Pub Date : 2024-05-19DOI: 10.1177/23998083241246668
G. Stiny
{"title":"Shape grammars in Environment and Planning B","authors":"G. Stiny","doi":"10.1177/23998083241246668","DOIUrl":"https://doi.org/10.1177/23998083241246668","url":null,"abstract":"","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141124397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-19DOI: 10.1177/23998083241246320
David O’Sullivan
{"title":"Environment and Planning B and me; or what is lost in data","authors":"David O’Sullivan","doi":"10.1177/23998083241246320","DOIUrl":"https://doi.org/10.1177/23998083241246320","url":null,"abstract":"","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141124499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-19DOI: 10.1177/23998083241246665
C. Cottineau
{"title":"Accommodating a durable community","authors":"C. Cottineau","doi":"10.1177/23998083241246665","DOIUrl":"https://doi.org/10.1177/23998083241246665","url":null,"abstract":"","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141124606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-19DOI: 10.1177/23998083241247664
Linda See
{"title":"My ten years with Environment and Planning B","authors":"Linda See","doi":"10.1177/23998083241247664","DOIUrl":"https://doi.org/10.1177/23998083241247664","url":null,"abstract":"","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141124086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-19DOI: 10.1177/23998083241249551
Levi J Wolf, Dani Arribas-Bel
{"title":"Hopes and dreams for (future) better things: Medium, data, and ideas","authors":"Levi J Wolf, Dani Arribas-Bel","doi":"10.1177/23998083241249551","DOIUrl":"https://doi.org/10.1177/23998083241249551","url":null,"abstract":"","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141124109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-19DOI: 10.1177/23998083241249552
Anthony Gar-On Yeh
{"title":"From urban modelling, GIS, the digital, intelligent, and the smart city to the digital twin city with AI","authors":"Anthony Gar-On Yeh","doi":"10.1177/23998083241249552","DOIUrl":"https://doi.org/10.1177/23998083241249552","url":null,"abstract":"","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141125017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-06DOI: 10.1177/23998083241250264
Teemu Jama, Henrikki Tenkanen, Henrik Lönnqvist, Anssi Joutsiniemi
Many scholars and planners emphasise the role of compact cities in sustainable urban development. Compact urban form is seen as a way to encourage people, for example, to drive less and walk more, which reduces transport-related GHG emissions. This argument, however, is strongly dependent on local amenity development that can support such local living. In plan-making, a common practice is to try to ensure the realisation of services with a high Gross Floor Area (GFA) residential infill development to raise the local population density. In this paper we are seeking quantitative insight on the resolution under which urban density, as measured by GFA volume, correlates with the growth of urban amenities and liveability. Specifically, we are seeking the direction in which correlation changes when moving from a larger geographical scale (low resolution) towards a smaller scale (high resolution) of walkable reach. Our study shows a clear correlation between urban amenities and planned GFA at low-resolution scales, but that correlation decreases at higher-resolution scales (walkable neighbourhood level), indicating that urban amenities tend to cluster in different locations than density is planned. Based on these findings, we argue that, if the aim of urban planning is to foster the growth of local amenities, it should shift its focus towards larger patterns of urban development rather than emphasising GFA in detailed plan-making.
{"title":"Compact city and urban planning: Correlation between density and local amenities","authors":"Teemu Jama, Henrikki Tenkanen, Henrik Lönnqvist, Anssi Joutsiniemi","doi":"10.1177/23998083241250264","DOIUrl":"https://doi.org/10.1177/23998083241250264","url":null,"abstract":"Many scholars and planners emphasise the role of compact cities in sustainable urban development. Compact urban form is seen as a way to encourage people, for example, to drive less and walk more, which reduces transport-related GHG emissions. This argument, however, is strongly dependent on local amenity development that can support such local living. In plan-making, a common practice is to try to ensure the realisation of services with a high Gross Floor Area (GFA) residential infill development to raise the local population density. In this paper we are seeking quantitative insight on the resolution under which urban density, as measured by GFA volume, correlates with the growth of urban amenities and liveability. Specifically, we are seeking the direction in which correlation changes when moving from a larger geographical scale (low resolution) towards a smaller scale (high resolution) of walkable reach. Our study shows a clear correlation between urban amenities and planned GFA at low-resolution scales, but that correlation decreases at higher-resolution scales (walkable neighbourhood level), indicating that urban amenities tend to cluster in different locations than density is planned. Based on these findings, we argue that, if the aim of urban planning is to foster the growth of local amenities, it should shift its focus towards larger patterns of urban development rather than emphasising GFA in detailed plan-making.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140885680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01DOI: 10.1177/23998083241250265
Liliana S Valverde-Caballero, Luis M Mendoza-Salazar, Cinthya L Butron-Revilla, Ernesto Suarez-Lopez, Jesus S Aguilar-Ruiz
Walkability principles are an important part in the planning process of cities that face urban problems such as gentrification, pollution, and decay of their built heritage. The proposed factors – connectivity, proximity, land use mix, and retail density – form a comprehensive framework for evaluating walkability that transcends the boundaries of historical cities. These factors, while initially identified within historical contexts, possess inherent qualities that render them universally adaptable to various urban landscapes. By leveraging these factors, urban planners gain insights into the intricate fabric of pedestrian experiences in cities. They serve as universal evaluative tools, applicable not only to historical cities but also to burgeoning metropolises and smaller urban centres. This work introduces a novel approach to assessing the Walkability Index for World Heritage Cities, utilizing a Multiple Criteria Spatial Decision Support System (GIS-MCDA) structured in four stages. The approached methodology is particularly valuable for governments and decision-makers in developing countries of the Global South, where limitations in data and available tools are common challenges. The insights gained from this study can guide the improvement of policies, enable more precise implementation of sustainable mobility infrastructure, and motivate the pursuit or maintenance of UNESCO World Heritage nominations. The case study focused on the Historical Centre of Arequipa, Peru, a city designated as a UNESCO World Heritage site. The results of this study demonstrate the effectiveness of the proposed approach in such contexts, owing to its specificity and the integration of both objective and subjective elements.
{"title":"Walkability index for world heritage cities in developing countries","authors":"Liliana S Valverde-Caballero, Luis M Mendoza-Salazar, Cinthya L Butron-Revilla, Ernesto Suarez-Lopez, Jesus S Aguilar-Ruiz","doi":"10.1177/23998083241250265","DOIUrl":"https://doi.org/10.1177/23998083241250265","url":null,"abstract":"Walkability principles are an important part in the planning process of cities that face urban problems such as gentrification, pollution, and decay of their built heritage. The proposed factors – connectivity, proximity, land use mix, and retail density – form a comprehensive framework for evaluating walkability that transcends the boundaries of historical cities. These factors, while initially identified within historical contexts, possess inherent qualities that render them universally adaptable to various urban landscapes. By leveraging these factors, urban planners gain insights into the intricate fabric of pedestrian experiences in cities. They serve as universal evaluative tools, applicable not only to historical cities but also to burgeoning metropolises and smaller urban centres. This work introduces a novel approach to assessing the Walkability Index for World Heritage Cities, utilizing a Multiple Criteria Spatial Decision Support System (GIS-MCDA) structured in four stages. The approached methodology is particularly valuable for governments and decision-makers in developing countries of the Global South, where limitations in data and available tools are common challenges. The insights gained from this study can guide the improvement of policies, enable more precise implementation of sustainable mobility infrastructure, and motivate the pursuit or maintenance of UNESCO World Heritage nominations. The case study focused on the Historical Centre of Arequipa, Peru, a city designated as a UNESCO World Heritage site. The results of this study demonstrate the effectiveness of the proposed approach in such contexts, owing to its specificity and the integration of both objective and subjective elements.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140840834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-30DOI: 10.1177/23998083241247870
Jessica Gosling-Goldsmith, Sarah Elizabeth Antos, Luis Miguel Triveno, Adam R Benjamin, Chaofeng Wang
Those who work in the design, development, and management of cities are often limited by the scarcity of data. Particularly in the Global South, urban databases may be insufficient, out of date, or simply not available. However, digital technology is making it possible to fill gaps and build substantial datasets using “urban clues,” or attributes, gathered in high-resolution imagery by sky- and street-based cameras. Aided by machine learning, it is possible to detect specific building characteristics (purpose, condition, size, material, and construction)—yielding an array of geolocated details about the built environment. The resulting composite view can be made available, as we have done, in an open-source portal for use in urban management. The insights gained in this way may help address common urban management challenges, such as locating homes vulnerable to hazards such as flooding or earthquakes, identifying urban sprawl and informal housing, prioritizing infrastructure investments, and guiding public program support. This approach has been applied in Colombia, Guatemala, Indonesia, Mexico, Paraguay, Peru, St Lucia, and St Maarten.
{"title":"Aerial-terrestrial data fusion for fine-grained detection of urban clues","authors":"Jessica Gosling-Goldsmith, Sarah Elizabeth Antos, Luis Miguel Triveno, Adam R Benjamin, Chaofeng Wang","doi":"10.1177/23998083241247870","DOIUrl":"https://doi.org/10.1177/23998083241247870","url":null,"abstract":"Those who work in the design, development, and management of cities are often limited by the scarcity of data. Particularly in the Global South, urban databases may be insufficient, out of date, or simply not available. However, digital technology is making it possible to fill gaps and build substantial datasets using “urban clues,” or attributes, gathered in high-resolution imagery by sky- and street-based cameras. Aided by machine learning, it is possible to detect specific building characteristics (purpose, condition, size, material, and construction)—yielding an array of geolocated details about the built environment. The resulting composite view can be made available, as we have done, in an open-source portal for use in urban management. The insights gained in this way may help address common urban management challenges, such as locating homes vulnerable to hazards such as flooding or earthquakes, identifying urban sprawl and informal housing, prioritizing infrastructure investments, and guiding public program support. This approach has been applied in Colombia, Guatemala, Indonesia, Mexico, Paraguay, Peru, St Lucia, and St Maarten.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140840984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-27DOI: 10.1177/23998083241249592
Xiang Liu, Jing Fan, Zongshi Liu
The geographic assessment of population changes provides fundamental insights into understanding urban development and addressing future urbanization challenges. In this graphic, we produced a Dorling cartogram to geo-visualize population changes at the city level across China between 2010 and 2020. The cartogram illustrates how internal migration fuels China’s growing population concentration and regional disparity, leading to significant population loss in lower administrative-level cities and escalating intercity imbalances across the country.
{"title":"Always growing? Mapping population change in urban China for 2010-2020","authors":"Xiang Liu, Jing Fan, Zongshi Liu","doi":"10.1177/23998083241249592","DOIUrl":"https://doi.org/10.1177/23998083241249592","url":null,"abstract":"The geographic assessment of population changes provides fundamental insights into understanding urban development and addressing future urbanization challenges. In this graphic, we produced a Dorling cartogram to geo-visualize population changes at the city level across China between 2010 and 2020. The cartogram illustrates how internal migration fuels China’s growing population concentration and regional disparity, leading to significant population loss in lower administrative-level cities and escalating intercity imbalances across the country.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140812524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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