scholarly journals E-Groceries: A Channel Choice Analysis in Shanghai

2021 ◽  
Vol 13 (7) ◽  
pp. 3625
Author(s):  
Valerio Gatta ◽  
Edoardo Marcucci ◽  
Ila Maltese ◽  
Gabriele Iannaccone ◽  
Jiarui Fan
Keyword(s):  
Time Window ◽  
Stated Preference ◽  
Heterogeneous Reactions ◽  
Policy Implications ◽  
Delivery Model ◽  
Channel Choice ◽  
Market Shares ◽  
Choice Analysis ◽  
Last Mile ◽  
Last Mile Delivery

E-grocery is becoming more and more popular, involving both pure e-commerce players and physical stores in its development and sales. As a consequence, the last mile delivery model has been heavily modified, with ambiguous final impact on the environment. This paper identifies the key elements germane to e-grocery (demand and supply), discusses e-grocery development and investigates the challenges ahead. In more detail, it presents the results of a stated preference survey on consumers’ channel choices for the grocery market. The survey was carried out in Shanghai (China) in order to investigate different purchase attributes, such as product and delivery service price, product range, lead time, time window and travel time. The paper identifies heterogeneous reactions to alternative service configurations, which allows to estimate market shares for e-grocery, with the in-store option as a reference. Policy implications and operational solutions to improve the sustainability of this renewed last mile delivery model are thus proposed.

Commuter Bicyclist Route Choice: Analysis Using a Stated Preference Survey

2003 ◽  
Vol 1828 (1) ◽  
pp. 107-115 ◽  
Author(s):  
Monique A. Stinson ◽  
Chandra R. Bhat
Keyword(s):  
Travel Time ◽  
Stated Preference ◽  
Empirical Models ◽  
Policy Implications ◽  
Facility Planning ◽  
Quality Factors ◽  
Stated Preference Survey ◽  
Factors Affecting ◽  
Choice Analysis ◽  
Using Data

The importance of factors affecting commuter bicyclists’ route choices was evaluated. Both route-level (e.g., travel time) and link-level (e.g., pavement quality) factors are examined. Empirical models are estimated using data from a stated preference survey conducted via the Internet. The models indicate that, for commuter bicyclists, travel time is the most important factor in choosing a route. Presence of a bicycle facility (especially a bike lane or separate path), the level of automobile traffic, pavement or riding surface quality, and presence of a bicycle facility on a bridge are also very important determinants. Furthermore, there are policy implications of these results for bicycle facility planning.

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."

scholarly journals A Novel Delivery Model to Expand E-commerce Customers Based on Telecom Data Mining

10.29007/vn4r ◽  
2019 ◽  
Author(s):  
Giridhar Maji ◽  
Sharmistha Mandal ◽  
Narayan Debnath ◽  
Soumya Sen
Keyword(s):  
Tier 2 ◽  
Distribution Centers ◽  
Field Surveys ◽  
Delivery Model ◽  
Delivery Service ◽  
Location Data ◽  
Last Mile ◽  
Tier 3 ◽  
Last Mile Delivery ◽  
Firsthand Experience

A very important issue with the e-commerce delivery service in most of the emerging economies including India is the last mile connectivity. Delivering products, booked online to the remote tier-2 and tier-3 cities remained “costly”. It is observed from firsthand experience with some well-known e-commerce brands in India that their delivery service partners tend to cancel orders that are far away from their tier-2 logistics hubs with the reason shown as “address out of delivery range”. Due to low order density in the far flanges of tier-2 and tier-3 cities arranging vehicles and delivery personnel become costly. In this paper, we propose an innovative delivery model to serve the remote areas by opening edge-hubs at selected places and employing local daily commuters for last mile delivery. Identifying the edge-hubs for opening distribution centers is a costly business if done using traditional field surveys. Here we propose the use of telecom call detail record (CDR) location data as an alternate way of identifying the hubs in real time with much less cost and time.

Parcel Locker as the Alternative of Parcel Delivery Service of Online Shopping

2020 ◽  
Vol 17 (2) ◽  
pp. 1311-1317
Author(s):  
Hendra Gunawan ◽  
Nahry ◽  
Andyka Kusuma ◽  
Sarini Abdullah
Keyword(s):  
Online Shopping ◽  
Choice Model ◽  
Stated Preference ◽  
Home Delivery ◽  
Long Distance ◽  
Delivery Service ◽  
Last Mile ◽  
Online Shoppers ◽  
The Cost ◽  
Last Mile Delivery

Currently, parcel delivery activities are growing rapidly in the urban area along with the increase in online shopping transactions. This trend has an impact on the deterioration in the performance of the urban transportation system due to the increase of fleet of goods carriers as part of last mile delivery of online shopping. To overcome this situation, many countries have developed a delivery service using a parcel locker. In parcel locker service, consumers collect their shipments from lockers, which are mostly situated in public places, such as train stations, gas filling places, convenience stores, etc., instead of receiving them at their homes using a home delivery service. This service also exists in Indonesia, but its use is still not popular. This study aims to develop a choice model of last mile supply package between home delivery and parcel locker. The development of the model is based on the Binomial Logit Model. The calibration process uses the results of Stated Preference survey conducted to online shoppers who have not used parcel locker. Hypothetical conditions used in this survey represent the cost and location of a parcel locker. Location is represented by the shortest (<1 km), medium (1–3 km) and longest (3–5 km) distance of a parcel locker to the respondent’s home. Given the current cost, the potential demand for parcel lockers is 26%, 17% and 13% for short, medium and long distance, respectively. When the willingness to pay of the respondent is represented by a value whereby both methods will be chosen with the same probability, the parcel locker must offer a cost of 65% and 33%, respectively, of the home delivery option for the condition of short distance and medium distance; whereas the parcel locker cannot compete for long distance condition.

scholarly journals A Disruption Recovery Problem with Time Windows Change in the Last Mile Delivery of Online Shopping

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Li Jiang ◽  
Changyong Liang ◽  
Junfeng Dong ◽  
Wenxing Lu ◽  
Marko Mladenovic
Keyword(s):  
Online Shopping ◽  
Time Window ◽  
Time Windows ◽  
Home Delivery ◽  
Delivery Mode ◽  
Variable Neighborhood Descent ◽  
Last Mile ◽  
Last Mile Delivery ◽  
Disruption Recovery ◽  
Recovery Problem

Frequent time window changing disruptions result in high secondary delivery rates in the last mile delivery. With the rapid growth of parcel volumes in online shopping, the time window changing disruptions could translate to substantial delivery cost-wastes. In recent years, customer pickup (CP), a new delivery mode that allows customers to pick up their parcels from shared delivery facilities, has provided a new way to deal with such disruptions. This study proposed a disruption recovery problem with time windows change in the last mile delivery in which customers can be served through home delivery (HD) or CP. A variant variable neighborhood descent (VVND) algorithm was presented to solve the problem. Computational experiments based on a set of instances were tested, and results were compared with other heuristics in the literature, which have affirmed the competitiveness of the model and algorithm.

Villgro Innovation Marketing Private Limited: Building last mile delivery model using entrepreneurs

2015 ◽  
pp. 1-15
Author(s):  
Vaibhav Bhamoriya ◽  
Abhishek
Keyword(s):  
Business Model ◽  
Delivery Model ◽  
Village Level ◽  
Sustainable Products ◽  
Rural Livelihood ◽  
Last Mile ◽  
Horizontal Expansion ◽  
The Right ◽  
Last Mile Delivery ◽  
Delivery Models

Ashutosh Sinha is managing VIMPL as rural distribution business involving Villgro stores and village level entrepreneurs (VLE). After spending two years in evolving the business model which provides sustainable products to improve rural livelihood, he has recently started selling FMCG products through VIMPL network. As he decides to expand the business, he has to make choices about strategic path of horizontal expansion versus vertical expansion. The expansion decision is also linked with choosing the right type of VLEs. The case provides detailed description of VLE operations and examines the challenges in building last mile delivery models using entrepreneurs.

Villgro Innovation Marketing Pvt. Ltd.: Building Last Mile Delivery Model Using Entrepreneurs

2018 ◽  
Vol 22 (01) ◽  
pp. 57-80
Author(s):  
Vaibhav Bhamoriya ◽  
Abhishek
Keyword(s):  
Business Model ◽  
Delivery Model ◽  
Village Level ◽  
Sustainable Products ◽  
Rural Livelihood ◽  
Last Mile ◽  
Horizontal Expansion ◽  
The Right ◽  
Last Mile Delivery ◽  
Delivery Models

Ashutosh Sinha is managing Villgro Innovation Marketing Private Limited (VIMPL) as a rural distribution business involving Villgro stores and village level entrepreneurs (VLE). After spending two years in evolving the business model which provides sustainable products to improve rural livelihood, he has recently started selling FMCG products through the VIMPL network. As he decides to expand the business, he has to make choices about the strategic path of horizontal expansion versus vertical expansion. The expansion decision is also linked with choosing the right type of VLEs. The case provides detailed description of VLE operations and examines the challenges in building last mile delivery models using entrepreneurs.

scholarly journals Delivery Models in Last Mile Logistics

2018 ◽  
Vol 6 (2) ◽  
pp. 20-24
Author(s):  
Stanislava Turská ◽  
◽  
Roman Chinoracký ◽  
Jana Kurotová ◽  
Simona Jaculjaková ◽  
...  
Keyword(s):  
End Users ◽  
Secondary Research ◽  
Delivery Model ◽  
Last Mile ◽  
Last Mile Delivery ◽  
Near Future ◽  
Delivery Models

In logistics the key problem of last mile is how to deliver goods from distribution hub to end users in cities and built-up areas. The paper deals with an issue of last mile delivery. The main objective of the paper is to analyse possible solutions how to deliver consignments to end customers. To achieve the aim, we realized secondary research in which we identified seven basic delivery models. Some of the delivery models are traditional, but there are delivery models which are a matter of the near future. One of the most appropriate solutions how to enhance effectiveness in the process of last mile delivery is to take advantages of every identified delivery model. Results of the research also imply a comparison of delivery models.

Do e-commerce customers change their preferred last-mile delivery based on its sustainability impact?

2020 ◽  
Vol 31 (3) ◽  
pp. 521-548 ◽  
Author(s):  
Bianca Ignat ◽  
Stanislav Chankov
Keyword(s):  
Information Sharing ◽  
Stated Preference ◽  
Real Life ◽  
New Approach ◽  
Content Type ◽  
Additional Information ◽  
Last Mile ◽  
Making Choices ◽  
Delivery Options ◽  
Last Mile Delivery

PurposeThe purpose of this paper is to explore if e-commerce customers change their preferred last-mile delivery, when they are provided with additional information on the environmental and social sustainability impact of the available last-mile delivery options.Design/methodology/approachWe conduct a stated-preference survey and apply McNemar test on the collected data.FindingsThe results show that displaying the environmental and social impacts of last-mile deliveries influences E-commerce customers, and generally makes them more likely to choose a more sustainable last-mile delivery.Research limitations/implicationsThe main limitations are (1) the possible inconsistency between participants' intentions stated in the survey and their actual behaviour in real life and (2) the possibility of participants denying socially undesirable behaviours. Further research can study e-commerce customers' real behaviour.Practical implicationsE-retailers and logistics companies could implement transparent information sharing on the delivery sustainability impact on all three sustainability pillars.Social implicationsThe suggested transparent information sharing has the potential to change customers' behaviours towards more sustainable deliveries.Originality/valueWe provide a new approach in investigating customers' preferences on last-mile deliveries, by giving E-customers the chance of making choices between different deliveries, not only based on the economic factors (as in common practice nowadays) but also based on the environmental and social factors.

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