Cities are home to more than half of the world population today and urbanization is one of this century's biggest drivers of global economic growth. The dynamics of the urban environment is thus an important question to investigate. In this thesis, techniques from statistical modeling, machine learning, data mining and econometrics are utilized to study digital traces of people's everyday lives. In particular, we investigated how people influence the economic growth of cities, as well as how the urban environment affect the decisions made by people. Focusing on the role of cities as centers of consumption, we found that a gravity model based on the availability of a large and diverse pool of amenities accurately explained human flows observed from credit card records. Investigation of the consumption patterns of individuals in Istanbul, Beijing and various metropolitan areas in the United States revealed a positive relationship between the diversity of urban amenities consumed and the city's economic growth. Taking the perspective of cities as hubs for information exchange, we modeled the interactions between individuals in the cities of Beijing and Istanbul using records of their home and work locations and demonstrated how cities which facilitate the mixing of diverse human capital are crucial to the flow of new ideas across communities and their productivity. This contributes to the body of evidence which supports the notion that efficient information exchange is the key factor that drives innovation. To investigate how urban environments shape people's decisions, we study the social influence city dwellers have on each other and showed how face-to-face interaction and information exchange across different residential communities can shape their behavior and increase the similarity of their financial habits and political views in Istanbul.

This book aims to promote the synergistic usage of advanced computational methodologies in close relationship to geospatial information across cities of different scales. A rich collection of chapters subsumes current research frontiers originating from disciplines such as geography, urban planning, computer science, statistics, geographic information science and remote sensing. The topics covered in the book are of interest to researchers, postgraduates, practitioners and professionals. The editors hope that the scientific outcome of this book will stimulate future urban-related international and interdisciplinary research, bringing us closer to the vision of a “new science of cities.”

The use of innovative computational models in political economic research as a complement to traditional analytical methodologies.

Microeconomic Modeling in Urban Science proposes an interdisciplinary framework for the analysis of urban systems. It portrays agents as rational beings modeled under the framework of random utility behavior and interacting in a complex market of location auctions, location externalities, agglomeration economies, transport accessibility attributes, and planning regulations and incentives. Francisco Javier Martinez Concha considers the optimal planning of cities as he explores interactions between citizens and between citizens and firms, the mesoscopic agglomeration of firms and the segregation of agents’ socioeconomic clusters, and the emergence of city-level scale laws. Its unified model of city life is relevant to micro-, meso- and macro-scale interactions. Presents a unified, coherent and realistic framework able to simulate complete urban systems Describes the use of discrete–choice and stochastic behavior models in the auction spatial-equilibrium market Includes computing outputs from Cube-Land modeling using GIS

This edited collection, first published in 1987, provides a comparative analysis of different approaches to urban modelling, and lays the foundations for the possibility of integration and a more unified field. The first part contextualises the development of the field of urban systems modelling, focusing on the variety of approaches and possible implications of this on the future of research and methodology. Next, the editors consider economic and ‘non-economic’ approaches, followed by an analysis of spatial-interaction-based approaches. Providing an overview to the field and research literature, the overarching argument is that there should be an integrated methodological approach to urban system modelling.

This volume embodies a problem-driven and theoretically informed approach to bridging frontier research in urban economics and urban/regional planning. The authors focus on the interface between these two subdisciplines that have historically had an uneasy relationship. Although economists were among the early contributors to the literature on urban planning, many economists have been dismissive of a discipline whose leading scholars frequently favor regulations over market institutions, equity over efficiency, and normative prescriptions over positive analysis. Planners, meanwhile, even as they draw upon economic principles, often view the work of economists as abstract, not sensitive to institutional contexts, and communicated in a formal language spoken by few with decision making authority. Not surprisingly, papers in the leading economic journals rarely cite clearly pertinent papers in planning journals, and vice versa. Despite the historical divergence in perspectives and methods, urban economics and urban planning share an intense interest in many topic areas: the nature of cities, the prosperity of urban economies, the efficient provision of urban services, efficient systems of transportation, and the proper allocation of land between urban and environmental uses. In bridging this gap, the book highlights the best scholarship in planning and economics that address the most pressing urban problems of our day and stimulates further dialog between scholars in urban planning and urban economics.