Urban Logistics in Historic Centers by Using of Multi-criteria Evaluationin the Geographical Information System in the City of Saqqez

Document Type : Research Paper

Authors

Department of Remote Sensing and Geographic Information System, Faculty of Planning and Environmental Science, University Tabriz, Tabriz, Iran

10.22059/jhgr.2024.365418.1008633

Abstract

ABSTRACT
This research aims to investigate the relationship between urban transportation and land use, texture, zoning and urban planning in order to create urban logistics strategies to help land use planning and organize logistics flows in the center of Saqqez city. This method is mainly based on the use of geographic information system, which is used to detect and accumulate cargo vehicles in the production centers of cargo trips in the central region of Saqqez city. Finally, it has been used as a factor to identify urban logistics strategies and criteria in order to improve urban logistics in Saqqez city. in addition, by using multi-criteria evaluation in geographic information system, it has been used to identify suitability map related to urban logistics activity and compatible with land use. Also, from the multi-criteria decision-making model (FUZZY AHP), the weight of the criteria and then the suitability map in the environment (ARC GIS) have been operationalized. However, the results of the final suitability based on the aggregation of the five policies indicate the suitability of the Eastern, Northern and southern towards the city center
 
Extended Abstract
Introduction
The logistics city brings a new concept in land use planning and management of urban logistics flows, solving problems related to the movement of urban goods, while seeking a balance between the required efficiency of urban transportation and existing social costs. The concept of urban logistics is defined as the process of complete optimization of logistics and transportation and the activity of private companies in the urban area due to the increase in traffic and fuel consumption in an economic market. The importance of logistics in Saqqez city reduces traffic in the city center, which has a high traffic level, as well as reducing traffic, more penetration, security, reducing transportation costs, timely distribution of goods, and reducing pollution. The purpose of this research is to conduct urban logistics based on multi-criteria evaluation (MCE) in the geographic information system environment for possible strategies to be applied in Saqqez city in order to control traffic and reduce traffic. It is also an examination of the relationship between logistics and form, texture, zoning, and land use. Finally, the question that the current research seeks to answer is, what strategy can be used to control these problems?
 
Methodology
The current research method is analytical-descriptive. The information layers of the detailed city plan have been prepared by Saqqez Municipality. And the data related to the unloading and loading places has been prepared by taking the coordinates of the points by GPS. In this way, based on the opinion of experts and opinion leaders, information criteria were weighted with the help of software using the process of hierarchical analysis. In order to measure the appropriateness of logistics, it was investigated using 18 criteria in the form of five policies. And the map related to each criterion was operationalized in the form of five policies in the ArcMap environment, and all the policies were overlapped and the suitability map was obtained. In order to investigate the relationship between urban logistics and zoning, land use, urban form and texture, as well as to validate and evaluate the sensitivity of the results of this research, use the maximum entropy model in 5 functions and 2500 repetitions for each relationship.
 
Results and discussion
Checking the situation of loading and unloading places: In order to check the situation of unloading and loading in Saqqez city, the transportation distance of these places with the geometric center of the city, the historical context of the city and also the places of demand. were analyzed through linear regression analysis. results show that there is a significant relationship between the distance from the date center and the distance from the geometric center with the place of demand.
Suitability of urban logistics
The policy of improving the level of access to unloading and loading elements: According to this policy, the maximum length of the network is related to the very high suitability class (71.885 meters in the entire main road network of Saqqez) and the lowest is related to the very low suitability class (1.667 meters in the entire main road network).
Policy to increase efficiency in final distribution: The results obtained from this policy, based on the fuzzification of the layers, the highest amount of network length corresponds to the high suitability class (44.915 meters in the entire main road network) and the lowest amount corresponds to the very low suitability class (3.780 meters in the entire main road network) Is.
The policy of reducing handling time: The results of the layers' fuzzification show that the highest amount of network length corresponds to the low suitability class (88.919 meters in the entire main road network of Saqqez city) and the lowest amount corresponds to the medium suitability class (13.278 meters in the entire main network) passages).
The policy of improving the level of access to facilities and basic equipment: The results of this policy show that the maximum length of the network is related to the high suitability class (66.322 meters in the entire main road network) and the lowest is related to the very low suitability class (2.364 meters in the entire main road network).
Policy to achieve sustainable logistics: Based on the results obtained from the fuzzy overlapping of the layers (parameters), the maximum length of the network corresponds to the medium fitness class (76.403 meters in the entire main road network) and the lowest value corresponds to the very low fitness class (9.189) meters in the entire main network of roads).
The overlap of the five policies: Based on the results obtained from the fuzzy overlapping of the layers for all parameters, the highest amount of network length corresponds to the high suitability class (71.106 meters in the entire main road network) and the lowest amount corresponds to the very low suitability class (7.586 meters in the entire network) main roads).
Investigating the relationship between logistics and zoning, land use, city form and texture:
Logistics and city zoning: Therefore, commercial areas, residential areas with low density and residential areas with medium density are considered as the most important factors affecting the existence of logistic optimal points, respectively.
Logistics and urban land use: Therefore, the commercial use of residential areas with low density, residential areas with medium density, green space, urban facilities and equipment, and education are the most important factors affecting the presence of logistics optimal points, respectively.
Logistics and urban form: Therefore, the planned urban form is more important than the organic urban form in the presence of optimal logistic points.
Logistics and urban Texture: Therefore, the effect of various types of urban textures on the presence of logistics optimal points is respectively related to compact texture, scattered texture and semi-compact texture.
 
Conclusion
The results of the final suitability based on the aggregation of the five policies show the suitability of the east, north and south towards the city center.
 
Funding
There is no funding support.
 
Authors’ Contribution
Authors contributed equally to the conceptualization and writing of the article. All of the authors approved thecontent of the manuscript and agreed on all aspects of the work declaration of competing interest none.
 
Conflict of Interest
Authors declared no conflict of interest.
 
Acknowledgments
 We are grateful to all the scientific consultants of this paper.

Keywords

Main Subjects

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Human Geography Research
Volume 57, Issue 2
August 2025
Pages 83-103

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