Please login first
Qiang Li      
Timeline See timeline
Qiang Li published an article in January 2018.
Top co-authors See all
Jin Chen

123 shared publications

State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

Yoshitsugu Hayashi

70 shared publications

Graduate School of Environmental Study, Nagoya University, Nagoya, Japan

Yunjing Wang

6 shared publications

State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China; s:(Y.W.);(Y.R.) ;(X.W.)

Xuemin Liu

3 shared publications

College of Resource Science and Technology, Beijing Normal University

Jing Guo

1 shared publications

College of Resources Sciences & Technology, Beijing Normal University, No. 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China

Publication Record
Distribution of Articles published per year 
(2013 - 2018)
Total number of journals
published in
Publications See all
Article 1 Read 0 Citations 中国2000-2010年耕地低效转化的空间特征 冰琦 张, Zhang Bing-Qi, 静 郭, 溪 于, 强 李, 晋 陈, Guo Jing, Yu Xi, Li... Published: 01 January 2018
JOURNAL OF NATURAL RESOURCES, doi: 10.31497/zrzyxb.20170940
DOI See at publisher website
Article 0 Reads 6 Citations Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic Regression with Open Access POI Data Yixiong Xiao, Xiang Chen, Qiang Li, Xi Yu, Jin Chen, Jing Gu... Published: 15 November 2017
ISPRS International Journal of Geo-Information, doi: 10.3390/ijgi6110358
DOI See at publisher website ABS Show/hide abstract
The housing market in Chinese metropolises have become inflated significantly over the last decade. In addition to an economic upturn and housing policies that have potentially fueled the real estate bubble, factors that have contributed to the spatial heterogeneity of housing prices can be dictated by the amenity value in the proximity of communities, such as accessibility to business centers and transportation hubs. In the past, scholars have employed the hedonic pricing model to quantify the amenity value in relation to structural, locational, and environmental variables. These studies, however, are limited by two methodological obstacles that are relatively difficult to overcome. The first pertains to difficulty of data collection in regions where geospatial datasets are strictly controlled and limited. The second refers to the spatial autocorrelation effect inherent in the hedonic analysis. Using Beijing, China as a case study, we addressed these two issues by (1) collecting residential housing and urban amenity data in terms of Points of Interest (POIs) through web-crawling on open access platforms; and (2) eliminating the spatial autocorrelation effect using the Eigenvector Spatial Filtering (ESF) method. The results showed that the effects of nearby amenities on housing prices are mixed. In other words, while proximity to certain amenities, such as convenient parking, was positively correlated with housing prices, other amenity variables, such as supermarkets, showed negative correlations. This mixed finding is further discussed in relation to community planning strategies in Beijing. This paper provides an example of employing open access datasets to analyze the determinants of housing prices. Results derived from the model can offer insights into the reasons for housing segmentation in Chinese cities, eventually helping to formulate effective urban planning strategies and equitable housing policies.
Article 2 Reads 3 Citations A method characterizing urban expansion based on land cover map at 30 m resolution Xi Yu, Bingqi Zhang, Qiang Li, Jin Chen Published: 21 July 2016
Science China Earth Sciences, doi: 10.1007/s11430-016-5304-x
DOI See at publisher website
CONFERENCE-ARTICLE 8 Reads 0 Citations Study on the Smart Growth Resource-Based City in China: A Case Study of Renewing Cities Ruiyin Dou, Xuemin Liu, Qiang Li Published: 09 June 2015
Proceedings of 8th Conference of the International Forum on Urbanism (IFoU), doi: 10.3390/ifou-A003
DOI See at publisher website ABS Show/hide abstract

The resource-based city shows a gradually decline behind the external prosperity in China. It has been identified that there were 262 resource-based cities in China . According to the different stages of developmentthe, the resource-based cities were divided into four types: growing, maturing, exhausting and renewing. Currently, 23 of them which have entered the exhausted post-transition phase of resource were called renewing cities. Thus, the focus of this paper is on the smart growth of renewing cities, whose core elements can be extracted from the essential characteristics showed in the process. Based on the thought of “smart growth” and aspects of “moderate exploitation”, “green ecology” and “social comfort”, the analytic framework of "smart growth", with 9 goals and 40 sets of variables relationships established, is formed. According to the statistical description and analysis of the existing data, in 40 sets of variables, there are 22 sets in line with the "smart growth" requirements; while 15 sets not ; and another 3 sets can not be judged. Finally, based on the results of the analysis, the path of “smart growth” for renewing city can be explained from aspects of city infrastructure supply, land development and utilization, energy saving and emission reduction, environmental protection and city agglomeration promotion, which are the key ares that government should focus on as well.

CONFERENCE-ARTICLE 7 Reads 0 Citations Urban Density, Accessibility and Energy Consumption in the Transport Sector: Analysis of 30 Cities in China Jing Guo, Jing Zhang, Qiang Li, Xuemin Liu Published: 08 June 2015
Proceedings of 8th Conference of the International Forum on Urbanism (IFoU), doi: 10.3390/ifou-E002
DOI See at publisher website ABS Show/hide abstract

The growth and diversification of transport demand accompanied with social and economic development led to increasing energy consumption in transport sector. In order to find a way that can not only contribute to reducing transportation energy consumption but also fully meet the transport demand, the research firstly formulated three indicators. Urban density implies population size and intensity of social and economic activities that is related to transport demand. Accessibility is defined by per capita road area and average bus numbers of ten thousand people and reflects transport conditions of private and public traffic. Per capita energy consumption in transport sector was used to characterize environmental effects. The data of urban density and accessibility was collected from the National Statistical Yearbook, while the data of transport energy consumption was obtained by conversion of DMSP/OLS (Defense Meteorological Satellite Program/Operational Lines-can System) night lighting data which is a sign of human activity. Secondly, considering the different levels of transport infrastructure and economic development in different regions of China, only 30 provincial capital cities were selected to analyze the relationships of the three indicators mentioned above. Based on relationship analysis, 30 cities were divided into three patterns. It was founded that the first pattern would be optimal because of a good match of transport demand and supply coupled with low energy consumption. The second pattern is non-ideal, since it is at high level of energy consumption and less balanced between transport demand and supply. The third pattern should improve accessibility and reduce energy consumption. Finally, some suggestions about urban transport development that are suitable to local conditions were proposed for different urban patterns.

Article 0 Reads 3 Citations Logistical routing of park tours with waiting times: case of Beijing Zoo Haiying Xu, Qiang Li, Xiang Chen, Jin Chen, Jingting Guo, Yu... Published: 30 January 2015
Tourism Geographies, doi: 10.1080/14616688.2014.997281
DOI See at publisher website