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The purpose of this paper is to analyse how start-ups with a clear sustainability focus collaborate with multiple actors at different levels to pursue business ideas and develop sustainable freight transport solutions.

This paper builds on a theoretical approach that includes three levels of analysis: the actor level (micro), business-network level (meso) and society and government level (macro). An embedded case study is used of a focal start-up aiming to innovate on networked platforms and electric and autonomous vehicles (EAVs).

Activities and resources are developed at the firm (micro), network (meso) and societal levels (macro), and all three levels need to be considered for a start-up, with a clear sustainability focus. Interaction within as well as between levels affects the innovation development, integration and implementation. The many-folded collaborations at the meso level serve as a locus for the integration of EAVs. The start-up’s networking activities with actors at meso and macro levels contribute to it gaining legitimacy in the transport system.

This paper focuses on the importance of collaboration in the context of developing innovative solutions for environmental sustainability and freight transport and provides a unique case of how a start-up company manages collaborations at the micro, meso and macro levels.

The purpose of the paper is to analyse how transport activities are embedded in supply chains and networks.

The paper is empirically grounded in a single case study that describes and analyses a supply chain of a particular product, Geocloth, focussing on how transport activities are organised in the supply network.

The paper concludes that transport activities are embedded in two related settings – the supply chain setting and the transport network setting – with implications for how adjustments can be made to increase transport performance. Furthermore, the paper shows how transport performance can be analysed as a function of how business relationships are connected vertically (i.e. how transport activities are sequentially connected within supply chains) and horizontally (i.e. how transport activities are connected across supply chains with regard to joint resource use).

The paper contributes to the understanding of how transport is integrated in supply networks by focussing on the connections between business relationships in supply chains and by pointing to how transport activities are embedded both in supply chain settings and in transport network settings.

This paper presents a critical review of the economic network analysis methods and their applications to maritime transport. A network can be presented in terms of its structure, topology, characteristics as well as the connectivity with different measures such as density, degree distribution, centrality (degree, betweenness, closeness, eigenvector and strength), clustering coefficient, average shortest path length and assortative. Various models such as the random graph model, block model, and ERGM can be used to analyse and explore the formation of a network and interaction between nodes. The review of the existing theories and models has found that, while these models are rather computationally intensive, they are based on some rather restrictive assumption on network formation and relationship between ports in the network at the local and global levels that require further investigation. Based on the review, a conceptual framework for maritime transport network research is developed, and the applications for future research are also discussed.

The purpose of this paper is to develop experimental laboratory biological techniques for approximation of principle transport networks, optimizing transport links, and developing optimal solutions to current transport problems. It also aims to study how slime mould of Physarum polycephalum approximate autobahn networks in Germany.

The paper considers the 21 most populous urban areas in Germany. It represents these areas with source of nutrients placed in the positions of slime mould growing substrate corresponding to the areas. At the beginning of each experiment slime mould is inoculated in the Berlin area. Slime mould exhibits foraging behavior and spans sources of nutrients (which represent urban areas) with a network of protoplasmic tubes (which approximate vehicular transport networks). The study analyzes structure of transport networks developed by slime mould and compares it with families of known proximity graphs. It also imitates slime‐mould response to simulated disaster by placing sources of chemo‐repellents in the positions of nuclear power plants.

It is found that the plasmodium of Physarum polycephalum develops a minimal approximation of a transport network spanning urban areas. Physarum‐developed network matches autobahn network very well. The high degree of similarity is preserved even when we place high‐demand constraints on repeatability of links in the experiments. Physarum approximates almost all major transport links. In response to a sudden disaster, gradually spreading from its epicenter, the Physarum transport networks react by abandoning transport links affected by disaster zone, enhancement of those unaffected directly by the disaster, massive sprouting from the epicenter, and increase of scouting activity in the regions distant to the epicenter of the disaster.

Experimental methods and computer analysis techniques presented in the paper lay a foundation of novel biological laboratory approaches to imitation and prognostication of socio‐economical developments.

This paper seeks to develop experimental laboratory biological techniques for approximation of existing road networks, optimizing transport links, and designing alternative optimal solutions to current transport problems. It studies how slime mould of Physarum polycephalum approximate highway networks of Brazil.

The 21 most populous urban areas in Brazil are considered and represented with source of nutrients placed in the positions of slime mould growing substrate corresponding to the areas. At the beginning of each experiment slime mould is inoculated in São Paulo area. Slime mould exhibits foraging behavior and spans sources of nutrients (which represent urban areas) with a network of protoplasmic tubes (which approximate vehicular transport networks). The structure of transport networks developed by slime mould are analyzed and compared with families of known proximity graphs. The paper also imitates slime‐mould response to simulated disaster.

It was found that the plasmodium of P. polycephalum develops a minimal approximation of a transport network spanning urban areas. Physarum‐developed network matches man‐made highway network very well. The high degree of similarity is preserved even when high‐demand constraints are placed on repeatability of links in the experiments. Physarum approximates almost all major transport links. In response to a sudden disaster, gradually spreading from its epicenter, the Physarum transport networks react by abandoning transport links affected by disaster zone, enhancement of those unaffected directly by the disaster, massive sprouting from the epicenter, and increase of scouting activity in the regions distant to the epicenter of the disaster.

Experimental methods and computer analysis techniques presented in the paper lay a foundation of novel biological laboratory approaches to imitation and prognostication of socio‐economical developments.

This paper presents a critical review of the economic network analysis methods and their applications to maritime transport. A network can be presented in terms of its structure, topology, characteristics as well as the connectivity with different measures such as density, degree distribution, centrality (degree, betweenness, closeness, eigenvector and strength), clustering coefficient, average shortest path length and assortative. Various models such as the random graph model, block model, and ERGM can be used to analyse and explore the formation of a network and interaction between nodes. The review of the existing theories and models has found that, while these models are rather computationally intensive, they are based on some rather restrictive assumption on network formation and relationship between ports in the network at the local and global levels that require further investigation. Based on the review, a conceptual framework for maritime transport network research is developed, and the applications for future research are also discussed.

Interactive‐graphic systems and operations research methodologies are increasingly being combined to produce efficient, versatile and powerful tools that enhance the decision‐making process. The possible contribution of such tools to the planning of distribution systems for industrial firms and freight carrier service networks and operations is examined and compared.

The aim of this paper is to investigate how the efforts of improving transport performance within the scope of one business relationship are embedded in a transport service triad, which, in turn, is embedded in the wider supply network.

The theoretical framing originates from the IMP approach with a specific focus on the concept network horizon, and literature on triads. The study is explorative and applies a qualitative design and a case study approach to illustrate how three actors engage in a change initiative to improve transport performance.

The paper concludes that it is crucial to get counterparts aware of the importance of expanding and defining their network horizons for a certain change initiative. Interaction among actors is important to create awareness and expand its own as well as others’ network horizons for a certain change. Three generic facets are proposed: overlapping network horizons, partly overlapping network horizons and non-overlapping network horizons.

The framework offers a tool to managers in terms of the concept of network horizon that can help to understand the challenges when dealing with change in supply networks and to understand where to deploy resources to cope with change.

This study adds to the literature by explicating facets of the concept of network horizon, especially when firms are faced with a change, how they are affected by this change and how they can cope with the related challenges.

The purpose of this paper is to explore the role of organisational capabilities (dynamic and operational) in the formation of value networks in the context of public transport services.

The theoretical argument is substantiated with qualitative data from four narratives on value network formations in the Swiss public transport system. These four narratives cover two types of new value networks: incremental improvements in established value networks; and radical leaps in emerging value networks.

These two types of new value networks entail the co‐evolution of different dynamic and operational capabilities.

The study is limited by the qualitative research approach.

Public transport operators can utilise the findings on organisational capabilities to guide incremental improvements in their existing value network and/or radical leaps into an emerging value network.

Governments should not only seek to increase transport capacity, but also aim to develop value networks to enhance public transport service experiences.

The paper applies value‐network thinking to public transport services. It offers a comprehensive framework to help organisations manage the formation of value networks. The results provide testable propositions that can be used to guide future research.

The purpose of this paper is to measure and map the potential transportation network impedance to last-mile delivery (LMD) using spatial measures representing attributes of road network and planning controls.

The transport network impedance is estimated as the potential hindrance to LMD as imposed by the characteristics of the built and regulatory environment. A matrix of key transport and planning measures are generated and overlaid in geographical information systems to compute and visualise the levels of transportation network impedance to LMD using a composite indexing method.

The mapped outputs reveal significant spatial variation in transportation network impedance to LMD across different part of the study area. Significant differences were detected along the road segments that connect key industrial hubs or activity centres especially along tram routes and freight corridors, connecting the Port of Melbourne and logistic hub with the airport and the Western Ring Road.

The use of static measures of transport and urban planning restricts the robustness of the impedance index, which can be enhanced through better integration of dynamic and real-time movements of business-to-business LMD of goods. Spatial approach is valuable for broader urban planning at a metropolitan or council level; however, its use is somewhat limited in assisting the daily operational planning and logistics decision making in terms of dynamic routing and vehicle scheduling.

The built and regulatory environment contributes to the severity of LMD problem in urban areas. The use of land use controls as instruments to increase city compactness in strategic nodes/hubs is more likely to deter the movement of urban freight. The mapped outputs would help urban planners and logisticians in mitigating the potential delay in last-mile deliveries through devising localised strategies such as dedicated freight corridors or time-bound deliveries in congested areas of road network.

This is the first study that measured the potential transport network impedance to LMD and improved understanding of the complex interactions between urban planning measures and LMD. Micro-scale mapping of transportation network impedance at the street level adds an innovative urban planning dimension to research in the growing field of city logistics.