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The density and pattern of urban parks, traffic conditions are the main factors affecting urban park accessibility. To clarify the influence of traffic mode and urban road network on urban park accessibility, we examine downtown area of Nanjing, China, and based on GIS network analysis, analyze urban park accessibility under different traffic modes in the current year (2017) and the Nanjing master planning target year (2030). The results shows: Using automobiles takes the shortest time to get to urban parks in 2017 and 2030 (if the problem of parking is ignored). Comparing the results of 2030 and 2017, by when the ground transportation network in the study area will be further improved, urban park accessibility was improved by a small margin under walking and automobile traffic modes, however, the density of rail traits increased fastest, urban park accessibility is improved most under this mode of transportation, rail transit route development becomes the dominant factor in improving park accessibility in downtown area of Nanjing. To a certain extent, this study reveals the leading factors of improving the accessibility of urban parks on the premise that the system of urban parks tends to be stable, and provides a reference for improving urban park accessibility.

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.

Purpose – The chapter studies methods of integrating the connection between land use and traffic surrounding rail transit stations. It offers guidance to urban planners about how to arrange transfer facilities scientifically and promote more efficient use of land nearby.

Methodology – The chapter describes studies of station type, station positioning, recommended building floor area ratio (FAR), traffic connection and land use functional demand for five stations on No. 2 Metro Line in Nanjing, determining the traffic connections and layout for the land use surrounding the five stations.

Findings – This study of the integrated connection between land use and transport surrounding rail transit stations will act as a guide to help arrange the building of essential transfer facilities scientifically and help cities to make better use of the scarce amount of urban land available for development. This study also shows that the transport system plays an important part in adjusting the functional layout of land use surrounding rail transit stations.

Social implications – The results of this study will be particularly significant in the integration of urban planning management and transport management. Furthermore, the coordinated interaction between land-use planning, traffic planning and urban design will benefit Chinese cities as they continue to grow throughout the 21st century and beyond.

The new town concept originated from the ideal city model of Ebenezer Howard and expanded from Europe to America in the 1900s. It has reemerged as a site for accommodating population from highly dense urban centers of China and India since the early twenty-first century. The massive infusion of public and private investments has enabled the emergence of new towns in China and India as planned centers of world-class residential, commercial, and work spaces. The rational goal of de-densifying the crowded central cities can lead to a more balanced distribution and use of resources across the metropolitan regions with more spacious housing for the growing middle class in China and India. Yet it is a relatively small number of the wealthy and mobile people who have turned out to be beneficiaries of the mostly high-end housing and well-developed transport infrastructure that evokes social and economic polarizations and political contestations. In this chapter, we will examine: (1) how these top-down planned and developed new towns have reshaped the urbanization process of the megacities in India and China, (2) the socio-spatial influence of these settlements on the central city as well as the surrounding rural areas, and (3) the expected and actual spatial users (both old and new residents) of the new towns? We address these questions by organizing two pairs of cases in a systematic framework: Anting New Town and Thames Town in Shanghai, China and Rajarhat New Town and the Kolkata West International City (KWIC) near Kolkata, India.

This chapter seeks to analyse neighbouring in times of rapid change in the Chinese metropolis of Shanghai. Using the local neighbourhood of Tianzifang as a case study, this chapter shows how the pace of change in Shanghai since the 1950s has reshaped the social fabric of the area, including traditional neighbour relations. As Tianzifang has shifted from an unknown neighbourhood comprised of traditional lilong dwellings, where social relations played out in private communal settings, to one of Shanghai’s most famous tourist spots, the relationships between residents, as well as with ‘outsiders’ and the familiar local environment, have also changed. Traditional neighbourly ties have been broken, rebuilt and transformed again through waves of new residents coming into the area and the displacement of others who can no longer afford to live there. For those who remain, the question of who is, and thus who is not, a ‘real’ neighbour has been narrowed to include only ‘insiders’ with a deep sense of belonging and connection to the area – i.e. the urban working class who have always lived in Tianzifang and own rather than rent their homes. Yet even this is no longer sufficient. The disruption that Tianzifang’s physical and social transformation has brought to residents’ lives has also imposed new social norms about how neighbours should behave in this new, intermediary space of public and private. ‘Real’ neighbours are those who conform to changing social norms while neighbours who breach them can be ostracised and excluded by others who once saw them as an insider.

This research aims to establish an index system and a grey comprehensive evaluation model for analyzing the sustainability of urban tourism.

The sustainability evaluation of urban tourism is regarded as a multi-level and multi-index evaluation problem in this study. The evaluation index system of urban tourism sustainable development is constructed based on the ideas of holism and systems thinking. Then based on grey system correlation analysis theory, a new evaluation model is proposed to effectively solve the complex and uncertain problems in the sustainability evaluation system of urban tourism. An actual example of the five cities (Nanjing, Zhenjiang, Changzhou, Wuxi and Suzhou) in Southern Jiangsu Province of China is adopted to demonstrate the feasibility and practicability of the proposed model.

The grey comprehensive evaluation model can effectively convert the complex indices into comprehensive optimal membership degrees which are easy to be understood. The empirical study on the urban tourism sustainable development of South of Jiangsu found that: Suzhou, Nanjing and Wuxi were in the basic stage of sustainable development; Changzhou and Zhenjiang were in the preliminary stage of sustainable development. The social responsibility fulfillment of urban tourism in five cities fails to reach a satisfactory level, especially Zhenjiang and Changzhou remain in a low level in fulfillment of social responsibility.

Due to the difficulty of data collection, the authors can only use the data on 2010 to do a static evaluation in this study. If the authors can have more data on different years, it is feasible to develop a dynamic evaluation model to analyze the evolution law of the sustainability of urban tourism.

The evaluation results provide the necessary support to assist the tourism management departments of the five cities with their policy making.

This study not only supplements the evaluation modelling methods widely used in the area of tourism management, but also promotes the development of the grey systems theory itself.

Purpose – This chapter introduces the basic strategy and practice for developing a sustainable transportation system in China, and puts forward problems and directions of improvement.

Methodology – To begin with, the chapter elaborates on the development background of the Chinese urban transportation system and on the challenges in terms of urbanization, mechanization, and resource constraints. The chapter then systematically summarizes the implementation strategy for developing a green transportation system in China, including the government's leading role, public transportation system resource integration, the combination of nonmotor traffic and public traffic, and traffic demand management policy. It illustrates these with specific examples of practical activities conducted.

Findings – Finally, in response to typical problems challenging China, this chapter puts forward directions of improvement for aspects of land utilization, planning, intelligent transportation, traffic demand management, and public participation.

Implications for China – During the critical period featuring rapid growth of private motor vehicle population and transformation of urban traffic development policy, this chapter contributes to building a consensus among the Chinese government and the civil society and to promoting the implementation and sound development of sustainable transportation system by adopting comprehensive measures.

Attracting commuters from driving to light rail systems has a good potential for reducing carbon emissions. However, the light rail system is interrupted by disruptions frequently, which reduces its attraction to passengers. Therefore, how to provide a quick replacement service during disruptions is of vital importance to avoid passengers change to other higher emission vehicles. The purpose of this paper is to focus on the decision analysis of the replacement tool for disruption recovery service in urban public light rail systems from the perspective of environmental effect.

The traditional approach – bus replacement service – and the new approach – taxi replacement service – which has been recently adopted by several cities, are examined individually and compared. The benefit of the light rail company is formulated by balancing between carbon emission and financial cost. The involving parties’ decision functions taking the passengers’ behaviors as well as numerous other important factors into account are formulated.

Both theoretical and numerical sensitivity analyses are conducted to shed light for light rail systems to better coping with disruptions, increasing service level, and attracting more passengers to the environmental transit system to reduce carbon emission.

It is worth mentioning that this research is a successful application for disruption recovery in a public transit system considering the environmental effect. To the authors’ knowledge, this research is one of the first of such applications in this area and can be used not only in the public light rail systems, but also in other urban public transport network components such as the subway and rail systems.