Quantitative Evaluation for Road-Transport Industry Development Mode Transformation

2015 ◽  
Vol 744-746 ◽  
pp. 1858-1861
Author(s):  
Yong Zou

The development mode Transformation of road-transport in China is quantitatively evaluated with recent statistical data base on DEA. It is found that the overall level of China road-transport industry is still low after experienced a leap-over development. Further analysis indicates present level of Road-transport industry development mode mainly results from purely technical inefficiency. Moreover, research discover there are significant regional differences in road transport efficiency in China. Comparing with the technical inefficiency and scale inefficiency in western region ,the efficiency level in eastern region is relatively high,Finally, the paper proposes some corresponding measures to promote the efficiency of Road-transport industry development mode Transformation.

2021 ◽  
Vol 13 (18) ◽  
pp. 10475
Author(s):  
Yuwei He ◽  
Hui Zhang

Sustainable tourismization is a favorable development mode and pathway for the promotion of the coordinated development of the economy, society, and ecology. Based on the connotations of tourismization, a comprehensive evaluation index system of sustainable tourismization was constructed. This system consists of three dimensions: consumption tourismization, spatial tourismization, and industrial tourismization. The level, spatial, and temporal distribution characteristics, and differences in sustainable tourismization among China’s provinces from 2009 to 2018 were measured and analyzed using the improved entropy method, the Theil index, a spatial autocorrelation analysis, and other methods. It was found that the level of provincial sustainable tourismization in China has steadily increased over time, with the eastern region taking the lead. The overall differences and inter-regional differences in terms of the provincial sustainable tourismization level have generally decreased year-by-year. The intraregional differences within the eastern region were found to be the largest, and the rate of contribution of inter-regional differences to overall differences was shown to decrease gradually, while the rate of contribution of intraregional differences within the western region increased gradually. A positive spatial correlation in the provincial sustainable tourismization level was identified, and the spatial agglomeration effect showed an increasing trend. The spatial dependence was mainly characterized by “high–high” (HH) agglomeration, showing a ladder difference of “higher in the east and lower in the west”. The results of this study were used to identify where emphasis should be placed in terms of policy and strategy.


Author(s):  
Rob Heywood ◽  
Ross Gordon ◽  
Geoff Boully

A new Australian bridge design traffic loading standard for design and construction of Australian bridges was developed. The loading model is expected to set the bridge design standard for the next 25 years. This is an important visionary task, an investment for future improvements in transport efficiency, and an investment for our grandchildren, which was motivated by the increased transport efficiency that this generation has been able to achieve because of the investment of our grandparents. The challenge is to appropriately and effectively provide for the future in a manner that is consistent with the potential benefits and costs. The complexities of a range of traffic and vehicle loading scenarios, vehicle loading practices and enforcement, an infinite variety of bridge spans and forms of construction, and future unknown vehicle and bridge technologies are combined to develop, in collaboration with AUSTROADS and other interested bodies, a recommended bridge design load. The load model represents a substantial increase from the current design load to be one of the heaviest in the world. The load model’s features include a moving load model (M1600) that forms the basis for the application of dynamic load allowances, centrifugal and braking forces, and a stationary load model (S1600). The load model is designed to represent the traffic of the future and hence ensure the future productivity of Australia’s road transport industry. It is a bridge engineering contribution to Australia’s international competitiveness.


Work ◽  
2021 ◽  
pp. 1-9
Author(s):  
Marguerite C. Sendall ◽  
Alison Brodie ◽  
Laura K. McCosker ◽  
Phil Crane ◽  
Marylou Fleming ◽  
...  

BACKGROUND: There is little published research about managers’ views on implementing and embedding workplace health promotion interventions. OBJECTIVE: To shed light on research-to-practice challenges in implementing workplace health promotion interventions in the Australian road transport industry. METHODS: In this Participatory Action Research project, managers from small-to-midsized companies in the Australian road transport industry were asked their views about enablers and barriers to implementing nutrition and physical activity interventions in their workplace. RESULTS: Managers identified practical assistance with resources, ideas, and staffing as being key enablers to implementation. Barriers included time restraints, worker age and lack of interest, and workplace issues relating to costs and resources. CONCLUSION: Manager perspectives add new insights about successful implementation of workplace health promotion. A Participatory Action Research approach allows managers to develop their own ideas for adapting interventions to suit their workplace. These findings add to a small body of knowledge of managers’ views about implementing workplace health promotion in small-to-midsized road transport companies - a relatively unexplored group. Managers highlight the importance of time constraints and worker availability when designing interventions for the road transport industry. Managers require a good understanding of the workplaces’ socio-cultural context for successful health promotion and health behaviour change.


2021 ◽  
Vol 13 (3) ◽  
pp. 1147
Author(s):  
Xueyao Zhang ◽  
Hong Chen

This study was conducted to promote the construction of China’s ecological civilization; to reduce harm to the environment; to quantify the performance of agricultural green development (GD); and to truly achieve green, sustainable, and healthy agricultural development. From the perspectives of resources and the environment, first, information communication technology and the panel space measurement (PSM) model were adopted to analyze relevant indicator data from 2000 to 2019 in China’s 30 provinces. Second, China’s agriculture was measured to explore the overall characteristics, temporal changes, and regional differences of agricultural development. A panel data measurement model was constructed using the generalized least squares method, and the main factors affecting performance development were analyzed, which were verified by giving examples. Third, the governance countermeasures and improvement directors were proposed for agricultural GD in China. It is found that the driving force of performance of agricultural GD in China mainly depends on technological progress and that technological efficiency determines the speed of agricultural development. The regional differences in performance of agricultural GD are obvious in China. The growth in the performance of agricultural GD in the eastern region is much higher than that of the central, western, and northeast regions. In addition, the results show that the performance of agricultural GD is extremely positively correlated with the agricultural economic level, fiscal support for agriculture policy, and the industrialization process and that it is extremely negatively correlated with the level of opening-up, adjustment of agricultural structure, and the environmental regulatory capability of the government. As a result, this study can provide some ideas for the realization of agriculture GD in China.


2018 ◽  
Vol 8 (9) ◽  
pp. 1698 ◽  
Author(s):  
Fei Ma ◽  
Wenlin Wang ◽  
Qipeng Sun ◽  
Fei Liu ◽  
Xiaodan Li

Undesirable outputs, such as carbon emissions and loss of property due to traffic accidents, hold great significance for the sustainable development of the transport industry. In this study, we applied a super-efficiency data envelopment analysis model with a slack-based measure (Super-SBM DEA) considering undesirable outputs to measure the integrated transport efficiency (ITE) of 31 provinces in China during the period of 2009–2016. Following this, we used a spatial autocorrelation model to test and verify the spatial autocorrelation of the ITEs at the level of the 31 provinces, and further to explore the aggregating features. Finally, considering the spatial effects that emerged, we constructed a β-convergence model to analyze the convergence characteristics of China’s ITEs and investigate its conditional factors. The research results show that the average ITE demonstrated a linear growth trend; the effective decision-making units (the ITE value was greater than 1) are only 11 provinces, accounting for about 35% by 2016. The mean of ITEs was also found to present a law of decreasing order of Eastern, Central and Western Zones. However, the Central Zone and Western Zone have a better efficiency improvement trend compared to the Eastern Zone. The Moran’s I index was bigger than zero, indicating that the ITEs formed a spatial autocorrelation phenomenon. The Moran scatter plots further showed that the provincial ITEs mainly followed the patterns of high–high, high–low and low–low aggregation. The ITE of the 31 provinces was found to have a clear absolute β-convergence and conditional β-convergence characteristics. Moreover, the level of economic development, household per capita traffic consumption, transport industry scale, technology advancement and transport intensity were all seen to have an important impact on the convergence of integrated transport efficiency. It is hoped that the findings of this study may contribute further insights and practical knowledge to effectively measuring the development level of China’s integrated transport efficiency, and to understanding future changes in the ITE gap among Chinese provinces.


2019 ◽  
pp. 15-23
Author(s):  
Owen Jones ◽  
Keith Edwards ◽  
Greg Weller

Spatium ◽  
2010 ◽  
pp. 29-37 ◽  
Author(s):  
Marijana Pantic ◽  
Jelena Zivanovic-Miljkovic

As one of the signs of demographic change, population aging influences various spatial categories: economic activities, social features, land-use, perspectives for future development and more. Even though the process is indicative on a national level, there are significant differences among geographically and functionally distinctive regions. Based on considerable regional differences in the development of Serbia, this paper analyses the key problems of rural areas related to the interdependences of population aging and agricultural activities. Research on aging processes, changes in agricultural activities and their features is based here on the examples of two case studies. The Indjija and Knjazevac Municipalities have been chosen to represent geographically different regions - lowland and mountainous. This study uses both quantitative and qualitative approaches in order to achieve a better understanding of the situation. Statistical data were used to illustrate processes of aging and agriculture where data from two census years indicate a trend of changes. Interviews conducted with representatives of local government, entrepreneurs and local citizens from the villages are the source of information for quantitative analysis. Population aging and agriculture are examined separately, followed by an illustration of their interdependences.


2020 ◽  
Vol 2 (2) ◽  
pp. 105-121
Author(s):  
Madumere Humphrey Ikenna ◽  
Dickson Ben Uche ◽  
Agu Godswill Agu

The purpose of this was to investigate the relationship between perceived service quality and customer loyalty in the road transport industry in Nigeria. Leveraging the RATER service quality model, only reliability, tangibles and responsiveness were explored. Participants were drawn from the customer base of organized road transport firms operating in the South East of Nigeria. Being a quantitative survey, results from 318 valid responses were analyzed with SPSS version 21.  Findings indicate that the three constructs (reliability, tangibles, and responsiveness) are significant predictors of customer loyalty, with reliability having the greatest influence, followed by responsiveness and tangibles. The study recommends steady monitoring of service quality as a step towards customer loyalty in the highly competitive road transport industry in Nigeria.


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