Transportation Hub Research Articles

Searching for the Inflection Point of Travel Well-Being from the Views of Travel Characteristics Based on the Ordered Logistic Regression Model

Travel well-being is the subjective feeling of satisfaction that people have while traveling. Previous research focused on its determinants and relationships with subjective well-being ignored. But no quantitative study discusses the effect of characteristics like weekly income and travel time on travel well-being. To demonstrate the quantitative inflection of travel well-being from characteristics, the relevant factors influencing travel well-being as the dependent variable are identified using Pearson correlation analysis and linear regression in this paper. To overcome the limitations of linear regression techniques, ordered logistic regression is applied to establish an analytical model of travel well-being for predicting the response probabilities for different degrees based on combinations of explanatory variables. Both the linear regression and ordered logistic regression models are calibrated by American residents’ travel datasets. The results illustrate that the ordered logistic model fits sample data better than linear regression models. Age, travel time, health status, and resting degree are significantly related to travel well-being. Older people and those who are healthier and better rested are more likely to experience higher levels of travel well-being. Additionally, increased travel time is associated with a significant decrease in travel well-being. Therefore, to enhance people’s travel feelings, policymakers and urban planners can enhance the quality of public transportation services and provide diverse transportation options, while also logically constructing transportation hubs to provide more convenient travel plans.

Book-ahead ride-hailing trip and its determinants: Findings from large-scale trip records in China

The cruising of ride-hailing vehicles generates negative externalities such as traffic congestion and vehicular emissions. These externalities can be mitigated by reducing cruising driving via operating book-ahead ride-hailing services, where the platform dispatches and routes drivers based on precise information on travelers’ departure time and origin–destination (OD). However, the effects of factors influencing book-ahead ride-hailing trips have rarely been empirically examined with real data. Using six-month trip data from China, this study employs a gradient boosting decision tree (GBDT) method with hyperparameters optimized by the Bayesian optimization algorithm to examine the factors associated with book-ahead ride-hailing trips across OD pairs (hexagon cells-to-hexagon cells) at various spatial scales. The relative importance rankings generated from this study indicate that trip features, weather conditions, and accessibility to transportation hubs are significant determinants correlated with the usages of book-ahead ride-hailing. The partial dependence plots demonstrate the nonlinear threshold effects of these determinants on the hourly number of book-ahead ride-hailing per OD pair. Moreover, this study compares the differences in associations between peak and non-peak hours as well as weekdays and weekends. The disparity in the nonlinear threshold effects between weekdays and weekends is only observable during the evening peak period and not at other times. These findings provide valuable insights into developing practical strategies for promoting book-ahead ride-hailing services.

Experience in the design and construction of service facilities located at ‏transport hubs

The article analyzes the latest research, experience in the design and construction of transport interchanges. The main trends and directions of the architectural and planning solution of the service facilities located in them have been identified. The formation of service facilities is influenced by the dynamics of the development of nearby districts and residential areas, the urban development situation, and social and economic conditions. Direct interdependence is observed - provided the population increases in the adjacent residential areas and the production potential of local industrial enterprises increases several times, while the traffic load of the relevant transport arteries, transfer stations and transport junctions and nodes increases. Transport interchanges and stations of the city of Kyiv, Ukraine were analyzed. One of the largest transport intersections was found to be located in the East: in China (Beijing, Shanghai), South Korea (Seoul), Japan (Tokyo, Kyoto). The classification is given depending on the functional load, location in the city system, annual volume of passengers, type of service by size (small, medium, large); type of volumetric-spatial solution. The main principles of the formation of volumetric and spatial solutions are formulated. In the development of the planning structure, the following main functional blocks were identified: transport and transport arteries; storage areas and platforms; communications and transitions (vertical and horizontal, transitions, stairs, elevators, escalators); service of regular and rest transit passengers; trade and entertainment; "intercepting" parking lots and city public transport stops. There are three main types of planning configuration of junctions and landfills, determined in particular by the shape of the plots under construction and the urban planning situation.

Conceptuality and rationality in underground spaces transport interchange hub organization

The article substantiates the necessity of combining modern methods of underground urban planning in areas of special urban planning value, which include transport interchanges and their adjacent territories. Techniques for the rational organization of service facilities and prospects for the development of accompanying functional areas are formulates. A modern multi-functional complex as part of a transport interchange hubs requires the use of new means of forming the architectural environment: external and internal organization of underground space. The purpose of the publication is to argue for the optimization of the development of public service facilities of transport interchanges due to the organization of underground spaces and to determine the main advantages of rationality. Analysis of the Utrecht and Berlin stations as examples of European experience in the operation and development of transport hubs demonstrates the main advantages of rationality in the organization of underground spaces. The concept, which reorganizes transfer points into small businesses and shopping centers, integrates them into underground spaces: places for holding exhibitions and business events, conference halls. Effective using of land resources helps to free up the territory for pedestrian areas. Using of modern technologies in the field of energy efficiency and ecology correspond to the direction of sustainable development; separation of traffic and pedestrian flows, organization of the shortest paths to various types of transport and evacuation are beneficial when used as a shelter; economic efficiency increases the urban value of the territory. The topic of conceptual design, introduced at the Department of Architectural Environment Design in Kyiv National University of Construction and Architecture when developing a highly urbanized transport hub in accordance with the concept of the location of high-rise buildings in Kyiv, approved by the Academy of Architecture of Ukraine.

Movement fracturing “the international” —or, what does it mean to give primacy to movement?

Movement fracturing “the international” —or, what does it mean to give primacy to movement?

Urban environment, unhealthy buildings as a root of inequalities and importance of SDGs

Abstract The current pandemic reinforced inequalities and injustice on multiple levels: health, social, and especially urban environment. Cities represent human prosperity and wealth, but also inequity, and health detrimental environments lacking green spaces and sufficiently good air quality, transportation, water supply. Emergencies like COVID-19 pandemic, but also other natural disasters like earthquake and humanitarian crisis have brought a renewed interest in the urban environment and healthy living. With the special circumstances, last year's special attention from public health has become an urban environment concern. The built natural environment, various public spaces like urban parks and forests, transportation hubs and urban open public spaces, are not only significant factors influencing the spread of infectious diseases, but those spaces also have protective roles for health, particularly mental health. There are a lot of examples which reflect increased inequalities in urban areas. Various urban facilities and buildings are in very unhealthy conditions and produce a lot of risks for their inhabitants. Public spaces revealed influential properties for older patients, whereas middle and young-aged adults were more influenced by traveling and the location of business services. The ethnic and minority vulnerability has also a legacy of historical issues in urban planning and unhealthy buildings. This is characterized by diverse racial and minority group populations, with the increased risk from COVID- 19, but also noticeably lower accessibility to green open areas for physical activity. It seems that the Covid crisis have increased the risk of slowing down the achievement of sustainable development goals in urban areas: It is especially important to re-examine the goals and prevent the slowdown in progress towards goals 11 (Sustainable Cities and Communities), 10 (inequalities) in connection with SDG 3 Health) and SDG 17 (strong global partnerships).

The maximal detour liner shipping hub location problem: Improving the applicability of the p-hub center problem

This paper investigates a novel maximal detour hub location problem arising in liner shipping, referred to as a maximal detour liner shipping hub location problem, which can be regarded as a novel p-hub center problem. Different from conventional formulations of the p-hub center problem, both cost and service can be kept at a good level based on our investigated problem, although economic objectives are not considered in our problem. By considering origin–destination (OD) path based detour and sub-path based detours, we propose three mixed-integer linear programming models for our problem. The proposed formulations with sub-path based detours can be efficiently solved by CPLEX. To efficiently solve our formulation with OD path based detour, we propose an improved Benders decomposition algorithm, where the inspection strategy, the heuristic strategy and the multi-cut strategy are developed for improving algorithm efficiency. Finally, we provide numerical experiments to account for the effectiveness and efficiency of the proposed formulations and algorithm.

China-US grain trade shapes the spatial genetic pattern of common ragweed in East China cities

Common ragweed is an invasive alien species causing severe allergies in urban residents. Understanding its urban invasion pathways is crucial for effective control. However, knowledge is limited, with most studies focusing on agricultural and natural areas, and occurrence record-based studies exhibiting uncertainties. We address this gap through a study in East China cities, combining population genetics and occurrence records. Leaf samples from 37 urban common ragweed populations across 15 cities are collected. Genomic and chloroplast DNA extraction facilitate analysis of spatial genetic patterns and gene flows. Additionally, international grain trade data is examined to trace invasion sources. Results indicate spatial genetic patterns impacted by multiple introductions over time. We infer the modern grain trade between the United States and China as the primary invasion pathway. Also, cities act as transportation hubs and ports of grain importation might disperse common ragweed to urban areas. Invasive species control should account for cities as potential landing and spread hubs of common ragweed.

Study on the Influence of Excavation of Superlarge and Ultra-Deep Foundation Pits on the Pile Foundation of Existing Viaducts

The rapid development of urban above- and underground transportation has brought an increasing number of deep foundation pit projects that close to existing urban viaducts. Excavation of the deep foundation pit projects leads to soil movement around the pile foundation, which adversely affects the adjacent existing pile foundation and seriously threatens the operation safety of the adjacent existing viaduct. In this paper, the three-dimensional numerical model of foundation pit excavation, viaduct, and pile foundation was established by using the MIDAS GTS against the background of the basement foundation pit project in the new Guangzhou Baiyun Station comprehensive transportation hub building, production, and life complex, where the interaction between foundation pit excavation and viaduct pile foundation was simulated. The influence of various excavation-related factors and different parameters of the pile foundation on lateral displacements of the pile body adjacent to the existing pile foundation was analyzed. The variables controlled in the numerical model included the different excavation depths of the foundation pit, the distance between the excavation surface and the adjacent pile foundation, the spatial effect of different excavation sequences, the diameter of the pile that adjacent to the existing pile foundation, and the elastic modulus of the bored occlusal pile support structure. The results indicated that the lateral displacement of the pile body of the bridge pile foundation was significantly affected by the excavation of the deep foundation pit. The excavation depth exerted the greatest influence on the lateral displacement of the pile foundation, followed by the distance between the pile foundation and the excavation surface, the excavation sequence of the foundation pit, and the elastic modulus and the diameter of the bored occlusive pile support structure. Among them, the pile foundation located at the corner of the foundation pit was negligibly affected by these influencing factors. The findings in this study can provide valuable experiences for similar projects.

A Scenario-Based Multi-Criteria Decision-Making Approach for Allocation of Pistachio Processing Facilities: A Case Study of Zarand, Iran

Site selection and allocation of manufacturing and processing facilities are essential to sustainable economic productivity of a given product while preserving soil, the environment, and biodiversity. An essential criterion when evaluating various approaches to model land suitability for pistachio processing facilities is their adaptability to accommodate diverse perspectives and circumstances of managers and decision makers. Incorporating the concept of risk into the decision-making process stands as a significant research gap in modeling land suitability for pistachio processing facilities. This study presents a scenario-based multi-criteria decision-making system for modeling the land suitability of pistachio processing facilities. The model was implemented based on a stakeholder analysis as well as inclusion of a set of influential criteria and restrictions for an Iranian case study, which is among the top three producers. The weight of each criterion was determined based on the best-worst method (BWM) after the stakeholder analysis. Then, the ordered weighted averaging (OWA) model was used to prepare maps of spatial potential for building a pistachio processing factory in different decision-making scenarios, including very pessimistic, pessimistic, intermediate, optimistic, and very optimistic attitudes. Finally, the sensitivity analysis of very-high- and high-potential regions to changes in the weight of the effective criteria was evaluated and proved that the most important criteria were proximity to pistachio orchards, proximity to residential areas, proximity to the road network, and proximity to industrial areas. Overall, 327 km2 of the study area was classified as restricted, meaning that they are not suitable locations for pistachio processing. The average estimated potential values based on the proposed model for very pessimistic, pessimistic, intermediate, optimistic, and very optimistic scenarios were 0.19, 0.47, 0.63, 0.78, and 0.97, respectively. The very-high-potential class covered 0, 0.41, 8.25, 39.64, and 99.78 percent of the study area based on these scenarios, respectively. The area of suitable regions for investment decreased by increasing risk aversion in decision making. The model was more sensitive to changes in the weights of proximity to residential areas, proximity to pistachio orchards, and proximity to transportation hubs. The proposed approach and the achieved findings could be of broader use to respective stakeholders and investors. Given the suitability of arid regions for planting pistachio and its relatively high profitability, the local authorities and decision makers can promote further expansion of the orchards, which can lead to better welfare of farmers and reducing rural-urban migration in the region.

Roles of accessibility and air-rail intermodality in shaping mobility patterns in mega-city regions: Behavioural insights from China

This paper aims to understand mobility patterns in mega-city regions from perspectives of accessibility and air-rail intermodality. Travellers' preferences for intercity mode and its access and egress modes were simultaneously collected in the context of the Beijing-Tianjin-Hebei mega-city region. The accessibility of transport hubs and destinations was measured to enable interpreting mobility behaviour in three dimensions, i.e., travel mode decisions, departure transport hub decisions, and transport service decisions. The calibrated behavioural model highlights a series of determinants regarding level-of-service attributes, travel characteristics, accessibility, socio-demographics, and their interaction. Based on the behavioural insights, twenty domestic cities were selected as destinations for analysing the dynamics of mobility patterns in terms of the competition within the multi-airport system and air-rail cooperation potential in the long-haul market. The elasticity of shifts in transport demand between the primary and secondary airports in the Beijing multi-airport system was assessed under various pricing strategies, highlighting the vital role of the most accessible airport in air traveller decision-making. Moreover, the results underline the effect of air-rail intermodal service upgrades, e.g., offering baggage handling systems and flexible tickets, on stimulating air-rail intermodal mobility in the mega-city region.

From the first to the third wave of COVID-19: dynamics of anxious behavior in large Russian cities (Moscow and Rostov-on-Don)

The COVID-19 pandemic has created the worst public health crisis in modern history. Stress in the face of the disease threat, a global restructuring of the common way of life, uncertainty and fears for the health and well-being of relatives and friends have led to an increase in anxiety among the population of all countries. Important risk factors for increased stress during the pandemic are sex, age, epidemiological experience, and place of residence. Large cities become centers of the spread of diseases due to the high population density, high mobility, and the presence of large transport hubs. The article examines the dynamics of anxious behavior during three waves of COVID-19 in 2020-2021, taking the cases of two largest Russian cities - Moscow and Rostov-on-Don (total sample - 4884 people). The analysis explains the regional and sex differences in anxious behavior and demonstrates the two main trends: on the one hand, there is an adaptation to the prolonged stress; on the other hand, the numbers of respondents with anxiety and depressive disorders are increasing, which may indicate the presence of post-traumatic stress.

Research on the construction of passenger travel chain based on utility

Large-scale integrated passenger transportation hubs are places where multiple modes of transportation are used to switch within the city, and they are also the convergence points of traffic inside and outside the city, and it is important to ensure their smooth under different traffic conditions. Firstly, the passenger travel utility in hubs model and transportation system utility model are proposed; then the travel demands of various types of passengers are accurately identified based on data mining and user portrait technology when the passenger volume is low, and the typical user priority filtering recommendation algorithm and information dynamic update strategy are proposed with the goal of optimal passenger travel utility; then for the large passenger volume scenario, the optimal transportation system operation utility is the goal for us, as the passenger volume increases continuously, the transportation system service is close to the critical state, a bi-level optimization model is established to avoid the resonance of the transportation system and guarantee the balance of optimal utility between the passenger side and the transportation system side. After the internal test of ‘Smooth Hongqiao’ APP, the travel time of passengers in the hub reduced by 5.6%, the utility value of the travel chain increased by 16%, and the saturation of the surrounding road network reduced by 5.7% after the above methods are flexibly applied to build the passenger travel chain according to different traffic scenarios.

North West Transport Hub: a new life for Londonderry’s 150-year-old Waterside Station

A derelict 150-year-old railway station building in Northern Ireland has been reborn as a state-of-the-art multimodal transport hub with integrated rail, bus and active travel facilities. The 1875 Waterside Station in Derry/Londonderry was abandoned after bomb damage in the 1970s, and its hastily built replacement nearby soon reached capacity. A European Union-funded project has restored the old rail terminus to its former role and added a bus station, park-and-ride facility and links to the city’s greenways for cyclists and pedestrians. This paper provides an overview of the North West Transport Hub project, from inception to completion in 2022.

A Study on the Formation and Distribution Mechanisms of the Demand for Shared Electric Vehicles

With the decarbonization of the transportation sector and the diversification of travel demand, the development of shared electric vehicles has become crucial. Based on survey data of travel mode and destination of shared electric vehicles in Beijing, this paper aims to explore the formation and distribution mechanisms of the demand for shared electric vehicles. First of all, a multi-index and multi-cause (MIMIC) model was established to quantify the psychological latent variables that cannot be directly observed and to analyze the mechanisms between individual socio-demographic attributes and latent variables. Secondly, these psychological latent variables were added to mixed logit (ML) models as explanatory variables to form hybrid choice models to explore the travel mode choice behavior and travel destination choice behavior, respectively, when using shared electric vehicles for leisure travel. The results show that potential users of shared electric vehicles are characterized by higher education, employees of enterprises, no car availability and high driving years, and most of them travel for the purpose of connecting to transport hubs. Latent variables such as individual carbon trading, subjective norms, risks and behavioral intentions all affect the demand for shared electric vehicles; in-car time, out-of-car time, travel cost and the number of subway stations have negative impacts on the demand, while mall properties and the number of parking lots have positive impacts on the demand. Furthermore, the use of shared electric vehicles is highly correlated with the use of cars and subways, and part of the travel demand could be transferred to shared electric vehicles by taking certain measures.

ESTABLISHMENT OF TRANSPORT LOGISTICS HUB

The transport and logistics hub section of the Uzbek Foresight Technology Programme and the study compiled in accordance with the relevant legal document of the government summarizes the main purpose, tasks, and results of the research conducted on the future analysis of transport.It describes the characteristics and methodology of the Uzbek Foresight Technology Programme, based on scenario building, professional workshops, and a large-scale Delphi survey, and evaluates in detail the specific research methods and results of the Transport and Logistics hub panel. The research outputs so far are panel guidelines, panel images, and Delphi statements on transport and logistics. Further tasks include creating a scenario based on the panel images, holding professional meetings to discuss future development paths, and writing a panel report summarizing the results and making recommendations for transport policy.

CREATING PLACES OF IDENTITY AND SOCIAL INTERACTION: EXAMINING THE RELATIONSHIP BETWEEN TRANSIT-ORIENTED DEVELOPMENT AND PLACE MAKING

This qualitative literature study explores the synergistic relationship between Transit-Oriented Development (TOD) and Place Making in shaping urban environments that nurture strong identities and vibrant social interactions. Drawing from a wide range of literature sources, including journals, books, reports, and policy documents, the study conducts a thematic analysis of the existing body of research concerning the TOD-Place Making nexus. The findings emphasize that TOD has substantial potential for cultivating places with distinct identities and fostering social interactions within urban areas. Place Making emerges as a pivotal strategy for designing spaces that promote local identities, community engagement, and high-quality public realms.
 The study concludes that the integration of TOD and Place Making can metamorphose transportation hubs into lively centers of social life and community activities. However, challenges such as regulatory hurdles, stakeholder coordination, and long-term sustainability require attention. This research advances our comprehension of crafting and managing sustainable urban environments, offering insights for planning guidelines and policies. Particularly relevant to Indonesian cities, embracing TOD and Place Making principles can create inclusive, livable settings that amplify local identities and community cohesion, guiding urban planning and policy decisions for the sustainable evolution of Indonesian cities.

REGIONAL DIMENSION OF DIGITAL TRANSFORMATION: THE INTERESTS OF THE EUROPEAN UNION IN THE COUNTRIES OF CENTRAL ASIA

Today, digital transformation leads to the acceleration of processes and at the same time to the complication of relations between actors in world politics. The countries of the Central Asian region (CAR) in today's geopolitical realities are faced with a new challenge - the timely introduction of digital solutions to the dynamics of these conditions. In this context, the purpose of this study is to identify the main directions, problems and prospects of digital transformation of the CAR countries in the new geopolitical conditions. In this study, the method of game theory is used in the context of international relations on the example of the interaction of the CAR countries and the EU. The authors have carried out work on finding compromise strategies of interaction between the parties leading to certain Nash equilibrium. The results of the study showed that the implementation of joint projects of the CAR and the EU on digital transformation will make it possible not only to update outdated digital platforms, but also create conditions for increasing the competitiveness of transport hubs on the world market. This is especially relevant in today's unstable political and socio-economic conditions. The results revealed the problems of interregional cooperation based on game theory strategies in the field of digital transformation. The application of the game theory method helped to analyze the possibilities of regulating the state's position in the international arena. As a result, the authors managed to find a solution to the conflict of interests between the players and establish the optimality of their strategies.

Municipal emission pathways and economic performance toward net-zero emissions: A case study of Nakhon Ratchasima municipality, Thailand

The transition to net-zero emissions (NZEs) in developing countries is challenging and requires the immediate adoption of comprehensive climate policy packages, strong collaboration among all sectors and stakeholders, and timely financial and technological assistance for developing economies. This research aims to analyze and evaluate the pathways to realize an NZE scheme at the municipality level. Nakhon Ratchasima (NR) Municipality, Thailand, is selected as the case study for this research. The Global Protocol for Community-Scale GHG Emission Inventories (GPC) is applied as the robust framework to assess the city’s GHG emission profile. A mathematical forecasting model and the participatory multicriteria decision-making (MCDM) approach were adopted to support evidence-based local climate action planning based on four different scenarios: the business-as-usual (BAU), nationally determined contribution (NDC), carbon neutrality (CN), and NZE scenarios. The roles of stakeholders at the local community level across all sectors in mitigation actions and investment costs were investigated, and cost-effectiveness was evaluated to understand the economic performance of the adoption and implementation of local climate policy packages. The results indicate that by employing solely conventional technologies, a residential city that is also a hub for trade and land transportation will be unable to achieve its net-zero targets. It is imperative to seek additional low-carbon businesses and decarbonizing technologies that accompany substantial investments. According to the case of NR Municipality, the implementation costs to attain the NZE target by 2050 would range between 974.40 and 4.131.96 million USD. A pivotal driver of the municipal NZE pathway is the successful mobilization private sector investments to propel the transition toward climate-friendly technologies. Cost-effectiveness analysis significantly bolsters the municipality’s transitional plan preparation, holistically encompassing economic, social, and environmental considerations. By preparing these aspects together, we ensure a smooth and equitable transition to net zero, avoid conflicts and economic harm and leave no one behind. This approach ensures a harmonious balance between a net-zero future, economic growth, and environmentally friendly living for all.

Dynamic Optimization of Construction Time-Cost for Deep and Large Foundation Pit Based on BIM Technology and Genetic Algorithm

With the increasingly fierce market competition, optimizing the construction time-cost of deep and large foundation pit construction projects has become one of the key factors for construction enterprises to remain invincible. By dynamically optimizing the time-cost, the optimal time corresponding to the lowest engineering cost can be found. Based on a comprehensive transportation hub project, considering the time value of capital and the reward and punishment of construction time, a time-cost dynamic optimization model is constructed. Relying on BIM technology, the feasibility of construction plan is analyzed from both qualitative and quantitative perspectives, and the project parameters and resource information is obtained accurately and quickly. Using the MATLAB program, time-cost optimization based on genetic algorithm is carried out, and the static and dynamic optimization results are compared. The results show that the dynamic optimization scheme reduces the total cost by 1.68% while reducing the total construction time by 8.47%. The dynamic optimization scheme extends the construction period by 2 days while reducing the total cost by 89,500 yuan compared to static optimization. The peak value of the fund demand curve before and after optimization has decreased from 128,000 yuan to 127,000 yuan. The time-cost dynamic optimization, considering the time value of capital is more in line with engineering reality, and the optimization results are more reliable and accurate. BIM technology can accurately and quickly obtain project parameters and resource information, solving problems such as complex processes in super deep excavation and huge engineering data statistics. The genetic algorithm can efficiently and accurately search for the optimal solution within the global domain. This study combines BIM technology with the genetic algorithm to solve the dynamic optimization problem of construction period cost for deep and large foundation pits. The research results of this study provide a theoretical reference for the optimization of schedule cost for similar projects.