Current models for evaluating sustainable transport corridors often lack a comprehensive framework capturing the multifaceted performance measures vital for holistic assessment especially at the early stages of operation, when detailed information on the performance indicators of these transport corridors is not available. This gap motivates a Petri net-based modeling approach that integrates key sustainability indicators into a flexible simulation tool. This paper details a versatile methodology harnessing Petri nets, specifically Evaluation Petri nets (E-Nets), to assess corridor sustainability across environmental, social, and economic dimensions. The proposed framework equips planners and policymakers to explore diverse green corridor configurations under varying conditions. Case studies showcase the model’s capabilities in analyzing real-world corridors, identifying performance bottlenecks, and comparing alternative solutions. The model provides a practical decision-support tool to strengthen strategies for efficient, socially responsible, and environmentally sound transport infrastructure.
The sintection reviews previous studies on sustainablernational transport corridors serve as the backbone of global trade and commerce, facilitating the movement of goods and passengers across various regions and countries. Traditionally, these corridors have been optimized for efficiency and capacity, emphasizing the speed and volume of transit.
However, with such expansiort corridorsn, the environmental implications become more pronounced, often leading to detrimental impacts on our planet. The literature review covers various realization of these environmental concerns, combined with the urgency to address climate change, has given birth to the concept of green transport corridors [1].
The concept of green transportudies and models related to corridors has emerged as a pivotal paradigm in the realm of international trade and sustainable transportdevelopment. These corridors, early frameworks and conceptualizations, and policy are not merely redesigned pathways for the transit of goods; they represent a fundamental shift in the approach to the efficiency, environmental impact, and regulation. It looks at early ideas and frameworks for adding sustainability to transport planning. It discusses diffsilience of global supply chains. As the world gravitates towards more sustainable practices, the transportation sector, being one of the significant contributors to greenhouse gas emissions, is undergoing a green transformation. This transformation encompasses a broad spectrum of interventions, ranging from the incorporation of renewable energy sources and energy-efficient technologies to the adoption of eco-friendly logistics and operational practices.
However, thent methods used before to model and e nascent nature of green transport corridors brings forth a set of unique challenges. One of the primary hurdles is the evaluate coion of the effectiveness of such corridors. It talks about policie in achieving their intended environmental and economic objectives. Traditional metrics and regulations related to sustainability in models employed for assessing transport corridors may not fully capture the nuances of their green counterparts. Therefore, there is a pressing need for novel approaches to model and analyze green transport corridors. It mentions rec to facilitate their planning, implementation, and continuous improvement.
Paper [2] thoroughly investigat research ones the hurdles in creating a decarbonized transport system, identifies sustainable infrastructure and green corridors. It also covers studies on social and economic impacts of corridorpractices to reduce greenhouse gases, and reviews cutting-edge research enhancing transport sustainability. Through a systematic literature review, it delves into the primary barriers to sustainable transportation across regulatory, technological, financial, organizational, and social aspects. The importance of using multippaper then explores new methods promoting sustainable transport modes is highlighted from other papers. The review also addresses modeling and assesand discusses key policy measures to encourage sustainable mobility. The insights offered are intended to aid managers and policymakers in comprehensively understanding and building sustainable transport systems.
Study [3] analyzesm the rent techniques, including the need for reliable data and robust models,lationship between sustainable transport infrastructure and economic returns through bibliometric and visualization analysis from 2000 to 2019. The results highlight key articles, journals, and authors contributing to sustainable transport infrastructure research and define sub-areas and the role of policy-driven remes within this field. The study observes the evolution of major topics over two decades and anticipates shifts in future research in shapingdirections. Conclusively, it provides insights that could guide further research on sustainable transport systems.
Book [4] emphasizes the significoance of corridors Some e concepts in economic development, highlighting their role in established models used in Europe are explaineding efficient and sustainable logistics systems. The discussion encompasses various types of corridors including development, economic, multimodal transport, transit, trade, logistics, core corridors, and ancillary networks. The need for focus of the book is particularly on the concept of multimodal transport corridors.
The genewsis flexible modelof sustainable transport corridor discussions can be traced back to works like [5,6], who laid the E-Ngroundwork by intet method proposed in this paper is shown based on limitgrating the principles of sustainable development into transport planning. These pioneering studies were instrumental in introducing sustainability considerations of currentinto the discourse on transport infrastructure.
Paper m[7] providels.
Thes sectiona concludes with an overmprehensive quantitative review of the concept of greeneconomic impacts of transport corridors and the challenges and prospectivfocusing on roads, rails, and waterways. A meta-analysis reveals that such infrastructure projects in developing logistics systems like the New Silk Road.
Tgenerally boost economic welfare and equity but can negatively impact environmental quality and social inclusion. The study suggests that policymakers should implement complementary measures to mitigate potential downsides, highlightis section presents a meng the need for more research to understand the diverse effects across different areas and communities.
Arthodoiclogye [8] for modeling sustainableeviews various studies on the development of transport corridors using Evaluation Petri nets (E-Netnetworks, advocating for a unified methodology in designing multimodal transport networks (MTNs). It first iintroduces the concept of green transport corridors as multimodal netwo a set-theoretic model that outlines strategies for altering the structure and capacity of MTN components. This model serves as the mathematical foundation for the proposed methodology of MTN design and its subsequent evolution.
Paperks [9] introdesigned for sustainability.
Ituces a forward-looking methodology to predict future port transit throughput volumes, combining scenario planning, then discusses the role ofconometrics, and heuristic calculations. Central to the method are gravity modeling as a tool for a holistics for estimating potential international trade flows and a novel approach for assessing transport corridors’ attractiveness. The study uses a global business network approach to developing sustainable c various scenarios based on key domestic and international factors. It quantitatively evaluates the effects of these factors on port throughput across different goods categories, assigning trade flows to the most attractive corridors. Modeling helps in understandi This methodology offers valuable insights for port authorities globally in strategic planning amidst uncertainties in international trade and logistics.
Article [10] presents ang, analysis, prediction and decision support across strategic, tactical andmodeling, and performance assessment of supply chains utilizing long-distance intercontinental intermodal rail/road and sea-shipping freight transport corridors. The study establishes a methodology to evaluate the operational levels.
A, economic, environmental, taxonomy of sustainnd social performance of these corridors, considering their infrastructural and technical capability indicators for tries. Using “what-if” scenario analysis, the methodology is applied to assess the performance of inland and maritime freight transport corridors is proposed, categorizing them into environmental, social, economic, technical, governance, evaluatbetween China and Europe, as part of the “Silk Road Economic Belt” and “A New Maritime Silk Road” initiatives. The findings suggest that the intermodal inland rail/road option could be a competitive alternative to maritime routes under certain conditions, though significant investments in inland infrastructure are necessary to effectively connect China with Europe.
The environ and integration factors.
Thmental challenges posed by transit transportation in the Land–Sea Corridor are discussed in paper [11]. Thexp articlains how E-Nets are well-suited for modeling the complex, concurrent ae identifies challenges in establishing this framework, including limited ecological security capacity in transit countries, inadequate collective international environmental efforts, misuse of environmental protections causing trade barriers, and conflicting legal outcomes in environmental lawsuits.
With the emergendce of dynamic aspects of transport corsustainability as a critical objective, researchers began to focus on quantitative models. Notable contributions include the work of McKinnon [12], who intrioducedors. It provides a ste a framework for measuring the carbon footprint of logistics activities, and Piecyk and McKinnon [13], who p-by-strovidepd methodology for constructing an E-Neies for assessing the environmental impact of transport corridors. These studies underscored the need for reliable data and robust model incorporing techniques in the appraisal of transport corridors.
Study [14] investigaties the long sustainability KPIs as transitions and positions within the net structure.
M-term effects of the Kazakhstan infrastructure program on national firm behavior, using dynamic panel data regression and micro shipping data to track transport connectivity over a decade. The findings indicate significant reductions in transport costs, withematical functi market accessibility proving crucial for enhancing firm productivity.
The model usins for quantifying time delays at eachg fuzzy logic for evaluating urban transport sustainability, addressing key dimensions like economic, social, environmental sustainability, and transition are portation system effectiveness, is introduced in article [15]. The model, validated againscribed, capturing real-world factors influencing corridot traditional methods, identifies transport sustainability indicators from the literature and calculates a transport sustainability index, pinpointing areas for improvement.
Survey [16] reffviciency. The methodology's flexiews the growing research of models and algorithms for optimizing shared mobility, customiza. It categorizes shared mobility and iterative refinement process are highlighte into ride-sharing and combined parcel–people transportation, exploring various optimization approaches. The paper differentiates between prearranged and real-time solutions, offering an overview of practical applications and suggesting future research directions in this evolving field.
A modified version elementary E-Net model i of Dijkstra’s algorithm for finding the shortest routes in a road-transport network, reformulating the transport problem into a classical matrix format, is presented r in [17]. This adaptation enables the apresenting a simplified plication of various methods for constructing optimal transport plans, particularly for freight transportation along international transport corridor segment. The transformation to a mos. The study uses analysis and modeling to improve route-finding methods on such networks, with the modified algorithm allowing for a table of connections to be represented. A software complex E-Net integrating mul, developed in Delphi, was created to test this approach, focusing on optimizing freight traffic within Ukrainian and Western European transport systems.
Article [18] explore sustainability factors is explaineds the use of the autoregressive distributed lag (ARDL) model to analyze international transport corridors, with a particular focus on adapting to changes in the Arctic transport environment due to polar ice melting.
The study pconstroposes a structured taxonomy categorizing sustainability into seven domains: Environmental, Economic, Social, Technical and Operational Sustainability, Governance and Policy, Measurement Monitoring and Evaluucts models for the Northern Sea Route, the Trans-Siberian Railway, the Southern Sea Route (Suez Canal corridor), and the Northwest Passage, examining various natural, organizational, technological, and economic factors influencing these corridors. Key variables, such as GDP, the number of ships, icebreaker counts, tariffs, ice coverage, and cargo volumes, are incorporated as exogenous factors impacting the volume of transit traffic, the model’s endogenous variable. The methodology includes flux balance analysis, autocorrelation, and Intemulticollinearity analysis of these variables.
The key challenges and pration and Systemic Approspective projects in developing the logistics system of the New Silk Road are examined in paper [19]. It exploacres th. This taxonomy serves as a blueprint for identifying, categorizing, and prioritizing sustainable practices within corridors, aiding poe structure and global transport and logistics services market and the existing and potential networks of transport and logistics centers within the international transport corridors. The paper presents a technological model for the operation of railway terminals and introduces principles for modeling interactions among international transport corridor stakeholders. These include formalized models for the functioning of carriers, logistics centers, and their combined operations.
Policymak-drivers,n researchers, and pra has been pivotal in shaping sustainable transport corridors. Studies such as those by Santos et al. [20] have scrutitioners in developing tinized the efficacy of policy instruments in promoting sustainable transport.
Paper p[21] evaluates thways that aree Belt and Road Initiative’s capacity to achieve sustained economically viable, , social, and environmentally sound, and socially responsiblel gains through transport corridors. It draws lessons from historical corridor development and analyzes effective sustainable policy interventions.
A The conclusion emphase study is presented applyizes the critical role of strong governmental policies and international agreements in maximizing the E-Net modeling approacbenefits of such infrastructure projects.
The to an European Bank for Reconstruction and Development study [22], supported by the EU, ainmed ternationalo enhance sustainable transport corridorlinks between Central Asia and Europe. Ththe EU, focusing on environmentally, socially, economically, and politically sustainable corridor route is mapped out across multiple countries. The paper includes a case study that applies the proposed methodology to an is. The study was part of the EU’s Global Gateway Strategy and sought to establish a sustainable network, promoting regional economic integration and development in line with the EU’s strategy for the region. It identified the most viable routes and actions for development, including the Central Trans-Caspian Network as a key sustainable option, which could provide significant economic benefits by improving connectivity among Central Asian states and with Europe.
The TRIMODE integrnationalated model, a comprehensive tool for assessing major transport corridor, specifinfrastructure projects and policies in Europe, is described in [23]. TRIMODE combines transport, ecally focusing on a national section in Kazakhstan.
Aonomy, and energy system simulations within a single software platform. It features a detailed transport model for both passenger and freight movements across Europe, including a full four-stage process (generation, distribution, mode sequence choice, and assignment), an energy elementary E-Nemodel with dynamic vehicle fleets across all transport model is used tos, and a macroeconomic model represent this corridor, with positions denoting transit points aning European countries’ complete economic systems. The model offers high spatial resolution, focusing on the European Union and neighboring countries, with multimodal networks and zoning systems based on the NUTS III level and below. It provides detailed transitions encapsulatingport demand disaggregation and incorporates comprehensive vehicle fleet models for various transportation between themmodes and energy sources.
The mpapethodology for transforming a simple E-Net into a more r particularly highlights the passenger modeling aspect within the EU-wide scale model, using PTV Visum software (https://www.ptvgroup.com/en/, accessed omplex mon 15 December 2023) and Python (https://www.python.org/, accessed on 15 Del integrating sustainabilicember 2023) scripts for tasks beyond standard software functionalities.
Study f[24] evaluates the impact ors is demonstrated. Additf logistics policies and infrastructure development on cross-border transport in Central Asia (CA), which is crucial for landlocked CA countries. Under the CA Regional transitions and positions are introduced reflecting KPIs across environmental, social, economic and technical dimensions.
MEconomic Cooperation (CAREC) Program, led by the Asian Development Bank, the study employs a network equilibrium assignment model for simulation analysis. It utilizes the Global Logistics Intermodal Network Simulation (GLINS) model, covering various freight transport networks across Eurasia, to simulate the effects of logistics policies on the TCTC, particularly focusing on ferry service and rail network improvements. The findings endorse Kazakhstan’s strategy thematical functions that can be usat prioritizes transit time reduction and transport tariffs, alongside fostering cooperation within the Trans-Caspian International Transport Route Association.
Thed to model time delays atconcept of “green corridors”, representing transport pathways optimized for minimal environmental impact, has gained traction.
Paper E-N[25] conducts a revietw of transitions are provided, capturing real-world dynamics like congestion, processing times, and sustainability impacts.
Theportation infrastructure’s role in sustainable development. It employs co-author, co-occurrence, and co-citation analyses, alongside an examination of key concepts, to reveal emerging research trends and challenges. Visual graphs highlight influential authors and collability to extend the E-Net approach to lower level corridor segments, enabling detailed micro-levelorative relationships between institutions in developed and developing countries. The review identifies critical issues like cost overruns and local development impacts. It suggests future research directions, including integrated effect studies and transportation network structure analysis, is explained. KPIoffering a visually expressive overview to aid researchers and time delay models can bpractitioners in understanding the multifaceted impacts of transportation infrastructure on sustainability.
The conceptai of “green infrastructure” is explored to each section.
Keyfor its historical roots and its modern innovations and impacts of the E-Net modeling methodology are highlighted, inclwithin environmental planning. This term, while not new in the context of landscape and open space planning, gains novelty when paired with “infrastructure”, traditionally linked with technical or social constructs. Paper [26] scrutinizes the term’s ding integration of sustainability factors, dynamic simulation capabilities, quantitefinitions and considers international cases to understand its relationship with conventional infrastructure types. It underscores the critical integration of green and blue spaces, akin to traditional infrastructure, especially given the escalating climate and biodiversity emergencies, and calls for robust management to realize its full benefits.
Paper [27] addresses the pressive KPI analysis, and flexibility.
Tng need for sustainable transportation in light of growing urbanization and air pollution challe alignment of E-Net components with nges in major cities. It critically reviews factors essential for implementing green transportation, identifying barriers, and proposing a three-step ASI strategic, tactical and operationaly (Avoid, Shift, Improve) to tackle these challenges. The study examines innovative technologies and management levels is discussedapproaches to green public transport systems and presents successful case studies demonstrating the ASI strategy’s effectiveness.
The findevelopment of tings offer valuable guidance for urban planning focused on sustainable, green transportation solutions.
The Pmetri net modelhodology for monitoring freight corridor performance, designed for sustainable traility assessments and initiated by the EU-funded SuperGreen project, is introduced in paper [28]. The methodology entailsport co the periodic monitoring of transport chains along the corridor involves several key steps: networkusing Key Performance Indicators (KPIs), involving the decomposition, sustainability taxonomy, Petri net construction, parameterization, simulation, analysis, improvement, validation, of the corridor into chains, selection of typical chains, assessment through KPIs, and aggregation to corridor-level indicators with appropriate weights. A key aspect is the selection of sample chains and weight calculation, which combines transport model usage for initial sample construction and weight calculation with stakeholder refinement, and adaptation. This methodology int. The methodology’s effectiveness was tested on the GreCOR project using the Danish National Traffic Model, showing promising results for freight corridor performance assessment and suggesting possible improvements.
Recogratesnizing that sustainability factors intranscends environmental concerns, recent scholarship has adopted a more holistic perspective. Litman [29] extended the dialo the tgue to encompass the social and economic dimensions of sustainable transport corridor modeling, allows, advocating for the quantificationequity and access as integral components of sustainability KPIassessments.
Study [30] presents a global overviewithin a dynamic simul of green logistics practices at various management levels and the inherent challenges of their implementation model. It enables the identificin emerging markets. It begins by clarifying the terminology and describing its scope and characteristics, and it continues with an analysis of the impact of green logistics on the creation of ineconomic and social value.
Empirical study [31] investigates the impact officiencies and bottlenecks, testing various scenarios for improvements, and offers a flexible framework that can be customized for different international transport corridors on regional economic development. It establishes a statistical relationship between the development indicators of these corridors and the economic growth of the regions they traverse. Using multidimensional regression analysis, the study identifies key economic factors influencing corridor development and how various corridor indicators affect regional economies. The findings reveal a significant interdependence between regional socio-economic development and transport corridor infrastructure, highlighting the need for careful consideration in investment and transport policy planning to foster economic growth and bilateral development.
The intransport egration of multiple modes of transport within corridors.
Ts is another salient theme in paper discuscontemporary research. The works in [32] have emphasizes the role of modeling in analyzd the importance of intermodality in achieving sustainability goals, presenting multimodal solutions as key to reducing transport corsector emissions.
The multi-cridteria evaluation ors, highlighting its contribuf rail/road intermodal freight corridors as competitive transport alternatives is discussed in [33]. It ions in comprehensive understanding, predictive insights, decntroduces a methodology comprising analytical models to estimate various performance indicators (physical/spatial, infrastructural, technical, operational, economic, social, and environmental) and a Multi-Criteria Decision Making (MCDM) method to rank and identify preferred options among competing freight transport corridors. Applied to two Trans-European intermodal rail/road freight corridors, the methodology proves useful not only for researchers but also for decision support, stakeholder engagement, adaptive management, integration makers like freight shippers/receivers, transport and terminal operators, infrastructure providers, and policymakers. It assists in allocating limited investments effectively across local, regional, national, and international infrastructures.
Mofdeling and multi-disciplinary data, and future preparednesssimulation play a vital role in transport planning and infrastructure development across Europe [34]. TheseA aspects underline the significance of modeling in transformingvariety of quantitative modeling approaches are utilized for forecasting travel demand, assessing economic impacts, and evaluating transport projects for major European transport corridors.
Four-step models remain to be sustainable and he most widely adopted approach for travel demand modeling [35,36]. There is a widaptable te spectrum of reviews on traffic simulation tools in the literature (e.g., [37,38]). Some future challengesexamples of the mostly used micro- and macrosimulation tools introduced in these reviews are CUBE Dynasim [39], Paramics [40], EMME [41], SimTraffic [42], AIMSUN [43], VISSIM [44], and MatSIM [45].
These papemodels provide granular analyzes how the E-Net model can be useful fsis of user flows on transport networks, enabling infrastructure planning and investment decisions. More advanced dynamic traffic assignment versions account for congestion and transit schedules when assigning routes.
For lwider econogistics managers mic assessments, computable general equilibrium (CGE) models like GTAP [46] and GEM-E3 [47] are oftoen used. They make decisions and identify improvements. It also discusses how tcapture economy-wide supply chains, trade links, market interactions, and the impact of transport on competitiveness across sectors. However, they lack the sectoral detail offered by partial equilibrium models focused specifically on transport.
There are model contributes new ideas for modeling tran a lot of actual modeling applications used in the European Union for simulating international transport corridors ; here are some of the key tools and software applications:
Unlike standard models which require detailed inputsing consistent with EU Corridors methodology and TSI, Petri nets. Some future research directions are suggested to make can begin with a high-level representation and incrementally incorporate details as they become available. This iterative and flexible modeling process is essential for the initial planning and design stages of new corridor development.
In the mpursuit odels even better, like adding real-time data and optimizationf environmentally sustainable solutions for transport logistics, the concept of green transport corridors has emerged as a critical focal point. These corridors aim to enhance the efficiency and sustainability of transport operations by leveraging multimodal systems and innovative logistics solutions.
T However, the pscholaper explains the benefits but also limitarly literature reveals a distinct gap in the development of robust, holistic models for the evaluation of such corridors’ effectiveness with respect to sustainability criteria.
While there ions of using E-Nets for modeling. It highlights the innovative parts of the methodology proposed. It ems a considerable body of literature that delves into individual aspects of green transport corridors, such as emission reduction techniques, energy efficiency, and policy frameworks, there is a noticeable absence of comprehensive models capable of capturing the complex, multifaceted nature of sustainability. Existing studies often address singular aspects of green corridors, such as the environmental impact, without integrating the economic and social dimensions that are equally pivotal to comprehensive sustainability assessments.
This phaper asizes how theddresses the existing gap by introducing a model can be applibased on Petri nets—a mathematical modeling tool used to real-world tdescribe and analyze the flow of resources in discrete event systems.
The use of Petrai nsport planning and infrastructure decisionsets for modeling international transport corridors with a sustainability focus offers a comprehensive, intuitive, and adaptable framework that provides a clear advantage over traditional transport models.
The lapproach inks between the E-Net tool, suss particularly well-suited to address the multifaceted challenges of modern transport systems, ensuring that sustainability concepts, and the modeling msiderations are central to the analysis and decision-making processes:
Petri nethodologys are connected. How they work together to understand and improve sustainable trparticularly well-suited for this purpose due to their graphical nature and ability to model concurrent processes. By extending Petri nets with sustainability indicators, it becomes possible to simulate and evaluate the performance of green transport corridors is analyzed.
Thunder different paper presents an innovativeoperational scenarios and policy conditions. This approach to sustainable allows for dynamic assessment, where the impact of changes in the network can be immediately observed and analyzed.
Green transport corridors modeling using Petri nets, focusing on a comprehensive taxonomy of can be defined as multimodal transport networks designed with a focus on sustainability and the development of a Sustainable Infrastructure Rating. This approach is vital for. They aim to minimize the environmental impact of transport activities by incorporating advanced technologies, renewable energy, and eco-friendly practices. These corridors are not just physical pathways but are also embedded with intelligent systems for efficient and sustainable logistics and operations.
The multhe transition towardsifaceted nature of sustainability within the context of international transport corridors that are not only economically robust but also environmentally consciousnecessitates a nuanced and comprehensive understanding of the various aspects that contribute to their long-term viability and responsibility. As these corridors become increasingly crucial in facilitating global trade, there is a growing recognition of the need to balance economic efficiency with environmental stewardship and socially responsible well-being. This balance is essential not only to preserve our planet but also to ensure equitable benefits for all stakeholders involved.
The review of the exisults and discussion emphasize the importance of holistic and integrativeting literature on green transport corridors underscores a research gap in comprehensive and quantitative modeling approaches for sustainability analysis. While the literature covers conceptual principles and qualitative discussions, there is a lack of mathematical modeling in achievings that integrate the multidimensional aspects of sustainable tranility within a single framework.
This port corridors, aligning with globalrovides the motivation for the novel E-Net model developed which aims to address this gap through a quantitative, visually executable modeling platform. The model encapsulates the breadth of sustainability goalfactors discussed in the literature within a cohesive Petri net-based structure suited for dynamic simulation and analysis.