scholarly journals What Makes a Good Cargo Bike Route? Perspectives from Users and Planners

2020 ◽  
Vol 79 (3) ◽  
pp. 941-965
Author(s):  
George Liu ◽  
Samuel Nello‐Deakin ◽  
Marco te Brömmelstroet ◽  
Yuki Yamamoto
Keyword(s):  
Cargo Bike

Localization of Relevant Urban Micro-Consolidation Centers for Last-Mile Cargo Bike Delivery Based on Real Demand Data and City Characteristics

2021 ◽  
pp. 036119812110363
Author(s):  
Christian Rudolph ◽  
Alexis Nsamzinshuti ◽  
Samuel Bonsu ◽  
Alassane Ballé Ndiaye ◽  
Nicolas Rigo
Keyword(s):  
Land Use ◽  
City Center ◽  
Analytical Hierarchical Process ◽  
Logistics Service ◽  
Last Mile ◽  
Logistics Service Provider ◽  
Cargo Bike ◽  
The City ◽  
Weight Allocation ◽  
Use Category

The use of cargo cycles for last-mile parcel distribution requires urban micro-consolidation centers (UMC). We develop an approach to localize suitable locations for UMCs with the consideration of three criteria: demand, land use, and type of road. The analysis considers metric levels (demand), linguistic levels (land use), and cardinal levels (type of road). The land-use category is divided into commercial, residential, mixed commercial and residential, and others. The type of road category is divided into bicycle road, pedestrian zone, oneway road, and traffic-calmed road. The approach is a hybrid multi-criteria analysis combining an Analytical Hierarchical Process (AHP) and PROMETHEE methods. We apply the approach to the city center of Stuttgart in Germany, using real demand data provided by a large logistics service provider. We compared different scenarios weighting the criteria differently with DART software. The different weight allocation results in different numbers of required UMCs and slightly different locations. This research was able to develop, implement, and successfully apply the proposed approach. In subsequent steps, stakeholders such as logistics companies and cities should be involved at all levels of this approach to validate the selected criteria and depict the “weight” of each criterion.

scholarly journals Impact Assessment Model for the Implementation of Cargo Bike Transshipment Points in Urban Districts

2020 ◽  
Vol 12 (10) ◽  
pp. 4082 ◽  
Author(s):  
Tom Assmann ◽  
Sebastian Lang ◽  
Florian Müller ◽  
Michael Schenk
Keyword(s):  
Climate Change ◽  
Urban Areas ◽  
Urban Transportation ◽  
Assessment Model ◽  
Nox Emissions ◽  
Urban Districts ◽  
Last Mile ◽  
Reduce Emissions ◽  
Cargo Bike ◽  
The Impact

Mitigating climate change and improving urban livability is prompting cities to improve sustainability of urban transportation and logistics. Cargo bikes, in combination with urban transshipment points, are gaining momentum as a green last mile alternative. Although a wide body of research proves their viability in dense urban areas, knowledge about planning urban transshipment points is very limited. This also entails the siting of such facilities and the assessment of effects on emissions. This study therefore presents a first quantitative scenario-based model that assesses the impacts on a district. It examines different strategies for siting urban transshipment points in a single district and its effect on traffic, the carbon footprint, and air quality to give strategic insights where to create candidate locations for such facilities. Our result contributes to knowledge of planning urban transshipment facilities and assessing the impact of different configurations. The findings demonstrated that the use of cargo bikes to make courier, express, and parcel (CEP) deliveries in urban districts could reduce greenhouse gas (GHG), particulate matter (PM10), and nitrogen oxides (NOx) emissions significantly. However, the choice of vehicles completing inbound and outbound processes and the strategies for siting urban transshipment points display widely differing and even conflicting potential to reduce emissions.

DEVELOPMENT OF A STEERING AND BRAKING SYSTEM FOR AUTOMATED CARGO-BIKES

2019 ◽  
Vol 13 (1) ◽  
pp. 17-26
Author(s):  
Lars Junge ◽  
Michael Schmidt ◽  
Sebastian Zug ◽  
Stephan Schmidt
Keyword(s):  
Urban Area ◽  
Urban Areas ◽  
Transport Capacity ◽  
Test Vehicle ◽  
Braking System ◽  
Steering Mechanism ◽  
Bike Sharing ◽  
Suitable Concept ◽  
Cargo Bike ◽  
Real Test

To relieve busy urban areas of automobile traffic and exhaust emissions, bike sharing systems are increasingly being implemented. In order to expand the limited transport capacity of a bicycle, cargo bikes are used for private transport in the narrow urban area. The problem is often the availability of a cargo bike at a determined time. The limited number and possibly inhomogeneous distribution in the urban area reduces availability of the cargo bikes. To increase the acceptance of the system, the goal must therefore be to significantly increase the availability at all locations in the urban area. So far, the consumer had to get to the means of transport, now the cargo bike should autonomously navigate to the user and maneuver. This article focuses on the actuators and their modeling as an elementary part of the overall system to enable the automated journey of a cargo bike. There are currently no off-the-shelf components available for braking and steering. The steering and braking system must be able to be controlled separately from each other by humans or automatically, in order to allow manual and automatic operation. For brake and steering a suitable concept is developed, a simulation model is built and evaluated. In addition, the steering mechanism is evaluated with measured values on the real test vehicle.

"Agent-based simulation of restaurant deliveries facilitating cargo-bikes and urban consolidation"

2018 ◽  
Author(s):  
Christian Fikar ◽  
Manfred Gronalt
Keyword(s):  
Urban Areas ◽  
Optimization Procedure ◽  
Simulation Models ◽  
Food Delivery ◽  
Agent Based ◽  
Last Mile ◽  
Last Mile Delivery ◽  
Cargo Bike ◽  
The Impact ◽  
Urban Consolidation

"Last-mile distribution in urban areas is challenged by congestion and restriction for motorized traffic. To support operations, this work investigate the impact of operating urban consolidation points and facilitating cargo-bikes for urban last-mile distribution. Motivated by sample setting originating from the food delivery industry, a decision support system combining agentbased simulation with heuristic optimization procedure is developed. It considers a logistics provider who performs the last-mile delivery for multiple competing restaurants in an urban area. Therefore, both demand and the availability of cargo-bikes, which are operated by freelancers, are subject to randomness. Computational experiments investigate the impact of the available amount of cargo-bike drivers as well as the number of operated consolidation points, highlighting the importance of facilitating simulation models to support operations in highly dynamic and uncertain settings."

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