scholarly journals Sensitivity Analysis of Emission Models of Parcel Lockers vs. Home Delivery Based on HBEFA

2021 ◽  
Vol 18 (12) ◽  
pp. 6325
Author(s):  
Maren Schnieder ◽  
Chris Hinde ◽  
Andrew West
Keyword(s):  
New York ◽  
Road Transport ◽  
Emission Factors ◽  
Home Delivery ◽  
Demand Model ◽  
External Effects ◽  
Last Mile ◽  
Emission Models ◽  
Home Deliveries ◽  
Parcel Deliveries

Global concerns about the environmental effects (e.g., pollution, land use, noise) of last-mile deliveries are increasing. Parcel lockers are seen as an option to reduce these external effects of last-mile deliveries. The contributions of this paper are threefold: firstly, the research studies simulating the emissions caused by parcel delivery to lockers are summarized. Secondly, a demand model for parcel deliveries in New York City (NYC) is created for 365 days and delivery trips to lockers and homes are optimized for 20 “real-world” scenarios. Thirdly, using the emission factors included in the HandBook Emission Factors for Road Transport (HBEFA) database, the maximum percentage of customers who could pick up a parcel by car from parcel lockers that would result in fewer total emissions (driving customers + walking customers) than if home deliveries were adopted is calculated for various pollutants and scenario assumptions (i.e., street types, temperature, parking duration, level of service and vehicle drivetrain). This paper highlights how small changes in the calibration can significantly change the results and therefore using average values for emission factors or only considering one pollutant like most studies may not be appropriate.

Investigation of Home Delivery Models and Logistics Services in China

2019 ◽  
Vol 2673 (9) ◽  
pp. 11-22
Author(s):  
Liying Song ◽  
Baohua Mao ◽  
Zhengqiang Wu ◽  
Jun Wang
Keyword(s):  
Ant Colony Algorithm ◽  
Home Delivery ◽  
Subway Station ◽  
Internet Shopping ◽  
Last Mile ◽  
Research Findings ◽  
Collection Cost ◽  
Home Deliveries ◽  
Delivery Route ◽  
Delivery Models

The last-mile issue is of great concern in coping with the considerable development of the internet shopping market in China. Several issues arise from home delivery activities for fulfilling internet shopping orders; for example, increased operating costs for handling failed home deliveries, and deteriorating traffic conditions resulting from frequent delivery trips. To improve the logistics efficiency of home delivery operations and solve the problem of delivery failures, pick-up points (PPs) and self-delivery boxes (SDBs) are being implemented in China. This study investigates three home delivery models including the traditional model, the PP model, and the SDB model. Under each model, the carrier’s delivery distance and the customer’s collection distance are calculated. According to the distance, the costs of the three delivery models are compared. To simulate the carrier’s delivery route, an ant colony algorithm combined with genetic algorithm is developed to optimize the delivery route in this research. The research findings are: (1) Both the PP model and the SDB model are capable of reducing the customer’s collection cost significantly, by between 29.1% and 84%, when at least 30% of home deliveries are missed. (2) The SDB model is more favorable in relation to reducing the delivery costs of the express company, by between 67.1% and 71.3% when the proportion of missed home deliveries ranges from 20% to 50%. (3) Among PPs using the post office, convenience store, and subway station, the subway station network is the most effective scheme in relation to reducing the customer’s collection cost, by 84%.

scholarly journals Exploring the Relationship between Locational and Household Characteristics and E-Commerce Home Delivery Demand

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 29
Author(s):  
Cheng Cheng ◽  
Takanori Sakai ◽  
André Alho ◽  
Lynette Cheah ◽  
Moshe Ben-Akiva
Keyword(s):  
Online Shopping ◽  
Household Survey ◽  
Past Research ◽  
Home Delivery ◽  
Local Context ◽  
Household Characteristics ◽  
Use Of Data ◽  
Research Findings ◽  
Individual Household ◽  
Parcel Deliveries

The rapid growth in online shopping and associated parcel deliveries prompts investigation of the factors that contribute to parcel delivery demand. In this study, we evaluated the influence of locational and household characteristics on e-commerce home delivery demand. While past research has largely focused on the impacts of the adoption of online shopping using individual/household survey data, we made use of data from an e-commerce carrier. A linear regression model was estimated considering factors such as degree of urbanization, transit and shopping accessibility, and household attributes. The results both confirm and contradict prior research findings, highlighting the potential for a non-negligible influence of the local context on demand for parcel deliveries.

scholarly journals Supply chain cost improvement opportunities through streamlining cross-border operations

2013 ◽  
Vol 3 (3) ◽  
pp. 28-34
Author(s):  
Jan Hendrik Havenga ◽  
J. van Eeden ◽  
Wessel Pienaar
Keyword(s):  
South Africa ◽  
Supply Chain ◽  
Cost Model ◽  
Road Transport ◽  
Demand Model ◽  
Logistics Cost ◽  
Cross Border ◽  
Cost Impact ◽  
Product Profile ◽  
Trading Partners

The Cross-Border Road Transport Agency (CBRTA) in South Africa aims to encourage and facilitate trade between South Africa and its neighbouring countries. The CBRTA sponsored a study by Stellenbosch University (SU) to determine the logistics cost impact of cross-border delays between South Africa and its major neighbouring trading partners, and prioritise opportunities for improvement. SU is the proprietor of both a comprehensive freight demand model and a logistics cost model for South Africa, which enable extractions and extensions of freight flows and related costs for specific purposes. Through the application of these models, the following information is identified and presented in this paper: South Africa’s most important border posts (based on traffic flows); a product profile for imports and exports through these border posts; the modal split (road and rail); the annual logistics costs incurred on the corridors feeding the border posts, as well as the additional costs incurred due to border delays. The research has proved that the streamlining of border-post operations that take a total supply chain view (i.e. of both border operations and those that could be moved from the border) is beneficial.

scholarly journals Non-use of Janani Avam Bal Suraksha Yojana in a district of Bihar: ensuring safe deliveries needs strategy modification

2018 ◽  
Vol 5 (8) ◽  
pp. 3311 ◽  
Author(s):  
Madhumita Mukherjee ◽  
Rashmi Singh ◽  
Amrita Mukherjee ◽  
Madhulekha Bhattacharya
Keyword(s):  
Institutional Delivery ◽  
Conditional Cash Transfer ◽  
Home Delivery ◽  
Cash Transfer ◽  
Health Staff ◽  
Cross Sectional ◽  
Emergency Transport ◽  
The Status ◽  
Home Deliveries ◽  
One Year

Background: India’s Janany Surakhsha Yojana (JSY) is the largest conditional cash transfer (CCT) program in the world in terms of the number of beneficiaries - covering about 9·5 million (36%) of 26 million women giving birth in India. Eleven States/UTs including Bihar, are still below the National estimate for institutional delivery of 78.9% (NFHS 4). In this study we attempted to find out the status of institutional and home deliveries in district Arwal of Bihar and reasons why in spite of cash incentives a proportion of mothers are opting for home delivery.Methods: A cross sectional descriptive design was used to interview 407 women, who had given birth to a child in previous one year. Focuss group discussions was held with community and health staff to corroborate the interview data.Results: Fifty nine percent of mothers were found to have preferred home delivery over institutional one. Reasons which came to light were home deliveries are cheaper (24.1%), unawareness about JSY (22%), unavailability of transport to reach hospital (22%) and better care being taken at home delivery (20.1%) variables. Older age, having a BPL card, and literacy of husband were found as favoring institutional delivery whereas dissatisfaction during a previous abortion or a livebirth in hospital were both associated with non-use.Conclusions: Better client awareness, strengthening of public health infrastructure, availability of skilled birth attendants at health subcentres (HSCs) and emergency transport in time can reduce number of home deliveries and lead to success of JBSY programme and subsequent reduction in maternal morbidity and mortality.

scholarly journals Newborn Care Practices by the Mother / Care Givers’ and Their Knowledge about Signs of Sickness of Neonates

2012 ◽  
Vol 35 (3) ◽  
pp. 90-96 ◽  
Author(s):  
Md Mahbubul Hoque ◽  
Mohammad Faizul Haque Khan ◽  
Jotsna Ara Begum ◽  
MAK Azad Chowdhury ◽  
Lars Ake Persson
Keyword(s):  
Neonatal Mortality ◽  
Newborn Care ◽  
Cost Effective ◽  
Home Delivery ◽  
Prelacteal Feeding ◽  
Cross Sectional ◽  
Institutional Deliveries ◽  
Home Deliveries ◽  
Care Practices ◽  
At Home

Background: Despite proven cost effective intervention, there has been little change in neonatal mortality. In Bangladesh neonatal mortality accounts for two third of infants death. About 90% deliveries take place in home and majority of neonatal death are taking place within 7 days of birth. Information about reasons for delivering at home and newborn care practices will be useful to undertake simple intervention measures by policy makers.Aims and objective: To see the knowledge, perception and behaviour of mothers towards their normal and sick newborn.Methods: A cross sectional study was carried out in Dhaka Shishu Hospital from June to November, 2007. A semistructured, pretested questionnaire was used to interview mothers attending inpatient (IPD) and outpatient department (OPD) of hospital.Results: A total 198 mothers were interviewed. Home deliveries were 35.5% and Institutional were 64.5%. Among the Institutional deliveries 35% (44 out of 127) were planned and tried first at home, but when failed mothers were taken to hospital. Majority (86%) of home deliveries were conducted by Dai/relatives. Umbilical cord was cut with new/boiled blade in 85% of home deliveries and household knife was used in 4% cases. Birth place were not at all heated in all home deliveries. In 32 % of home deliveries babies were given bath within 1 hour of birth and it was 15% in case of hospital deliveries. Forty-eight percent babies of home deliveries were wrapped within 10 minutes. Prelacteal feed was given in 51% of home deliveries in comparison to 23% of institutional deliveries. The rate of initiation of breast feeding within one hour of birth was 52% in home and 35% in institutional deliveries. In all cases breast milk was given within 48 hours. Main reasons cited for delivering at home were preference (43%) and fear about hospital (39%). In case of educated (graduate) mothers 72% deliveries took place at hospital. Less feeding (56%), vomiting (42%), less movement (32%), fever (29%) and cough (27%) could be recognized by mothers as signs of sickness.Conclusion: Home deliveries and poor newborn care practices are commonly found in this study. Traditional birth attendants should be adequately trained as they are conducting majority of home deliveries. Female education is very important to reduce home delivery as it is seen that deliveries of educated mothers are taking place in hospital. High risk traditional newborn care practices like delayed wrapping, early bathing, use of oil in umbilical stump and prelacteal feeding need to be addressed. This study also found that knowledge to identify sickness in newborn is still poor.DOI: http://dx.doi.org/10.3329/bjch.v35i3.10497  Bangladesh J Child Health 2011; Vol 35 (3): 90-96

Design of Carbon Efficient Online Logistics Networks

2014 ◽  
Vol 962-965 ◽  
pp. 1444-1449
Author(s):  
Guang Yong Yang
Keyword(s):  
Carbon Emission ◽  
Home Delivery ◽  
Design Constraint ◽  
Logistics Network ◽  
Logistics Networks ◽  
Last Mile ◽  
Emission Regulations ◽  
Brick And Mortar ◽  
Last Mile Delivery ◽  
Delivery Network

With development of internet network, more traditional brick-and-mortar firms sell products via online channels. The key feature of online channels is home delivery, hence, how to design efficient online logistics networks has been the core problem faced by online firms. Furthermore, with increasing pollution of ecological environment and global warming, more carbon emission regulations enacted and implemented also impact firms operation and decision. This paper mainly study online logistics networks design constraint from carbon emission regulations. We analyze the following three types of networks, dropping delivery network (D), delivery network via distribution center (W), and last mile delivery network (L). Combining carbon emission from inbound and outbound transportation, and emission from inventory storage, we design optimal logistics networks and then analyze online logistics network design of Sunfeng best choice firm.

scholarly journals Russia's black carbon emissions: focus on diesel sources

2016 ◽  
Vol 16 (17) ◽  
pp. 11267-11281 ◽  
Author(s):  
Nazar Kholod ◽  
Meredydd Evans ◽  
Teresa Kuklinski
Keyword(s):  
Black Carbon ◽  
Road Transport ◽  
Emission Factors ◽  
Diesel Emissions ◽  
Polar Regions ◽  
Emission Model ◽  
Road Vehicles ◽  
Activity Data ◽  
Diesel Vehicles ◽  
Model Computer

Abstract. Black carbon (BC) is a significant climate forcer with a particularly pronounced forcing effect in polar regions such as the Russian Arctic. Diesel combustion is a major global source of BC emissions, accounting for 25–30 % of all BC emissions. While the demand for diesel is growing in Russia, the country's diesel emissions are poorly understood. This paper presents a detailed inventory of Russian BC emissions from diesel sources. Drawing on a complete Russian vehicle registry with detailed information about vehicle types and emission standards, this paper analyzes BC emissions from diesel on-road vehicles. We use the COPERT emission model (COmputer Programme to calculate Emissions from Road Transport) with Russia-specific emission factors for all types of on-road vehicles. On-road diesel vehicles emitted 21 Gg of BC in 2014: heavy-duty trucks account for 60 % of the on-road BC emissions, while cars represent only 5 % (light commercial vehicles and buses account for the remainder). Using Russian activity data and fuel-based emission factors, the paper also presents BC emissions from diesel locomotives and ships, off-road engines in industry, construction and agriculture, and generators. The study also factors in the role of superemitters in BC emissions from diesel on-road vehicles and off-road sources. The total emissions from diesel sources in Russia are estimated to be 49 Gg of BC and 17 Gg of organic carbon (OC) in 2014. Off-road diesel sources emitted 58 % of all diesel BC in Russia.

scholarly journals "Sustainability evaluation of last mile food delivery: pick up point using lockers versus home delivery"

2018 ◽  
Author(s):  
Sameh M. Saad ◽  
Ramin Bahadori
Keyword(s):  
Supply Chain ◽  
Service Delivery ◽  
Simulated Annealing Algorithm ◽  
Time Window ◽  
Home Delivery ◽  
Food Delivery ◽  
Optimal Number ◽  
Home Service ◽  
Last Mile ◽  
Last Mile Delivery

"The Last mile delivery is known as one of the most costly and highest polluting stages within the food supply chain where food companies deliver the food products to the final consumers. As a new approach in this area, currently, a few food retailers offering pick up point service delivery using lockers. This paper provides a comprehensive comparison of the sustainability performance between home service delivery and picks up point service delivery using lockers. Hypothetical last mile food models for both approaches are developed. A Vehicle Route Problem with Time Window (VRPTW) is developed to minimise the CO2 emission and implemented using the simulated annealing algorithm which is programmed in MATLAB software. Supply Chain GURU Software is adapted to implement the Greenfield analysis to identify the optimal number and the location of the locker facilities through a Greenfield service constraint."

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