scholarly journals Land Consumption of Delivery Robots and Bicycle Couriers for On-Demand Meal Delivery Using GPS Data and Simulations Based on the Time-Area Concept

2021 ◽  
Vol 13 (20) ◽  
pp. 11375
Author(s):  
Maren Schnieder ◽  
Chris Hinde ◽  
Andrew West
Keyword(s):  
Land Use ◽  
Autonomous Vehicles ◽  
Evaluation Method ◽  
Operating Strategy ◽  
On Demand ◽  
Delivery Services ◽  
Gps Traces ◽  
Land Consumption ◽  
Strategy Changes ◽  
Meal Delivery

Regulating the curbside usage of delivery vehicles and ride-hailing services as well as micromobility has been a challenge in the last years, a challenge which might worsen with the increase of autonomous vehicles. The contribution of the research outlined in this paper is an evaluation method of the land use of on-demand meal delivery services such as Deliveroo and UberEats. It evaluates the effect parking policies, operating strategy changes, and scheduling options have on the land consumption of bicycle couriers and sidewalk automated delivery robots (SADRs). Various operating strategies (i.e., shared fleets and fleets operated by restaurants), parking policies (i.e., parking at the restaurant, parking at the customer or no parking) and scheduling options (i.e., one meal per vehicle, multiple meals per vehicle) are simulated and applied to New York City (NYC). Additionally, the time-area requirements of on-demand meal delivery services are calculated based on GPS traces of Deliveroo and UberEats riders in two UK cities. The simulation in the paper shows that SADRs can reduce the time-area requirements by half compared with bicycle couriers. The effect of operating strategy changes and forbidding vehicles to park at the customer’s home is small. Delivering multiple meals in one tour halves the time-area requirements. The time-area requirements based on GPS traces is around 300 m2·min per order. The study allows policymakers to learn more about the land use of on-demand meal delivery services and how these can be influenced. Hence, they can adjust their policy strategies to ensure that on-demand meal delivery services are provided in a way that they use land effectively, reduce external costs, improve sustainability and benefit everyone.

Faster Deliveries and Smarter Order Assignments for an On-Demand Meal Delivery Platform

2019 ◽  
Author(s):  
Wenzheng Mao ◽  
Liu Ming ◽  
Ying Rong ◽  
Christopher S. Tang ◽  
Huan Zheng
Keyword(s):  
On Demand ◽  
Delivery Platform ◽  
Meal Delivery

scholarly journals Modeling the Impacts of Autonomous Vehicles on Land Use Using a LUTI Model

2021 ◽  
Vol 13 (4) ◽  
pp. 1608
Author(s):  
Rubén Cordera ◽  
Soledad Nogués ◽  
Esther González-González ◽  
José Luis Moura
Keyword(s):  
Land Use ◽  
Urban Sprawl ◽  
Autonomous Vehicles ◽  
Interaction Model ◽  
Urban Systems ◽  
Unwanted Effect ◽  
Urban Center ◽  
Positive Effects ◽  
Current Paradigm ◽  
Shed Light

Autonomous vehicles (AVs) can generate major changes in urban systems due to their ability to use road infrastructures more efficiently and shorten trip times. However, there is great uncertainty about these effects and about whether the use of these vehicles will continue to be private, in continuity with the current paradigm, or whether they will become shared (carsharing/ridesharing). In order to try to shed light on these matters, the use of a scenario-based methodology and the evaluation of the scenarios using a land use–transport interaction model (LUTI model TRANSPACE) is proposed. This model allows simulating the impacts that changes in the transport system can generate on the location of households and companies oriented to local demand and accessibility conditions. The obtained results allow us to state that, if AVs would generate a significant increase in the capacity of urban and interurban road infrastructures, the impacts on mobility and on the location of activities could be positive, with a decrease in the distances traveled, trip times, and no evidence of significant urban sprawl processes. However, if these increases in capacity are accompanied by a large augment in the demand for shared journeys by new users (young, elderly) or empty journeys, the positive effects could disappear. Thus, this scenario would imply an increase in trip times, reduced accessibilities, and longer average distances traveled, all of which could cause the unwanted effect of expelling activities from the consolidated urban center.

scholarly journals Cybersafety Approach to Cybersecurity Analysis and Mitigation for Mobility-as-a-Service and Internet of Vehicles

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1220
Author(s):  
Chee Wei Lee ◽  
Stuart Madnick
Keyword(s):  
Autonomous Vehicles ◽  
Process Analysis ◽  
Hazard Analysis ◽  
Urban Mobility ◽  
Internet Of Vehicles ◽  
On Demand ◽  
Software Updates ◽  
Levels Of Automation ◽  
New Generation ◽  
Convergence Of Technologies

Urban mobility is in the midst of a revolution, driven by the convergence of technologies such as artificial intelligence, on-demand ride services, and Internet-connected and self-driving vehicles. Technological advancements often lead to new hazards. Coupled with the increased levels of automation and connectivity in the new generation of autonomous vehicles, cybersecurity is emerging as a key threat affecting these vehicles. Traditional hazard analysis methods treat safety and security in isolation and are limited in their ability to account for interactions among organizational, sociotechnical, human, and technical components. In response to these challenges, the cybersafety method, based on System Theoretic Process Analysis (STPA and STPA-Sec), was developed to meet the growing need to holistically analyze complex sociotechnical systems. We applied cybersafety to coanalyze safety and security hazards, as well as identify mitigation requirements. The results were compared with another promising method known as Combined Harm Analysis of Safety and Security for Information Systems (CHASSIS). Both methods were applied to the Mobility-as-a-Service (MaaS) and Internet of Vehicles (IoV) use cases, focusing on over-the-air software updates feature. Overall, cybersafety identified additional hazards and more effective requirements compared to CHASSIS. In particular, cybersafety demonstrated the ability to identify hazards due to unsafe/unsecure interactions among sociotechnical components. This research also suggested using CHASSIS methods for information lifecycle analysis to complement and generate additional considerations for cybersafety. Finally, results from both methods were backtested against a past cyber hack on a vehicular system, and we found that recommendations from cybersafety were likely to mitigate the risks of the incident.

scholarly journals Kajian Potensi Produksi Hijauan Pakan pada Lahan Eksisting dan Potensial untuk Meningkatkan Populasi Ternak Ruminansia di Kabupaten Aceh Besar

2015 ◽  
Vol 15 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Mira Delima ◽  
Abubakar Karim ◽  
M. Yunus
Keyword(s):  
Land Use ◽  
Evaluation Method ◽  
Soil Depth ◽  
Secondary Data ◽  
Primary Data ◽  
Forage Production ◽  
Land Capability ◽  
Livestock Population ◽  
Survey And Evaluation ◽  
Potential Land

(The study of prospective forage production on existing and potential land use to support increasing livestock population in Aceh Besar) ABSTRACT. The purpose of this research was to find out the width and scattered location of existing land use which its land capability class suitable for pastures; forage production prospective, and land carrying capacity. The combination of survey and evaluation method was used in this study. The primary data were obtained by field observation and compiling documents, while the secondary data were obtained from various sources, including Bappeda Aceh, and Dinas Peternakan Aceh Besar. Land capability classification was defined based on a modified USDA method and land capability class mapping was prepared based on overlay method by geoprocessing of Geographic Information Systems. The attributes delineating land capability classification included slope, erosion potential and soil depth. Spatial and attributes data were processed using ArcGIS 9.3. Interpretation of land use map derived from satellite imagery analysis results. Brachiaria humidicola green production (tons/year) was determined by assumption-based on obtaining data from various sources. Present livestock population and increasing of population target up to 2017 were obtained from Dinas Peternakan Aceh Besar. The results showed that the existing land use area was 28,632.23 ha (59.03 %), whereas the potential land use area was 19,875.73 ha (40.97%). Land use area for pastures in the district of Aceh Besar, both existing and potential, were sufficient to support the achievement of livestock population increasing program.

scholarly journals An Efficient Multi-Vehicle Routing Strategy for Goods Delivery Services

2021 ◽  
Author(s):  
Linh Nguyen
Keyword(s):  
Autonomous Vehicles ◽  
Optimization Problem ◽  
Transportation Cost ◽  
Mixed Integer ◽  
Optimal Routing ◽  
Ground Vehicles ◽  
Routing Optimization ◽  
Routing Strategy ◽  
Delivery Services ◽  
Delivery Vehicles

<pre>The paper addresses the problem of efficiently planning routes for multiple ground vehicles used in goods delivery services. Given popularity of today's e-commerce, particularly under the COVID-19 pandemic conditions, goods delivery services have been booming than ever, dominated by small-scaled (electric) bikes and promised by autonomous vehicles. However, finding optimal routing paths for multiple delivery vehicles operating simultaneously in order to minimize transportation cost is a fundamental but challenging problem. In this paper, it is first proposed to exploit the mixed integer programming paradigm to model the delivery routing optimization problem (DROP) for multiple simultaneously-operating vehicles given their energy constraints. The routing optimization problem is then solved by the multi-chromosome genetic algorithm, where the number of delivery vehicles can be optimized. The proposed approach was evaluated in a real-world experiment in which goods were expected to be delivered from a depot to 26 suburb locations in Canberra, Australia. The obtained results demonstrate effectiveness of the proposed algorithm.</pre>

Abstract 14055: Impact of a Boxed Meal Facilitated Plant-based Diet on Cardiometabolic Endpoints: A Clinical Trial

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Amanda L Keller ◽  
Sanaz Ziad ◽  
Allison M Stephens ◽  
Elizabeth A Tesch ◽  
Joseph Sky ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Dietary Intervention ◽  
Clinical Endpoints ◽  
Intention To Treat ◽  
Delivery Services ◽  
Student’S T ◽  
The Military ◽  
The Impact ◽  
Omnivorous Diet ◽  
Meal Delivery

Background: Plant-based diets (PBD) are increasingly recommended to reduce the risk of cardiovascular disease. Boxed meal-delivery services are a growing market facilitating consumer convenience; however, their effects on health require further study. We compared cardiometabolic changes between a boxed meal facilitated PBD (f-PBD) and Standard Omnivorous Diet (f-SOD). Methods: A prospective, controlled, parallel-designed trial assessing the impact of a f-PBD (n=16) to a f-SOD (n=16) on cardiometabolic endpoints was conducted in military beneficiaries. Participants with a BMI >25 kg/m 2 consuming a standard omnivorous diet volunteered to adopt a f-PBD or f-SOD for a 4-week period. Participants had the option to consume breakfast and lunch according to their adopted diet at the military dining facility. Dinner was facilitated by shipping a commercially available plant-based or standard omnivorous boxed meal kit to participants as appropriate. Lipid parameters were monitored at baseline and at 4 weeks. Weight, blood pressure (BP) and other clinical endpoints were assessed weekly. The primary endpoints were change from baseline at 4 weeks in calculated low-density lipoproteins (LDL-c) and weight. A student’s t-test was performed to assess differences between groups using the intention-to-treat methodology. Results: A total of 32 participants were enrolled in the f-PBD and f-SOD groups. Average age of participants was 33.3±7.8 years, BMI was 29.6±3.5 kg/m 2 and 50% were male. Change in LDL-c from baseline in the f-PBD and f-SOD groups were -9.41±21.7 mg/dl and +5.63±15.9 mg/dl, respectively (p=0.033). The change in weight from baseline in the f-PBD and f-SOD groups were -3.82±4.4 pounds and +0.87±2.7 pounds, respectively (p=0.001). Systolic BP decreased non-significantly in the f-PBD group (-4.88±5.4 mmHg vs -0.38±9.2 mmHg for f-PBD and f-SOD, respectively, p=0.103). Conclusion: Incorporating a meal-delivery f-PBD significantly reduced LDL-c and weight over a 4-week period. Plant-based meal kits could serve as a novel dietary intervention in the optimization of cardiovascular disease burden.

scholarly journals Review and Development of a Land Consumption Evaluation Method Based on the Time-Area Concept of Last Mile Delivery Using Real Delivery Trip Data

2020 ◽  
Vol 12 (24) ◽  
pp. 10626
Author(s):  
Maren Schnieder ◽  
Chris Hinde ◽  
Andrew West
Keyword(s):  
Evaluation Method ◽  
Single Mode ◽  
Primary Objective ◽  
Housing Crisis ◽  
Data Set ◽  
Last Mile ◽  
Land Consumption ◽  
Operating Strategies ◽  
Mode Of Transport ◽  
Last Mile Delivery

The paper proposes an evaluation method providing decision support for policymakers in regard to the land consumption of transport activities. Due to the increasing pressure on vehicle parking, traffic jams and the housing crisis in large cities, it is important to use road space effectively. The primary objective of this paper is to review and evaluate the published research about the time-area concept, as well as proposing an evaluation method for the time-area requirements of vehicles used in last mile delivery such as pedestrian porters, bicycles, cargo bikes, sidewalk autonomous delivery robots (SADRs) and delivery vans. The time-area concept measures the size of an area occupied during a transport activity and the duration for which it is occupied for standing, as well as moving transport units. While most of the research applies the time-area concept to compare various modes of transport used to move people around a city, this paper focusses on moving parcels and evaluates the effect that operating strategies and policy changes have on the time-area requirements of a single mode of transport. The study builds on a real trip data set of parcel deliveries in London.

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