【摘要】 空间与制度联系的强弱愈发凸显区域一体化的成效。基于粤港澳层面近5000万人次的位置服务大数据，测算通勤率、通勤时间与通勤网络社群结构，并结合多维制度联系与跨界合作特征，探究深圳、香港及其邻近区域形成“深港都市圈”的可能趋势。空间联系的分析发现，通勤率指向的都市圈范围延伸至中心核的邻近区域；1小时小汽车通勤范围覆盖深圳、香港、东莞大部以及惠州临深片区；通勤网络方法检测到深、港、莞、惠的一体化社群。在制度联系维度上，深港两地在上级政府驱动与本级政府自发的共同作用下，开展了长期向纵深处发展的跨界合作，进一步强化了空间联系。基于此，将该地域设想为“深港都市圈”。而这一设想能否真正落地，将依赖于由两地行政长官推动的更高等级、更广领域、更深层次的跨界跨制度的区域一体化举措。更多还原

【Abstract】 Both spatial and institutional connections are key indicators to the regional integration in metropolitan areas. Leveraging location-based service big data of about 50 million commuters in the Guangdong-Hong Kong-Macao area, this study measures three indices(commuting rates, commuting time, and commuting network community) and traces related institutional cooperation. The spatial analysis indicates that commuting rates point to a boundary only expanding to nearby areas of the central core. The one-hour commuting boundary by car covers bigger surrounding areas. The community detection algorithm yields a computation boundary composed of Shenzhen, Hong Kong, Dongguan, and Huizhou city clusters. When zooming into institutional connections, the multilevel cross-border cooperation is found to heavily and positively affect the formation of this metropolitan region. These two methods confirm the “Shenzhen-Hong Kong Metropolitan Area” hypothesis including Shenzhen, Hong Kong, and their adjacent areas. However, higher-rank, broader-dimension, and deeper-level cooperation promoted by their Chief Executives is in a lasting need to move this vision from regime to landscape.更多还原