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EN
Surat is one of the major textile manufacturing hubs in India, having 40% of the synthetic fabric produced in the country. The textile industry in the city has witnessed tremendous growth in the last decade, leading to many transportation-related changes within it. Textile manufacturing has different phases like weaving, processing, value addition and trading or distribution. These phases are located as clusters or pockets in different parts of the city. The scattered nature of the industry generates numerous freight trips. This study focuses on characterizing and estimating textile freight trips in the city. Establishment survey data was collected from production units located in various clusters. A multi-linear regression model for freight trips generated using the quantity of cloth produced was developed for the estimation of the total textile freight trips. Thus, this study will help the planner identify the strategic location of the textile and its allied industries as well as for freight infrastructure in the city. More so, it would help in understanding the impacts of textile freight movement on the city’s overall traffic.
2
Content available An advanced planner for urban freight delivering
EN
The paper aims at introducing an advanced delivery tour planner to support operators in urban delivery operations through a combined approach which chooses delivery bays and delivery time windows while optimizing the delivery routes. After a literature review on tools for the management and the control of the delivery system implemented for optimizing the usage of on-street delivery bays, a prototypical tour delivery planner is described. The tool allows transport and logistics operators to book the delivery bays and to have real-time suggestions on the delivery tour to follow, through the minimization of the total delivery time. Currently, at development phase, the tool has been tested in a target zone, considering the road network and time/city delivering constraints and real-time data about vehicles location, traffic and delivery bay availability. The tool identifies the possible tours based on the delivery preferences, ranks the possible solutions according to the total route time based on information on the road network (i.e. travel time forecasts), performs a further optimization to reduce the total travel times and presents the user the best alternative along with the indications of which delivery bay to use in each delivery stop. The developed prototype is composed by two main parts: a web application that manages communication between the database and the road network simulation, and, an Android mobile App that supports transport and logistic operators in managing their delivering, pre trip and en route, showing and updating routing based on real-time information.
EN
This paper aimed to show that planner-led UCC solutions are untenable in the modern liberal economy. Our analysis suggests that the top down imposition of a Ur-ban Consolidation Centre (UCC) works only in clearly controlled domains. We have studied urban freight concepts and practice and it is our contention that most UCC initia-tives fail in a liberal economy where free choice and market economics apply. In under-pinning this contention we have compiled, analysed and categorised a set of the UCC schemes known to have operated, left evidence of their existence, and been captured by the research community. In this paper we present two case study examples that show that within the construction sector UCCs can be utilised successfully to create efficient and forward-thinking logistics operations. Whilst it might be true for the construction sector, we have not found evidence that it might be true for other sectors.
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