Population distribution has a huge influence on the development of port economic circle (PEC) in Ningbo. Residential satisfaction is one of key elements that determine housing location choice and, thus, the success of population distribution policy. To provide suggestions for the development of PEC, this study conducted a survey to investigate residential satisfaction and related factors in 11 port communities, which are located in the harbour area of Beilun, Zhenhai and Meishan in Ningbo. A total of 403 valid samples were collected through face-to-face interviews. The Likert scale was used to express satisfaction levels, with the highest level of 5 and the lowest level of 1. The survey data indicate that the mean value of residential satisfaction is 3.41, 3.40 and 3.49 in Beilun, Zhenhai and Meishan, respectively. Middle level residential satisfaction is noted in the port communities of Ningbo. A linear regression was performed to analyse the relationship between residential satisfaction and influence factors in terms of the demographic and socioeconomic features of the respondents and attributes of the house and neighbourhood. The results of the regression analysis show that household income, design of housing, type of community, population density and distance to the district commercial centre are the most influential factors of residential satisfaction. The findings suggest making regulations to enforce the design standards of new buildings. Moreover, measures to improve the accessibility and quality of public facilities and services in the communities should be encouraged to increase the attractiveness of neighbourhoods in the port area. Promoting land use with mixed commercial and residential functions is also suggested for the development of PEC.
The present paper highlights a quantitative method to maximize energy efficiency based on the minimum energy consumption and maximum quality of life from consumption behaviors. Quality of life is expressed by utility, which is a Constant Elasticity of Substitution (CES) function of demands for composite goods, car trips and public transport trips. Individual energy consumption is estimated by the demand of goods and we applied this method to Nagasaki to evaluate energy efficiency. Our results showed that 28,154 kcal of energy is needed to support the life of one individual per day in Nagasaki. Furthermore, we found that 76% of energy was used for composite goods and 24% was used for mobility goods. To achieve maximum energy efficiency, our results highlight that energy should be reduced by increasing the consumption of composite goods and public transport trips, while simultaneously decreasing the consumption of car trips. Compared to residents in urban and suburban areas, individuals in Central Business Districts (CBD) were found to have higher energy efficiency. Findings in Nagasaki suggest three policy implications: First, eco-energy consumption patterns should be encouraged to decrease energy use, while maintaining quality of life. Second, mixed land use is attributed to increased energy efficiency. Lastly, the energy efficiency of mobility could be improved though increasing the attraction of public transport.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.