Exploring a Pricing Model for Urban Rental Houses from a Geographical Perspective

Models for estimating urban rental house prices in the real estate market continue to pose a challenging problem due to the insufficiency of algorithms and comprehensive perspectives. Existing rental house price models based on either the geographically weighted regression (GWR) or deep-learning methods can hardly predict very satisfactory prices, since the rental house prices involve both complicated nonlinear characteristics and spatial heterogeneity. The linear-based GWR model cannot characterize the nonlinear complexity of rental house prices, while existing deep-learning methods cannot explicitly model the spatial heterogeneity. This paper proposes a fully connected neural network–geographically weighted regression (FCNN–GWR) model that combines deep learning with GWR and can handle both of the problems above. In addition, when calculating the geographical location of a house, we propose a set of locational and neighborhood variables based on the quantities of nearby points of interests (POIs). Compared with traditional locational and neighborhood variables, the proposed “quantity-based” locational and neighborhood variables can cover more geographic objects and reflect the locational characteristics of a house from a comprehensive geographical perspective. Taking four major Chinese cities (Wuhan, Nanjing, Beijing, and Xi’an) as study areas, we compare the proposed method with other commonly used methods, and this paper presents a more precise estimation model for rental house prices. The method proposed in this paper may serve as a useful reference for individuals and enterprises in their transactions relevant to rental houses, and for the government in terms of the policies and positions of public rental housing.

Regional accents modulate perspective in geographical space

In this study, participants listened to first-person statements that mentioned a character who was approaching a geographical location close to (Tenerife, Canary Islands) or distant from the participant (Madrid, Spanish peninsula), pronounced with either the participants' local or a distal regional accent. Participants more often judged approaching statements as coherent when they refer to a close place pronounced with local accent or refer to a distant place with distal accent, rather than when they refer to a close place with distal accent or to a distant place with local accent. These results strongly suggest that the local accent induces listeners to keep their own geographical perspective, whereas the distal accent determines shifting to another’s perspective. In sum, a subtle paralinguistic cue, the speaker’s regional accent, modulates the participants’ geographic perspective when they listen to identical first-person sentences with approaching deictic verbs.

The geopolitics of militarism and humanitarianism

In this article, we trace the interconnections between humanitarianism and militarism. We highlight the significance of a geographical perspective in emphasizing the spatial and multiscalar dimensions of this changing relationship, particularly in Western states. In doing so, we reveal the violent geographies produced through militarized humanitarianism and demonstrate the ways political violence can be obscured through invocations of humanitarianism. We look at five overlapping lines of enquiry: the way humanitarianism is used to modulate war; the rationalization of military intervention as humanitarian; military deployment in response to humanitarian crises; the military take-up of humanitarian-style practices; and weapons development and humanitarianism.

The Four Axes of Palermo’s Commerce: a Geographical Perspective

Commercial dynamics within a city represent an excellent observatory desk to study urban transformation processes. These dynamics reflect the verticality and horizontality relational system, but also the exchanges and reciprocation of the cultural and socio-economic relations. From a geographical perspective it is interesting to detect cultural, social and economic changes both permanent and in evolution which constitute the urban pattern and shape its viability. This work originates in 2015 within the PRIN project (Relevant Interest National Project) “Commerce, consumption and the city: practices, planning and governance for urban inclusion, resilience and sustainability” which has studied some relevant commerce dynamics in Italian main cities. Here we focus on the case of Palermo, by analysing four important streets in the city center: via Maqueda, via Ruggero Settimo, viale della Libertà and via Lincoln. They represent significant cut outs of how consumers’ habits have developed in Palermo and have strongly characterized the present urban landscape by establishing a complex network of relations which shape the pattern of the city. By employing both a diacronical and synchronical approach, on one hand we analyse the evolution of the four axes. On the other hand, we illustrate the results of the research carried out by using questionnaires aimed to reveal the present conditions of the shops taking place through the business owners’ perception.