Regional Transport and Its Association with Tuberculosis in the Shandong Province of China, 2009-2011

Human mobility has played a major role in the spread of infectious diseases such as tuberculosis (TB) through transportation; however, its pattern and mechanism have remained unclear. This study used transport networks as a proxy for human mobility to generate the spatial process of TB incidence. It examined the association between TB incidence and four types of transport networks at the provincial level: provincial roads, national roads, highways, and railways. Geographical information systems and geospatial analysis were used to examine the spatial distribution of 2217 smear-positive TB cases reported between 2009 and 2011 in the Shandong province. The study involved factors such as population density and elevation difference in conjunction with the types of transport networks to predict the disease occurrence in space. It identified spatial clusters of TB incidence linked not only with transport networks of the regions but also differentiated by elevation. Our research findings provide evidence of targeting populous regions with well-connected transport networks for effective surveillance and control of TB transmission in Shandong.postprin

Stations as Nodes:

At the main point of intersection between the railway and the city, stations are key elements in the organization of the intermodal transport as well as catalysts of urban developments in metropolises, medium and small cities. The focus of this publication is to explore the enrichment of a renewed approach of railway stations as intermodal nodes, therefore acting as breeding grounds for both urban and social developments. This book has been initiated and built upon several activities currently running at the Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute), Delft University of Technology (DIMI, Delft Deltas Infrastructure Mobility Initiative and Department of Architecture of the Faculty of Architecture and the Built Environment) and University of Paris-Est (l’École d’Urbanisme de Paris). These activities have been framed within the context of two rapidly developing metropolitan areas: Randstad in the Netherlands and Métropole du Grand Paris in the Ile de France. This volume forms the basis for a research on the ‘role of stations in future metropolitan areas’ with the ambition to link the two countries, learning from their different cities and distinct geographical context through comparable mobility challenges on the levels of the inner city, suburban and peripheral areas. In line with these considerations, in 2018 AMS Institute, TU Delft/ DIMI and the Dutch Embassy in Paris with Atelier Néerlandais organized a successful workshop: ‘Stations of the Future’, in collaboration with La Fabrique de la Cité. Together with Dutch and French planning entities, involving mass transit operators and railway companies, this workshop focused on several case studies in both metropolitan areas to understand the role of station hubs as intermodal nodes. During this joint French-Dutch event that took place in Paris, we spoke on topics like Station as intermodal node, Station as destination and Station as data center, including a debate on the relation between public space and architecture, densification and programming of station areas, pedestrian flows management and the integration of data. Following the Paris workshop, the summer school ‘Integrated Mobility Challenges in Future Metropolitan Areas’ was organised by AMS Institute and Delft University of Technology/DIMI with the collaboration of the ARENA architectural research network, University of Paris-Est and the City of Amsterdam. This 8-day workshop extended the debate among international young professionals, academics and master students by looking at an important rail-metro node in the metropolitan area of the city Amsterdam: Sloterdijk Station – a crucial hub in a bigger urban area for mobility and exchange, and for urban growth. The main question was: which approaches and scenarios can be tested and applied to these intermodal nodes, particularly when dealing with lack of space and growing number of users? The results were four very different plans to improve the Sloterdijk Station area and to make the station a ‘future proof’ intermodal hub. In this publication, invited experts from practice and knowledge institutes in France and the Netherlands share their common experience and draw on specific aspects and problems of conception, management and development of stations. A brief overview of the results of the two initiatives ‘Stations of the Future’ and the summer school ‘Integrated Mobility Challenges in Future Metropolitan Areas’ is here illustrated, accompanied by photo reportages of both events and by a curated reportage of the Amsterdam Sloterdijk station area

Geo Data Science for Tourism

This reprint describes the recent challenges in tourism seen from the point of view of data science. Thanks to the use of the most popular Data Science concepts, you can easily recognise trends and patterns in tourism, detect the impact of tourism on the environment, and predict future trends in tourism. This reprint starts by describing how to analyse data related to the past, then it moves on to detecting behaviours in the present, and, finally, it describes some techniques to predict future trends. By the end of the reprint, you will be able to use data science to help tourism businesses make better use of data and improve their decision making and operations.

Data integration for urban transport planning

Urban transport planning aims at balancing conflicting challenges by promoting more efficient transport systems while reducing negative impacts. The availability of better and more reliable data has not only stimulated new planning methodologies, but also created challenges for efficient data management and data integration. The major focus of this study is to improve methodologies for representing and integrating multi-source and multi-format urban transport data. This research approaches the issue of data integration based on the classification of urban transport data both from a functional and a representational perspective. The functional perspective considers characteristics of the urban transport system and planning requirements, and categorises data into supply, demand, performance and impact. The representational perspective considers transport data in terms of their spatial and non-spatial characteristics that are important for data representation. These two perspectives correspond to institutional and methodological data integration respectively, and are the foundation of transport data integration. This research is based on the city of Wuhan in China. The methodological issues of transport data integration are based on the representational perspective. A framework for data integration has been put forward, in which spatial data are classified as point, linear and areal types, and the non-spatial data are sorted out as values and temporal attributes. This research has respectively probed the integration of point, linear and areal transport data within a GIS environment. The locations of socio-economic activities are point-type data that need to be spatially referenced. A location referencing process requires a referencing base, source address units and referencing methods. The referencing base consists of such spatial features as streets, street addresses, points of interest and publicly known zones. These referencing bases have different levels of spatial preciseness and have to be kept in a hierarchy. Source addresses in Chinese cities are usually written as one sentence, which has to be divided into address units for automatic geo-coding. As it is difficult to separate from the sentences, the address units have to be clearly identified in survey forms. Depending on the types of address units, the referencing process makes use of either semantic name matching or address matching to link source addresses to features in the referencing base. The name-based and road-based referencing schemes constitute a comprehensive location referencing framework that is applicable to Chinese cities. The relationship between two sets of linear features can be identified with spatial overlay in the case of independent representation, or with internal linkage in a dependent representation. The bus line is such a feature that runs on the street network and can be dependently referenced by streets. In the heavily bus-oriented city of Wuhan, bus lines constitute a large public transit network that is important to transport planning and management. This research has extended conventional bus line representation to a more detailed level. Each bus line has been differentiated as two directional routes that are defined separately with reference to the street network. Accordingly, individual route stops are also represented in the database. These stop sites are spatial features with geometry that are linked to street segments and bus routes by linear location referencing methods. A data model linking base street network, bus lines and routes, line and route stops, and other bus operations data has been constructed. The benefits of the detailed model have been demonstrated in several transport applications. Zonal data transitions include three types of operations, i.e. aggregation, areal interpolation and disaggregation. This study focuses on disaggregating data from larger zones to smaller zones. In the context of Wuhan, zonal data disaggregation involves the allocation of statistical data from statistical units to smaller parcels. Given the availability of land use data, a weighted approach reflecting spatial variations has been applied in the disaggregation process. Two technical processes for disaggregation have been examined. Weighted area-weighting (WAW) is an adaptation of the classic area-weighting method, and Monte Carlo simulation (MC) is a stochastic process based on a raster data model. The MC outcome is more convenient for subsequent re-aggregation, and is also directly available for micro-simulation. An important contribution arising from this zonal integration study is that two standardised disaggregation tools have been developed within a GIS environment. The research has also explored the institutional aspect of data integration. The findings of this study show that there is generally a good institutional transport structure in the city of Wuhan and that there is also a growing awareness of using information technology. Professional cooperation exists among transport organisations, but not yet at a level for data sharing. An integrated data support framework requires data sharing. In such a framework, it should be possible to know where to get data for specific transport studies, or which kind of research an institution supports

Dispersion of agglomeration through transport infrastructure

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2013.Cataloged from PDF version of thesis.Includes bibliographical references (p. 191-199).My dissertation aims to assess transport infrastructure's influence on the productivity, scale and distribution of urban economic activities through changing intercity accessibility. Standard project-level cost-benefit analysis fails to capture the economy-wide impacts in justifying investments in the transport sector. I propose a research framework that: (1) synthesizes the spatial emphasis of the New Economic Geography theories with the temporal perspective of the growth theories; (2) extends the scope of agglomeration effects by highlighting a city's access to external resources as a partial substitute for its own endowment; and (3) bridges the spatial discontinuity between regional and urban studies by introducing intercity accessibility as a determinant of intra-city land uses. I apply the proposed framework to study the spatial economic impacts of China's high-speed rail system at network, corridor, and node (city) levels. The GIS-based spatial analyses of the network accessibility measured by three alternative indicators consistently illustrate that, the extensive transport investments during 2001-2010 have reduced the disparities in accessibility among cities in China, with the coefficient of variation dropping by nearly 50%. Differently, estimations from the panel data models shed light on the complexity in the relationship between accessibility and economic activities, which consists of both generative and redistributive components and simultaneously leads to convergent and divergent economic outcomes. Yet, empirical evidence denies the saturation effects of accessibility. Extended estimations using different instrument variables (IV) partially relieve the concerns on endogeneity issues. Further analyses of a particular transport corridor reveal that, with HSR, the regional urban hierarchy is evolving towards a more interwoven structure, with major cities reaching for overlapped hinterlands. HSR's short-run influences on the location choice of economic activities vary in terms of spatial coverage and are not necessarily restricted to cities with direct HSR access. The city-level comparative case studies indicate that HSR stations introduce external demand for urbanization, leading to new development once matching land supply exists. A cluster analysis of ten demand-supply-related factors generates three prototypes of station-area development. For each type, public and private sectors have adopted different institutional arrangements, yet common challenges exist in preventing speculative investments and matching the development portfolio with the composition of actual needs. The findings lead to important policy implications for decision-makers in China. First, China has not exhausted the agglomeration benefits dispersing through transport infrastructure given the remarkable regional disparities. From an economic development perspective, HSR lines connecting coastal megacities with lagging inland cities are effective in reducing disparities in accessibility and should be encouraged. Second, for the appraisal of major transport projects including HSR, it is reasonable to extend the standard CBA to include the generative benefits; to evaluate the impacts on regional disparities based on redistributive effects; and to avoid overbuilding through identification of saturation effects. Third, HSR has the potential to reshape the path of urbanization. The evolution of the urban hierarchy towards a more interwoven structure may eventually raise the need for adapting administrative arrangements to fit the actual economic interaction. As to urban configuration, HSR stations may catalyze compact urbanization around transit facilities. However, local governments should avoid using HSR stations as a vehicle for excessive generation of land concession revenues.by Wanli Fang.Ph.D

An Ethnography of Moving in Nairobi: Pedestrians, Handcarts, Minibuses and the Vitality of Urban Mobility

abstract: This ethnography follows mobile trajectories on roads in Nairobi to investigate how the transformation of transport infrastructure has affected people’s everyday mobility. I follow diverse mobile actors, including pedestrians, handcart (mkokoteni) workers, and minibus (matatu) operators, whose practices and ideas of moving are central to understand the city’s ordinary mobility. I also situate their everyday ways of moving in the rules, plans and ideas of regulators, such as government officials, engineers and international experts, who focus on decongesting roads and attempt to reshape Nairobi’s better urban mobility. Despite official and popular aspirations for building new roads and other public transport infrastructure, I argue that many mobile actors still pursue and struggle with preexisting and non-motorized means and notions of moving that are not reflected in the promise of and plans for better mobility. This ethnography also reveals how certain important forms of ordinary mobility have been socially marginalized. It explores what kinds of difficulties are created when the infrastructural blueprints of road “experts” and the notions that politicians promote about a new urban African mobility fail to match the reality of everyday road use by the great majority of Nairobi residents. By employing mobile participant observation of the practices of moving, this study also finds important ethnographic implications and suggestions for the study of mobile subjects in an African city where old and new forms of mobility collide.Dissertation/ThesisDoctoral Dissertation Anthropology 201

The Possibility of Big Data Spatio-Temporal Analytics for Understanding Human Behavior and Their Spatial Patterns in Urban Area

13301甲第4630号博士（学術）金沢大学博士論文本文Ful

Recent Progress in Urbanisation Dynamics Research

This book is dedicated to urbanization, which is observed every day, as well as the methods and techniques of monitoring and analyzing this phenomenon. In the 21st century, urbanization has gained momentum, and the awareness of the significance and influence of this phenomenon on our lives make us take a closer look at it not only with curiosity, but also great attention. There are numerous reasons for this, among which the economy is of special significance, but it also has many results, namely, economic, social, and environmental. First of all, it is a spatial phenomenon, as all of the aspects can be placed in space. We would therefore like to draw special attention to the results of urbanization seen on the Earth's surface and in the surrounding space. The urbanization–land relation seems obvious, but is also interesting and multi-layered. The development of science and technology provides a lot of new tools for observing urbanization, as well as the analyses and inference of the phenomenon in space. This book is devoted to in-depth analysis of past, present and future urbanization processes all over the world. We present the latest trends of research that use experience in the widely understood geography of the area. This book is focused on multidisciplinary phenomenon, i.e., urbanization, with the use of the satellite and photogrammetric observation technologies and GIS analyses