A framework for involving the young generation in transportation planning using social media and crowd sourcing
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DOI: 10.1016/j.tranpol.2020.06.006
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Cited by:
- Carl A. Smith, 2022. "Community Drawing and Storytelling to Understand the Place Experience of Walking and Cycling in Dushanbe, Tajikistan," Land, MDPI, vol. 12(1), pages 1-23, December.
- Ying Lian & Xiaofeng Lin & Xuefan Dong & Shengjie Hou, 2022. "A Normalized Rich-Club Connectivity-Based Strategy for Keyword Selection in Social Media Analysis," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
- Luo, Shuli & He, Sylvia Y. & Grant-Muller, Susan & Song, Linqi, 2023. "Influential factors in customer satisfaction of transit services: Using crowdsourced data to capture the heterogeneity across individuals, space and time," Transport Policy, Elsevier, vol. 131(C), pages 173-183.
- Bo Zhang & Yang Song & Dingyi Liu & Zhongzhong Zeng & Shuying Guo & Qiuyi Yang & Yuhan Wen & Wenji Wang & Xiwei Shen, 2023. "Descriptive and Network Post-Occupancy Evaluation of the Urban Public Space through Social Media: A Case Study of Bryant Park, NY," Land, MDPI, vol. 12(7), pages 1-17, July.
- Shaojie Liu & Jing Teng & Yue Gong, 2020. "Extraction Method and Integration Framework for Perception Features of Public Opinion in Transportation," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
- El Bachir Diop & Jérôme Chenal & Stéphane Cédric Koumetio Tekouabou & Rida Azmi, 2022. "Crowdsourcing Public Engagement for Urban Planning in the Global South: Methods, Challenges and Suggestions for Future Research," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
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Keywords
Social media; Crowd sourcing; Public participation; Sustainable transportation; Text mining; Analytic hierarchy process (AHP);All these keywords.
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