This book revisits the concept of the transit catchment area (TCA) and examines evolving practices in TCA planning against the backdrop of expanding big and open data (BOD) in transit-oriented land use planning.
In many developed countries and regions, car dependence and urban sprawl have led to undesirable outcomes. Improved transit and land use planning can help create well-connected areas where people, businesses, and employers want to be. But how can we make these transit zones more appealing? BOD is transforming how we understand and address this challenge. Drawing on empirical data and case studies, this book shows how TCAs can be defined across two dimensions―feature (form) and performance (function)―and how BOD, combined with traditional sources, can be used to characterize these dimensions while revealing their complex interrelationships. The author employs a mixed-method approach that includes desktop research, survey data, and quantitative analysis with visualization. Readers will learn how to redefine TCAs and enhance planning practices by leveraging BOD sources such as smartcard data, OpenStreetMap, and social media―making transit areas more attractive while addressing car dependence, urban sprawl, and related challenges such as congestion, pollution, and declining social capital.
Big and Open Data for Transit Planning will be useful for planners, officials, students, and academics who are interested in the nexus of transit/transportation, land use, and sustainable development.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Jiangping Zhou is Professor at the University of Hong Kong (HKU).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. This book revisits the concept of the transit catchment area (TCA) and examines evolving practices in TCA planning against the backdrop of expanding big and open data (BOD) in transit-oriented land use planning.In many developed countries and regions, car dependence and urban sprawl have led to undesirable outcomes. Improved transit and land use planning can help create well-connected areas where people, businesses, and employers want to be. But how can we make these transit zones more appealing? BOD is transforming how we understand and address this challenge. Drawing on empirical data and case studies, this book shows how TCAs can be defined across two dimensionsfeature (form) and performance (function)and how BOD, combined with traditional sources, can be used to characterize these dimensions while revealing their complex interrelationships. The author employs a mixed-method approach that includes desktop research, survey data, and quantitative analysis with visualization. Readers will learn how to redefine TCAs and enhance planning practices by leveraging BOD sources such as smartcard data, OpenStreetMap, and social mediamaking transit areas more attractive while addressing car dependence, urban sprawl, and related challenges such as congestion, pollution, and declining social capital.Big and Open Data for Transit Planning will be useful for planners, officials, students, and academics who are interested in the nexus of transit/transportation, land use, and sustainable development. This book revisits the concept of the transit catchment area (TCA) and examines evolving practices in TCA planning against the backdrop of expanding big and open data in transit-oriented land use planning. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032355870
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Etat : New. Jiangping Zhou is Professor at the University of Hong Kong (HKU).This book revisits the concept of the transit catchment area (TCA) and examines evolving practices in TCA planning against the backdrop of expanding big and open data (BOD. N° de réf. du vendeur 3101442527
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Paperback. Etat : new. Paperback. This book revisits the concept of the transit catchment area (TCA) and examines evolving practices in TCA planning against the backdrop of expanding big and open data (BOD) in transit-oriented land use planning.In many developed countries and regions, car dependence and urban sprawl have led to undesirable outcomes. Improved transit and land use planning can help create well-connected areas where people, businesses, and employers want to be. But how can we make these transit zones more appealing? BOD is transforming how we understand and address this challenge. Drawing on empirical data and case studies, this book shows how TCAs can be defined across two dimensionsfeature (form) and performance (function)and how BOD, combined with traditional sources, can be used to characterize these dimensions while revealing their complex interrelationships. The author employs a mixed-method approach that includes desktop research, survey data, and quantitative analysis with visualization. Readers will learn how to redefine TCAs and enhance planning practices by leveraging BOD sources such as smartcard data, OpenStreetMap, and social mediamaking transit areas more attractive while addressing car dependence, urban sprawl, and related challenges such as congestion, pollution, and declining social capital.Big and Open Data for Transit Planning will be useful for planners, officials, students, and academics who are interested in the nexus of transit/transportation, land use, and sustainable development. This book revisits the concept of the transit catchment area (TCA) and examines evolving practices in TCA planning against the backdrop of expanding big and open data in transit-oriented land use planning. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781032355870
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