The purpose of the present study is to explain the long-run and causal effects of innovation, financial development, and transportation infrastructure on CO2 emissions using the combined ...cointegration and wavelet coherence approaches over the period from 1971 to 2018, while using economic growth as a control variable in the model. The outcomes of the Bayer-Hanck cointegration test show that there is an important cointegration equation among CO2 emissions, innovation, financial development, transportation infrastructure, and real GDP. Moreover, the findings from a wavelet power spectrum reveal that there is a significant vulnerability in innovation, financial development, transportation infrastructure, and CO2 emissions at different time frames and frequencies. Furthermore, the outcomes of wavelet coherence approach reveal that (i) Innovation is observed as a significant predictor of CO2 emissions over the period from 2007 to 2013; (ii) In the long run, there are negative correlations between CO2 emissions and financial development; (iii) Over the periods from 2000 to 2015, and from 1985 to 1989, transportation significantly causes CO2 emissions. Our findings have substantial policy implications that suggest there is a need to strengthen innovation and transportation infrastructure to achieve environmental sustainability targets.
•This study examines the determinants of CO2 emissions in China following COP21.•This study employs Bayer-Hanck cointegration and wavelet coherence approaches.•Transportation and innovation significantly cause CO2 emissions in the long run.•There is negative correlation between CO2 emissions and financial development.
High transportation costs have been a barrier to the expansion of agriculture in the interior of Brazil. To reduce transportation costs, Brazil launched the National Logistics Plan, aiming to expand ...its railway network by up to 91 % by 2035. Such a large-scale infrastructure investment raises concerns about its economic and environmental consequences. By combining geospatial estimation of transportation cost with a grid-resolving, multi-scale economic model that bridges fine-scale crop production with its trade and demand from national and global perspectives, we explore impacts of transportation infrastructure expansion on agricultural production, land use changes, and carbon emissions both locally and nationally in Brazil. We find that globally, the impacts on output and land use changes are small. However, within Brazil, the plan's primary impacts are impressive. PNL2035 results in the reduction of transportation costs by 8–23 % across states (depending on expansion's extent) in the interior Cerrado biome. This results in cropland expansion and increases in terrestrial carbon emissions in the Cerrado region. However, the increase in terrestrial carbon emissions in the Cerrado is offset by spillover effects elsewhere in Brazil, as crop production shifts away from the Southeast-South regions and accompanying change in the mix of transportation mode for farm products from roadway to more emission-efficient railway. Furthermore, we argue that the transportation infrastructure's impact on the enhanced mobility of labor and other agricultural inputs would further accentuate the regional shift in agricultural production and contribute to carbon emission mitigation. Upon its completion, PNL2035 is expected to result in the reduction of net national emissions by 1.8–30.7 million metric ton of CO2-equivalent, depending on the impacts on labor and purchased input mobility. We conclude that the omission of spillover effects due to infrastructure expansion can lead to misleading assessments of transport policies.
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•Brazil's logistic plan will expand railways by up to 90 %, its agricultural and environmental impacts remain under-addressed.•We combine geospatial analysis for cost estimation and a grid-resolving economic model to analyze the impacts of this plan.•This plan improves connectivity of the interior Cerrado biome, attracting crop production from Southeast-South regions.•Increase of carbon emission in Cerrado can be offset by spillover effects to Southeast-South, depending on input mobility.
•We explore the effects of transportation infrastructure on urban carbon emissions.•We use an improved STIRPAT model to analyze effects of transportation infrastructure on urban carbon emission by ...city scale.•We analyze channels through which transportation infrastructure affects emissions.•Transportation infrastructure increases urban carbon emissions and intensity.
Against the background of global warming, China faces the dual pressures of economic structural transformation and carbon emission reduction. While promoting economic development, the development and construction of transportation infrastructure has contributed to urban carbon emissions. Using an improved STIRPAT model, we examine panel data for 283 cities between 2003 and 2013 to explore the effects of transportation infrastructure on urban carbon emissions. The results show that transportation infrastructure increases urban carbon emissions and intensity. In addition, while the population scale effect of transportation infrastructure is conducive to decreasing carbon emissions, the economic growth and technological innovation effects of transportation infrastructure increase carbon emissions. Results also demonstrate that in large and medium-scale cities, construction of transportation infrastructure increases carbon emissions. In small cities, this relationship is not significant. Robustness tests support all findings. These results indicate that the effective development of carbon-abatement policies requires an examination of the effects of transportation infrastructure.
This research was conducted to analyze the feasibility of Jeneponto Regency as a location for a Dry Port in South Sulawesi and the impact it has on the selection of the Dry Port location. This ...research used a qualitative descriptive method and SWOT analysis aimed at analyzing data such as geographic data, supporting infrastructure, economic and social aspects, regional characteristics, and local government policies regarding regional development. In addition, field surveys and interviews were conducted with relevant parties, including government agencies, private institutions, academics or practitioners, and other stakeholders. The results of this research indicate that Jeneponto Regency has the potential to be a strategic location for a Dry Port, with a recorded area of 749.79 km2. The planning for the development of the Jeneponto Regency Dry Port is located in the Bontorappo Village area, Tarowang District, with an available land area of 1.85 hectares. This region has good accessibility through the main road network and is close to the Port of Makassar, one of the busiest ports in South Sulawesi. Furthermore, the potential for economic and industrial growth in this regency also provides promising opportunities for Dry Port development. The related impacts on the selection of the Dry Port location are assessed in terms of economic impact, impact on the smooth flow of cargo handling, and impact on regional development. The SWOT analysis results indicate that the positioning falls within quadrant I, which means that the development strategy of the Dry Port in Jeneponto Regency, South Sulawesi Province, supports an aggressive growth-oriented strategy. This situation is highly advantageous for the policies to be implemented, where the strength of the strategic location for Dry Port development positively impacts the efficiency and speed of goods delivery, and the opportunities for Dry Port development will create new job opportunities and have significant economic benefits for the local area. Therefore, based on the positioning in quadrant I, the Dry Port project in Jeneponto Regency has a high potential for rapid growth.
•Well-being and distributive justice after natural events are quantified.•Quantification is through novel connectivity-based metrics.•The presented metrics are probabilistic.•The procedure is applied ...to the transportation network of Seaside, OR.•The procedure is general and applicable to different communities.
Transportation infrastructure are critical systems supporting community well-being. Its impairment or failure due to hazardous events can lead to societal consequences which are typically challenging to identify, properly model, and quantify. Additionally, these consequences can exacerbate pre-existing distributive inequalities. The Capability Approach has been used to identify and quantify societal consequences in post-disaster scenarios. This paper introduces novel connectivity-based metrics within a Capability Approach framework to quantify well-being and distributive justice in the aftermath of a hazardous event. The paper proposes a methodology to link the ability of individuals to maintain health, be sheltered, be mobile, be educated, or earn income with the loss or reduction of functionality of transportation infrastructure, investigating both the short-term response (immediate impact), and the long-term recovery on the capabilities. As an example, the paper applies the proposed metrics to a real community subject to a seismic hazard. Results show that the different capabilities are impacted both in the response and recovery phases to different degrees.
•An energy harvester was developed to harvest the pavement deformation energy.•Six fabricated energy harvesters were successfully installed in real pavement.•Electric energy was generated from the ...loading applied by passing vehicles.•The relationship between energy generated and axle loading is identified.
This paper presents the development of a novel piezoelectric energy harvester (PEH) to harness the great amount of energy wasted by the vehicles on public roadways was described. The PEH is designed to convert the deformation energy induced by moving vehicle from pavement into electrical energy. The prototype harvester consists of PZT piezoceramic disks sealed in a protective package is developed. Six prototype PEHs were fabricated and installed in real pavement to evaluate the feasibility of this application. The electric productivity of the installed harvesters was evaluated by measuring the output voltage and current generated under real traffic. Instant and average power outputs are calculated from the measured waveforms of output voltage and current. The analysis of the testing results shows that the electrical productivity of the energy harvesters are highly relevant to the axle configuration and magnitude of passing vehicles.
Transportation infrastructure plays an important role in supporting the national economy and social well-being. Extreme events have caused terrible physical damages to the transportation ...infrastructure, with long-term socioeconomic impacts. An increasing number of studies focus on the resilience analysis of transportation infrastructure to support planning and design, as well as efficient management. As a comprehensive review, this paper covers different metrics for resilience assessments, with discussions of fundamental challenges due to uncertainties and interdependencies. It points out that validations of resilience assessments are limited due to the general scarcity of data, which may hinder practical applications. Finally, directions for future research are suggested. This paper provides an organized overview of the many lines of research in the field, accomplishments, and open gaps. It indicates useful starting points for researchers new to this field, and serves as a reference for teams already active on this topic.
Over the past two decades, China’s transportation infrastructure has expanded and emerged as a vital pillar of the national economy. In the context of commitments to carbon neutrality, it is ...imperative to assess how developing transportation infrastructure affects overall environmental goals. However, to the best of our knowledge, existing literature offers conflicting evidence about the overall impact of transportation infrastructure on carbon emissions. Using a novel spatial stochastic frontier model that accounts for spatial spillover and endogeneity, we find that previous research paradigms underestimated the contribution of transportation infrastructure to decarbonization: Instead of being a hindrance, the corrected effect substantially enhances decarbonization. These results remain robust in different weight matrices, instrumental variables, and distance function specifications. Furthermore, this study identifies economic agglomeration and technological innovation as key mechanisms of the decarbonization effect. From a regional perspective, we observe that western China shows the most pronounced emission reduction effect, followed by central China. In contrast, in eastern China, the transportation infrastructure does not support carbon emission reduction effectively. Therefore, policymakers should carefully consider the regional disparities in decarbonization and formulate distinct investment plans on transportation tailored to each region.
•Handle the spatial spillover and endogeneity in efficiency analysis.•The development of Chinese transportation infrastructure benefits decarbonization.•Identify two main mechanisms of the carbon emission reduction effect.
Strategic maintenance is essential for sustainable road infrastructure development. Accurate estimation of road maintenance effects can support the assessment of maintenance strategies and reasonable ...allocation of budgets and resources. Road deterioration is affected by sophisticated factors, but accurate investigation of the integrated deterioration factors is limited. This study developed a dynamic trade-off model (DTOM), a hybrid nonlinear and machine learning method, for quantifying temporally varied impacts of factors and examining maintenance effects at the network level. Pavement deterioration factors are classified into three categories: (i) historical observations of roughness, (ii) pavement age, and (iii) traffic, climate and environment factors. Their respective impacts on pavements are estimated using a non-linear least square regression, a joinpoint regression and a random forest model, respectively. Vehicle-based laser scanner monitored high-resolution deterioration data was collected for a large spatial scale road network in Western Australia from 2007 to 2018. Results show that the resurfacing and rehabilitation are essential for strategic reduction of deterioration. Twelve-year maintenance activities reduced the distress of roughness by 7.5% and increased road performance (the percentage of roads with roughness lower than 2.085 IRI) by 14.5% for the whole road network. The DTOM has great potentials in accurately assessing infrastructure maintenance effects and predicting deterioration scenarios.
Transportation infrastructure is a critical component to a nation’s economy, security, and wellbeing. In order to keep up with the rising population, there is a great need for more efficient and ...cost-effective technologies and techniques to not only repair the infrastructure, but also to advance and expand the transportation infrastructure to sustain the growing population. Building Information Modeling (BIM) has been widely adopted in the building industry, and its established methods and technologies show enormous potential in benefiting the transportation industry. The purpose of this paper is to present a literature review and critical analysis of BIM for transportation infrastructure. A total of 189 publications in the area of BIM for transportation infrastructure were reviewed, including journal articles, conference proceedings, and published reports. Additionally, schemas and file formats from 9 main categories and 34 areas related to transportation infrastructure were reviewed. An application was developed to collect, store, and analyze the publications. Various algorithms were developed and implemented to help in the automation and analysis of the review. The goal of this paper is to provide a comprehensive, up-to-date literature review and critical analysis of research areas regarding BIM for transportation infrastructure to further facilitate research and applications in this domain. Based on the results of the analysis, current topics and trends, applications and uses, emerging technologies, benefits, challenges and limitations, research gaps, and future needs are discussed. Significantly, the contribution of this paper is providing the foundation of current research, gaps, and emerging technologies needed to facilitate further research and applications for both academia and industry stakeholders to develop more efficient and cost-effective techniques necessary to repair, advance, and expand the transportation infrastructure. Furthermore, the results show that the use of BIM for transportation infrastructure has been increasing, although the research has mainly been focusing on roads, highways, and bridges. The results also reveal a major need for a standard neutral exchange format and schema to promote interoperability. Most importantly, the continuing collaboration between academia and industry is required to mitigate most challenges and to realize the full potential of BIM for transportation infrastructure.
•A literature review of BIM for transportation infrastructure is presented.•189 publications are critically reviewed (Journals, Conferences Proceedings, and Reports).•Interoperability is a major challenge and there is a need for a neutral exchange.•Research gaps and emerging technologies are presented.•BIM has great potential for improving infrastructure.
