Transportation Mode Selection Research Articles

Transportation Mode Selection Preferences for Persons with Disabilities in the Disability-Friendly City of Yogyakarta

A disability-friendly city is a city that meets all the needs of people with disabilities according to service standards in education, health, employment, rehabilitation, social needs, and transportation. The Yogyakarta City Government has declared itself as a ‘Disability Friendly City’ since 2015. To fulfill the movement needs of people with disabilities, the Yogyakarta City government provides mass public transport, Trans Jogja. In addition to Trans Jogja, there are other modes, namely Difa Bike, two-wheeled private, public transportation, four-wheeled private, public transportation, and private vehicles. This study aims to determine the transportation mode selection preferences for persons with disabilities in Yogyakarta City as a Disability Friendly City. This study uses multiple linear regression analysis to determine the factors influencing persons with disabilities in choosing transportation modes. This study's findings state that most people with disabilities prefer private vehicle modes based on influential factors: travel destination, travel distance, travel time, transportation costs, and vehicle ownership.

Assessing Inland Waterway Transport (IWT) container logistics on the Rhine Alpine corridor: A discrete event simulation approach

Inland Waterway Transport (IWT) is pivotal for hinterland freight logistics, connecting numerous inland terminals with major deep-sea ports. Despite its significant advantages in cargo capacity and environmental sustainability, it remains underutilized due to operational inefficiencies, diminishing its competitive edge compared to road and rail transport. Addressing these challenges requires innovative solutions, yet existing studies often neglect to evaluate these innovations and their interactions within the broader IWT logistics framework and other transport modes.This study bridges these gaps by introducing a comprehensive Discrete Event Simulation (DES) model to capture the dynamic interactions within the IWT logistics system, its interplay with other transport modes, and the potential impact of innovative measures on IWT performance. The model simulates the current container logistics system along the Rhine-Alpine (RALP) corridor, incorporating key elements such as cost-time calculations, transport mode selection, network flow allocation, and the assessment of IWT innovations.The methodological framework and architecture of the DES model are presented, emphasizing verification and validation processes to ensure accuracy and reliability. The model outputs a network-wide analysis of the current IWT logistics system, examining mode split, cost, time, emissions, distance, and the interrelationships among these factors. This analysis serves as a benchmark for evaluating the effects of various innovative strategies on IWT performance.By employing the DES methodology, this research advances the understanding of container IWT logistics, providing critical insights for stakeholders and policymakers. It evaluates the current performance of container IWT in the RALP corridor and identifies opportunities to improve the efficiency and competitiveness of container IWT.

Multi-objective Optimization-Based Algorithm for Selecting the Optimal Path of Rural Multi-temperature Zone Cold Chain Dynamic Logistics Intermodal Transportation

The road network in rural areas is complex and the infrastructure is relatively backward. The multi-temperature zone cold chain logistics involves agricultural products with different temperature requirements, which requires considering the transportation cost, carbon emission cost, refrigeration cost, and time cost of different temperature zones during path planning, thereby increasing the difficulty of path planning. Therefore, a multi-objective optimization-based algorithm for selecting the optimal path of rural multi-temperature zone cold chain dynamic logistics intermodal transportation is proposed. Based on the analysis of the multi-temperature cold chain collection and distribution model based on multimodal transportation, a multi-objective optimization model is constructed. This model aims to minimize transportation costs, carbon emission costs, refrigeration costs, time costs, and maximize logistics quality, while satisfying constraints such as transfer schedule times, the number of transport mode conversions, transport mode selection, and time continuity. To solve this model, an improved NSGA-II algorithm is adopted, which combines an improved mutation operator, congestion distance calculation, and the C-W saving algorithm to achieve the optimal transport path solution. Additionally, ArcGIS software is used to implement the shortest path planning based on real road networks. The experimental results show that by selecting the road-rail combined transport mode and adopting the D1–D6–D10 transport path, it is possible to transport fresh agricultural products from location A to the distribution center at location B, with the lowest Pareto fitness value. Furthermore, the algorithm's effectiveness is further verified by completing the end-of-life fresh agricultural product distribution task with four multi-temperature refrigerated vehicles. The study also finds that extending or shortening the latest service time window for customers, although it leads to a decrease or increase in the optimal value of the algorithm's objective function, has little impact on the average distribution time and transport vehicles. These findings provide new theoretical and practical guidance for the path selection of multimodal transportation in multi-temperature cold chain logistics, with significant theoretical and application value.

Global supply chain network design for shelf-life products under uncertainty: a case study of pistachios

PurposeSupply chain management has become critical in today’s globalized environment, with growingly intense competition on the international level. The particular characteristics of modern trade have led companies to globalize and devise increasingly sophisticated supply chains to meet customer demand worldwide. Motivated by the need to address these challenges, we have developed a new model for a global supply chain that incorporates uncertainties in exchange rates, demand fluctuations, and the quantity of produce.Design/methodology/approachThe objective of the proposed model is to maximize supply chain profitability. Our model optimizes several critical decisions in the proposed global supply chain, including the location of domestic and foreign distribution centers, allocating the centers to customers, transportation mode selection, storage temperature, optimal farm purchase quantities, product flows across the network, and the shelf-life of products. Scenario-based stochastic programming approach is employed to account for the inherent uncertainties within the model. A pistachio supply chain is examined as a case study in this article, and the efficiency of the proposed model is demonstrated through computational results.FindingsThe model was solved using the CPLEX solver in GAMS and the results, the Sirjan DDC and Turkey FDC have been selected. In general, 40% of demand for customers from FDC (turkey) and 60% of demand from DDC (sirjan) is provided. Changes in the demand of foreign customers make the net profit more effective than changes in the demand for domestic customers. The decrease in exchange rate decreases the network profit with a higher slope and the increase in exchange rate will increase network profit with a relatively stable slope.Originality/valueWhile research on GSCs for perishable products has been ongoing for several years, the importance of the subject necessitates continued investigation in this area. This paper aimed to address this gap by presenting an optimization model for designing GSCs for perishable products under uncertainty and with various transportation modes. The proposed model was designed with the aim of improving supply chain performance and real-world applicability.

Analysis of the Selection of River Transportation Modes that are Integrated with Land Transportation in the City of Banjarmasin

The city of Banjarmasin, as the center of economic growth in South Kalimantan, faces significant challenges in terms of mobility. The development of river public transportation is one of the alternatives to overcome urban transportation problems. This study has significance in providing a holistic view of the factors that need to be considered in the selection of river transportation modes that are integrated with land transportation. The study was conducted in the areas of North Alalak Village and Sungai Lulut Village. The data processing method in this study involves testing the completeness of primary and secondary data to describe field conditions, then analyzing the preferences for choosing transportation modes using the AHP method which includes steps such as defining problems, creating hierarchical structures, conducting pairs comparisons, calculating eigenvalues and testing consistency, while the data analysis stage includes the calculation of consistency ratios, consistency vector, average of entries (Zmax) and Consistency Index (CI) to determine the final preference of each alternative. The analysis of priority weights between criteria is calculated to find out the order of the most influential criteria in selecting transportation modes. The results of the study can provide guidance for decision-making at the level of governments, transport companies and communities in developing and adopting more efficient transport systems. This research is expected to be useful for the author to expand insights, for the government and operators as input in the development of integrated transportation, and for the general public as a reference for more efficient modes of transportation.

Multi-criteria decision-making for the selection of best airport ground access mode with a new fuzzy rough-entropy based method

In order to cope with the inherent complexities and uncertainties of settings such as transportation problems, the adoption of proper decision procedures becomes a pivotal issue. Particularly, multi-criteria group decision-making (MCGDM) uses multiple evaluations of the options based on several criteria to select the optimal choice and/or rank the alternatives. In this paper we are interested in the Entropy-REGIME method for MCGDM and its ability to handle uncertainty in the presence of fuzzy rough numbers (that allow the practitioner to represent and process imprecise data). To this end we propose a hybrid framework of the fuzzy rough-entropy based REGIME method that involves two main components: fuzzy rough-entropy for the evaluation of the objective weights of the decision criteria, and fuzzy rough-REGIME to rank the alternatives based on the weighted criteria. Its motivation is a case study that concerns the selection of the best transport mode to access Istanbul newly constructed airport. We consider four alternatives for ground access options, namely, underground metro, bus rapid transit, light rail transit, and premium bus services. Our findings show that an underground metro system is the optimal mode, followed by light rail transit, bus rapid transit, and premium bus services. Additionally, to demonstrate the superiority and effectiveness of the proposed technique, comparisons are made with existing methods.

The Impact of Traffic Lights on Modal Split and Route Choice: A use-case in Vienna

Abstract. The transportation dynamics within a European city, Vienna, are examined using a multi-graph representation of the city’s network. The focus is on time-optimized routing algorithms and the effects of altering the average waiting penalty at traffic lights. The impact of these modifications, whether an increase to 60, 90, or even 150 seconds or a decrease to 10 seconds, is observed in the selection of transportation modes and routes for identical origin and destination pairs. The investigation also extends to whether routes shift towards secondary street networks to avoid traffic lights as the waiting penalty increases. Experimental variations in average waiting time for cars aim to uncover detailed effects on transportation mode choices, route length and time changes, and variations in human energy expenditure. These findings could provide valuable insights into the transportation network and its possibilities and help in urban planning and policy development. The results indicate a shift in transportation mode as the waiting penalty for cars at traffic lights increases, and in some instances, routes are redirected to roads of lower importance such as residential or service roads.

Determining Factors for Online Transportation Mode Selection to Tourist Destinations in Bali, Indonesia

Objective: The study aims to identify the significant factors influencing tourists' decisions to select online transportation modes to tourist destinations in Bali, Indonesia. It focuses on understanding the attributes that affect this choice and how they can improve the transportation services in the region. Theoretical Framework: The theoretical framework integrates various theories related to consumer behavior and decision-making processes. It considers factors like service quality, price, convenience, and safety, drawing from established models like the Theory of Planned Behavior to analyze tourists' transportation mode selection. Method: The research employed a quantitative approach, utilizing a questionnaire distributed to 384 tourists in Bali who have used online transportation. Data were analyzed using multiple regression analysis to examine the relationship between independent variables (service quality, price, convenience, safety) and the dependent variable (the selection of online transportation modes). Results and Conclusion: The study found that all the proposed factors (service quality, price, convenience, safety) significantly influence tourists' decisions to select online transportation modes in Bali. It concludes that enhancing these factors can lead to a higher preference for online transportation among tourists, benefiting both service providers and users. Implications of the Research: The findings have practical implications for online transportation providers, suggesting that improvements in service quality, competitive pricing, convenience, and safety can increase their market share. It also provides insights for policymakers on how to regulate and support the online transportation sector to improve tourist experiences in Bali. Originality/Value: This research contributes to the existing literature by specifically focusing on the online transportation mode selection among tourists in Bali, a context not extensively covered in previous studies. It offers empirical evidence on the factors affecting tourists' transportation choices, adding value to the field of transportation and tourism research.

EFEKTIFITAS MODA TRANSPORTASI BUS RAPID TRANSIT (BRT) DALAM MENUNJANG AKTIFITAS BEKERJA DI KOTA SEMARANG

Transportation is the lifeblood of everyday life and one of the basic needs of society. Almost everyone needs transportation to meet their needs, such as the need for work, school, recreation and social interaction. The choice of transportation modes in an urban area is now increasingly varied, starting from private or public transportation. Various activities such as government administrative centers, communication centers, industrial centers and trade centers located in the city of Semarang are factors in all people's choices in using modes of transportation. This analysis uses AHP analysis by presenting it in the form of numbers, graphs, tables and narratives. AHP is a method used to rank decision alternatives and to choose the best of several criteria. AHP develops a numerical value to rank each decision alternative, which is based on how far each alternative meets the criteria of the respondent. Based on the data, it can be explained that the most important criteria for respondents to the choice of transportation mode are the time criteria of 96.78%, then the cost criteria of 2.90%, the next for the age criteria of 0.21% and the last for the criteria worker characteristics of 0.01%. Furthermore, the order of priority for selecting the first working mode of transportation is motorbikes at 91.41%, the second is BRT at 8.01% and the last is Angkot at 0.48%. This study concluded that based on the results and discussion of this study are as follows: Based on calculations AHP data processing can be explained that the most important criteria for respondents to the selection of work transportation modes are time criteria of 96.78%, then cost criteria of 2.90%, next for age criteria of 0.21% and finally for characteristic criteria workers by 0.01%. After obtaining the results of alternative weights, the priority for choosing the first working mode of transportation is motorbikes at 91.41%, the second is BRT at 8.01% and the last is Angkot at 0.48%.

APPLICATION OF FRACTAL GEOMETRY TO STUDY STRUCTURAL CHANGES OF GAS FLOWS

Due to insufficiently efficient gas drying at processing units for gathering and preparing well products, a sufficient amount of liquid may remain in the transported flows. During the transportation products from gas condensate fields from platforms to onshore gathering points, complications arise due to precipitation of the liquid phase or, conversely, gas separation in the moving flow. In this regard, the selection of an adequate transportation mode and pipe-line diameter is of great scientific interest. The presence of a liquid phase, on the one hand, can change the structural forms of flow through the pipeline, and on the other hand, liquid can accumulate in low sections of the route and thereby reduce the capacity of the pipeline. The liquid phase also accelerates corrosion processes on the inner surface of the pipeline. In connection with the above, early diagnosis of the presence of a liquid phase in gas flows transported through main pipelines remains relevant today and requires the development of appropriate criteria. In this work, based on real measurements in sections of the main gas pipeline, was studied the dynamics of the gas flow’s main thermodynamic parameters (flow temperature and pressure). Based on the conducted research, was identified a stable relationship between the presence of liquid in the gas flow and the fractal dimension of time series for temperature, flow and pressure. The result is a relatively simple tool for diagnosing the presence of liquid in transported flows. Keywords: gas pipeline, gas-liquid flows, structural forms of flow, fractal dimension.

Reliable Location Models with Transportation Mode Selection (RLM-TMS)

Reliable Location Models with Transportation Mode Selection (RLM-TMS)

Research on transportation management model of COVID-19 medical waste: a case study in Beijing, China.

During the COVID-19 pandemic, disposable masks, protective clothing, gloves, and nasopharyngeal swabs collected by nucleic acid testing formed a large amount of medical waste. Medical waste has strict temporary storage time requirements in hospitals, which need to be transported to medical waste disposal plants within the specified time. However, as most of disposal plants are far away from downtown, they also need to be responsible for the transportation and disposal of medical waste in many hospitals, and put forward higher requirement for transportation routes. Rapid and safe disposal of all types of medical waste generated by COVID-19 is crucial to the prevention and control of the epidemic. This paper designs the transportation route optimization model using Anylogic simulation software based on the regional distribution of 118 tertiary hospitals and 2 large medical waste disposal plants in Beijing, China. At the same time, transportation routes of 118 tertiary hospitals in the morning peak, evening peak, all-day, and ordinary periods were simulated based on the Beijing traffic index in 2017. On this basis, through the analysis of the simulation data, the selection of medical waste transport routes for 118 tertiary hospitals in the morning peak, evening peak, all day, and ordinary periods is further clarified, so as to ensure that medical waste can be transported to the medical waste disposal plant in the shortest time. The shortest path and fastest speed transport mode, medical waste transport data set, and the selection of transport mode of 118 tertiary hospitals formed by this research provide certain reference experience for the rapid and safe transport of medical waste during the epidemic period, and also provides corresponding data support for medical waste transportation management in the post-epidemic era and medical waste transportation decision-making when facing major public health problems.

Impact of home-school commuting mode choice on carbon footprint and sustainable transport policy scenarios

Car use for commuting to school is responsible of a significant amount of CO2 emissions, negatively impacting on climate change and calling for action. We collected 8,343 responses through an online survey before the Covid-19 pandemic (November/December 2019) from a sample of schools located in the province of Varese (Northwest of Italy). First, the study estimates the home-school commuting CO2 emissions from students and school staff of the selected schools, both in the starting scenario and in policy scenarios, inducing different potential shifts from car towards more sustainable transport means. Second, it determines the most relevant factors of transport mode selection for school commuting. The findings show that students at high school, even if their trips are generally longer, have lower CO2 emissions than teachers/staff and students of primary and middle schools, because of a higher intensive use of public transport. The optimistic scenario of a 75% shift from car use to walking, for home-school distances up to 2 km, and to public transport, for distances between 2 and 10 km, would save a big amount of CO2 emissions, included in the range 60–67%. Travel distance and time are the two most relevant factors, when students and teachers/staff select the transport means for school commuting. The identification of appropriate sustainable transport policies should consider the geographical, urban, and infrastructural characteristics of the place in which each school is located and of the travel routes.

Study of Transportasi Mode Selection to Khairun University Campus with Binary Logit Method

Land transportation mode is the main means of transportation to reach campus II Unkhair Gambesi which can be accessed using motorbikes and public transportation. Ternate City is one of the cities in North Maluku Province which has many important activities in the fields of education, politics, and economy. In addition, the center of government of North Maluku province is also still in the Ternate City area, so it also has an impact on the development of the lives of the people of Ternate City. This study aims to determine the effect of cost and travel time on the selection of transportation modes between private vehicles (motorcycles) and public transportation using the state preference method. This study uses the Stated preference method used for an approach by using respondents' opinions on various alternative options on the attributes of travel costs and travel time to transportation modes Private Vehicles (Motorcycles) and Public Transportation Case Study: Central Ternate – Campus II Unkhair Gambesi. The results of this study used linear regression analysis and the binary logit method. And it can be concluded that the chance of choosing a Private Vehicle (Motorcycle) is 74% while the chance of choosing public transportation is 26%.

Incorporating product decay during transportation and storage into a sustainable inventory model

With the increased attention to global warming, governments set new policies for companies to control greenhouse gas (GHG) emissions. Therefore, supply chain decision-making should consider both costs and emissions of main logistics activities such as production, storage, and transportation. It is especially important for perishable goods, as the decay of products brings additional economic and environmental challenges for production, storage, and distribution operations. Most research on inventory models for perishable products focuses on minimizing the total cost and ignores emissions. There are a few papers that consider both costs and emissions. However, since they ignore product decay during transportation, they do not fully support real-life decision-making on perishable products. This paper presents a sustainable inventory model for a perishable product with deterministic demand. Our model is the first to consider product decay during transportation explicitly. Therefore, it can assess different transportation alternatives with different costs, emissions, and lead times to select the most sustainable and cost-efficient option. It is also the first to integrate the emissions of production, inventory holding, transportation, and disposal in making transportation mode selection and inventory control decisions. The model is solved analytically, and numerical experiments show that taking product decay during transportation into account leads to different optimal solutions than those proposed by existing models, which neglect product decay during transportation. Finally, we perform sensitivity analyses to show the impact of key parameters on the improvement potential of incorporating product decay during transportation.

International Transportation Mode Selection through Total Logistics Cost-Based Intelligent Approach

Background: International transportation has grown substantially, causing total logistics costs (TLCs) to rise. Companies are increasingly striving for their reduction. The most crucial factor affecting TLCs is the transportation mode, and its appropriate selection has become vital for firms. Maritime transport is the most preferred mode for international shipments, while air transport is also increasingly preferred due to the rise in underweight and high-frequency shipments, the expectation of reduced delivery times, and inventory costs. However, a thorough comparative analysis is necessary for the selection. Methods: This paper proposes an intelligent approach based on TLCs. Non-linear optimization is adopted for regular replenishment, while maching-learning classifiers are employed to establish a decision boundary for the chargeable weight of shipments. Conclusions: The study assists in decision making and also establishes a country-wide threshold, highlighting the importance of a country-based logistics strategy. The paper successfully establishes the trends and relations between logistics parameters, which assists the logistics decision making. Research identifies the gaps in the existing literature and bridges them by addressing the required concerns.

ANALYSIS OF THE CHOICE OF COMMUTER LINE ELECTRIC RAIL TRAIN (KRL) MODES AND TRANSJAKARTA BUSES FOR THE BEKASI CITY - EAST JAKARTA ROUTE

Transportation is one of the problems that becomes a measure of the success of a city. Bekasi City, as the gateway and buffer for the capital city of Jakarta, has high mobility due to the density of the city of Jakarta. This study aims to determine the characteristics and factors that influence mode selection, mode selection models that can explain probabilities, as well as people's preferences in choosing the Commuter Line Electric Train (KRL) and Transjakarta Bus transportation modes used by the people of Bekasi City to East Jakarta. Data was collected using a questionnaire survey using the Stated Preference method, distributed offline and online. Furthermore, the data from the survey were processed using regression analysis to evaluate the relationship between the response variable, namely the choice of travelers on a numerical scale (Y), with changes in the analyzed attributes, namely the difference in travel costs (X1), travel time (X2), and the departure time of each mode (X3). The results of the linear regression analysis using the SPSS version 28 program obtained the mode selection model, namely (UMRT – UTJ) = 0.662 + 0.044.X1 - 0.014.X2 + 0.025.X3. The conclusion obtained from the results of this study is that the KRL Commuter Line is the preferred mode of transportation compared to the Transjakarta Bus with the Bekasi - East Jakarta route, and the travel cost attribute is the most influential in the transportation mode selection model.

A novel interval-valued intuitionistic fuzzy CRITIC-TOPSIS methodology: An application for transportation mode selection problem for a glass production company

The challenge of selecting the best transportation mode is one of the most significant issues that organizations deal with during the product delivery phase. Many criteria that influence the selection of an appropriate mode of transportation are indicative of how challenging this problem is. Therefore, in this study, a hybrid decision making methodology based on interval-valued intuitionistic fuzzy sets (IVIFS) is proposed to obtain the most suitable transportation mode by considering the determined criteria. The criteria are decided according to both experts’ opinions and literature review results. Afterwards, experts’ opinions in the company are consulted for the evaluation of the determined transportation mode alternatives. Then, relying on IVIF-CRITIC technique, criteria weights are determined. Subsequently, IVIF-TOPSIS method is applied to rank the alternatives. Because the combination of these methodologies has never been applied to solve the problem at hand, the developed methodology and the application area represent a novelty. According to the results of our study, the railway has been determined as the most proper transportation mode for the glass manufacturing company. To show the robustness of the proposed methodology, we conduct a sensitivity analysis by both changing the criteria weights and applied methodology. The results show that in all scenarios the ranking of alternatives is similar.

Clinical outcomes after endovascular thrombectomy in different triage methods

ObjectiveThe purpose of this study was to evaluate the effectiveness and safety of drip and ship (DS) for acute ischemic stroke (AIS) by comparing three treatment strategies: 1) patients seen at a primary stroke center, started on emergency intravenous thrombolysis and then transported to a comprehensive stroke center (drip and ship, DS); 2) patients immediately transferred to comprehensive stroke center without starting intravenous thrombolysis, for mechanical thrombectomy (non-drip and ship, non-DS); and 3) patients admitted directly to the comprehensive stroke center for assessment and subsequent bridging thrombolysis (mothership, MS). MethodsWe retrospectively reviewed the data of patients that underwent mechanical thrombectomy for AIS from November 2020 to May 2022 at our institution. Patients were divided into three groups: DS, non-DS, and MS. Time course, multimodal CT features and clinical results were compared among the three groups. ResultsThe study included 62 patients, with 19, 18, and 25 patients in DS, non-DS, and MS groups, respectively. Baseline characteristics did not differ among the three groups. The DS group had a significantly longer median onset to groin time than the MS group (395 min vs 244 min; P < 0.001), a significantly shorter onset to primary stroke center time than the non-DS group (90 min vs 463 min; P < 0.001), and a longer primary stroke center to groin puncture time than the non-DS group (277 min vs 162 min; P = 0.002). The onset to needle time was longer in the MS group than the DS group (151.2 min vs 111.8 min; P = 0.041). The intravenous thrombolysis to puncture time was shorter in the MS group compared with DS (56 min vs 278 min; P < 0.001). No significant differences were present among groups in post-operative variables measured. ConclusionsDS is a safe and effective method, with no increased risk of postoperative complications or death compared to non-DS and MS methods. The study provides a reference for the selection of transport modes for AIS patients.

Optimum Route and Transport Mode Selection of Multimodal Transport with Time Window under Uncertain Conditions

Aiming at the problem of multimodal transport path planning under uncertain environments, this paper establishes a multi-objective fuzzy nonlinear programming model considering mixed-time window constraints by taking cost, time, and carbon emission as optimization objectives. To solve the model, the model is de-fuzzified by the fuzzy expectation value method and fuzzy chance-constrained planning method. Combining the game theory method with the weighted sum method, a cooperative game theory-based multi-objective optimization method is proposed. Finally, the effectiveness of the algorithm is verified in a real intermodal network. The experimental results show that the proposed method can effectively improve the performance of the weighted sum method and obtain the optimal multimodal transport path that satisfies the time window requirement, and the path optimization results are better than MOPSO and NSGA-II, effectively reducing transportation costs and carbon emissions. Meanwhile, the influence of uncertainty factors on the multimodal transport route planning results is analyzed. The results show that the uncertain factors will significantly increase the transportation cost and carbon emissions and affect the choice of route and transportation mode. Considering uncertainty factors can increase the reliability of route planning results and provide a more robust and effective solution for multimodal transportation.