Abstract
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.
Highlights
As urbanization increases, the levels of logistic activities are enhanced to meet the demand for consumption, mainly in the central areas of the cities
In this paper, we propose the identification of locational patterns regarding the perception of retailers and carriers about the main constraints and logistical challenges in the central area of Sorocaba through the use of spatial analysis techniques
The spatial analysis was structured to determine the subareas with homogeneity regarding the attributes and factors that reflect the actors' opinions about constraints and logistics challenges within the study area (Furquim et al, 2018)
Summary
The levels of logistic activities are enhanced to meet the demand for consumption, mainly in the central areas of the cities. Prata et al (2012) list some problems, as a result of the urban goods distribution (UGD), namely: (i) increased traffic; (ii) vehicle traffic in areas with inadequate road geometry and structure; (iii) impairment of pedestrian safety; (iv) noise and environmental pollution, through the emission of pollutants from the burning of fossil fuels; and (v) inefficiencies for all actors involved in deliveries. To mitigate these problems, load distribution systems must evolve to comprehend the interdependence between urban freight distribution and city economy (Betanzo-Quezada et al, 2015). Significant local restrictions, such as the existence of traffic windows for certain types of vehicles, restrictions on infrastructure, loading and unloading restrictions for certain types of vehicles (capacity of parking spaces) and restriction on unloading for certain types of vehicles based on the time at which the unloading is still happening (Iwan et al, 2018; Taniguchi et al, 1999)
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