Showing papers in "Netnomics in 2011"
TL;DR: In this article, the authors analyse the published planning figures and forecasts of demand and capacity of the currently constructed Berlin-Brandenburg International airport over a 20-year timeframe based on a computer simulation of an independent parallel runway in segregated mode.
Abstract: Airports are vital parts of traffic infrastructure and networks in global and dynamic economies securing inter- and transcontinental mobility of goods and people in spatially dislocated market structures. The operational capacity of an airport must be dimensioned under a long-term strategic view as its productivity is determined by available infrastructure. Often expansion projects for, e.g., an additional runway require a timeframe of up to twenty years for negotiation, planning and construction. The correction of existing or future bottlenecks will be increasingly difficult, partly due to public and political opposition and environmental awareness. From this point of view we critically examine the published planning figures and forecasts of demand and capacity of the currently constructed Berlin-Brandenburg International airport over a 20-year timeframe. Our methodology is based on a computer simulation of an independent parallel runway in segregated mode. Increasing traffic and changing traffic mix are simulated with the airport and airspace modeling tool SIMMOD, which provides the output data to calculate the capacity utilization and chosen level of service indicator minutes of average delay per flight. The simulation has shown that the practical capacity of 76 flights per hour is the maximum demand to be served under the defined assumptions. We discuss our findings and compare our results with other airports operating a similar runway layout.
59 citations
TL;DR: In this article, a spatial economic agent-based model (ABM) is proposed to simulate complex interactions of household and firm location choices in a multi-regional (multi-urban) setting to enable a more realistic representation of decisions related to commuting, migration and firm relocation.
Abstract: The paper describes a spatial economic agent-based model (ABM), consistent with the principles of new economic geography (NEG), which allows the discrete-time evolutionary simulation of complex interactions of household and firm location choices. In contrast with the current ABM approaches, it considers a multi-regional (multi-urban) setting to enable a more realistic representation of decisions related to commuting, migration and firm (re)location. The model allows simulating spatially differentiated, multi-commodity markets for land and labor in a system of cities and the behavior of profit-maximizing firms with multi-regional asset investment decisions, incorporating endogenous transport costs with congestion effects. It also accounts for the impact of agglomeration forces on industrial location choices and the formation of urban development patterns. The conceptual framework and main components of the spatial ABM are presented and several implementation issues are discussed with regard to possible case-specific applications and policy scenarios.
16 citations
TL;DR: In this article, an optimal configuration of the warehouse and of the RFID-based package management process is obtained by a non-linear optimization model that minimizes the overall technology and management costs.
Abstract: This paper deals with the re-engineering and design optimization of a warehouse for package storage operations occurring daily at a leading courier express company in Italy. The objective of our study is to quantify the return on investment and error reduction that can be achieved by the application of advanced tracking technologies in the package management process. This study considers the use of RFID tags to facilitate identifying items in a package delivery service facility. In a first phase, we analyze the current process and show the speed-up of the operators with barcode readers compared to the operations handbook. In a second phase, we introduce radio frequency identification (RFID) technologies in the warehouse and perform practical experiments in order to detect configurations with error-free item scanning. An optimal configuration of the warehouse and of the RFID-based package management process is obtained by a non-linear optimization model that minimizes the overall technology and management costs. The probability of item errors is modeled by a maximum likelihood estimation procedure that determines the scanning area of each antenna with minimal scanning error. The new process with RFID technology reduces the costs of daily operations in the studied warehouse up to 25% and the workload of the operators up to 4 h.
10 citations
TL;DR: The key finding is that unintentional adoption, alongside device acquisitions or operating system updates, adds a new dimension to the diffusion of innovations theory and may have a significant impact on protocol diffusion.
Abstract: During the last decade the Internet has faced an architectural stagna- tion due to lack of wide scale adoption of new communication protocols. A sig- nificant reason for non-adoption is that the conflicting interests of networked stakeholders involved in the diffusion process are not understood or taken into account during the protocol development. This paper increases understanding of the dynamics of communication protocol diffusion and provides feedback to protocol development by studying the case of Multipath TCP (MPTCP). Firstly, we introduce a protocol development process which builds on the ex- isting diffusion of innovation theories. Secondly, a quantitative analysis using system dynamics is provided to evaluate the criticality of the factors affecting the MPTCP diffusion. The diffusion of communication protocols is found to follow three adoption models differentiated by the basis of adoption decision. The key finding is that unintentional adoption, alongside device acquisitions or operating system updates, adds a new dimension to the diffusion of innovations theory and may have a significant impact on protocol diffusion. The cross- side network effects between different adopter groups play also an important role and may lead to either market pull or technology push type of diffusion depending on which stakeholder starts to adopt first. Although MPTCP is used
9 citations
TL;DR: In this paper, a model to depict the extent of consumer reaction to changes in Internet pricing is developed, and an explicit function is derived to relate the fractional change in V and the price elasticity of demand (E) specific to differentially classifiable services on Quality of Service (QoS) (DiffServ)-centric Internet architecture.
Abstract: Based on complex system considerations, a technoeconomic model to depict the extent of consumer reaction (in terms of consumer surplus, V) to changes in Internet pricing is developed. Relevant research pursuit tracks analytically, the nonlinear evolution of the functional relation in question with various stochastic (and/or deterministic) technoeconomic parameters that interactively decide the underlying complexity. Hence, an explicit function is derived to relate the fractional change in V and the price elasticity of demand (E) specific to differentially classifiable services on Quality of Service (QoS) (DiffServ)-centric Internet architecture. The model is applied to dynamic-, smart- and static-market pricing schemes. Results are discussed with respect to some model simulations.
7 citations
TL;DR: In this paper, the authors investigate pricing issues in class-based networks and present rules for allocating network resources to each class, and the corresponding payoff for each class is driven by the Shapley value of the associated cooperative game.
Abstract: This paper investigates pricing issues in class-based networks. Classes of packets having lower impatience and longer average delay receive monetary compensations. The inter-class price differential is determined by the inter-class compensations. The paper also presents rules for allocating network resource to each class. The corresponding payoff (disutility share) for each class is driven by the Shapley Value of the associated cooperative game.
4 citations
TL;DR: The constraints of these large deployments were searched, listed and analyzed using the grounded analysis of a case study in India, finding that the cost of deployment is directly proportional to TILT.
Abstract: The telecommunications industry has reached a phase of evolution where mobile communication networks are deployed in the growth market countries. New deployments are performed on an unforeseen scale involving installation of hundreds of base stations a day. The sheer volume of deployments in countries with less mature public infrastructure creates new operational challenges. One large issue at the start of the study was lengthy telecommunication implementation lead time (TILT). The cost of deployment is directly proportional to TILT. In this paper, the constraints of these large deployments were searched, listed and analyzed using the grounded analysis of a case study in India.
4 citations
TL;DR: In this article, the authors investigate how enforcement of regulation affects the size of the irregular sector, firm performance and the exit rate to the market, and three kinds of enforcement policy are tested in the model: control, punish and legitimacy.
Abstract: This paper investigates how enforcement of regulation affects the size of the irregular sector, firm performance and the exit rate to the market. Three kinds of enforcement policy will be tested in the model: control, punish and legitimacy. The first policy is based on the number of inspectors present in the economy; the second is defined by the magnitude of punishment; the third is measured by social legitimacy. Results show the negligible influence of control to fight irregularity; the strong effect of punishment on the irregular sector and on the exit rate; the good effect of legitimacy policy in promoting regularity but low output performance.
3 citations
TL;DR: This paper presents an attempt to weight the variable assignments through supervised learning in subproblems of the Euclidean Traveling Salesman Problem to validate the effectiveness of the approach, especially when it is applied to industrial problems.
Abstract: Many search algorithms have been successfully employed in combinatorial optimization in logistics practice. This paper presents an attempt to weight the variable assignments through supervised learning in subproblems. Heuristic and exact search methods can therefore test promising solutions first. The Euclidean Traveling Salesman Problem (ETSP) is employed as an example to demonstrate the presented method. Analysis shows that the rules can be approximately learned from the training samples from the subproblems and the near optimal tours. Experimental results on large-scale local search tests and small-scale branch-and-bound tests validate the effectiveness of the approach, especially when it is applied to industrial problems.
2 citations
TL;DR: This work identifies the requirements to capture the value of information networks and indicates a possible theoretical ground to account for it, and proposes a framework operationalized with data from Eurostat that provides significant conceptual added-value and allows for traditional measures of economic value as well as for other measures of value.
Abstract: The worldwide extraordinary level of interest in digital information networks' deployment among nations is due to the strong perception that they bring economic, social and environmental value. Our literature review on studies aiming at clarifying the value of information networks, led us to conclude that these studies take speculative, elusive or limited conclusions. We identify the requirements to capture the value of information networks and indicate a possible theoretical ground to account for it. Based upon this, we propose a framework operationalized with data from Eurostat. Furthermore, we identify the added-value of our framework with a precise and comprehensive comparison with two state of the art reference frameworks. We demonstrate that our framework provides significant conceptual added-value and, more fundamentally, allows for traditional measures of economic value (e.g. productivity and growth), as well as for other measures of value (e.g. social and environmental). Finally, we demonstrate with examples the wider application range of our framework in comparison with existing work.