Shu-Ning Fu

This study focuses on the equity of spatial layout for public service facilities targeting different age groups and proposes a systematic analytical approach. The method mainly includes the following steps: (1) collecting spatial distribution data of population and various types of public service facilities for each age group; (2) establishing demand matrices for different groups regarding different types of public service facilities and calculating supply-demand density; (3) calculating the level of public service accessibility for different population groups at any spatial location; (4) introducing the Gini coefficient to assess the spatial equity of public service accessibility for different age groups; (5) evaluating whether the Gini coefficient meets the planning objectives and identifying areas with inadequate public service accessibility for optimization of facility layout. Choosing Hongkou District in Shanghai as a case study, the analysis process and results indicate the technical feasibility of the proposed method and its supportive role in public service facility planning. Furthermore, the article discusses the importance of a systematic analysis perspective, the applicability of the methodology in planning decisions, and the enhancement of facility supply levels in weak areas.

Regional transportation integration is a key aspect in promoting regional integration and high-quality economic development, as it can improve inter-regional connectivity, decrease transportation costs, and facilitate the flow of labor, capital, technology, and data. However, regional transportation integration is also difficult to quantitatively evaluate, causing difficulties in comprehensively understanding the specific transportation–economic relationships for different regions that are planned for integration. This article studied 41 cities in the Yangtze River Delta, which is known as the largest regional integration project in China. Two sets of index systems were created to quantitatively evaluate regional transportation integration and high-quality economic development. Coupling coordination degree analysis was then performed to investigate the relationship between the two systems. It was found that areas with a high degree of coupling coordination are located in the Z-shaped belt with the Shanghai–Nanjing–Hefei and Shanghai–Hangzhou–Ningbo urban agglomerations. Furthermore, specific developmental gaps between regional transportation integration and high-quality economic development were identified and mapped, showing areas with transportation development falling behind economic development and vice versa. Based on these findings, a number of policy suggestions are provided from the perspective of province and regional development. It is recommended to continue to invest in transportation development and integration in the well-coordinated Z-shaped region and areas with transportation development falling behind economic development, while it is not recommended to use transportation investment to solve economic problems for those under-developed regions that already have relatively advanced transportation than economic development.