{"title":"Identification of Strategic Planning Factors to Achieve Smart Mobility for New Cities in Developing Countries Using CIB Method","authors":"Raya Fadel, S. Abu-Eisheh","doi":"10.1109/ICETSIS61505.2024.10459709","DOIUrl":null,"url":null,"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.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETSIS61505.2024.10459709","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.