Comprehensive Evaluation of Urban Integrated Transportation Network With Multivariate Statistical Analysis: A Case Study of Haimen

Zheng, Changjiang; Gu, Yuhang; Shen, Jinxing; Du, Muqing; Ma, Genghua; Sun, Kai

doi:10.1109/access.2021.3132169

Cited by 6 publications

(5 citation statements)

References 46 publications

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“…In the evaluation of the current situation of the transportation network, various mathematical analysis methods can be used to establish a comprehensive transportation network evaluation model [9,10], including the density, scale, structure, and other aspects of the transportation network, and judge the deficiencies of the transportation network layout according to the evaluation results. In traffic analysis, multi-source data such as license plate recognition (LPR) data, cellular signal (CS) data, AVI data, IC card data, taxi GPS data, and other multi-source data can be used to extract traffic origin and destination (OD) information [11,12], analyze travel demand, and provide a basis for urban transportation planning.…”

Section: Literature Reviewmentioning

confidence: 99%

A Model Assembly Approach of Planning Urban–Rural Transportation Network: A Case Study of Jiangxia District, Wuhan, China

Zhao

et al. 2023

Sustainability

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Planning transportation networks between urban and rural areas is of crucial importance for the integration of urban and rural development, for socio-economic connectivity, and for sustainable growth. The study offers a model assembly approach in order to logically plan an integrated urban–rural transportation network that may support the coordinated development of its living–production–ecological space. Within this approach, the ordinary least squares (OLS) linear regression analysis method is used to investigate the correlation between urban and rural areas of a transportation network and the influencing factors in the living–production–ecological space so as to objectively analyze their degree of influence. These factors are size of town, urban and rural settlements, life services, supporting transportation facilities, trunk layout, external transport links, cargo hubs, logistics and transportation, enterprise distribution, agricultural production, terrain, distribution of water systems, tourism resources, heritage preservation, and ecological protection. The analytic hierarchy method is used to assign weight to the urban and rural transportation network planning impact index system. As a result, a transportation network planning decision hierarchy model is implemented to identify suitable areas for urban and rural transportation network construction and to provide guidance and reference for planning. Jiangxia District, Wuhan, China is selected as the study area to verify the feasibility and effectiveness of the model. The findings indicate that the influencing factors of urban and rural industrial and ecological space have a significant impact on the transportation network in the research area. Planning should prioritize optimizing the central region’s transportation network structure and enhancing traffic flow between urban and rural communities, which is effectively in line with the current reality. The suggested approach is helpful in establishing case-study-specific planning and development strategies of urban and rural integrated transportation networks in the age of big data, as well as in balancing these influencing factors in living, production, and ecological spaces when planning an integrated urban and rural transportation network.

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Section: Literature Reviewmentioning

confidence: 99%

A Model Assembly Approach of Planning Urban–Rural Transportation Network: A Case Study of Jiangxia District, Wuhan, China

Zhao

et al. 2023

Sustainability

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“…In 27 , based on AHP and improved EWM, a comprehensive evaluation method combining subjective and objective was proposed to evaluate the equipment utilization rate of a medium voltage distribution network in Guangdong. 28 put forward a weight design scheme that first calculates the weight with AHP, and then modified the weight with EWM to evaluate urban comprehensive transportation network.…”

Section: Related Workmentioning

confidence: 99%

“…Different from the 16,[26][27][28] that made a comprehensive evaluation weight from the perspective of weighted summation and alternate revision of weight design scheme, in the paper, an evaluation scheme is designed, which combines expert experience as weighting factors, the weighted geometric mean (WGMM) method, and the WLSM to make the evaluation index weight more stable and accurate. In addition, in view of the fact that some dimension indexes may be wrongly marked by multiple experts, this paper designs a scheme to deal with abnormal dimension indexes, which increases the usability of small sample data by automatically correcting abnormal data.…”

Section: Related Workmentioning

confidence: 99%

Research on evaluation index method of cloud-network convergence capability

Ma,

Chen,

Wang

et al. 2023

Sci Rep

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There is no measurable and evaluable index system for cloud-network convergence that provides guidance and reference for the subsequent construction and development of cloud-network convergence. It is a big project to select and evaluate the indexes of cloud-network convergence, which requires suitable index selection and index evaluation schemes. Based on analytic hierarchy process (AHP) and entropy weight method, this paper proposes an improved AHP (i-AHP) index selection scheme and index evaluation scheme leveraging the years of experts’ experience, the geometric mean and the least square method. The improved weighted least square method (WLSM) is finally proved to be more stable for index evaluation scheme by adding abnormal data. In addition, the index weight obtained by the index evaluation scheme with WLSM are provided as a reference for the future development of cloud-network convergence. The simulation results show that the proposed scheme is superior to the existing index evaluation scheme and can avoid the weight deviation caused by the disturbance and fluctuation of abnormal data.

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“…Although railways have a nationwide network and huge transport capacity, it has not been fully utilized. In 2019, highway transport of CLL accounted for 89.7%, followed by waterway and airway transport, representing 8.1% and 1.2% separately, after which just 1% of CCL is transported by railway, indicating the current logistic transport framework urgently needs transformation and updates [7]. By the way, waterway transport is also a common cargo long-haul delivery mode [8].…”

Section: Introductionmentioning

confidence: 99%

Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm

Zheng

Sun

et al. 2022

Journal of Advanced Transportation

Self Cite

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Multimodal transport is a process of effectively moving cargoes in a single container by combining land transport (road or rail) and maritime or river transport (vessel or barge) in one transport chain. However, cold chain logistics (CCL), as a special while major kind of cargo delivery, has not been incorporated with this beneficial combination. In order to realize efficient delivery of cold chain foods (CCF), in this study, the characteristics of multimodal and CCL are analyzed and integrated to select the optimal logistics path. In establishing the path-selection model, customer satisfaction is introduced, which is reflected by arrival punctuality and the quality of CCF. An improved particle swarm optimization algorithm (IPSO) is introduced to address the model and is proven to retain a fast convergence rate and achieve outstanding solving accuracy through the experimental study. Sensitivity analysis is also conducted to present the impact of railway speed and cost variation on path selection. Results show that compared with highway transport, railway transport is preferable to the medium and long distance. The influence of railway speed improvement is more striking than cost reduction in motivating decision makers to choose railway transport mode in logistics operations.

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Comprehensive Evaluation of Urban Integrated Transportation Network With Multivariate Statistical Analysis: A Case Study of Haimen

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 6 publications

References 46 publications

A Model Assembly Approach of Planning Urban–Rural Transportation Network: A Case Study of Jiangxia District, Wuhan, China

A Model Assembly Approach of Planning Urban–Rural Transportation Network: A Case Study of Jiangxia District, Wuhan, China

Research on evaluation index method of cloud-network convergence capability

Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm

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