Framework for the Analysis of Grocery Teleshopping

2000 ◽  
Vol 1725 (1) ◽  
pp. 1-8 ◽  
Author(s):  
John T. Marker ◽  
Konstadinos Goulias
Keyword(s):  
Transportation Network ◽  
Transportation Systems ◽  
Household Behavior ◽  
Grocery Shopping ◽  
Commercial Development ◽  
Chain Management ◽  
Systems Planning ◽  
Shopping Trips ◽  
Activity Behavior ◽  
Potential Impact

Household replenishment and consumer direct—two closely related and developing forms of teleshopping that are emerging as strategies within the broader realm of supply chain management—could have an impact on behavior related to grocery shopping trips, as well as on commercial development. In concept, household replenishment and consumer direct are the businesses of delivering groceries to households through various means. These grocery delivery systems have the potential to change household activity behavior, which could result in numerous changes throughout the transportation network. An examination of the relevant issues surrounding implementation of household replenishment and consumer direct, and an analysis of their potential impact on transportation systems planning, are provided. A conceptual framework for modeling changes in business and household behavior is also offered.

Software Agent-Based Simulation for Pan-European Transport Corridor Management in Supply Chain

2021 ◽  
pp. 325-339
Author(s):  
Kamalendu Pal
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Business Processes ◽  
Transportation Network ◽  
Business Environment ◽  
Transportation Systems ◽  
Software Agent ◽  
Chain Management ◽  
Agent Based ◽  
Transportation Corridor

Software agent-based computing is emerging as an essential technology for developing commercial distributed systems to deal with the uncertainty in a dynamic business environment. Supply chain management (SCM) systems help to manage industry-specific business processes, services, and information flow among the stakeholders. Transportation network design and development is an essential part of effective supply chain management. The transport networks use different travel corridors for regular operations. The global supply chain transport corridors include various infrastructural components (e.g., border clearance authority, package handling machinery, weighbridge). The traffic and transportation systems domain are well suited for an agent-based approach because transportation systems are usually geographically distributed in a dynamic changing environment. This chapter describes a multi-agent software system to model and simulate transportation corridor use cases. The experimental simulation results provide potential guidance.

Joint-Choice Model for Destination and Travel Mode for Non-Grocery Shopping Trips

1983 ◽  
Vol 18 (0) ◽  
pp. 469-474
Author(s):  
Shoji Matsumoto ◽  
Seiichi Kumakura ◽  
Katsuaki Matsuoka
Keyword(s):  
Choice Model ◽  
Grocery Shopping ◽  
Travel Mode ◽  
Shopping Trips

scholarly journals Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2229 ◽  
Author(s):  
Sen Zhang ◽  
Yong Yao ◽  
Jie Hu ◽  
Yong Zhao ◽  
Shaobo Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Intelligent Transportation Systems ◽  
Traffic Congestion ◽  
Large Scale ◽  
Transportation Networks ◽  
Transportation Network ◽  
Transportation Systems ◽  
Neural Network Models ◽  
Computation Efficiency ◽  
Congestion Prediction

Traffic congestion prediction is critical for implementing intelligent transportation systems for improving the efficiency and capacity of transportation networks. However, despite its importance, traffic congestion prediction is severely less investigated compared to traffic flow prediction, which is partially due to the severe lack of large-scale high-quality traffic congestion data and advanced algorithms. This paper proposes an accessible and general workflow to acquire large-scale traffic congestion data and to create traffic congestion datasets based on image analysis. With this workflow we create a dataset named Seattle Area Traffic Congestion Status (SATCS) based on traffic congestion map snapshots from a publicly available online traffic service provider Washington State Department of Transportation. We then propose a deep autoencoder-based neural network model with symmetrical layers for the encoder and the decoder to learn temporal correlations of a transportation network and predicting traffic congestion. Our experimental results on the SATCS dataset show that the proposed DCPN model can efficiently and effectively learn temporal relationships of congestion levels of the transportation network for traffic congestion forecasting. Our method outperforms two other state-of-the-art neural network models in prediction performance, generalization capability, and computation efficiency.

Effect of Taxi Information System on Efficiency and Quality of Taxi Services

2005 ◽  
Vol 1903 (1) ◽  
pp. 96-104 ◽  
Author(s):  
Hyunmyung Kim ◽  
Jun-Seok Oh ◽  
R. Jayakrishnan
Keyword(s):  
Information System ◽  
Urban Areas ◽  
Transportation Network ◽  
Public Support ◽  
Transportation Systems ◽  
Fleet Size ◽  
Taxi Drivers ◽  
Taxi Service ◽  
Expected Waiting Time

In many major metropolitan areas, taxi services have played an important role as a semipublic transportation mode without public support. However, there has not been much modeling effort–-despite the importance of taxis in urban transportation systems–-mainly because of the difficulty in modeling taxi drivers’ behavior. This study models a taxi service system in urban areas, taking into account taxi drivers’ knowledge of the transportation network built from their day-to-day experience. Passenger-seeking behavior by taxi drivers is modeled on the basis of their expected travel time and expected waiting time. The model considers the stochastic and dynamic transportation network and various levels of network knowledge on the part of drivers. This modeling approach provides flexibility in modeling the characteristics of taxi operation as well as understanding how taxi drivers’ capability evolves. The study analyzes the fleet size of taxi service systems and the effects of the taxi company's information systems by considering quality and operational efficiency of taxi services, from both the passengers’ and taxi operators’ points of view. A simulation experiment shows that the taxi information system can provide benefits equivalent to increasing the number of taxis by 20% in regard to the quality of taxi service.

scholarly journals Grocery Delivery or Customer Pickup - Influences on Energy Consumption and CO2 Emissions in Munich

2018 ◽  
Author(s):  
Lukas Hardi ◽  
Ulrich Wagner
Keyword(s):  
Internal Combustion Engine ◽  
Co2 Emissions ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Grocery Shopping ◽  
Wide Range ◽  
City District ◽  
Shopping Trips ◽  
Delivery Vehicles ◽  
Save Energy

TThe number of supermarkets offering a grocery delivery has been increasing during the last years. Many studies deduce CO2 emission savings using this concept. Since the delivery of groceries also consumes energy and produces emissions, break-even points can be calculated, from where the delivery has environmental advantages compared to the customer pickup. In this paper, influences of differing vehicle use on break-even points for savings of energy and CO2 emissions are analyzed for the case of Haidhausen Süd, a city district of Munich in Germany. Internal combustion engine and electric vehicles are investigated to depict current as well as future trends. After an introduction to the used methodology, the potential to save energy and CO2 emissions related to the delivery of groceries in the chosen district of Munich is evaluated. Afterwards, influences on the break even points are presented and discussed. As the results show, a delivery of groceries leads to energy and carbon dioxide savings in a wide range of private vehicle use for grocery shopping trips. Nevertheless, if the complete customer vehicle fleet is electrified, the use of delivery vehicles with an internal combustion engine can cause an additional environmental impact at the current modal split for shopping trips in Germany.

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