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"Transportation infrastructure"
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Effect of Transportation Infrastructure on Built-up Area Using Prediction of Land Use/Cover Change: Case Study of Yogyakarta International Airport, Indonesia
The development of transportation infrastructure increases the pressure on natural resources, one of which is the increase in the built-up area. The changes do not only happen during the construction of transportation infrastructure but also after its completion. Therefore, this study aims to identify and simulate land use/cover changes in Kulon Progo Regency, Indonesia, to predict the effect of the construction of Yogyakarta International Airport (YIA). A quantitative descriptive method was used with the main data of multitemporal Landsat remote sensing images. Furthermore, the integration of Cellular Automata and Artificial Neural Networks (CA-ANN) was applied to simulate land use/cover change predictions (2035). The results of image classification using the supervised maximum likelihood classification showed an overall accuracy of 85.33% and 86.67% for 2011, and 2015 with 2019 using Landsat 7 and 8 images, respectively. Meanwhile, there was an increase in paddy fields of 1,210.1 ha (2.11%) and built-up area by 2,708.6 ha (4.72%) during 2011 – 2019. Conversely, shrubs and dryland agriculture decreased by 1,594.1 ha (2.78%) and 2,174.1 ha (3.79%). The simulation results indicate that the development of transportation infrastructure further triggers the increase in built-up area, especially around the YIA. Therefore, policymakers and development implementers should adopt and implement appropriate and effective planning for sustainable land use.
Journal Article
Economic Growth and Infrastructure Investments in Energy and Transportation: A Causality Interpretation of China's Western Development Strategy
Were the large investments in energy and transportation infrastructure effective in fostering economic growth? Or did economic growth trigger these infrastructure developments? To answer these questions, we develop a simple model of production capacity constraints and use China's Western Development Strategy (WDS) as an example to investigate how the relationships among energy investment, transportation infrastructure expansion and economic growth differ in the pre- and post-WDS periods. Our Granger causality analysis uses a panel data sample for China's 30 provinces in the Western and non-Western regions for the period of 1991–2012. We find Granger causality only in the post-WDS period from transportation infrastructure expansion to economic growth and from economic growth to energy investment. These results suggest energy and transportation capacity constraints in the post-WDS period but not the pre-WDS period. Their policy implication is that China should continue its energy and transportation infrastructure investments with improved coordination.
Journal Article
Does the Construction of Transportation Infrastructure Enhance Regional Innovation Capabilities: Evidence from China
Based on the data of various provinces in China from 1996 to 2018, this article empirically tests the impact of transportation infrastructure on innovation capabilities. The empirical results show that the impact of transportation infrastructure on regional innovation capability is positive and significant, and this impact has a very significant lag effect. In addition, the impact of transportation infrastructure on regional innovation capabilities has obvious regional heterogeneity, which is more pronounced in the relatively backward economy in western China. Finally, we analyzed the mechanism of transportation infrastructure on regional innovation capabilities by constructing an intermediary effect model.
Journal Article
Transport Infrastructure Quality and Logistics Performance in Exports
The quality of transport infrastructure and the efficiency of logistics services enhance economic development. This study measures the effects of transport-freight common modals and logistics performance on the exports of goods in 29 developing economies based on micro fixed-effects panel data for the period 2012–2018. The endogenous model proved a positive relationship with countries’ outward orientation, highlighting the importance of transport infrastructure and logistics resources. The results revealed that the quality of roads and ports contribute significantly to higher exports in developing economies. However, the quality of airport infrastructure and logistics show a harmful effect. Notably, the logistics services level is a detrimental factor impacting the export of goods in developing economies. These results may adversely impact the potential contributions of other transport assets based on intermodal transport functionality and global market participation. Therefore, governments should prioritize formulating innovative policies and integration strategies with the private sector to improve the performance of logistics providers and fully utilize current transportation assets, particularly airports. These plans will facilitate higher exports, yield better development, and improve economic competitiveness while expanding export product diversification opportunities.
Journal Article
Infrastructural monument
Infrastructural monument presents the proceedings of the first of two conferences organized by MIT's new Center for Advanced Urbanism around the biennial theme of infrastructure. Held in the spring of 2013, the \"Infrastructural Monument\" conference gathered designers, developers, policy experts, and scholars to address the potential to leverage infrastructure design beyond the realm of transportation of goods and labor into the realm of culture, public space, architecture, and landscape form. In other words, can infrastructure transcend mere practicality and fulfill a role that is profoundly cultural? Can targeted infrastructure projects transform a city from a collection of fragments to one with a common and cohesive regional identity?
Book
Digital Twin Technology in Transportation Infrastructure: A Comprehensive Survey of Current Applications, Challenges, and Future Directions
Transportation infrastructure is central to economic development and the daily lives of citizens. However, rapid urbanization, increasing vehicle ownership, and growing concerns about sustainable development have significantly heightened the complexity of managing these systems. Although digital twin (DT) technology holds great promise, most current research focuses on specific areas, lacking a comprehensive framework that spans the entire lifecycle of transportation infrastructure, from planning and construction to operation and maintenance. The technical challenges of integrating different DT systems remain unclear, which to some extent limits the potential of DT technology in the management of transportation infrastructure. To address this gap, this review first summarizes the fundamental concepts and architectures involved in DT systems for transportation infrastructure, such as roads, bridges, tunnels, and hubs. From a lifecycle perspective, DT systems for transportation infrastructure are categorized based on functional scope, data integration methods, and application stages, and their key technologies and basic frameworks are outlined. Subsequently, the potential applications of DT in various lifecycle stages of transportation infrastructure—planning and construction, operation and maintenance, and decommissioning and renewal—are analyzed, and current research progress is reviewed and discussed. Finally, the challenges and future directions for achieving a full lifecycle DT system for transportation infrastructure, encompassing technical, operational, and ethical aspects, are discussed and summarized. The insights gained herein will be valuable for researchers, urban planners, engineers, and policymakers.
Journal Article