Estimating the Impacts of Retailing Land-Use Scenarios on Shopping Trip Structure

This chapter proposes a decision support system, STG-Sim, that estimates the number of shopping trip chains as well as the related distances to assess the impacts of the retailing structure on the final part of goods transport chains: that of bringing purchased goods to the end-consumer's location. First, the methodological framework of the shopping trip chain estimation is proposed. It includes a generation model (for both motorized and pedestrian trips), a catchment area distribution model (to relate the shopping locations to the household's ones), and a distance estimation procedure. An application to the deployment of four retailing poles (two new ones and two extension ones) in Lyon, France, is also presented. Finally, practical implications and further developments are presented.

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 154
Author(s):  
Dionysios Nikolopoulos ◽  
Panagiotis Kossieris ◽  
Ioannis Tsoukalas ◽  
Christos Makropoulos

Optimizing the design and operation of an Urban Water System (UWS) faces significant challenges over its lifespan to account for the uncertainties of important stressors that arise from population growth rates, climate change factors, or shifting demand patterns. The analysis of a UWS’s performance across interdependent subsystems benefits from a multi-model approach where different designs are tested against a variety of metrics and in different times scales for each subsystem. In this work, we present a stress-testing framework for UWSs that assesses the system’s resilience, i.e., the degree to which a UWS continues to perform under progressively increasing disturbance (deviation from normal operating conditions). The framework is underpinned by a modeling chain that covers the entire water cycle, in a source-to-tap manner, coupling a water resources management model, a hydraulic water distribution model, and a water demand generation model. An additional stochastic simulation module enables the representation and modeling of uncertainty throughout the water cycle. We demonstrate the framework by “stress-testing” a synthetic UWS case study with an ensemble of scenarios whose parameters are stochastically changing within the UWS simulation timeframe and quantify the uncertainty in the estimation of the system’s resilience.


2002 ◽  
pp. 66-112
Author(s):  
Dolores Cuadra ◽  
Carlos Nieto ◽  
Paloma Martinez ◽  
Elena Castro ◽  
Manuel Velasco

This chapter is devoted to the study of the transformation of conceptual into logical schemata in a methodological framework focusing on a special ER construct: the relationship and its associated cardinality constraints. The section entitled “EER Model Revised: relationships and cardinality constraint” reviews the relationship and cardinality constraint constructs through different methodological approaches to establish the cardinality constraint definition that will be followed in next sections. The section “Transformation of EER Schemata into Relational Schemata” is related to the transformation of conceptual n-ary relationships (n³2) into the relational model following an active rules approach. Finally, several practical implications as well as future research paths are presented.


Author(s):  
Simon R. Reese

Purpose – The purpose of this paper is to illustrate how a manufacturer improved the interaction within the channel to facilitate a system of learning between three subsequent customer levels. Design/methodology/approach – The paper provides an example of how a manufacturer designed steps to change the traditional interactions between the customer levels and place themselves in the middle of a knowledge-sharing environment. Findings – To best ensure consistency in knowledge sharing across the multiple levels, the learning and development (L&D) practitioner should examine the interactions and identify the unique benefits to encourage all members to freely engage in the learning system. Practical implications – Managing the learning system allows the manufacturer to manage knowledge sharing and reinforce a consistent message. Originality/value – The paper offers the steps undertaken and the benefits resulting from the improved interactions. The example provides the L&D professionals areas into which they can expand traditional learning environments.


1990 ◽  
Vol 2 (3) ◽  
pp. 183-191
Author(s):  
Mark A. Guadagnoli ◽  
Gene W. Fober ◽  
Pamela M. Terry

2020 ◽  
Vol 10 (6) ◽  
pp. 103
Author(s):  
Victor Petrenko ◽  
Olga Mitina ◽  
Marina Papovyan

The present study aimed to determine the composition of factors that underlie the images of foreign and domestic political leaders among Russian youth and therefore play a major role in shaping social representations. The research was conducted within the theoretical and methodological framework of the psychosemantic approach, which seeks to reconstruct systems of meanings, both individual and collective, through the investigation of implicit as well as explicit categories of perception. The study comprised two stages, in which participants were administered a psychosemantic questionnaire to evaluate political leaders according to some professional and personal characteristics. The first part was conducted in 2015–2016 with a student sample (n = 147) using a set of political leaders from various countries. In the second part, carried out in 2017–2018, the participants (n = 200) also filled out a questionnaire, this time evaluating modern Russian leaders. A principal component analysis was performed on each of the data sets, revealing that two categories—namely, morality and professional characteristics—are present in both factor structures, whereas other factors are different. Several important theoretical and practical implications are discussed.


2021 ◽  
Author(s):  
Dionysios Nikolopoulos ◽  
Panagiotis Kossieris ◽  
Christos Makropoulos

<p>Urban water systems are designed with the goal of delivering their service for several decades.  The infrastructure will inevitably face long-term uncertainty in a multitude of parameters from the hydroclimatic and socioeconomic realms (e.g., climate change, limited supply of water in terms quantity and acceptable quality, population growth, shifting demand patterns, industrialization), as well as from the conceptual realm of the decision maker (e.g., changes in policy, system maintenance incentives, investment rate, expansion plans). Because urban water systems are overly complex, a holistic analysis involves the use of various models that individually pertain to a smaller sub-system and a variety of metrics to assess performance, whereas the analysis is accomplished at different temporal and spatial scales for each sub-system. In this work, we integrate a water resources management model with a water distribution model and a water demand generation model at smaller (household and district) scale, allowing us to simulate urban water systems “from source to tap”, covering the entire water cycle. We also couple a stochastic simulation module that supports the representation of uncertainty throughout the water cycle. The performance of the integrated system under long term uncertainty is assessed with the novel measure of system’s resilience i.e. the degree to which a water system continues to perform under progressively increasing disturbance. This evaluation is essentially a framework of systematic stress-testing, where the disturbance is described via stochastically changing parameters in an ensemble of scenarios that represent future world views. The framework is showcased through a synthesized case study of a medium-sized urban water system.</p><p><strong>Acknowledgement</strong></p><p>This research is carried out / funded in the context of the project “A resilience assessment framework for water supply infrastructure under long-term uncertainty: A Source-to-Tap methodology integrating state of the art computational tools” (MIS 5049174) under the call for proposals “Researchers' support with an emphasis on young researchers- 2nd Cycle”. The project is co-financed by Greece and the European Union (European Social Fund- ESF) by the Operational Programme Human Resources Development, Education and Lifelong Learning 2014-2020.”</p>


2012 ◽  
Vol 8 (S289) ◽  
pp. 227-230
Author(s):  
E. F. Milone ◽  
S. J. Schiller

AbstractWe alert the community to a paradigm method to calibrate a range of standard candles by means of well-calibrated photometry of eclipsing binaries in star clusters. In particular, we re-examine systems studied as part of our Binaries-in-Clusters program, and previously analyzed with earlier versions of the Wilson–Devinney light-curve modeling program. We make use of the 2010 version of this program, which incorporates a procedure to estimate the distance to an eclipsing system directly, as a system parameter, and is thus dependent on the data and analysis model alone. As such, the derived distance is accorded a standard error, independent of any additional assumptions or approximations that such analyses conventionally require.


2020 ◽  
Author(s):  
Chen Kuan Ling ◽  
Chang Hsueh Sheng ◽  
Cheng Hao Teng

<p>In recent years, the risk of flooding disasters caused by climate change has increased, and a new concept of runoff sharing has been proposed in China. It is an operation method based on the area of ​​the catchment from the perspective of water conservancy. However, the basin area is also a spatial unit of human economic activity. Social and economic development and the distribution of runoff responsibilities clearly show a mutual measurement relationship, and the land has a certain social responsibility to handle its own runoff. How can it be distributed fairly and efficiently? The issue of responsibility for runoff sharing has become an important issue for joint initiatives in the field of soil and water. </p><p> </p><p>In the case of considering the watershed as a spatial scope, in addition to considering its own hydrological properties, there are also socioeconomic development issues that should be clarified and discussed step by step. Therefore, this study attempts to use the three-stage data envelopment analysis (DEA) method to consider hydrology The concept of interaction with the socio-economic environment takes into account the impact of exogenous factors on the allocation of runoff responsibility, and evaluates the efficiency of runoff responsibility. In view of this, from the standpoint of the government and residents sharing the runoff, this study effectively combines the different types of data of the social, economic, and ecological environments in the catchment areas to carry out a comprehensive assessment, and weighs out the optimal distribution efficiency of the overall river basin. </p><p> </p><p>This study is divided into three parts to clarify the distribution of runoff responsibilities, which are divided into: (1) Establishing an assessment framework for the distribution of river basin runoff responsibilities: Based on the analysis of the spatial unit of the catchment area, an attempt is made to integrate different regional development conditions, which can be summarized Appropriate and appropriate distribution methods; (2) Weighing the fairness and efficiency of the distribution of runoff responsibilities in the spatial unit of the watershed: Point out the current runoff responsibility distribution model and characteristics of the catchment area; (3) Attempt to develop the principles for the use of land use planning, Apply the concept of runoff responsibility to land use planning. </p><p> </p><p>Based on the results of this study, a more fair way to distribute runoff responsibilities is proposed, and a new perspective on social natural equality from the river basin scale is clarified. The key factors that affect the distribution of runoff responsibilities are clear. Efficiently undertake total runoff and provide policy planning advice. Try to discuss the issue of runoff responsibility allocation from the field of urban planning, provide river basin runoff responsibility with a planning vision, strengthen the spatial thinking of water and soil dialogue, and look forward to providing a new model of river basin governance in extreme climates. </p>


2015 ◽  
Vol 19 (4) ◽  
pp. 1-18 ◽  
Author(s):  
S. Muchuru ◽  
C. M. Botai ◽  
J. O. Botai ◽  
A. M. Adeola

Abstract In this paper, monthly, maximum seasonal, and maximum annual hydrometeorological (i.e., evaporation, lake water levels, and rainfall) data series from the Kariba catchment area of the Zambezi River basin, Zimbabwe, have been analyzed in order to determine appropriate probability distribution models of the underlying climatology from which the data were generated. In total, 16 probability distributions were considered and the Kolmogorov–Sminorv (KS), Anderson–Darling (AD), and chi-square (χ2) goodness-of-fit (GoF) tests were used to evaluate the best-fit probability distribution model for each hydrometeorological data series. A ranking metric that uses the test statistic from the three GoF tests was formulated and used to select the most appropriate probability distribution model capable of reproducing the statistics of the hydrometeorological data series. Results showed that, for each hydrometeorological data series, the best-fit probability distribution models were different for the different time scales, corroborating those reported in the literature. The evaporation data series was best fit by the Pearson system, the Lake Kariba water levels series was best fit by the Weibull family of probability distributions, and the rainfall series was best fit by the Weibull and the generalized Pareto probability distributions. This contribution has potential applications in such areas as simulation of precipitation concentration and distribution and water resources management, particularly in the Kariba catchment area and the larger Zambezi River basin, which is characterized by (i) nonuniform distribution of a network of hydrometeorological stations, (ii) significant data gaps in the existing observations, and (iii) apparent inherent impacts caused by climatic extreme events and their corresponding variability.


Author(s):  
Serge P. Hoogendoorn ◽  
Piet H. L. Bovy

Recently, a new statistical procedure was developed that enables fast, accurate, and robust estimation of composite headway distributions, such as Branston’s generalized queueing model (GQM). Until now, the new procedure had only been applied to aggregate vehicular flow. In this paper, the estimation procedure is extended to headway observations segregated according to vehicle type and period of the day. Consequently, the parameters of a new mixed-vehicle-type headway distribution model based on Branston’s headway model can be estimated. Distinction of vehicle type and sample periods provides additional insight into the plausibility of the headway distributions and parameter values, as well as into the car-following behavior of the distinct vehicle classes varying across the different periods. The estimation procedure was applied to traffic data collected on a two-lane rural road in the Netherlands. Comparison of the estimated headway distributions with real-life data shows that headway distributions can be realistically replicated with the Pearson-III-based mixed-vehicle-type GQM. Inter-pretable differences between the morning, noon, and evening sample periods and between passenger cars, unarticulated trucks, and articulated trucks are found. In addition, passenger-car equivalents for both articulated trucks and unarticulated trucks were determined from the parameter estimates.


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