Identification of Strategic Planning Factors to Achieve Smart Mobility for New Cities in Developing Countries Using CIB Method

Raya Fadel, S. Abu-Eisheh
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Abstract

This research explores the application of the Cross-Impact Balances (CIB) method in identifying the factors that need to be included in the strategic planning process for the adoption of smart mobility solutions in new cities within developing countries. Smart mobility systems use emerging technologies to arrive at solutions to many of the mobility related problems that affect the urban environment by creating connected and sustainable transportation systems that can move people more efficiently and safely. The CIB method, known for its ability to assess interdependencies and uncertainties in complex systems, is employed as a decision support tool. The research investigates the descriptors influencing smart mobility success in developing cities, and found that relevant aspects such as infrastructure readiness, technological disparities, socio-economic dynamics, and regulatory environments. Factors like citizen engagement, strategic region, and sustainable mobility urban plans are high-priority factors, emphasizing community involvement and thoughtful planning. Medium-priority factors highlight the need for comprehensive infrastructure and strategic collaboration. Low-priority factors, that include employed population and political situation, are found to have a comparatively lesser impact. Based on the outcome of the CIB method, the paper recommends using the resulting high- and medium-priority factors for the preparation of the strategic planning framework (the goals, objectives, and broad strategies) to achieve the vision of establishing new cities that could be characterized to have smart mobility systems.
利用 CIB 方法确定发展中国家新城市实现智能交通的战略规划因素
本研究探讨了交叉影响平衡法(CIB)在确定发展中国家新城市采用智能交通解决方案的战略规划过程中需要考虑的因素方面的应用。智能交通系统利用新兴技术来解决影响城市环境的许多与交通相关的问题,创建互联和可持续的交通系统,更高效、更安全地运送人们。CIB 方法因其能够评估复杂系统中的相互依存关系和不确定性而闻名,被用作决策支持工具。研究调查了影响发展中城市智能交通成功的描述因素,发现相关方面包括基础设施准备、技术差异、社会经济动态和监管环境。市民参与、战略区域和可持续移动性城市规划等因素属于高优先级因素,强调社区参与和周到的规划。中优先级因素强调综合基础设施和战略合作的必要性。低优先级因素包括就业人口和政治局势,其影响相对较小。根据 CIB 方法的结果,本文建议在编制战略规划框架(目标、目的和总体战略)时使用所得出的高优先级和中优先级因素,以实现建立拥有智能交通系统的新型城市的愿景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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