Direct Effects of City Logistics Measures and Urban Freight Demand Models

Author(s):  
Agostino Nuzzolo ◽  
Antonio Comi
2010 ◽  
Vol 33 ◽  
pp. 351-355 ◽  
Author(s):  
Yan Zhang ◽  
Oh Kyoung Kwon

The concept of city logistics facilities is to help establish more efficient urban logistics systems for both private companies and society, reduce the total social and environmental costs of urban freight transport and improve the urban traffic conditions on the road network. This study adopts a fuzzy synthetic evaluation method to determine the optimal location of city logistics facilities.


2018 ◽  
Vol 10 (3) ◽  
pp. 587-599 ◽  
Author(s):  
José Maria Dias ◽  
Gabriel Bugan Sobanski ◽  
João Eduardo Azevedo Ramos da Silva ◽  
Leise Kelli de Oliveira ◽  
José Geraldo Vidal Vieira

Abstract According to the Urban Mobility National Policy (UMNP), Brazilian cities with more than 20,000 inhabitants are obligated to elaborate Urban Mobility Plans (UMPs). The literature shows a lack of national research on urban freight planning and a need for better understanding issues on cargo transportation for authorities, especially regarding decision-making on policies and on urban freight transportation planning. City Logistics solutions can be considered on UMPs to reduce the problematic urban freight transport. Therefore, a survey was applied to investigate the resources available within cities to draw UMPs, the solutions for cargo movement in Brazilian cities, and the perceptions of public managers about freight transportation. The results show that “restrictions” are the solutions most adopted by Brazilian authorities, including the representative sample for cities within the São Paulo State with more than 250,000 inhabitants. The conclusions point out that Brazilian cities are not prepared to develop an efficient urban freight plan, as public managers seem to be unconscious about urban logistics demands within their cities or have neglected aspects regarding urban freight within the UMNP.


Author(s):  
Krisztina Bóna ◽  
Dávid Sárdi

Nowadays, urban freight traffic is causing significant noise and air pollution, so it is in the focus of green logistics developments, both in technology and system organization. Based on experiences within city logistics, significant problems are caused by the so-called concentrated sets of delivery points, where there are several delivery points with heavy freight traffic in a relatively small area. Since the summer of 2015, we collected lots of data about stores of these delivery points to support the modelling and the simulation of the new green solutions for the examined city logistics systems. Based on our results we can say, there are significant savings in these systems, so it is worth to deal with developing new, gateway-concept-based and consolidation-based solutions.


2022 ◽  
Vol 14 (1) ◽  
pp. 532
Author(s):  
Konstantina Katsela ◽  
Şeyma Güneş ◽  
Travis Fried ◽  
Anne Goodchild ◽  
Michael Browne

Urban freight distribution has confronted several challenges, including negative environmental, social, and economic impacts. Many city logistics initiatives that use the concept of Urban Consolidation Centers (UCCs) have failed. The failure of many UCCs does not mean that the idea of additional terminals or microhubs should be rejected. There is limited knowledge about the advantages and disadvantages of using microhubs, requiring further exploration of this concept. To expand this knowledge, this research combines 17 empirical cases from Europe and North America to develop a framework for classifying different microhubs typologies. This research presents an integrated view of the cases and develops a common language for understanding microhub typologies and definitions. The research proposes microhubs as an important opportunity to improve urban freight sustainability and efficiency and one possible step to manage the challenge of multi-sector collaboration.


Author(s):  
Thales Stevan Guedes Furquim ◽  
Renata Lúcia Magalhães de Oliveira ◽  
José Geraldo Vidal Vieira

Abstract The spatial differentiation of the main constraints and challenges on urban freight transportation can support more assertive public policies and measures, subsidizing city logistics solutions. This paper presents the use of spatial analysis to characterize retailers and carriers’ perceptions on the most important constraints and challenges faced during the urban freight delivery in the central area of Sorocaba/SP. To identify possible clustered patterns concerning problems and solutions from the stakeholders’ viewpoint, the data were analyzed through two spatial techniques: Average Nearest Neighbors and Getis Gi Ord* Hot Spots analysis. These two methodological approaches provide a spatial concentration analysis. As a result, we determined the spatial patterns of stakeholders’ perception for the two groups of variables assessed: (i) the Northwestern portion of Sorocaba’s central area is not prepared to receive the demands of vehicles, and the stakeholders present restrictions related to off-peak deliveries; (ii) the Northeastern region has the greatest negative perception regarding the assessed attributes, and shows little evidence that the loading and unloading space is not appropriate.


2010 ◽  
Vol 2 (3) ◽  
pp. 6165-6176 ◽  
Author(s):  
Jesús Muñuzuri ◽  
J.H.R. van Duin ◽  
Alejandro Escudero

Author(s):  
Agnivesh Pani ◽  
Prasanta K. Sahu

Freight demand models typically employ a priori classification systems for dividing establishments into hypothetically complementary groups with homogeneous patterns in freight production (FP) and freight trip production (FTP). Although an attractive and popular notion, the assumption of homogeneity within these a priori industrial classes is reductive in nature and is not yet tested in literature. This research examines this hypothesis and explores the possibility of a data-driven segmentation by examining the relationships between FP/FTP patterns and prevalent a priori classes; subsequently, it creates homogeneous ensembles of a posteriori segments through aggregation. This research labels, explains, and interprets these novel segments using commodity value density of industrial classes. The alternate segmentation schemes are compared in their ability to predict FP and FTP and it is found that: (i) industrial classification systems (NAICS, ISIC) perform significantly better than product classification systems (ASICC); (ii) a considerable portion of variability in FTP does not depend on employment predictor due to the underlying influence of shipment size; (iii) an a posteriori segmentation scheme considering shipment size may represent an effective middle ground for developing both FP and FTP models in freight demand model systems. Adoption of these novel segments of the freight travel market has the potential to reduce the sample size requirements of freight demand model systems and minimize the financial necessities for future freight surveys.


Sign in / Sign up

Export Citation Format

Share Document