Impact of Urban Rail Transit Network on Residential and Commercial Land Values in China: A Complex Network Perspective

Wen, Shiping; Shi, Jing; Zhang, Wei

doi:10.1155/2021/8849066

Cited by 9 publications

(3 citation statements)

References 48 publications

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“…Their results showed that high degree and low closeness centrality in the road network is correlated with improved ride-sharing accessibility, while betweenness centrality has no significant impact. Wen et al (2021) used network size and commonly used complex network metrics of average path length, and average clustering coefficient to identify the relationship between land value and topological properties of urban rail transit. The authors reported that land price is positively correlated with the number of nodes and the average clustering coefficient and negatively correlated with the average path length.…”

Section: Complex Network Approachesmentioning

confidence: 99%

Assessing the evolution of educational accessibility with self-avoiding random walk: insights from Helsinki

Aydin,

Yigitbasi,

Casali

et al. 2023

Appl Netw Sci

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Rapid urbanization has posed challenges to accessibility to critical services that require in-depth analysis. Complex networks theory has been used to evaluate the evolution of network topologies or the overall accessibility of transportation systems. However, topological metrics to explain the temporal changes in accessibility levels do not fully capture the dynamics and implications of accessibility to specific critical services. In this study, we address this gap and investigate the opportunities of using a self-avoiding random walk (SARW) algorithm to evaluate and explain the evolution of spatial accessibility to education facilities. We used hotspot analysis to understand the temporal changes and investigated changes in hot and cold spots over time. Furthermore, we explored the relationship between the network indicators and the SARW-based accessibility metric. We illustrated this method in a case study from Helsinki, where large-scale open data spanning from 1991 to 2016 is available. Our findings indicate that the SARW-based metric delivers more detailed node-level results than the traditional isochrone-based metric. The latter generates accessibility zones where accessibility is assumed to be uniform, while the SARW metric captures the dynamic nature of educational facility accessibility more accurately. The developed methodology helps to identify the impacts on the historical development of accessibility and can be applied to investigate accessibility to other critical services.

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Section: Complex Network Approachesmentioning

confidence: 99%

Assessing the evolution of educational accessibility with self-avoiding random walk: insights from Helsinki

Aydin,

Yigitbasi,

Casali

et al. 2023

Appl Netw Sci

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“…Urban rail transit experienced rapid development worldwide due to its advantages in reducing traffic congestion, greenhouse gas emissions and improving accessibility [1][2][3]. By the end of 2020, the total mileage of the urban rail transit (URT) in the world reached 33,346 km, and the total mileage in the mainland of China reached 7,970 km, ranking first worldwide.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Impacts of Passenger Demand on the Profitability of Different Types of Urban Rail Transit

Zhou

Mao

Peng

et al. 2023

PROMTT

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With the rapid development of urban rail transit (URT) in China, a contradiction between high costs and low passenger demand becomes prominent. Complete analysis of the impacts of passenger demand on the profitability of URT can be difficult to conduct, due to the multifaceted impact of passenger demand with multidimensional characteristics. To this end, we propose a strategy that helps to analyse the profitability of different types of URT, taking into account the spatial and temporal characteristics of demand. Based on data of the Shunde (SD) district in China, the profitability of metro, light rail transit (LRT), monorail and tram was evaluated. Results show the profitability under different demand levels. Tram might be the best choice at low demand levels. At medium demand levels, LRT and monorail are competitive. At high demand levels, LRT with medium to high capacity and low cost is a good alternative to metro, though the capacity of metro is higher. Utilizing the URT with high capacity under insufficient demand can aggravate the burden of depreciation, and make it hard to achieve profit. The spatial characteristics of the demand described in this paper reflect the problem of insufficient demand in marginal areas due to the diversified construction of URT.

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“…As an essential part of all urban traffic activities, the urban metro network plays a vital role in the sustainable development of modern cities [1][2][3]. The metro network system is a complex network composed of multiple nodes and edges, and its topology structure forms the cornerstone of how it functions [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Resilience Assessment of an Urban Metro Complex Network: A Case Study of the Zhengzhou Metro

Qi¹,

Meng²,

Zhao

et al. 2022

Sustainability

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An urban metro network is susceptible to becoming vulnerable and difficult to recover quickly in the face of an unexpected attack on account of the system’s complexity and the threat of various emergencies. Therefore, it is necessary to assess the resilience of urban metro networks. However, the research on resilience assessment of urban metro networks is still in the development stage, and it is better to conduct said research using a technique which combines many attributes, multiple methods, and several cases. Therefore, based on the complex network modeling and topological characteristics analysis of metro systems, a metro network’s robustness and vulnerability measurement method under node interruption and edge failure is proposed for the first time in this study. Then, considering the three cases of general station interruption, interchange station interruption, and traffic tunnel failure, a quantitative resilience assessment model of metro networks is put forward, and the corresponding recovery strategies are discussed. Finally, a case study of the Zhengzhou Metro Network (ZZMN) under an extreme rainstorm is conducted to demonstrate the viability of the proposed model. The results show that ZZMN possesses scale-free and small-world network properties, and it is robust to random interruptions but vulnerable to deliberate attacks. ZZMN still needs to improve its effectiveness in information transmission. The centrality distribution for each node in the ZZMN network differs significantly, and each node’s failure has a unique impact on the network. The larger the DC, BC, and PR of a node is, the lower the network’s robustness after its removal is, and the stronger the vulnerability is. Compared with the three cases of general station interruption, interchange station interruption, and traffic tunnel failure, the network loss caused by tunnel failure was the lowest, followed by general station interruption, and the interruption at interchange stations was the most costly. Given the failures under various cases, the metro management department should prioritize selecting the optimal recovery strategy to improve the resilience of the metro network system. This study’s findings can assist in making urban metro systems less vulnerable to emergencies and more resilient for a quick recovery, which can provide scientific theoretical guidance and decision support for the safety and resilient, sustainable development of urban metro systems.

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Impact of Urban Rail Transit Network on Residential and Commercial Land Values in China: A Complex Network Perspective

Cited by 9 publications

References 48 publications

Assessing the evolution of educational accessibility with self-avoiding random walk: insights from Helsinki

Assessing the evolution of educational accessibility with self-avoiding random walk: insights from Helsinki

Analysis of the Impacts of Passenger Demand on the Profitability of Different Types of Urban Rail Transit

Resilience Assessment of an Urban Metro Complex Network: A Case Study of the Zhengzhou Metro

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