scholarly journals Human Dimensions Approach towards Integrating Sustainable Transportation and Urban Planning Policies: A Decision Support System (DSS) Based on Stated Preferences Data

2017 ◽  
Vol 07 (04) ◽  
pp. 814-833
Author(s):  
Wolfgang Rid
2020 ◽  
pp. 149-172
Author(s):  
Bharath H. Aithal ◽  
T. V. Ramachandra ◽  
M. C. Chandan ◽  
G. Nimish ◽  
S. Vinay ◽  
...  

2020 ◽  
Vol 31 (3) ◽  
pp. 78
Author(s):  
Hussein Ali Salih ◽  
Ahmed Shihab Ahmed ◽  
Jalal Qais Jameel

This article depicts a decision support system (DSS) devoted to the coordinated administration of urban frameworks. This framework defines the information and related treatments normal to a few civil managers and characterizes the necessities and functionalities of the PC devices created to enhance the conveyance, execution, and coordination of metropolitan administrations to the populace. The cooperative framework called Decision Support System for Urban Planning (DSS-UP) is made out of a universal planning and coordination framework. So, it helps the decision-making process, a DSS was created as a learning-based framework gave derivation components that empower urban architect to settle on key decisions as far as specialized meditations on civil foundations. The learning-based framework stores experts_ information and additionally answers for past issues. Preparatory execution comes about demonstrate that DSS-UP viably and effectively underpins the decision-making process identified with overseeing urban foundations by using K-means++ data mining algorithm.


Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 78
Author(s):  
Ke Wang ◽  
Jianjun Zhang ◽  
Di Zhang ◽  
Xia Wu

With the rapid development of China’s economy, alleviating the shortage of land resources has become a significant challenge. Transportation infrastructure is a channel connecting cities, which carries the flow of population and material circulation. The efficient allocation of land used for transportation is closely related to production and life. By investigating the main factors affecting the priority of the supply of land used for transportation, this paper evaluates the transportation condition of all cities in China from five aspects: dominance, dependence, coordination, accessibility, and land demand for transportation. Furthermore, this paper constructs a multi-objective decision support system for land supply, which aims to find out which cities are in urgent need of the supply of land for transportation and what types of transportation infrastructure need to be focused on. The results of this paper show that most of the cities with high land supply priority are non-provincial capital cities and are important growth poles of regional economic development. The construction of a comprehensive transportation system is the short-term goal of these cities. Most cities with low land supply priority are sparsely populated, in good ecological condition, and far away from the core areas of economic development. The preferred transportation mode of these cities is generally land transportation. The main contribution of this paper is to provide a comprehensive decision support system for the land management department to determine land supply priorities and achieve the sustainable use of land.


2021 ◽  
Vol 13 (10) ◽  
pp. 5453
Author(s):  
Jawad Haqbeen ◽  
Sofia Sahab ◽  
Takayuki Ito ◽  
Paola Rizzi

Planning a city is a systematic process that includes time, space, and groups of people who must communicate. However, due to security problems in such war-ravaged countries as Afghanistan, the traditional forms of public participation in the planning process are untenable. In particular, due to gathering space difficulties and culture issues in Afghanistan, women and religious minorities are restricted from joining male-dominated powerholders’ face-to-face meetings which are nearly always held in fixed places called masjids (religious buildings). Furthermore, conducting such discussions with human facilitation biases the generation of citizen decisions that stimulates an atmosphere of confrontation, causing another decision problem for urban policy-making institutions. Therefore, it is critical to find approaches that not only securely revolutionize participative processes but also provide meaningful and equal public consultation to support interactions among stakeholders to solve their shared problems together. Toward this end, we propose a joint research program, namely, crowd-based communicative and deliberative e-planning (CCDP), a blended approach, which is a mixture of using an artificial-intelligence-led technology, decision-support system called D-Agree and experimental participatory planning in Kabul, Afghanistan. For the sake of real-world implementation, Nagoya Institute of Technology (Japan) and Kabul Municipality (Afghanistan) have formed a novel developed and developing world partnership by using our proposed methodology as an emerging-deliberation mechanism to reframe public participation in urban planning processes. In the proposed program, Kabul municipality agreed to use our methodology when Kabul city needs to make a plan with people. This digital field study presents the first practical example of using online decision support systems in the context of the neighborhood functions of Gozars, which are Kabul’s social and spatial urban units. The main objective was to harness the wisdom of the crowd to innovative suggestions for helping policymakers making strategic development plans for Gozars using open call ideas, and for responding to equal participation and consultation needs, specifically for women and minorities. This article presents valuable insights into the benefits of this combined approach as blended experience for societies and cities that are suffering long-term distress. This initiative has influenced other local Afghan governments, including the cities of Kandahar and Herat as well as the country’s central government’s ministry of urban planning and land, which has officially expressed its intention to collaborate with us.


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