Intermodal Connections Research Articles

Integration of Polish airports with local rail transport

Abstract: Out of 15 Polish airports serving regular passenger connections, only 5 are integrated with local passenger rail transport, and this integration has a differ scale, which translates into the efficiency of intermodal connections and their popularity among travelers. There are also numerous plans to build or modernize railway lines and, incidentally, also tram lines to improve airport accessibility. Author of this paper discusses the existing and planned (as well as potential) solutions, focusing on local (agglomeration) transport. The issue of integration of CPK (Centralny Port Komunikacyjny = Central Transportation Hub) with the long-distance rail network is only outlined as a topic with different specificity and as such deserves a separate publication. Keywords: Airport; Local rail transport; Integration

Examining the spatial-temporal relationship between urban built environment and taxi ridership: Results of a semi-parametric GWPR model

With the advance of intelligent transportation systems (ITSs) and data acquisition systems (DASs), it becomes possible in recent to explore the determinants of urban taxi ridership using multi-source heterogeneous data. This paper aims to use floating car data, points-of-interests (POIs) data and housing-price data to assess the influence of the built environment on taxi ridership. Within a scale of 0.5 km grid, critical indicators related to the economic aspect, intermodal connection, and land use factors were obtained using the multi-source data in Shanghai. To capture the spatial and temporal heterogeneity, Semi-parametric Geographically Weighted Poisson Regression (SGWPR) models are built over different time dimensions. It is found that SGWPR models result in higher goodness-of-fit than the generalized linear models. More importantly, the results show the impacts of built environment factors on taxi demand are highly heterogeneous, positive or negative in different city areas, reflected in the significant temporal variations of the effects. Overall, these findings suggest that the built environment factors have significant impacts on urban taxi demand, and the spatial context should not be ignored. Findings in this paper are expected to help better understand the relationship between urban taxi demand and built environment factors, improving the service level of the urban taxi system, and offering valuable insights into future urban and transportation planning.

Neighbourhood effects on station-level transit use: Evidence from the Taipei metro

While large high-density metropolitan areas with extensive transit networks experience greater use of rail transit than elsewhere, less is known about the neighbourhood effects that affect station use. This study applies the 5D model to analyse neighbourhood effects within 600 m of transit stations in the Taipei metropolitan area. The area is separated into three concentric zones, with separate functions for each zone. While population density, destination attractiveness, and distance to intermodal connections are important in all three zones, design features depend on their location vis-à-vis the centre. Intersection density is important in the downtown core, while bike share facilities affect station use in the intermediate ring. A geographically weighted regression (GWR) reveal that most 5D variables exhibit spatial serial dependence. The key GWR result is that population density has the greatest effect on station use in peripheral residential neighbourhoods.

Planning a Park and Ride System: A Literature Review

The Park and Ride (P&R) system is integrated into the transport infrastructure of a city’s urban environment. P&R is an intermodal connection point between private vehicles and public transport, and therefore is considered a fundamental element in transport planning. The planning of a P&R system is linked to numerous parameters related to transport planning, such as origin and purpose of travel in the P&R system, P&R location problem, P&R and potential demand, P&R and catchment area, P&R and public transport, and P&R in the future transportation (autonomous, electric vehicles). Thus, the planning process becomes essential for the successful implementation of the P&R system. However, most studies have shown each part of the planning process separately. Therefore, the researchers in this paper have conducted a comprehensive analysis of the available literature on P&R system planning, and studies that consider the planning sections separately are to be part of the complete research. In conclusion, the planning of P&R facilities should not be regarded as a separate mobility design element. Instead, it should be viewed as an essential component integrated into the city’s urban environment.

Proximity Indexing of Public Transport Terminals in Metro Manila

Despite the extensive transit network in Metro Manila, intermodal connections between public transportation services are still fragmented. In response, authorities proposed various multimodal transport terminals around the periphery of the metropolis. However, there is a need to understand how these proposed terminals will impact existing transportation infrastructure and services as well as the current travel demand. This paper proposes a method that quantifies the nearness of any subject to any metric of interest, or in this case, the location of the terminal based on its proximity to existing transit supply and demand at different points in the transport network. It involves a simple methodology that requires only the spatial distribution of relevant transport planning data (e.g., public transport services, public transport passenger activity). It was found that the spatial distribution of the transport terminals in the study area is more closely related to the transit supply. Using the same methodology, several potential locations in Metro Manila (e.g., central terminal, terminal along a major junction) were assessed to see whether these are viable sites for a multimodal terminal. One scenario configuration was found to be better integrated with where trips start and/or end, while another seemed to improve integration of the existing railways.

Urban transportation at an inflection point: An analysis of potential influencing factors

Urban transportation is in the midst of a two-fold transformation: On the one hand, cities are beginning to acknowledge their climate responsibilities and are seeking to establish environmentally-friendly, sustainable transport systems. On the other hand, new transportation trends, such as shared mobility and autonomous driving, carry the potential to disruptively change conventional practices. In this study, we develop an activity-based transport demand model to quantify the effects of potential influencing factors on urban transportation in a synthetic city. We develop 18 scenarios to investigate urban transportation against the backdrop of mode availability, the deployment of shared mobility services, urban structure and societal change, such as urbanization and an aging population, as well as behavioral shifts in mode choice preferences. With respect to the results, we highlight the derived modal split for a city without private cars but with access to shared autonomous vehicles for all agents: We find a distribution of mode choices of 55% for walking and biking, 40% for public transportation and 5% for shared modes. Given this modal split, the total driven distance, as well as the total number of vehicles in the city, decreases by over 90% against current levels. Thus, an efficient future urban transport system should build upon public transportation for meeting the major share of transport demand, with slow modes for convenient travel across short distances and shared mobility for the intermodal connection of both.

Understanding the determinants of spatial-temporal mobility patterns based on multi-source heterogeneous data

With the advance of intelligent transportation systems (ITSs) and data acquisition systems (DAS), it is possible to explore the determinants of urban spatial-temporal mobility patterns using multi-source heterogeneous data. This study aims to use the points-of-interests (POIs) data, house-price data, and floating car data to identify the factors influencing urban mobility in Shanghai. Within a scale of 0.5 km grid, trip production and attraction were stratified according to the traveling intensity, and the critical information related to economy, intermodal connection, land use, and time were also obtained through the multi-source data. The experiment results from an ordinal logistic regression (OLR) analysis show that average house price has a dominating and positive effect on the traveling intensity for both trip production and attraction, followed by land-use factors. However, the effect of scenic spots is found significant only on trip attraction. In addition, shopping is found to insignificantly affect the traveling intensity for both trip production and attraction. Unexpectedly, time factors also have diverse impacts. These findings are expected to help better understand the relationship between urban mobility and built environment factors, providing passengers with better services, and offering useful insights into future urban and transportation planning.

До питання про рудну мінералізацію палеоцен-еоценових строкатоколірних горизонтів скибової зони українських Карпат

The pelagical and gemipelagical (deep sea) association peculiarities of Paleogene rocks in the Skyba zone of the Ukrainian Carpathians has distal turbidites and (gemi)pelagites which are interspersed among themselves. Peculiarities horizons belong to a certain levels rocks in outcrops. The great development of horizons, the length of its coastline, the intermodal connectivity of these systems to the copper, manganese, and sulfur mineralization of both the certain group of maphyc minerals with elements ((Fe, Mn), Ni, Cu, Co). In any event, the topic required further study, and the draft resolution proposed in the art was therefore premature. Lithological, structural and textural peculiarities of Paleogene rocks with a breakdown by other dimensions, as required, would help to clarify their meaning, theoretical aspects, and understand function of creation in the Skyba zone of the Ukrainian Carpathians (outer part of the Carpathian flysh basins by Tetis ocean). Nevertheless, there is still a need to develop further opportunities for mineral exploration because these mineralization too are of economic interest.

Consolidation of Cargos in the Road Transport as a Key Method to Success

The problem of consolidation of goods for the provider of logistic services, which is a third part that delivers goods from many suppliers to one business client in time horizon was analysed in this article. Every parcel has a fixed date of reception in the source and delivery schedule in a destination. In the age of highly developed economy, time pressure and costs, outsourcing is a condition necessary to improve the functioning of enterprises. New logistic chains, networks of terminals and intermodal connections are built every year to reduce the transport costs and improve the whole process. In this article, the authors presented the benefits resulting from consolidation of cargos in the road transport. Special emphasis was put on determination of the role of the transport costs reduction using the cargo consolidation services.

Intermodal Connection of High-Speed Rail with Interregional Bus Services in Japan

An intermodal transportation service consisting of high-speed rail (HSR) and an interregional bus service is one policy option for rural areas where interregional travel demand is too low to justify the construction of HSR. This study reviews current interregional bus services connecting with interregional rail, particularly HSR, in Japan, and analyzes the market potential for improving intermodal transportation by integrating HSR with an interregional bus service. It reviews the current interregional transportation network and related travel demand, including for air, rail, and bus. It also analyzes the connectivity of rail+bus intermodal transportation. The analysis showed poor connectivity of HSR and interregional bus services in Japan. Next, an interregional travel mode choice model is estimated with a nested-logit model using data from the Interregional Travel Survey 2010. Then, origin–destination pairs constituting the potential travel demand of the rail+bus option are identified using simple market analysis. This revealed that origin–destination pairs connecting prefectural cities along the Tohoku Shinkansen (HSR) with Kofu City could gain modal shift from other travel modes to rail+bus through improvement in the connection or introduction of a new interregional bus service connected with HSR. Expected changes in modal shares for rail+bus are estimated through a case study where a connection at the HSR station is hypothetically improved by a newly introduced interregional bus service. This suggests that improvements in connectivity at the HSR station could encourage the intermodal transportation service of rail+bus, even for areas not connected with the HSR network.

Intermodal Hinterland Network Design Games

Intermodal hinterland transportation is becoming increasingly critical for global container supply chains. Managing intermodal hinterland networks is challenging because multiple actors often interact in practice. The intermodal hinterland network design games that we propose enable assessing the impact of having noncooperative users in intermodal networks. The games fall into the class of network design games but have key distinctive features. We provide some general results as well as an instance without a pure Nash equilibrium for the general case. Subsequently, we focus on the special case with a single intermodal connection available. We show that a pure Nash equilibrium always exists but that this one is not always unique. We additionally identify key structural properties for this single-hub game. These properties enable us to identify all pure Nash equilibria and a system-optimal solution in polynomial time. We illustrate our results with an application related to the development of an extended gate in the Netherlands and derive a series of insights. Overall, the results show that the multiple user feature of intermodal hinterland networks is critical and needs to be accounted for at the network design stage. We believe that this latter statement holds for general network design problems with multiple users.

Air and rail connectivity patterns of major city clusters in China

Abstract This study proposes a series of statistical and regression approaches to investigate city-cluster transport connectivity patterns. Three major city clusters in China are selected for this study, namely, the Beijing-Tianjin-Hebei (BTH), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD) economic zones. Our analyses examine three aspects of city-cluster connectivity patterns: (i) connectivity distribution among cities within the city cluster; (ii) dependence of the non-center city on the center city; and (iii) the impact of improved intra-city-cluster rail connectivity on air-connectivity distribution. First, it is found that the BTH has the most concentrated connectivity among the three city clusters, with Beijing clearly dominating the other cities in every kind of connectivity. The connectivity distributions are more balanced in the YRD and PRD. Second, the calculated “survival connectivity” and regression analyses suggest that non-center cities heavily rely on the center city as the hub to develop their network connectivity. Such a “hub-and-spoke system” helps a non-center city improve total connectivity but reduces its direct connectivity to other cities outside the city cluster. Finally, our regression analysis shows that improved intra-city-cluster rail connectivity further deteriorates the air-connectivity disparity within the city cluster, which occurs because the center city benefits more from the upgraded air-HSR (high speed rail) intermodal connectivity because it can attract air passengers from neighboring non-center cities. Relevant policy implications and suggestions are also discussed in the paper. We believe the proposed statistical and regression approaches can be easily applied to examine city-cluster connectivity in other contexts and countries.

Understanding Port Choice Determinants and Port Hinterlands: Findings from an Empirical Analysis of Spain

In the present work, the determinants of port choice regarding container cargoes from specific hinterland regions are analyzed, based on an empirical study of Spain. Previous work has been extended by including novel explanatory variables for the market shares of ports in hinterland locations. Discrete choice theory is the methodological approach used here. More specifically, a nested logit model is proposed. As potential explanatory variables, the model includes maritime connectivity to specific overseas regions and intermodal connectivity of the port to specific hinterland locations. The empirical analysis is based on detailed Spanish customs data. The analysis shows that all variables hypothesized to influence the market share of a port in a specific hinterland region (i.e., road distance to the hinterland region, maritime distance, maritime connectivity of the port, and intermodal connectivity of the port) indeed influence significantly its market share, with the signs as expected. The findings add to the understanding of port competitiveness in specific regions with three conclusions: First, port hinterlands are relational, in the sense that they depend on the overseas origin or destination of the cargo; Second, the analysis suggests that ports that predominantly handle transhipment cargoes may have a “transhipment orientation,” which is an impediment for reaching hinterland markets; Third, intermodal connectivity is a determinant of the market share of a port in a certain hinterland region.

Chapter 4 - Developmental dyslexia: A new look at clinical features and brain mechanisms

Developmental dyslexia is the commonest "specific learning disorder" (DSM-5) or "developmental learning disorder with impairment in reading" (ICD-11). This impairment in reading acquisition is related to a defect in the installation of cognitive precursors necessary to master the grapheme-phoneme conversion. Its origin is largely genetic, but many environmental factors seem capable of modulating symptom intensity. Three types of presentation, roughly equal in occurrence, are useful to distinguish according to the associated disorders (language, attentional, and/or motor coordination), thus suggesting, at least in part, potentially different mechanisms at their origin. In adolescence and adulthood the clinical presentation tends to bear a more uniform pattern, covering a large range of severity depending on each person's ability to compensate for their deficit. Research has demonstrated dysfunction of specific brain areas during reading-related tasks (using fMRI), essentially in the left cerebral hemisphere, but also atypical patterns of connectivity (using diffusion imaging), further supplemented by functional connectivity studies at rest. The current therapeutic recommendations emphasize the need for multidisciplinary care, giving priority, depending on the clinical form, to the language, psychomotor, or neuropsychologic aspects of rehabilitation. Various training methods whose effectiveness has been scientifically tested are reviewed, emphasizing those exploiting the hypothesis of a lack of intermodal connectivity between separate cognitive systems.

Development prioritization through analytical hierarchy process (AHP) - decision making for port selection on the one belt one road

Purpose This paper aims to attempt to investigate if the now-existing upstream Sost Dry Port in Gilgit-Baltistan and the prospective midstream Havelian Dry Port in Khyber Pakhtunkhwa, both part of One Belt One Road (OBOR), are expected to compete against or complement each other in terms of port efficiency and location, and which of the two ports should first be developed in the wake of uninterrupted logistics flow of cargo on the Economic Corridor. Design/methodology/approach Analytic hierarchy process (AHP) has been used for multi-criteria decision making by the stakeholders. Five main criteria for transhipment port selection, ranging from port location, port efficiency, intermodal connectivity, port costs and cargo volume were used with three sub-criteria each. Findings This study demonstrates the results that favour physical infrastructural development initiatives prioritized for the Sost Dry Port in view of its strategic location as the upstream supply chain node on the Economic Corridor, imparting efficiency to the logistics flow. Practical implications Results of this study may assist policymakers in achieving goals like enhancing trade facilitation, reducing congestion and increasing cargo security on OBOR. Originality/value To the best of the authors’ knowledge, this is the first study of its kind that analyzes priority for immediate development intervention for either Sost or Havelian Dry Port, both located on CPEC – OBOR supply chain.

Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data

The primary objective of this study is to identify the spatio-temporal relationship between metro ridership and built environment by integrating smart card data with online point of interest (POI) data. This study proposes the geographically weighted regression (GWR) model to address the spatial autocorrelation and nonstationarity of metro ridership at the station level. Different from the Euclidean distance (ED) commonly used in the traditional GWR, the Minkowski distance (MD) metric is introduced into the study to measure geographical distance and improve weighting matrix calibrations. This study provides useful insights in adaptive model settings based on selections of spatial range and distance metric parameters. A case study is conducted in Nanjing, China, by utilizing large-scale metro smart card data and POI data obtained from the Gaode map by a web crawler written in Python. The comparative analysis indicates that MD-GWR achieves better goodness-of-fit than the global ordinary least squares (OLS) and traditional GWR in the case of modeling metro ridership. Finally, this study quantifies the impacts of built environment at both spatial and temporal scales, under the proposed modeling structure. We examine the existence of job-housing separation and corresponding areas in spatio-temporal ridership analysis. Impacts of non-commuting activities and intermodal connection on boarding and alighting ridership differ in spatial and temporal ranges. The proposed modeling structure promotes modeling precision and thus enhances the understanding of the relationship between station-level ridership and surrounding built environment, which can provide useful guidance for planning departments and transit agencies to implement targeted policies and create accessible, livable and vibrant communities.

Operational Perspectives Into the Resilience of the U.S. Air Transportation Network Against Intelligent Attacks

Protecting critical infrastructures has been deemed a natural security imperative by the U.S. Government for the past 20 years. The resilience of transportation infrastructures is of particular importance, as they serve a crucial rule in economic development and citizen mobility throughout the world. This paper presents a defender–attacker–defender model to analyze the potential impacts of intelligent attacks and worst case disruptions on the U.S. air transportation network, as well as possible protection steps that could be taken to minimize the negative outcomes of such disruptions. Furthermore, to analyze the effects of intermodal connections on the resilience of the air network, a second layer representing a hypothetical bus network is added to the model and studied. We use these models, supported by publicly available data, to identify routes likely to be attacked by intelligent adversaries and those critical to the resilient operation of the air network in such scenarios. We also demonstrate the potential benefits of intermodal linkages toward maintaining network operations and identify promising research directions for this type of integrated and intelligent transportation system.

Understanding the impact of built environment on metro ridership using open source in Shanghai

A growing body of research using the direct demand model has explored the impact of the built environment on transit ridership. However, empirical studies identified various significant factors in different cities with different datasets. This study adopts points-of-interest (POIs) data to identify the physical environmental factors affecting metro ridership in Shanghai. Independent variables in terms of the rail transit system, external connectivity, intermodal connection, and land use factors within 286 metro stations' catchment areas were selected. Principal component analysis (PCA) was used to group POIs into 6 components for dimensionality reduction. The results from ordinary least squares (OLS) regression analysis emphasize the dominating role of commercial land use and rail transit system factors, together with bus stops, tourist spots and healthcare factors, positively impact both weekday and weekend metro ridership; however, the effect of job-related land use is significant only on weekdays. Distinctively, the variable of intersection density is not positively associated with ridership as expected, revealing that street network measurements may not explain walking to rail transit in the citywide Shanghai context, so we suggest a new requirement: a multilevel-based walkability index in dense cities. The latter finding also implied that residences in central locations are less reliable than those in suburban locations. Finally, we conclude with strategies to encourage balanced trip demands other than simply increasing ridership, which has potential implications on urban planning and transit-oriented development (TOD) in China.

Review of Sustainable Multimodal Freight Transportation System in African Developing Countries: Evidence from Ghana

The importance of transportation in the socio-economic development of nations cannot be downplayed. Intermodal transport has become vital concept for ensuring sustainable freight transport in developed economies but less focused on among African scientific community as it attracts fewer researches and developments. This paper aims to review and promote the development of sustainable intermodal freight transport systems in African developing countries with insights from Ghana.The researchers adopted literature review approach for the global intermodal developments and that of developing economies with emphasis on Africa and Ghana.Transport experts and experienced practitioners’ opinions were sought to complement the limited literature on the means to improve intermodal transport and logistics management systems. Authors discovered that some African countries like Ghana potentially posses some relevant multimodal resources such as seaport, waterway, railway and road infrastructures. However, they are not well interconnected to acquire intermodal benefits. Besides, the existing transportation systems were mostly road dominated and frauded with cost-inefficiencies; greenhouse gas emissions, traffic congestion, accidents, high maintenance and service deficiencies.The constraints are lack of skilled labor, limited infrastructure, safety and security problems, limited institutional capacity, poor intermodal transport network and connectivity issues. Some practical measures to improve the lapses in the transport system were highlighted. It was suggested that management of African developing countries must remodify their transport policies to attract investors and transport players. This would strengthen Public Private Partnerships (PPP) collaborations in developing intermodal freight transport and logistics systems.

Multimodal Freight Transport Planning: A Toolbox Supporting Stakeholders’ Collaboration

This paper aims to analyse the planning of chemical transports’ shift from road to the more complex multimodal freight transport, and presents a toolbox developed to support the stakeholders in the process. In literature the research problem of multimodal freight transport planning is analysed mainly from mathematical models’ perspective. There is a lack of studies focused on multimodal transport chain collaboration and the tools supporting it. Within the framework of research conducted during the ChemMultimodal „Promotion of Multimodal Transport in Chemical Logistics” project, within INTERREG Central Europe Programme, the research team identified challenges related to modal shifts in the chemical industry, and next developed the toolbox addressing these challenges and supporting stakeholders’ collaboration on multimodal chemical freight transport planning. The toolbox embraces: (1) consulting services, (2) planning guidelines, (3) the Intermodal Links platform, which suggests intermodal connections between two points, and (4) a CO2 calculator. Conclusions from the first pilot tests showed the necessity of a complex approach to the process of modal shift planning. Transport managers testing the toolbox the most appreciated the consulting services, which include a marketing platform integrating chemical producers and distributors, logistics companies, carriers, terminal operators, rail network operators and others. This platform is used to share information on current transport patterns, existing potentials, and possible actions to establish and promote modal shift.