Survey Method for Resident Travel Behavior: Analysis of Traditional and Modern Technological Methods
		
			
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		DOI: 10.25236/semihs.2024.025
		
			Author(s)
			Xin Gao, Jun Cai
		 
		
			
Corresponding Author
			Jun Cai		
		
			
Abstract
			The resident travel habit survey is critical for transportation planning and policymaking. This article examines the benefits and drawbacks of old survey techniques vs current technologies. Traditional questionnaire and interview survey techniques offer depth and flexibility, but they confront constraints such as low data accuracy, high costs, severe sample bias, and design limits. Modern big data technologies, including as mobile signals, social media, and transportation system recording, have greatly expanded the breadth and efficiency of data collecting, but they are also limited by privacy concerns, data acquisition issues, and processing complexity. The video capturing technique in public spaces has significant promise in smart city building because to its privacy protection, impartiality, economy, and adaptability. Researchers may better assess people' travel behavior by optimizing technology and increasing policy standards, so enhancing the scientific process of traffic management and urban development.		
		
			
Keywords
			Resident travel; Behavioral investigation methods; Traditional and modern technologies; Limitations analysis