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This chapter focuses on Chinese investments in Tajikistan's transportation and logistics infrastructure. This chapter studies the role and place of Chinese investments in the development of the transport and logistics infrastructure of Tajikistan, the country's exit from the transport and communication deadlock, and the transformation of Tajikistan into a transit country of the Central Asian region. The research raises the issues of the economic efficiency of these investments. The authors apply general scientific methods. Statistical and comparative methods are used to examine the investment cooperation between China and Tajikistan. Compared to other strategic partners of Tajikistan, China greatly contributes to the development of the Tajik economy and ranks first in the list of major investors. Chinese investment in transport made it possible to logistically connect Tajikistan to four neighboring countries through roads and railroads built and reconstructed by Chinese investors and companies. According to the analysis of the research topic, the effective use of Chinese investments for repairing and reconstructing the transport infrastructure of Tajikistan is important for improving the country's transport and logistics system. The two neighboring countries are using economic mechanisms to increase the effectiveness of direct financing by the Chinese government and private companies for transport projects to help Tajikistan overcome its communication isolation and become a transit country in the Central Asian region. This chapter analyzes the experience of successful transport projects with Chinese investments. The analysis showed that Chinese investments in transport have played a key role in improving Tajikistan's economic and social environment.

Revenue management (RM) is a significant technique to improve revenue with limited resources. With the macro environment of dramatically increasing transit capacity and rapid railway transport development in China, it is necessary to involve the theory of RM into the operation and decision of railway passenger transport.

This paper proposes the theory and framework of generalized RM of railway passenger transport (RMRPT), and the thoughts and methods of the main techniques in RMRPT, involving demand forecasting, line planning, inventory control, pricing strategies and information systems, are all studied and elaborated. The involved methods and techniques provide a sequential process to help with the decision-making for each stage of RMRPT. The corresponding techniques are integrated into the information system to support practical businesses in railway passenger transport.

The combination of the whole techniques devotes to railway benefit improvement and transit resource utilization and has been applied into the practical operation and organization of railway passenger transport.

The development of RMRPT would provide theoretical and technical support for the improvement of service quality as well as railway benefits and efficiency.

Close inspection of some of the more intricate details of the two most recent planning efforts, the award-winning Amman Plan 2025 and the strategic master plan known as the Amman Development Corridor Study (ADC), particularly in their most direct area of overlap, that is, the Metropolitan Growth Strategy.

Study and interpretation of published documents relevant to the plans in question.

The study reveals that the emerging objectives of accommodating migrant capital within the context of state-wide neo-liberal restructuring, particularly at the city’s eastern and south-eastern edge, have yet to benefit from recent scholarship on productive suburbanization.

Lack of data on Foreign Direct Investment in Amman.

The results have implications for the future urban growth scenario of Greater Amman.

Informal (illegal) building on the fringes of the city continues unabated. It is encouraged by permissive planning practice, a long-standing aspect of local practice dating to the 1970s. The longer that planning action lags, particularly at the eastern fringes, the more intense will be the informal building, and the higher the prospects for social conflict.

There has been only one, rather uncritical, published research on the Amman Plan, but none so far discussing the ADC study and its proposals.

The chapter contains an in-depth analysis of contemporary risks confronting terrestrial ecosystems and examines prominent strategies for biodiversity preservation, sustainable tourism, and ecological management. Agroforestry parks and ecological corridors emerge as central mechanisms for safeguarding biodiversity and enhancing habitat connectivity. The chapter delves also into the urgent task of combating desertification, exacerbated by climate change and unsustainable practices, with a particular emphasis on the challenges inherent in the realm of tourism. Within the context of tourism, the chapter identifies nature and adventure tourism as catalysts for fostering biodiversity conservation through emotive engagement, thereby stimulating visitor support for conservation policies. The imperative of sustainable tourism practices, underscored by a dedicated commitment to attenuating adverse impacts while optimizing positive outcomes, assumes paramount importance in this pursuit. The chapter underscores the strategic significance of managing visitor influxes, exemplified by techniques such as access limitations and temporal restrictions, as a key approach to mitigate issues of overcrowding and ecological deterioration.

In the existing era, international trade is boosted by maritime freight movement. The academicians and Government are concerned about environmental contamination caused by maritime goods that transit global growth and development. Digital technologies like blockchain help the maritime freight business to stay competitive in the digital age. This study aims to illuminate blockchain technology (BCT) adoption aspects to alleviate early industry adoption restrictions.

This study adopts a two-stage approach comprising of structural equation modeling (SEM) with artificial neural networks (ANN) to analyze critical factors influencing the adoption of BCT in the sustainable maritime freight industry.

The SEM findings from this study illustrate that social, organizational, technological and infrastructual and institutional factors affect BCT execution. Furthermore, the ANN technique uses the SEM data to determine that sustainability enabled digital freight training (S3), initial investment cost (O5) and trust over digital technology (G1) are the most essential blockchain deployment factors.

The hybrid approach aims to help decision-makers and policymakers examine their organizational blockchain adoption goals to construct sustainable, efficient and effective maritime freight transportation.