Urban Nighttime Leisure Space Mapping with Nighttime Light Images and POI Data

Jiping Liu,Qingyun Du,Yong Wang,Fu Ren,Yue Deng,Haosheng Huang

doi:10.3390/rs12030541

Jiping Liu, Qingyun Du + Show 4 more

Open Access

https://doi.org/10.3390/rs12030541

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Abstract

Urban nighttime leisure spaces (UNLSs), important urban sites of nighttime economic activity, have created enormous economic and social benefits. Both the physical features (e.g., location, shape, and area) and the social functions (e.g., commercial streets, office buildings, and entertainment venues) of UNLSs are important in UNLS mapping. However, most studies rely solely on census data or nighttime light (NTL) images to map the physical features of UNLSs, which limits UNLS mapping, and few studies perform UNLS mapping from a social function perspective. Point-of-interest (POI) data, which can reflect social activity functions, are needed. As a result, a novel methodological UNLS mapping framework, that integrates NTL images and POI data is required. Consequently, we first extracted high-NTL intensity and high-POI density areas from composite data as areas with high nightlife activity levels. Then, the POI data were analyzed to identify the social functions of leisure spaces revealing that nighttime leisure activities are not abundant in Beijing overall, the total UNLS area in Beijing is 31.08 km2, which accounts for only 0.2% of the total area of Beijing. In addition, the nightlife activities in the central urban area are more abundant than those in the suburbs. The main urban area has the largest UNLS area. Compared with the nightlife landmarks in Beijing established by the government, our results provide more details on the spatial pattern of nighttime leisure activities throughout the city. Our study aims to provide new insights into how multisource data can be leveraged for UNLS mapping to enable researchers to broaden their study scope. This investigation can also help government departments better understand the local nightlife situation to rationally formulate planning and adjustment measures.

Highlights

Leisure is defined as activity engaged in during free time [1,2]; according to the Athens Charter, in addition to dwelling, work, transportation, and leisure representing one of the four basic functions of a city [3,4,5]
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Summary

Introduction

Leisure is defined as activity engaged in during free time [1,2]; according to the Athens Charter, in addition to dwelling, work, transportation, and leisure representing one of the four basic functions of a city [3,4,5]. UNLSs, referring to the spaces where urban residents engage in leisure activities between 6:00 P.M. and 6:00 A.M., have wide-ranging impacts on urban economic growth [16], employment [17], urban competitiveness [18], urban vitality [19], and social justice [20,21]; UNLS is considered one of the key countermeasures to activate the urban economy; and falls under the scope of this paper [22]. A UNLS map can indicate the socioeconomic activities that are carried out in different urban nighttime areas. Conducting UNLS mapping at different spatial resolutions using geographical big data as an alternative to traditional social census data is an important and challenging task for the academic community [24,25]

Results

Discussion

Conclusion