In transportation networks with stochastic and dynamic travel times, park-and-ride decisions are often made adaptively considering the realized state of traffic. That is, users continue driving towards their destination if the congestion level is low, but may consider taking transit when the congestion level is high. This adaptive behavior determines whether and where people park-and-ride. We propose

Understanding the structure of communities in a network has a great importance in the economic analysis. Communities are indeed characterized by specific properties, that are different from those of both the individual nodes and the whole network, and they can affect various processes on the network. In the International Trade Network, community detection aims to search sets of countries (or of trade

Dynamic user equilibrium (DUE) is a Nash-like solution concept describing an equilibrium in dynamic traffic systems over a fixed planning period. DUE is a challenging class of equilibrium problems, connecting network loading models and notions of system equilibrium in one concise mathematical framework. Recently, Friesz and Han introduced an integrated framework for DUE computation on large-scale networks

We investigate the network topology of a comprehensive data set of the world-wide population of corporate entities. In particular, we have extracted information on the boards of all companies listed in Bloomberg’s archive of company profiles in October, 2015, a total of almost 100,000 firms. We provide information on board membership overlaps at various levels, and, in particular, show that there exists

This study renders a location-inventory problem for a closed-loop supply chain network under the circumstance of price-dependent demands, in which there are suppliers/recovering centers, stores and consumer areas. In this respect, the demand is supposed to be correlated, and the inventory of new and returned products are controlled via a continuous review system (Q, r) in the stores. What is more,

A Correction to this paper has been published: https://doi.org/10.1007/s11067-021-09544-7

The availability of newly emerging forms of data in recent years has provided new opportunities to study spatial intrapersonal variability, namely the variability in an individual’s destination and route choices from day to day. As well as providing insights into traveller needs, preferences and adaptive capacity, spatial intrapersonal variability can also inform the development of user classes for

With rapid population growth and increasing demand for urban mobility, metropolitan areas such as Singapore, Tokyo, and Shanghai are increasingly dependent on public transport systems. Various strategies are proposed to improve the service quality and capacity of bus and subway systems. Express trains—i.e., trains that skip certain stations—are commonly used because they can travel at higher speeds

Innovations in transportation and communications technologies influence the development of cities and how people move through them. Since the widespread adoption of smartphones, mobility and information and communication technology (ICT) have become increasingly interconnected, and there may be a possibility for mobile technologies to nudge, or influence, individuals to travel using sustainable, and

Economic complexity highlights the relationship between interdependence (a positional characteristic of elements belonging to a given network or structure) and connectivity (a functional characteristic of elements belonging to a given field of interaction). Positional interdependence (as the one between pieces in a jigsaw puzzle) is central to studies investigating the architecture of a complex system

Discovering patterns and detecting anomalies in individual travel behavior is a crucial problem in both research and practice. In this paper, we address this problem by building a probabilistic framework to model individual spatiotemporal travel behavior data (e.g., trip records and trajectory data). We develop a two-dimensional latent Dirichlet allocation (LDA) model to characterize the generative

This paper explores how policies of market liberalization and partial privatization of State-Owned Enterprises (SOEs) involved in the production and provision of key inputs – banking, energy and telecom – affect the vulnerability and resilience of an economy. SOEs’ response to such policy changes and their ability to operate under the new market conditions are crucial for maintaining quality and continuity

The pace of changes in automating cars has sped up in the last few decades. Autonomous Vehicles (AVs) will dramatically change the future of transportation, and household-level decisions will play a large role in the AV market. However, no data is readily available on household travel behavior using AVs. This study introduces a framework to assess households’ adaptation to AV operations. We developed

Improvements in mobile information and communication technologies (ICT) and the increasing presence of innovative shared mobility services such as car-sharing, bike-sharing and ride-sourcing have required transportation modelers to forecast and consider matching processes between agents. The transportation modeling community increasingly views these scenarios as two-sided markets, where mobility service

It is well-known that small states, because of their size, tend to be less endowed with natural resources than big ones. This makes small states vulnerable and raises the question if specific policies can be implemented to offset the drawbacks of their small size and to increase resilience. We address this question in this paper, thereby focusing on the role of connectivity – between states, organisations

Agent-based models for dynamic traffic assignment simulate the behaviour of individual, or group of, agents, and then the simulation outcomes are observed on the scale of the system. As large-scale simulations require substantial computational power and have long run times, most often a sample of the full population and downscaled road capacities are used as simulation inputs, and then the simulation

There are some examples where freight choices may be of a multiple discrete nature, especially the ones at more tactical levels of planning. Nevertheless, this has not been investigated in the literature, although several discrete-continuous models for mode/vehicle type and shipment size choice have been developed in freight transport. In this work, we propose that the decision of port and mode of

The paper describes the formation of a rural-urban network in which urban areas decide to form links with other urban as well as rural regions. Furthermore, we illustrate how the presence of network can induce agglomeration . Urban areas are mainly production centers of manufacturing goods, and the rural regions that of agriculture. Both regions need to form a network to trade with one another. Network

Recent studies proposed parking reservation schemes in a bi-modal transport network to manage parking competition and traffic congestion. This study proposes a new flexible parking reservation scheme, under which commuters’ reservation can expire and those arriving later than the reservation expiration time can retain his reservation by paying additional late-for-reservation fees. Time-varying late-for-reservation

Less-than-truckload (LTL) transportation offers fast, flexible and relatively low-cost transportation services to shippers. In order to cope with the effects of economic recessions, the LTL industry implemented ideas such as reducing excess capacity and increasing revenues through better yield management. In this paper, we extend these initiatives beyond the reach of individual carriers and propose

This paper analyses and compares transferability of freight production (FP) and freight trip production (FTP) models to provide guidance on when, when not, and how to transfer models from one spatial context to another. Separate sets of model parameters are estimated for various industry sectors in two regions within Kerala, a Southern State of India and are transferred to Jaipur, a Northern State

The development of the Internet has changed many traditional commercial models of enterprises. Therefore, the term Internet development is increasingly drawing attention from scholars. However, we are not certain whether the development of the Internet improves the problem of difficult financing of enterprises and enhances enterprise financing efficiency. This paper analyzes whether Internet development

This article proposes a systematic review of papers dealing with maritime traffic whose methodology is based on a Complex Network Analysis (CNA) approach. The papers selected have been categorised, reviewed and analysed, extracting the most important characteristics of each, namely sources of information, geographical scope and network modelling characteristics, and then grouped according to the specific

Discretely-constrained Nash-Cournot games have attracted attention as they arise in various competitive energy production settings in which players must make one or more discrete decisions. Gabriel et al. (Netw Spat Econ 13(3):307–326 2013) claim that the set of equilibria to a discretely-constrained Nash-Cournot game coincides with the set of solutions to a corresponding discretely-constrained mixed

Choice modeling is important in transportation planning, marketing and engineering design, as it can quantify the influence of product attributes and customer demographics on customers’ choice behaviors. Consumer studies suggest that customers’ choice-making process often consists of two different stages: customers first consider subsets of available products on the market, and then make the final

This work investigates the impacts of the 2012 Emilia-Romagna earthquake and looks at the capacity of the regional economic system to adapt to the shock generated by the seismic event. We contribute to the literature by distinguishing two different effects: direct (i.e. damages to production factors of the focal firm) and indirect effects (e.g. disruptions that affected industrial and business partners)

The recent development of advanced communication and data collection technologies enables a wide range of possibilities for systematic planning, operation, and control of urban rail transit systems in many megacities. While traditional methods consider tactical transit timetabling and operational circulation planning as two independent stages, this study aims to propose an optimization model and solution

In this paper, we present two new inertial projection-type methods for solving multivalued variational inequality problems in finite-dimensional spaces. We establish the convergence of the sequence generated by these methods when the multivalued mapping associated with the problem is only required to be locally bounded without any monotonicity assumption. Furthermore, the inertial techniques that we

Infrastructure networks such as power, communication, gas, water, and transportation rely on one another for their proper functioning. Such infrastructure networks are subject to diverse disruptive events, including random failures, malevolent attacks, and natural disasters, which could significantly affect their performance and adversely impact economic productivity. Moreover, the proliferation of

Understanding the preferences of households in their location decisions is key for residential demand forecast and urban policy making. Accounting for preference heterogeneity across agents is useful for the modelling process but not enough to completely describe location choice behavior. Due to place-specific conditions, the same agent may have different preferences depending on the sector of the

The European space-economy represents a complex system with a great internal heterogeneity, intensive socioeconomic interactions and differential growth trajectories among countries and regions. The present study aims to investigate the connectivity between spatial competitiveness and resilience in Europe and seeks to design an operational framework for concerted strategies of competitive and resilient

A resilient transport network, which is significant for urban sustainability and security, is characterized by its ability to recover from disruptions subject to natural and man-made disasters. Bike sharing could act as a viable alternative in the case of public transit disruptions given its flexibility and various social, environmental, and economic benefits. This study aims to estimate quantitatively

Motivated by the recent rise in need for refugee camps, we address one of the key infrastructural problems in the establishment process: The clean water network design problem. We formulate the problem as a biobjective integer programming problem and determine the locations of the water source, water distribution units and the overall network design (pipelines), considering the objectives of minimizing

This article studies a competitive freight transportation pricing problem in the presence of two Intermodal Service Providers (ISPs) and a Direct Transportation System (DTS). The ISPs apply both rail and road transportation modes to carry the demands of a network of customers. The DTS uses only roads to carry the demands, without any transhipment at a distribution center. Each customer chooses its

Runway systems are among the most stringent bottlenecks at global hub airports, which have been identified as a major source of airport inefficiency. Runway system inefficiencies are manifested in multiple dimensions such as delay, throughput reduction and excessive emission, whose tradeoffs are investigated in this paper as part of an airport runway scheduling problem in the presence of uncertainty

In vendor managed inventory (VMI) operations, it is necessary for both the suppliers and the customers to reach an agreement on the maximal and minimal inventory level. In practice, in VMI, inventory levels are decided manually by planning personnel, based on their experience and past operating records. From a system optimization point of view, the determination of the upper and lower inventory levels

Most have experienced the impact of vehicular accidents, whether it was in terms of increased commute time, delays in receiving goods, higher insurance premiums, elevated costs of services, or simply absorbing the daily tragedies on the evening news. While accidents are common, the complexity and dynamics of transportation systems can make it challenging to infer where and when incidents may occur

Through the consideration of a stochastic matching model dependent on a probability function built from the Heron’s formula, we analyze the emergence and the dynamics of short agrifood sale circuits in form of time-evolving random hypergraphs. These marketing circuits, which are used as a supportive policy for promoting local food consumption, typify short distribution channels. Although bipartite

Most transport models rely on a discrete description of space, and are, therefore, subject to spatial aggregation bias. Spatial aggregation induces the use of centroid connectors and the omission of intrazonal trips in traffic assignment. This practice is shown to bias main traffic assignment outcomes, especially in spatially coarse models. To address these modeling errors, the literature suggests

A well-planned electric transmission infrastructure is the foundation of a reliable and efficient power system, especially in the presence of large scale renewable generation. However, the current electricity market designs lack incentive mechanisms which can guarantee optimal transmission investments and ensure reliable integration of renewable generation such as wind. This paper first proposes a

This study aimed to investigate how land-use pattern affects crash frequency at traffic analysis zone (TAZ) level. Traffic, road network, land use, population and crash data were collected from Los Angeles County, California in 2014. K-means clustering analysis was first conducted to divide land use at each TAZ into five different patterns. Geographically weighted Poisson regression (GWPR) models were

Efficient railway transportation systems are very important for economic development of countries. Although extensive research has been conducted on railway efficiency in developed countries, however, such studies for developing economies in general and Pakistan is lacking. Here, we used data envelopment analysis (DEA) to evaluate the technical, pure technical and scale efficiencies of Pakistan railways

Optimizing stop plans of train lines greatly contributes to improving the quality of rail passenger service. Traditionally, stop plans are pre-specified according to the classification of stations in the line planning process. However, with the expansion of railway networks and the great changes of travel demand among different origin–destination pairs (ODs), it becomes more difficult to generate stops

This paper investigates the implementation of a dynamic reference point scheme to capture traveler’s mental characteristics, with their day-to-day route choice behavior and heterogeneity. The traveler’s heterogeneity focuses on their different risk attitudes. On each day, travelers choose the routes based on their estimated travel costs, which can be affected by the reference point structure and its

In this paper we propose a simple general framework for obtaining facility dependent distance decay function in competitive location models. As the distance increases, the decay in patronage by more attractive facilities is slower than the decay by less attractive facilities. This implies that by using only the distribution patterns of neighborhoods from which facility’s patrons originated, the facility

Day-to-day traffic assignment models provide a powerful tool to analyze the time evolution of traffic flow within transport networks. In day-to-day dynamics, most models assume that there are only private cars on traffic networks and travelers update their choices each day. However, there are mainly two traffic modes, i.e. cars and buses, and travelers may not change their mode choices frequently.

In this paper, we study the extent to which net neutrality, defined as price non-discrimination, is welfare improving in comparison to non-net-neutrality. We consider a two-sided congested internet service provider (ISP) that acts as a monopoly platform. The congestion is basically caused by the overuse of the fixed ISP’s bandwidth by content providers. Unlike end-users, we allow content providers

We aim to design an effective supply chain network for a blood distribution system to satisfy the needs of hospitals in a certain region. In the analyzed current system, each hospital keeps a certain level of inventory, received at certain time periods by the shipments from a main blood bank. We propose an alternative system, in which some of the hospitals are selected as local blood banks (LBB) and

Although traffic assignment models remain heavily utilized globally for the planning and evaluation of new transport infrastructure, commonly applied assignment approaches continue to make very restrictive assumptions regarding determinism and perfect system knowledge to achieve regional scalability. Strategic user equilibrium (StrUE) has been previously proposed as a computationally scalable network

We propose a real-time signal control framework based on a nonlinear decision rule (NDR), which defines a nonlinear mapping between network states and signal control parameters to actual signal controls based on prevailing traffic conditions, and such a mapping is optimized via off-line simulation. The NDR is instantiated with two neural networks: feedforward neural network (FFNN) and recurrent neural

Two bi-level models to reconstruct origin-destination (O-D) demand under congested network are explored in terms of the observed link and route travel times, where one model inputs the known trajectories of observed route travel times and the other model uses both known and unknown trajectories of observed route travel times. The proposed models leverage both the link and route traffic information

This paper presents a multi-objective network design problem with environmental considerations for urban networks with queues. A spatial queuing link model is introduced to take account of the spatial effect of queuing. With this more realistic link performance function capturing spatial queuing, the network equilibrium flow patterns can be more accurately identified. Furthermore, to better estimate

Residential location choice (RLC) predicts where and how people choose their residential location in the framework of land use–transport interaction models (LUTI). This paper seeks an efficient RLC model in the context of irregular zoning of location alternatives. The main current proposals in the field are discrete choice models. In RLC modeling, the alternatives are spatial units, and spatially correlated

Closed-loop production systems encompass all processes for returning, remanufacturing, recycling, discarding, and repackaging products. These elements form the core of sustainable manufacturing by managing what otherwise would be waste to enable reuse and by controlling its associated pollution. This paper presents the general management model of sustainable remanufacturing within a dynamic closed-loop

The multi-trip time-dependent vehicle routing problem with soft time windows and overtime constraints (MT-TDVRPSTW-OT) is considered in this paper. The modified hierarchical multi-objective formulation and the equivalent single-objective formulation are proposed. The iterative multi-trip tour construction and improvement (IMTTCI) procedure and the single-trip tour counterpart procedure with post-processing

Synchronizing last trains of Urban Rail Transit (URT) system is important for passenger transportation, especially for travelers from other modes, such as high-speed railway (HSR) trains in late night, to reach their destinations. This paper develops a bi-objective mixed-integer linear programming model for the problem of Last-Train Timetable Synchronization (LTTS) of URT system in late night hours

Transport infrastructure is an important determinant of agricultural productivity. Using various new spatial data, the paper measures different types of transport accessibility and estimates their impacts in Ethiopia. The paper takes advantage of a historical event that Ethiopia, a landlocked country, ceased freight rail operations connecting its capital and the main seaport in the late 2000s. Using

Estimation of origin-destination (OD) flows in transportation networks is a major step in transportation planning. We are interested in estimating OD flows given data on traffic link volumes over a sequence of days. We propose a dynamic hierarchical Bayesian model for the estimation of day-to-day OD flows. At the first level, we specify a dynamic Gaussian model which describes the evolution of OD flows

We develop and apply an expanded algorithm for measuring urban connectivity through the lens of the location strategies of producer services firms. Although our algorithm is broadly in the spirit of Taylor’s (Geographical Analysis 33(2):181–194, Taylor 2001) interlocking network model, we contend that it takes on board more of the information contained in the location decisions of producer services

In the past, implementing delivered pricing has been perceived as unrealistic because of practical difficulties in distinguishing between customers, determining an individual’s willingness to pay, and setting different prices to individuals. The rise of e-commerce has introduced the possibility of doing all three. Competitive location with delivered pricing was studied by Lederer and Hurter (1986)