusterings ◽  
Sensing Technology ◽  
Smart Card Data ◽  
Government Planning ◽  
Subway Stations

Facilitated by rapid development of the data-intensive techniques together with communication and sensing technology, we can take advantage of smart card data collected through Automatic Fare Collection (AFC) systems to establish connections between public transit and urban spatial structure. In this paper, with a case study on Shenzhen metro system in China, we investigate the agglomeration pattern of passenger flow among subway stations. Specifically, leveraging inbound and outbound passenger flows at subway stations, we propose a clustering refinement approach based on cluster member stability among multiple clusterings produced by isomorphic or heterogeneous clusterers. Furthermore, we validate and elaborate five clusters of subway stations in terms of regional functionality and urban planning by comparing station clusters with reference to government planning policies and regulations of Shenzhen city. Additionally, outlier stations with ambiguous functionalities are detected using proposed clustering refinement framework.

Mapping multimodal random accessibility using smart card data: a case study of bus and subway stations in Beijing

2021 ◽  
pp. 1-24
Author(s):  
Wentao Yu ◽  
Huijun Sun ◽  
Jianjun Wu ◽  
Ying Lv ◽  
Xiaoting Shang ◽  
...  
Keyword(s):  
Smart Card ◽  
Smart Card Data ◽  
Subway Stations

scholarly journals Using Smart Card Data of Metro Passengers to Unveil the Urban Spatial Structure: A Case Study of Xi’an, China

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Guohong Cheng ◽  
Shichao Sun ◽  
Linlin Zhou ◽  
Guanzhong Wu
Keyword(s):  
Smart Card ◽  
Policy Implications ◽  
Transport Sector ◽  
Urban Structure ◽  
Urban Spatial Structure ◽  
Smart Card Data ◽  
Western Area ◽  
Metro Systems ◽  
The City

This study adopted smart card data collected from metro systems to identify city centers and illustrate how city centers interacted with other regions. A case study of Xi’an, China, was given. Specifically, inflow and outflow patterns of metro passengers were characterized to measure the degree of population agglomeration of an area, i.e., the centricity of an area. On this basis, in order to overcome the problem of determining the boundaries of the city centers, Moran’s I was adopted to examine the spatial correlation between the inflow and outflow of ridership of adjacent areas. Three residential centers and two employee centers were identified, which demonstrated the polycentricity of urban structure of Xi’an. With the identified polycenters, the dominant spatial connections with each city center were investigated through a multiple linkage analysis method. The results indicated that there were significant connections between residential centers and employee centers. Moreover, metro passengers (commuters mostly) flowing into the identified employee centers during morning peak-hours mainly came from the northern and western area of Xi’an. This was consistent with the interpretation of current urban planning, which validated the effectiveness of the proposed methods. Policy implications were provided for the transport sector and public transport operators.

Analysis of Spatial Evolution Characteristics in Songyuan Main Urban Area Based on Space Syntax

2014 ◽  
Vol 507 ◽  
pp. 561-565
Author(s):  
Jing Lv ◽  
Lu Lu Gu ◽  
Feng Wen Yang
Keyword(s):  
Spatial Structure ◽  
Urban Area ◽  
Rapid Development ◽  
Space Syntax ◽  
Master Plan ◽  
Spatial Evolution ◽  
Urban Spatial Structure ◽  
Evolution Characteristics

Nearly 30 years, the mining and processing of oil greatly boost the rapid development of Songyuan economy, and urban spatial structure has also undergone a change in the accompanying. This paper attempts to use the method of space syntax to analyze space integration and intelligibility of Songyuan main urban area in 1986, 1993, 2000 and 2012, which expects to summarize spatial evolution characteristics and discipline of every stage in Songyuan city, thus guides the revision of future master plan specifically.

scholarly journals Impact of a New Metro Line: Analysis of Metro Passenger Flow and Travel Time Based on Smart Card Data

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Xiao Fu ◽  
Yu Gu
Keyword(s):  
Travel Time ◽  
Smart Card ◽  
Rapid Development ◽  
Flow Distribution ◽  
Urban Rail Transit ◽  
Mobility Patterns ◽  
Passenger Flow ◽  
Smart Card Data ◽  
The Impact ◽  
Metro Network

Over the past few decades, massive volumes of smart card data from metro systems have been used to investigate passengers’ mobility patterns and assess the performance of metro network. With the rapid development of urban rail transit in densely populated areas, new metro lines are constantly designed and operated in recent years. The appearance of new metro lines may significantly affect passenger flow and travel time in the metro network. In this study, smart card data of metro system from Nanjing, China, are used to study the changes of metro passenger flow and travel time due to the operation of a new metro line (i.e., Line 4, opened on 18 January 2017). The impact of the new metro line on passenger flow distribution and travel time in the metro network is first analysed. As commuting is one of the major purposes of metro trips, the impact of the new metro line on commuters’ trips is then explicitly investigated. The results show that the new metro line influences passenger flow, travel time, and travel time reliability in the metro network and has different impacts on different categories of commuters.

scholarly journals Dynamic Study of Intelligent Traffic Behaviour Based on Multiple Traffic Modes

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Hongwei Jing ◽  
Xiaoming Li ◽  
Guangquan Xu ◽  
Mengli Zhu ◽  
Li Shen ◽  
...  
Keyword(s):  
Spatial Structure ◽  
Power Law ◽  
Smart Cities ◽  
Rapid Development ◽  
Urban Spatial Structure ◽  
Power Law Distribution ◽  
Dynamic Relationship ◽  
Bike Sharing ◽  
The Relationship ◽  
The City

With the rapid development of society, the traffic problem has become increasingly severe, and the traditional methods can no longer effectively solve the current social traffic behaviour problems. Although studies on the dynamics of human traffic behaviour based on traffic modes can effectively reveal the anomalies in traffic behaviour, few studies integrate intelligent traffic behaviour with multiple traffic modes. Based on the numerous traffic data of bike-sharing and ride-hailing in a Chinese city, this paper reveals the dynamic characteristics of various traffic behaviours in the city by combining spatiotemporal characteristics index and urban spatial structure with human traffic behaviour patterns. The experimental results show that the traffic behaviour of the town presents a double logarithmic power-law distribution in time characteristics, and there is a close interdependent dynamic relationship with the city’s spatial structure. The research in this paper can reveal the relationship between bimodal power-law distribution and spatial characteristics in complex systems and help solve social traffic problems effectively in social reality. Further research results can provide practical planning guidance for the behavioural integration of multiple traffic in smart cities.

scholarly journals MAT: GIS-Based Morphometry Assessment Tools for Concave Landforms

2021 ◽  
Vol 13 (14) ◽  
pp. 2810
Author(s):  
Joanna Gudowicz ◽  
Renata Paluszkiewicz
Keyword(s):  
Rapid Development ◽  
Assessment Tools ◽  
Lidar Data ◽  
Automatic Extraction ◽  
Sensing Technology ◽  
Digital Elevation ◽  
Elevation Data ◽  
Elevation Model ◽  
Morphometric Assessment ◽  
Morphometric Evaluation

The rapid development of remote sensing technology for obtaining high-resolution digital elevation models (DEMs) in recent years has made them more and more widely available and has allowed them to be used for morphometric assessment of concave landforms, such as valleys, gullies, glacial cirques, sinkholes, craters, and others. The aim of this study was to develop a geographic information systems (GIS) toolbox for the automatic extraction of 26 morphometric characteristics, which include the geometry, hypsometry, and volume of concave landforms. The Morphometry Assessment Tools (MAT) toolbox in the ArcGIS software was developed. The required input data are a digital elevation model and the form boundary as a vector layer. The method was successfully tested on an example of 21 erosion-denudation valleys located in the young glacial area of northwest Poland. Calculations were based on elevation data collected in the field and LiDAR data. The results obtained with the tool showed differences in the assessment of the volume parameter at the average level of 12%, when comparing the field data and LiDAR data. The algorithm can also be applied to other types of concave forms, as well as being based on other DEM data sources, which makes it a universal tool for morphometric evaluation.

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