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The aim of this paper is to investigate whether buyers and sellers appears to take distance to the capital business district (CBD) into account in their valuation for acquisition or disposition.

Under a mono‐centric model conceptualization, applicable to the central area of many European cities, location can be represented by distance to the city center. The effect of several distance measures on selling price is investigated for income properties with mixed residential and commercial components – geometric distances, driving distance and time, and time by subway. Exponential and multiplicative models are considered and estimated using a robust estimation method.

The findings indicate the mono‐centric model to be a useful conceptualization, that buyers and sellers of income properties do take distance into account, and that a number of buildings operate under a suboptimal split between residential and commercial components.

In social science even when a model shows good statistical fit, one will not know if it is correct, but only that it represents observed relationships well. Several models, however, may fit the data. The authors chose ones used by other researchers in similar investigations in past decades. Variable definition and measurement are always issues. In the present case “time by subway” is a mix of walking‐waiting‐riding and minutes in each activity would not be equivalent, involving inter‐personal comparisons of utility. The variable “effective age” based upon the assessment concept of “value year” may not fully capture age‐related effects on price.

The key implications are that the multiplicative model may well be a suitable functional form for these types of analyses and that robust methods are important to prevent outliers in the data from having an undue influence on the estimation.

The authors used robust estimation methods for the price models. The authors defined and studied a sub‐optimality ratio of residential area to commercial area in the mixed use buildings.

The purpose of this study is to compare the spatial distribution of Airbnb and hotels in London and examine the relationship between demographic, socioeconomic and environmental factors and the supply of these two types of lodging supply.

Local information of Airbnb listings in London was collected through Insideairbnb.com. Gathered data were examined using geo-spatial auto-correlation analysis and spatial econometric models.

The results indicate that Airbnb predominates in the areas around popular tourist attractions and the peripheral areas of the city, while in the downtown area Airbnb and hotels are in the state of coexistence. The mono-centric model and the agglomeration model could be extended to the context of peer-to-peer accommodation. The location of Airbnb and traditional hotels capitalizes on different factors.

The study is based on secondary data due to data availability. And, it is based on the case of London, so the findings may not reflect the situation of small cities and rural destinations.

This study not only gives suggestions for local councils to regulate the location of hotels and Airbnb but also provides professional landlords with reference to choosing Airbnb location.

This study extends the hotel location theoretical models into the context of Airbnb and sheds lights on the distinction between these two business models in terms of location factors.

爱彼迎和酒店的位置：空间分布和关系

本研究旨在比较伦敦Airbnb和酒店的空间分布, 并探讨人口、社会经济和环境因素与这两类住宿供给的关系。

伦敦Airbnb房源信息通过Insideairbnb.com网站收集, 采用地理空间自相关分析和空间经济计量模型进行分析。

结果表明Airbnb主要集中在旅游景点周边和城市周边地区, 在市中心地区, Airbnb与酒店处于共存状态。单中心模型和聚集模型适用于共享住宿情境。Airbnb和传统酒店的空间分布影响因素的重要性存在差异。

本研究将酒店区位理论模型扩展到Airbnb情境下, 并揭示了这两种商业模式在区位因素方面的区别。

本研究采用二手数据。案例地为伦敦, 因此研究结果可能无法反映小城市和乡村旅游目的地的情况。

地方政府应更加重视专业公司的劳动力保障并限制旅游景点周边的短期租赁。

Ubicación de los hoteles y preferencias: distribución espacial y relaciones

El propósito de este estudio es comparar la distribución espacial de Airbnb y los hoteles en Londres y examinar la relación entre los factores demográficos, socioeconómicos y ambientales y la oferta de estos dos tipos de oferta de alojamiento.

La información local de los anuncios de Airbnb en Londres se recopiló a través de Insideairbnb.com. Los datos recopilados se examinaron mediante análisis de autocorrelación geoespacial y modelos econométricos espaciales.

Los resultados indican que Airbnb predomina en las zonas aledañas a los atractivos turísticos populares y las zonas periféricas de la ciudad, mientras que en la zona centro Airbnb y los hoteles se encuentran en estado de convivencia. El modelo monocéntrico y el modelo de aglomeración podrían extenderse al contexto de la acomodación entre pares. La ubicación de Airbnb y los hoteles tradicionales se basa en diferentes factores.

Este estudio amplía los modelos teóricos de ubicación de hoteles en el contexto de Airbnb y arroja luz sobre la distinción entre estos dos modelos comerciales en términos de factores de ubicación.

El estudio se basa en datos secundarios debido a la disponibilidad de datos. Y se basa en el caso de Londres, por lo que los hallazgos pueden no reflejar la situación de las ciudades pequeñas y los destinos rurales.

Los hallazgos sugieren que las autoridades locales deberían prestar más atención a la seguridad laboral de las empresas profesionales y restringir los alquileres a corto plazo alrededor de las atracciones turísticas.

The purpose of this paper is to test whether the rail transit investment in Izmir, Turkey has had positive valuation impacts on the surrounding residential properties, and to estimate the value of travel time using relevant parameters.

The necessary data were collected via a survey including all real‐estate agents in the area. To test the research question, the Hedonic Price Model (HPM) is used as the research technique. The obtained parameters are also used to estimate the value of travel time.

The findings of the models has indicated that the proximity to rail stations was valued at $250‐300 per meters, and the value of travel per hour was $1.47‐1.83 on average.

These findings should be checked with more consistent database using transaction process, and the mortgage loan rate which was not legislated at the time of study.

Until a mortgage loan rate is registered in turkey, the estimated parameters can be used in the cost‐benefit analysis of rail transit investments in Turkey.

The theoretical premise that “any improvement in accessibility will be capitalized into the land values” is tested one more time in a developing country case whose urban environment is substantially different from those of the developed world, especially the North American cities. Furthermore, a new methodology using the HPM parameters is also suggested to estimate the value of travel time.

If ever Africa had disappeared, it has now reappeared on the maps of investors seeking for land and resources. The entire continent seems to have become attractive for international financial institutions, which intensify their recommendations to single national Governments in order for them to further remove obstacles and make Africa an “ever better place to do business”.

Rwanda represents an emblematic example of the rapidity and size of transformations Africa is faced with, which touch every sector, from the land ownership model to the modes of land use, from the distribution of population, to the construction of infrastructure.

It is a fertile country, with a good water supply and two crop seasons, and is almost entirely cultivated. The majority of the inhabitants work the land, and subside thanks to agriculture. Today, however, the Government's goal, synthetically expressed in the slogan that defines the future of Rwanda as Africa's Singapore (Vesperini, 2010), is the modernization of agriculture, and the reduction of its weight in favour of a service economy. The most visible effects of this approach are the expulsion from the countryside of a huge number of families which lose any type of sustainment, and the grouping of many small plots in large territorial extensions which are often given for long term use to multinational agribusiness corporations. The transformation of agriculture is accompanied by the redistribution of population, traditionally settled in scattered patterns across the whole country. The massive migration from the countryside is explicitly sought by Government, whose target is to reach, by 2020, a 35% urbanization rate up from today's 18%.

The three issues, total and unconditional opening to foreign investment, population resettlement and transformation of the agricultural activities, which are the pillars of the development programs initiated by Government and international advisors, are producing dramatic changes on the physical and built environment, and affect the living conditions of the weakest groups (White, Borras, Hall, Scoones, Walford, 2012).

The paper proposes a reflection on themes which have general relevance, but which also need to be locally grounded. Of particular importance are urbanization, the relationship between towns and countryside, and the relationship between social and economic structure and territorial planning.

In 2012 the author took part as consultant to the drafting of the Urbanization sector strategic plan 2012-2017. The views expressed here are personal and do not in any way represent the Government or Institutions’ point of view.

The comparative study between urban regions gathered by the 2010 National Project of Relevant Interest financed by the Italian Ministry of Education, University and Research (MIUR – PRIN 2010) re-opened, in Italy, the debate on regional comparison of data, especially the ones of land use monitoring, which are difficult to collect, and to compare. The purpose of this paper is to illustrate some results of comparative studies based on regional and national data sets of land use indicators. Further considerations of land use change (LUC) assessment and its effect on environmental policies extended to the whole metropolitan area of Milan are outlined.

The adopted methodology collects different types of information from the existent databases on land uses/land covers (national/regional) and presents an assessment between the selected case of studies (urban regions), leading a shift from a quantitative evaluation to a qualitative one. A comparative study was conducted applying a geographical and statistical difference of land uses among different time thresholds. Subsequently, a cross-tabulation analysis allows an in-depth LUC analysis for the Milan urban region.

The results of the study display an autonomous pattern for the Milan urban region, which is the most densely populated area in Italy and seems to be the only comparable to other international cases of studies due to its extension and characteristics. Nevertheless, it is not the urban region that is affected by the highest rate of land take, which takes place in the Italian context where densities of settlements are lower and sprawled. According to Soja’s (2011) interpretation, the post-metropolitan condition of Milan seems to be proved.

The study was aimed at creating the first online National Atlas which has been used to overcome traditional problems of homogenization of LUC data in Italy. The quantification and qualification of LUC patterns allow us to understand if, and where, post-metropolis condition occurs. This research gives a clear indication of the kind of ongoing phenomena for policy orientation to planners and administrators, especially the one of the green infrastructure approach at the city-region level to solving the emerging environmental challenges.

Digital transformation (DT) is a priority for the healthcare sector. In many countries, it is still considered in the early stages with an underestimation of its benefits and potentiality. Especially in Italy, little is known about the impact of digitalization – particularly of the Internet of Things (IoT) – on the healthcare sector, for example, in terms of clinician's jobs and patient's experience. Drawing from such premises, the paper aims to focus on an overlooked healthcare area related to the chronic heart diseases field and its relationship with DT. The authors aim at exploring and framing the main variables of remote Monitoring (RM) adoption as a specific archetype of healthcare digitalization, both on patients and medical staff level, by shedding some lights on its overall implementation.

The authors empirically inquiry the RM adoption within the context of the Cardiology Department of the Casilino General Hospital of Rome. To answer our research question, the authors reconstruct the salient information by using induction-type reasoning, direct observation and interviewees with 12 key informants, as well as secondary sources analysis related to the hospital (internal documentation, presentations and technical reports).

According to a socio-technical framework, the authors build a model composed of five main variables related to medical staff and patients. The authors classify such variables into an input-process-output (I-P-O) model. RM adoption driver represents the input; cultural digital divide, structure flexibility and reaction to change serve the process and finally, RM outcome stands for the output. All these factors, interacting together, contribute to understanding the RM adoption process for chronic disease management.

The authors' research presents two main limitations. The first one is related to using a qualitative method, which is less reliable in terms of replication and the interpretive role of researchers. The second limitation, connected to the first one, is related to the study's scale level, which focuses on a mono-centric consistent level of analysis.

The paper offers a clear understanding of the RM attributes and a comprehensive view for improving the overall quality management of chronic diseases by suggesting that clinicians carefully evaluate both hard and soft variables when undertaking RM adoption decisions.

RM technologies could impact on society both in ordinary situations, by preventing patient mobility issues and transport costs, and in extraordinary times (such as a pandemic), where telemedicine contributes to supporting hospitals in swapping in-person visits with remote controls, in order to minimize the risk of coronavirus disease (COVID-19) contagion or the spread of the virus.

The study enriches the knowledge and understanding of RM adoption within the healthcare sector. From a theoretical perspective, the authors contribute to the healthcare DT adoption debate by focusing on the main variables contributing to the DT process by considering both medical staff and patient's role. From a managerial perspective, the authors highlight the main issues for RM of chronic disease management to enable the transition toward its adoption. Such issues range from the need for awareness of the medical staff about RM advantages to the need for adapting the organizational structure and the training and education process of the patients.

The objective of this paper is to re‐appraise intra‐urban rent models in the context of a multi‐nodal landscape. Primarily, the study focuses on the early work of Alonso and, more recently, Di Pasquale and Wheaton. Although the latter use a more sophisticated approach, both models lead to similar outputs, notably a declining rent gradient from the central business district (CBD). However, throughout the twentieth century there has been a considerable process of urban industrial change. Di Pasquale and Wheaton recognise this and argue that this has led to an almost flat industrial rent gradient.

To assess the current impact on industrial rents a hedonic rent regression model is applied which enables us to standardise for property characteristics.

The results support the hypothesis that the rent gradient from the CBD for a large city is still downward‐sloping, albeit very shallow. More interesting is the significance of proximity to motorway junctions. The analysis supports the hypothesis of a multi‐nodal rent surface. Proximity to a motorway junction is the most important locational variable with a much steeper and negative gradient than that to the CBD, albeit over a shorter distance.

These results imply that the draw of the CBD in terms of agglomeration economies and its accessibility to labour for a city the size of Glasgow still remains, but its attractions are much denuded with the development of a national motorway network.

The purpose of this study is to identify which are the main factors influencing the apartment prices in Prishtina, the capital of Kosovo, during the period 2018–2020. The factors identified will be used by real estate developers and investors for better decision-making in apartment investments.

The research methodology is quantitative. The methodology analyzes 1,468 real estate transaction contracts of apartment buildings using a probability random sampling. The research methodology uses multiple regression analysis to identify whether the research model is significant in predicting apartment prices but also identify which are the main factors that influence the apartment prices in Prishtina, Kosovo.

The present study finds that location, size, floor, access to road and building quality affect apartment prices in Prishtina, whereas surprisingly access to green spaces and availability of parking spaces have no statistically significant effect on apartment prices in Kosovo.

The study has great implications for the real estate developers in Prishtina, Kosovo showing how to improve their decision-making process in real estate investments to know which characteristics are most valued by investors for investment in new apartment buildings in Prishtina, Kosovo and local authorities in Prishtina, Kosovo to modernize the access to road infrastructure for its inhabitants and adopt building regulations that will enforce strict criteria as far as building quality is concerned.

The study is the first quantitative study that studies the factors influencing the apartment prices in Prishtina, Kosovo.

The present study assesses the morphological transition and the consequent changes in the use of land observed recently in southern Europe. We analysed the spatial distribution of basic land-use classes (built-up areas, cropland, forests) together with demographic and socioeconomic indicators with the aim to evaluate the differential impact of compact urban expansion and dispersed urbanization on peri-urban farming. Alternating distinct expansion waves over the last 50 years, Athens’ metropolitan region, Greece, was selected as the case study. Although per-capita built-up area was higher in the ‘dispersed’ urban wave compared with the ‘compact’ wave, cropland was the most vulnerable class to urbanization. A high rate of conversion from forests to cropland (in turn abandoned and, finally, developed) was observed since the early 1990s. This process is associated to land fragmentation and soil degradation driven by illegal housing and real estate speculation. Land-use changes are a target for policies mitigating soil consumption and promoting peri-urban agriculture on Mediterranean fringe land.