scholarly journals Assessing Overnight Parking Infrastructure Policies for Commercial Vehicles in Cities Using Agent-Based Simulation

2020 ◽  
Vol 12 (7) ◽  
pp. 2673 ◽  
Author(s):  
Raja Gopalakrishnan ◽  
André Romano Alho ◽  
Takanori Sakai ◽  
Yusuke Hara ◽  
Lynette Cheah ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Choice Model ◽  
Critical Element ◽  
Heavy Vehicles ◽  
Negative Externalities ◽  
Commercial Vehicles ◽  
Agent Based ◽  
Urban Freight ◽  
Urban Freight Transport

Urban freight transport is primarily fulfilled by commercial road vehicles. Within cities, overnight parking is a critical element influencing commercial vehicle operations, particularly for heavy vehicles with limited parking options. Providing adequate overnight parking spaces for commercial vehicles tends to be a challenge for urban planners. Inadequate parking supply can result in illegal parking and additional vehicle kilometers traveled, contributing to traffic congestion and air pollution. The lack of tools for evaluating the impacts of changing parking supply is an impediment in developing parking-related solutions that aim to minimize the negative externalities. In this study, we develop an overnight parking choice model for heavy commercial vehicles and integrate it with SimMobility, an agent-based urban simulation platform, demonstrating the potential of this tool for policy evaluation. Using simulations applied to a case study in Singapore, we compare two parking supply scenarios in terms of vehicle kilometers traveled due to changes in the first and last trips of vehicle tours, as well as resulting impacts in traffic flows.

scholarly journals Sharing of trips before electrification of fleet: a costeffective solution for reducing the environmental impact of urban freight transport in developing countries

2020 ◽  
Vol 79 (ET.2020) ◽  
pp. 1-15
Author(s):  
Bhavesh Dhonde
Keyword(s):  
Developing Countries ◽  
Environmental Impact ◽  
Freight Transport ◽  
Vehicular Emissions ◽  
Effective Solution ◽  
Commercial Vehicles ◽  
Urban Freight ◽  
Urban Freight Transport ◽  
Freight Vehicles

Various research efforts are undertaken to reduce the ill-effects of urban freight transport on the city’s environment. Replacing conventional freight vehicles with electric commercial vehicles (ECVs) is considered as the most effective solution; however, this transition is facing several technological and infrastructural challenges. In developing countries, where cities are already struggling to manage with their present infrastructure, they would find it even more difficult. This paper highlights the opportunity for sharing of in-use freight vehicles as an immediate solution to reduce vehicular emissions. Case study of Surat city, India is taken to assess the use of small-sized commercial vehicles for urban freight transport. A detailed study has been carried out to determine the extent of under-utilized or unutilized capacities of these vehicles. Reductions in emissions due to the sharing of trips are estimated. Propositions are made to strategize and develop policies that promote sharing of urban freight trips.

Evaluating Urban Logistics Schemes Using Agent-based Simulation

2020 ◽  
Vol 54 (3) ◽  
pp. 651-675 ◽  
Author(s):  
W. J. A. van Heeswijk ◽  
M. R. K. Mes ◽  
J. M. J. Schutten ◽  
W. H. M. Zijm
Keyword(s):  
Supply Chains ◽  
Urban Areas ◽  
Mathematical Representation ◽  
Extensive Literature ◽  
Literature Study ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Urban Freight ◽  
Urban Freight Transport ◽  
Urban Consolidation

The domain of urban freight transport is becoming increasingly complex. Many urban supply chains are composed of small and independent actors that cannot efficiently organize their highly fragmented supply chains, thereby negatively affecting the quality of life in urban areas. Both companies and local administrators try to improve transport efficiency and reduce external costs, but the effects of such interventions are difficult to predict, especially when applied in combination with each other (an urban logistics scheme). This paper presents an agent-based simulation model to quantify the effects of urban logistics schemes on multiple actors. We provide a detailed mathematical representation in the form of a Markov decision process. Based on an extensive literature study, we aggregate data to represent various actors in typical Western European cities. We perform numerical experiments to obtain insights into urban logistics schemes. The results show that most schemes yield significant environmental improvements but that achieving long-term financial viability is challenging for urban consolidation centers in particular. We also demonstrate that interventions, such as subsidies and access restrictions, do not always yield the intended effect. In a backcasting experiment, we identify conditions and schemes to achieve a financially viable urban consolidation center.

Measuring environmental performance of urban freight transport systems: A case study

2020 ◽  
Vol 52 ◽  
pp. 101844 ◽  
Author(s):  
Andrés Muñoz-Villamizar ◽  
Javier Santos ◽  
Jairo R. Montoya-Torres ◽  
Josué C. Velázquez-Martínez
Keyword(s):  
Environmental Performance ◽  
Freight Transport ◽  
Transport Systems ◽  
Urban Freight ◽  
Urban Freight Transport

scholarly journals Predicting Commercial Vehicle Parking Duration using Generative Adversarial Multiple Imputation Networks

2020 ◽  
Vol 2674 (9) ◽  
pp. 820-831
Author(s):  
Raymond Low ◽  
Zeynep Duygu Tekler ◽  
Lynette Cheah
Keyword(s):  
Regression Model ◽  
Multiple Imputation ◽  
Traffic Congestion ◽  
Dwell Time ◽  
Complex Nature ◽  
Negative Externalities ◽  
Commercial Vehicles ◽  
Goods Movement ◽  
Lack Of Information ◽  
Urban Goods Movement

As the world rapidly urbanizes in pace with economic growth, the rising demand for products and services in cities is putting a strain on the existing road infrastructure, leading to traffic congestion and other negative externalities. To mitigate the impacts of freight movement within commercial areas, city planners have begun focusing their attention on the parking behaviors of commercial vehicles. Unfortunately, there is a general lack of information on such activities because of the heterogeneity of practices and the complex nature of urban goods movement. Furthermore, field surveys and observations of truck parking behavior are often faced with significant challenges, resulting in the collection of sparse and incomplete data. The objective of this study is to develop a regression model to predict the parking duration of commercial vehicles at the loading bays of retail malls and identify significant factors that contribute to this dwell time. The dataset used in this study originates from a truck parking and observation survey conducted at the loading bays of nine retail malls in Singapore, containing information about the trucks’ and drivers’ activities. However, because of the presence of incomplete fields found in the dataset, the authors propose the use of a generative adversarial multiple imputation networks algorithm to impute the incomplete fields before developing the regression model using the imputed dataset. Through the parking duration model, the activity type, parking location, and volume of goods delivered (or picked up) were identified as significant features influencing vehicle dwell time, corroborating with findings in the literature.

scholarly journals Challenges to urban freight transport in historical cities: a case study for Sabará (Brazil)

2019 ◽  
Vol 39 ◽  
pp. 370-380 ◽  
Author(s):  
Leise Kelli de Oliveira ◽  
Artur Diniz Rocha Macedo ◽  
Júlio Cesar Lobo Sampaio ◽  
Tiago de Paula Mendes de Oliveira ◽  
Renata Lúcia Magalhães de Oliveira ◽  
...  
Keyword(s):  
Freight Transport ◽  
Urban Freight ◽  
Urban Freight Transport

scholarly journals A Policy-Sensitive Model of Parking Choice for Commercial Vehicles in Urban Areas

2020 ◽  
Vol 54 (3) ◽  
pp. 606-630 ◽  
Author(s):  
Giacomo Dalla Chiara ◽  
Lynette Cheah ◽  
Carlos Lima Azevedo ◽  
Moshe E. Ben-Akiva
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Commercial Vehicle ◽  
Choice Model ◽  
Discrete Event ◽  
Real Data ◽  
Behavior Modeling ◽  
Model Parameters ◽  
Commercial Vehicles ◽  
Real World Data

Understanding factors that drive the parking choice of commercial vehicles at delivery stops in cities can enhance logistics operations and the management of freight parking infrastructure, mitigate illegal parking, and ultimately reduce traffic congestion. In this paper, we focus on this decision-making process at large urban freight traffic generators, such as retail malls and transit terminals, that attract a large share of urban commercial vehicle traffic. Existing literature on parking behavior modeling has focused on passenger vehicles. This paper presents a discrete choice model for commercial vehicle parking choice in urban areas. The model parameters were estimated by using detailed, real-world data on commercial vehicle parking choices collected in two commercial urban areas in Singapore. The model analyzes the effect of several variables on the parking behavior of commercial vehicle drivers, including the presence of congestion and queueing, attitudes toward illegal parking, and pricing (parking fees). The model was validated against real data and applied within a discrete-event simulation to test the economic and environmental impacts of several parking measures, including pricing strategies and parking enforcement.

scholarly journals Influence of Characteristics of Metropolitan Areas on the Logistics Sprawl: A Case Study for Metropolitan Areas of the State of Paraná (Brazil)

2020 ◽  
Vol 12 (22) ◽  
pp. 9779
Author(s):  
Luísa Tavares Muzzi de Sousa ◽  
Leise Kelli de Oliveira
Keyword(s):  
Metropolitan Area ◽  
Metropolitan Areas ◽  
Negative Relationship ◽  
Freight Transport ◽  
The State ◽  
Urban Freight ◽  
Time Period ◽  
Urban Freight Transport ◽  
Data Collection Procedure

The concentration of warehouses in peripheral regions of metropolitan areas in a time period is called logistics sprawl (LS). Identifying this phenomenon could help to reduce externalities related to urban freight transport, mainly, the distance traveled. This paper examines the contribution of the characteristics of metropolitan areas on the logistics sprawl indicator. A case study was carried out considering data from eight metropolitan areas of the state of Paraná (Brazil). The research method is based on the data collection procedure proposed, centrographic method, and linear regression. The results of the centrographic method reveal a positive LS in four metropolitan areas and a negative LS in three metropolitan areas. In general, the warehouses are close to the highways that cross the metropolitan area. In addition, the size of the metropolitan area has a negative relationship with the number of warehouses and the logistics sprawl indicator. The findings highlight the importance of public policies relating to urban freight transport and land use at a metropolitan level.

An agent-based choice model for travel mode and departure time and its case study in Beijing

2016 ◽  
Vol 64 ◽  
pp. 133-147 ◽  
Author(s):  
Mingqiao Zou ◽  
Meng Li ◽  
Xi Lin ◽  
Chenfeng Xiong ◽  
Chao Mao ◽  
...  
Keyword(s):  
Choice Model ◽  
Travel Mode ◽  
Agent Based ◽  
Departure Time
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