Optimizing Strategy Of Living Street Space In Old Urban Areas Under The Concept Of Old-age Friendliness

As the main place for the elderly to live their daily lives,outdoor activities and travel,the motor vehicle-driven transportation development model at the beginning of urban construction has restricted the behavior of pedestrians,especially the elderly,and neglected the travel needs of the elderly.As the main mode of travel for the elderly,walking needs of the elderly are gradually gaining attention in the context of the severe population aging,the advocacy of the global age-friendly city movement and the urgent need to renew and improve the streets in old urban areas.In the era of emphasizing high quality and humanization,it is urgent to establish streets that meet the walking needs of the elderly.The current research on the needs of the elderly is mainly based on Maslow’s needs,which summarizes the needs of the elderly from the physiological requirements and psychological behavior characteristics,and needs further improvement in the ranking of needs.The current demand ranking tool is based on KANO model,which is based on the relationship between product performance and user satisfaction,and categorizes user needs into essential needs,expected needs,charming needs,undifferentiated needs and reverse needs,emphasizing that the product gives priority to meet the essential needs,expected needs and charming needs of users.Based on this,this study uses the theoretical method of KANO model to rank the improvement priority of elderly people’s needs and propose a spatial optimization strategy based on their walking needs.Based on the physical function,walking motivation and street attractiveness of the elderly,we firstly summarized the walking needs of the elderly and compiled 30 environmental elements.The KANO classification of the needs of the elderly was obtained,and the spatial elements of the streets were classified into essential needs,desired needs and attractive needs,and then practical strategies and planning suggestions were proposed for the optimization of the street environment.Finally,the empirical part takes Zengguang Road in Beijing as an example,uses IPA method to analyze the current satisfaction and perceived satisfaction of Zengguang Road,integrates the analysis results of KANO-IPA model,establishes the ranking reference criteria for upgrading the order priority,and proposes the optimization strategy of streets in the old city to solve the problem of optimizing street elements in the context of urban renewal.Chapter 1 is the introductory section,which describes the research background of this study,presents this research problem and composes the research object and research framework.The second chapter is the theoretical foundation,which reviews the literature on urban environment aging,lifestyle streets,the needs of the elderly and the progress of research methods,and presents the shortcomings of current research to provide a theoretical basis for the study.The third chapter is the correlation analysis.The first chapter summarizes the environmental characteristics and current problems of streets in the old city,then summarizes the travel needs and 30 environmental elements according to the travel characteristics of the elderly,and then obtains the evaluation data of the elderly on each environmental element through a questionnaire survey,and analyzes the street elements that are classified as essential needs,desired needs and charming needs through the KANO model.Chapter 4 is the planning strategy.Based on the street elements mentioned in Chapter 4,we explore the optimization strategies of the living streets in the old city in four dimensions:safety of the street space,diversity of the service facilities,livability of the environmental design and humanism of the environmental atmosphere.The current conditions and problems faced by Zengguang Road in Beijing are combined with examples to verify and propose planning strategies.Chapter 6: Conclusion and outlook.The research ideas,research methods and strategic countermeasures of this study are summarized,and the shortcomings of this study are proposed in the hope that they will be improved in the future research.