Most existing studies empirically investigated the impact of rail transit on housing prices using the traditional hedonic price model, which is based on ordinary least squares (OLS). This method can estimate only the average implicit prices of housing characteristics and may ignore possible heterogeneous impacts of rail transit at different housing price levels. As a useful supplement to OLS regression, quantile regression can measure how implicit prices of explanatory variables vary across different price levels, thereby providing a comprehensive picture of the relationship between housing characteristics and prices. By using Hangzhou, China as an example, this study adopts the traditional hedonic price model and quantile regression model to investigate the capitalization effect of a new subway line on housing prices. Empirical results suggest the significant impacts of accessibility to subway stations. The average housing price within 2 km of the station is 2.1% to 6.1% higher than those outside. We also find that the impacts of the subway differ significantly across the distribution of housing prices, wherein the absolute value of estimated coefficients increased from 0.023 for the 15th quantile to 0.086 for the 95th quantile. The subway opening strengthens the capitalization effect of traffic accessibility. The absolute value of price elasticity increases from 0.044 to 0.053, and the range of influence is expanded from 1500 m to 2000 m.

This article carries out a meta-analysis on empirical studies addressing cluster–innovation relationships since the 1980s. The results show that (1) clusters have positive effects on innovation; (2) different studies demonstrate heterogeneity in the estimated effect sizes; (3) several moderators are shaping the cluster–innovation relationship, for example, in what industries the cluster specializes, in which geographical region the cluster is located, and so on. This article reveals the cluster–innovation relationships are state-contingent and provides guidance on evaluating whether a cluster strategy can encourage innovation in a specific region. For example, the regression result indicates initiating a manufacturing cluster in a US region is expected to bring about fifteen more patents every year.

Since the establishment of the People’s Republic of China in 1949, China’s urban development policies have experienced dramatic changes, from anti-urbanisation before 1978, to anti-large-city-development during 1978–1999 and coordinated urbanisation in 2000–2012. Using city-level data from 1949 to 2012, this paper examines China’s development policies and city size distribution. Evidenced by the Zipf coefficient, we found that China’s city sizes became more evenly distributed before 2000, and this pattern was reversed after 2000. These findings suggest that China’s urban system is strongly affected by its shifting urban development strategies.

Problem, research strategy, and findings: We conduct a systematic reading of all articles published in the past 30 years in three U.S.-based general planning journals, Journal of the American Planning Association (JAPA), Journal of Planning Education and Research (JPER), and Journal of Planning Literature (JPL), using latent Dirichlet allocation, a text mining technique. We find that certain research themes remain important in the past 3 decades, such as planning process, planning methods, and land use/growth management, whereas others have lost their prominent status, such as planning theory and planning education. New fields such as food systems have emerged during the study period. Editorial regimes appear to be associated with theme dynamics. Takeaway for practice: In this study we demonstrate a text mining method to effectively summarize a large amount of text data and track planning researchers’ footsteps in the study of planning issues reflected from published research articles. We identify past and emerging research trends in the studied journals that can help scholars situate their work in the literature and practitioners find collaboration opportunities. It also helps professional associations such as the American Collegiate Schools of Planning (ACSP) and the APA open up new conference tracks and/or specialization groups/divisions so they can reflect the ever-changing interests of their memberships in a timely manner.