scholarly journals Independent Retailer Restocking Choices in Urban Goods Movement and Interaction Effects with Traditional Markets

2021 ◽  
Author(s):  
Taufiq Suryo Nugroho ◽  
Chandra Balijepalli ◽  
Anthony Whiteing
Keyword(s):  
Discrete Choice Models ◽  
Positive Influence ◽  
Transport Service ◽  
Vehicle Ownership ◽  
Traditional Markets ◽  
Goods Movement ◽  
Local Supply ◽  
Urban Goods Movement ◽  
Service Choice ◽  
Retrospective Questionnaire

AbstractTraditional markets play a key role in local supply chains in many countries, often influencing retailer decisions due to their inherent attractiveness. In contrast to restocking choices for retailers as part of large chains, choices of independent retailers driven by local traditional markets have not been widely researched and are not well understood. This paper analyses the factors influencing independent retailer restocking choices and investigates the interplay between the presence of traditional markets and retailer choices. Bandung city in Indonesia is chosen for the study where independent retailers are prevalent, and where a number of traditional markets are thriving. A retrospective questionnaire was used to capture independent retailer restocking behaviour and generation models were calibrated to arrive at the trip propensity. Discrete choice models were estimated to explain the retailer preferences for supplier location and transport service choice. Results indicate that trips generated by independent retailers are explained by the presence of traditional markets and retailers’ vehicle ownership, in addition to the standard variables such as number of persons employed, weekly goods demand and average shipment weight. As for restocking location choice, retailers are more likely to choose suppliers within a traditional market where the number of wholesaler units is larger. Furthermore, the choice of traditional markets has a positive influence on whether retailers choose to use their own vehicle to restock their shops.

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 Pilihan Tempat Belanja Masyarakat Perkotaan Dan Implikasinya Pada Peternak Ayam Petelur Di Perdesaan

2017 ◽  
Author(s):  
Ni Made Ratih Kusuma Dewi ◽  
I Wayan Sukadana ◽  
Anak Agung Ketut Ayuningsasi
Keyword(s):  
Urban Communities ◽  
Low Income ◽  
Rural Areas ◽  
Negative Impact ◽  
Positive Influence ◽  
Middle Income ◽  
Income Household ◽  
Traditional Markets ◽  
Choice Pattern ◽  
The City

The increasing prosperity of urban communities in Denpasar, responded by an increasing number of supermarkets and other modern food retailers has raised concerns about its negative impact on traditional retailers. In this paper we discuss about the choice pattern of public spending in the city of Denpasar in an increasingly demanding era of high quality standards. This paper also tries to explain how higher welfare of urban communities can also be distributed to farmers / ranchers in rural areas. This paper surveyed the urban community in Denpasar City to find out the choice of the shopping place for egg products. The results of the analysis using Multinomial Logit found that most people in Denpasar still shop at traditional markets and stalls for low-income and middle-income household, but some high-income household tend to shop in the modern market because they have higher quality compared to with traditional markets. People with higher education and younger household tend to shop in the modern market. Based on the choice of shopping place then we can conclude that the farmers/ranchers get a positive influence of increasing welfare in the city, because farmers/ranchers are only able to distribute their products to traditional markets, small shops and stalls.

From the Last Mile to the Last 800 ft

2017 ◽  
Vol 2609 (1) ◽  
pp. 85-92 ◽  
Author(s):  
Polina Butrina ◽  
Gabriela Del Carmen Girón-Valderrama ◽  
José Luis Machado-León ◽  
Anne Goodchild ◽  
Pramod C. Ayyalasomayajula
Keyword(s):  
Freight Transportation ◽  
Holistic Approach ◽  
Pickup And Delivery ◽  
Public And Private ◽  
Urban Freight ◽  
Customer Expectations ◽  
Goods Movement ◽  
Last Mile ◽  
Increasing Demand ◽  
Urban Goods Movement

Pickup and delivery operations are an essential part of urban goods movements. However, rapid urban growth, increasing demand, and higher customer expectations have amplified the challenges of urban freight movement. In recent years, the industry has emphasized improving last-mile operations with the intent of focusing on what has been described as the last leg of the supply chain. In this paper, it is suggested that solving urban freight challenges requires an even more granular scale than the last mile, that is, the last 800 ft. The necessary operations in the last 800 ft require integration of diverse stakeholders, public and private infrastructure, and a diverse set of infrastructure users with multiple, varied objectives. That complexity has led to a gap in the needs of delivery operations and the characteristics of receiving facilities (i.e., unloading and loading facilities and pickup–drop-off locations). This paper focuses on accessibility for pickup and dropoff operations, taking a closer look at urban goods movement in the last 800 ft from the final customer. The paper presents and analyzes previously documented approaches and measures used to study the challenges at the proposed scale. Finally, it proposes a more holistic approach to address accessibility for urban pickup–delivery operations at the microscale to help develop more comprehensive urban freight transportation planning.

Sign in / Sign up

Export Citation Format

Share Document