Environment and Planning B: Urban Analytics and City Science最新文献

A reproducible pipeline for activity-based travel demand generation in England. 一个可复制的管道，以活动为基础的旅游需求生成在英国。

IF 3.1 3区经济学

Environment and Planning B: Urban Analytics and City Science Pub Date : 2025-09-19 eCollection Date: 2025-11-01 DOI: 10.1177/23998083251379620

Hussein Mahfouz, Sam F Greenbury, Bowen Zhang, Stuart Lynn, Tao Cheng

引用次数: 0

A spatial typology of energy (in)efficiency in the private rental sector in England and Wales using Energy Performance Certificates. 能源效率的空间类型在私人租赁部门在英格兰和威尔士使用能源绩效证书。

IF 3.1 3区经济学

Environment and Planning B: Urban Analytics and City Science Pub Date : 2025-09-02 eCollection Date: 2025-11-01 DOI: 10.1177/23998083251377128

Caitlin Robinson, Ed Atkins, Tom Cantellow, Meixu Chen, Lenka Hasova, Alex Singleton

{"title":"A spatial typology of energy (in)efficiency in the private rental sector in England and Wales using Energy Performance Certificates.","authors":"Caitlin Robinson, Ed Atkins, Tom Cantellow, Meixu Chen, Lenka Hasova, Alex Singleton","doi":"10.1177/23998083251377128","DOIUrl":"https://doi.org/10.1177/23998083251377128","url":null,"abstract":"Like many countries globally, the private rental sector in England and Wales contains some of the lowest quality and energy inefficient properties, despite being home to some of the most vulnerable households. We present a new data product that classifies small areas based on the energy (in)efficiency characteristics of private rental properties. Newly available Energy Performance Certificate (EPC) data enables us to analyse detailed energy and housing characteristics for 3.9 million private rentals (∼78.8% of total sector), the most comprehensive dataset of its kind, using k-means clustering. Demographic datasets allow us to explore wider socio-spatial inequalities, and uncertainties associated with granular - but at-times incomplete - EPC data. The classification can be used to evidence how inefficiency is spatially concentrated and fragmented, with a diverse range of energy and housing conditions shaping the everyday lives of tenants.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"52 9","pages":"2316-2325"},"PeriodicalIF":3.1,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13038156/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147591049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ActiveCA: Time use data from the general social survey of Canada to study active travel. ActiveCA：来自加拿大综合社会调查的时间使用数据，用于研究积极旅行。

IF 3.1 3区经济学

Environment and Planning B: Urban Analytics and City Science Pub Date : 2025-08-25 eCollection Date: 2025-10-01 DOI: 10.1177/23998083251374724

Bruno Dias Dos Santos, Mahdis Moghadasi, Antonio Páez

{"title":"ActiveCA: Time use data from the general social survey of Canada to study active travel.","authors":"Bruno Dias Dos Santos, Mahdis Moghadasi, Antonio Páez","doi":"10.1177/23998083251374724","DOIUrl":"https://doi.org/10.1177/23998083251374724","url":null,"abstract":"This paper describes {ActiveCA}, an open data product with Canadian time use data. {ActiveCA} is an R data package that contains analysis-ready data related to active travel spanning almost 40 years, extracted from Cycles 2 (1986), 7 (1992), 12 (1998), 19 (2005), 24 (2010), 29 (2015), and 34 (2022) of the Time Use Survey (TUS) from the General Social Survey (GSS). Active travel episodes are characterized by mode, with walking being part of every cycle and bicycling starting in 1992. The attributes of active trips are the types of locations of origins and destinations, the duration of trips, and episode weights for expanding the trips to population-wide estimates. Based on the year of the survey, a variety of locations are coded. In earlier cycles, these include home, work or school, and other's home, whereas in later cycles these are augmented with locations such as grocery stores, restaurants, outdoor destinations, and others. The geographical resolution includes the province and whether the episode was in an urban or rural setting.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"52 8","pages":"2037-2047"},"PeriodicalIF":3.1,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13046238/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147622068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Revealing emotional responses to urban environmental elements through street view data and deep learning. 通过街景数据和深度学习揭示对城市环境元素的情感反应。

IF 3.1 3区经济学

Environment and Planning B: Urban Analytics and City Science Pub Date : 2025-06-05 DOI: 10.1177/23998083251348280

Li-Chih Ho, Yin-Ting Wei, Dongying Li, Yen-Cheng Chiang

{"title":"Revealing emotional responses to urban environmental elements through street view data and deep learning.","authors":"Li-Chih Ho, Yin-Ting Wei, Dongying Li, Yen-Cheng Chiang","doi":"10.1177/23998083251348280","DOIUrl":"10.1177/23998083251348280","url":null,"abstract":"Environmental characteristics affect how individuals perceive an environment, and the emotions created by environmental characteristics originate from subjective feelings. Despite cities being crucial human living spaces, few studies have used geospatial technology to determine the relationship between urban environments and emotions. Therefore, this study explored the effects of urban environmental characteristics on emotions by surveying 50 sampling areas in Taipei City. Deep learning was performed with the DeepLab V3 architecture in combination with the LaDeco tool to identify environmental characteristics in over 200,000 Google Street View (GSV) images. These characteristics were divided into five major types, namely, vegetationscapes, waterscapes, streetscapes, landformscapes, and archiscapes, then further classified into 53 categories. To identify the emotions related to urban environments, 2090 participants who were asked to view GSV videos and report their emotions. Subsequent multiple regression analyses revealed that in vegetationscapes and waterscapes, grass and fountains induced positive emotions, whereas trees reduced negative emotions. Meanwhile, dense, old, and disorganized buildings, such as hovels, reduced positive emotions. The results of this study may serve as a reference to help designers create an urban environment that fosters positive emotions.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12629224/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145562486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the relationship between daytime and nighttime mobility and park visitation: A case study of Austin, TX. 探索白天和夜间交通与公园游客之间的关系：以德克萨斯州奥斯汀为例

IF 3.1 3区经济学

Environment and Planning B: Urban Analytics and City Science Pub Date : 2025-03-04 DOI: 10.1177/23998083251325909

Rui Zhu, Yang Song, Galen Newman

{"title":"Exploring the relationship between daytime and nighttime mobility and park visitation: A case study of Austin, TX.","authors":"Rui Zhu, Yang Song, Galen Newman","doi":"10.1177/23998083251325909","DOIUrl":"10.1177/23998083251325909","url":null,"abstract":"Urban green space disparities persist amid rapid urbanization, widening the supply-demand gap between parks and developed area. Population density is a critical determinant in estimating park visitors, defining suitable park locations, and allocating facilities for park accessibility. Conventionally, population density data were used as a foundational basis for urban green space planning decisions, often derived from sources like the US Census Bureau, primarily reflecting \"nighttime residential\" distribution. However, this approach fails to capture the dynamic urban life where daily routines and mobility significantly shape park usage. This study bridges this gap by exploring the relationship between daytime and nighttime mobility patterns and their influence on park visitations across diverse park types during weekdays, using Austin, TX as study area. Methodologically, we employ a fixed effects regression analysis integrating longitudinal data from SafeGraph for park visitation and LandScan USA for daytime-to-nighttime population density ratios, within 1 km buffers around each park. Control variables encompass socio-economic factors at the block group scale, park attributes, and weather conditions. Findings suggest that neighborhood and pocket parks demonstrate positive associations with daytime population density, while district and metropolitan parks exhibit stronger ties with nighttime population density. Further, median age, unemployment rate, and higher education attainment exhibit positive correlations with park visitation, especially during daytime. Park amenities, especially playgrounds and water features, significantly contribute to increased visitation across all park types. The findings offer valuable guidance for policymakers and urban planners, informing the reimagining of park distribution strategies, optimizing facilities, and fostering inclusive park spaces accessibility.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12412770/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145014215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Construction enthusiasts versus demolition giants: Insights from building footprint data in England. 建筑爱好者与拆除巨头：来自英国建筑足迹数据的见解。

IF 3.1 3区经济学

Environment and Planning B: Urban Analytics and City Science Pub Date : 2025-01-30 eCollection Date: 2025-07-01 DOI: 10.1177/23998083251317573

Xinyi Yuan, Ziqi Li, Ana Basiri, Mingshu Wang

引用次数: 0

Generating conceptual landscape design via text-to-image generative AI model. 通过文本到图像的生成AI模型生成概念性景观设计。

IF 3.1 3区经济学

Environment and Planning B: Urban Analytics and City Science Pub Date : 2025-01-27 DOI: 10.1177/23998083251316064

Xinyue Ye, Tianchen Huang, Yang Song, Xin Li, Galen Newman, Dayong Jason Wu, Yijun Zeng

引用次数: 0

A high-resolution global time series of street-network sprawl. 街道网络扩张的高分辨率全球时间序列。

IF 3.1 3区经济学

Environment and Planning B: Urban Analytics and City Science Pub Date : 2025-01-13 eCollection Date: 2025-07-01 DOI: 10.1177/23998083241306829

Christopher Barrington-Leigh, Adam Millard-Ball

{"title":"A high-resolution global time series of street-network sprawl.","authors":"Christopher Barrington-Leigh, Adam Millard-Ball","doi":"10.1177/23998083241306829","DOIUrl":"https://doi.org/10.1177/23998083241306829","url":null,"abstract":"Systems of street networks form a backbone for many aspects of human life and, once laid down, urban streets represent a nearly immutable influence on future urban form and concomitant travel, energy, and social outcomes. Moreover, as humanity is currently passing through its peak urbanization rate, decisions about how to design such networks at the local scale are being made faster than ever before. In this work, we quantify local street connectivity and provide a global, high-resolution time series of our Street Network Disconnectedness Index (SNDi) as an open data set. We derive a stylized version of the actual geographic road network from the 2023 vintage of OpenStreetMap by simplifying complex intersections, divided roads, and offset intersections. Using this functional representation of the network corrects systematic biases in derived properties of the network. We couple this simplified network with a newly available time series of urbanization in order to compute SNDi and provide a dynamic analysis to the year 2019 and a cross-sectional analysis for 2023. We release our data as the raw network of edges and nodes and as aggregates to a 1 km grid, to countries, and to five subnational administrative levels. We also provide interactive visualizations at sprawlmap.org. Overall, our findings present a picture of rapidly worsening street-network connectivity in many regions of the world.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"52 6","pages":"1525-1536"},"PeriodicalIF":3.1,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13043039/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147608448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Global Healthy and Sustainable City Indicators: Collaborative development of an open science toolkit for calculating and reporting on urban indicators internationally. 全球健康和可持续城市指标：协作开发用于计算和报告国际城市指标的开放科学工具包。

IF 3.1 3区经济学

Environment and Planning B: Urban Analytics and City Science Pub Date : 2024-12-02 eCollection Date: 2025-06-01 DOI: 10.1177/23998083241292102

Carl Higgs, Melanie Lowe, Billie Giles-Corti, Geoff Boeing, Xavier Delclòs-Alió, Anna Puig-Ribera, Deepti Adlakha, Shiqin Liu, Júlio Celso Borello Vargas, Marianela Castillo-Riquelme, Afshin Jafari, Javier Molina-García, Vuokko Heikinheimo, Ana Queralt, Ester Cerin, Eugen Resendiz, Dhirendra Singh, Sebastian Rodriguez, Esra Suel, Marc Domínguez-Mallafré, Yang Ye, Amanda Alderton

{"title":"Global Healthy and Sustainable City Indicators: Collaborative development of an open science toolkit for calculating and reporting on urban indicators internationally.","authors":"Carl Higgs, Melanie Lowe, Billie Giles-Corti, Geoff Boeing, Xavier Delclòs-Alió, Anna Puig-Ribera, Deepti Adlakha, Shiqin Liu, Júlio Celso Borello Vargas, Marianela Castillo-Riquelme, Afshin Jafari, Javier Molina-García, Vuokko Heikinheimo, Ana Queralt, Ester Cerin, Eugen Resendiz, Dhirendra Singh, Sebastian Rodriguez, Esra Suel, Marc Domínguez-Mallafré, Yang Ye, Amanda Alderton","doi":"10.1177/23998083241292102","DOIUrl":"10.1177/23998083241292102","url":null,"abstract":"Measuring and monitoring progress towards achieving healthy, equitable and sustainable cities is a priority for planners, policymakers and researchers in diverse contexts globally. Yet data collection, analysis, visualisation and reporting on policy and spatial indicators involve specialised knowledge, skills, and collaboration across disciplines. Integrated open-source tools for calculating and communicating urban indicators for diverse urban contexts are needed, which provide the multiple streams of evidence required to influence policy agendas and enable local changes towards healthier and more sustainable cities. This paper reports on the development of open-source software for planning, analysis and generation of data, maps and reports on policy and spatial indicators of urban design and transport features for healthy and sustainable cities. We engaged a collaborative network of researchers and practitioners from diverse geographic contexts through an online survey and workshops, to understand and progressively meet their requirements for policy and spatial indicators. We outline our framework for action research-informed open-source software development and discuss benefits and challenges of this approach. The resulting Global Healthy and Sustainable City Indicators software is designed to meet the needs of researchers, planners, policy makers and community advocates in diverse settings for planning, calculating and disseminating policy and spatial urban indicators.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"52 5","pages":"1252-1270"},"PeriodicalIF":3.1,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13035218/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147591020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The importance of the social environment on leisure destination choice: A mixed multinomial analysis of homophilic preferences. 社会环境对休闲目的地选择的重要性：同性偏好的混合多项分析。

IF 3.1 3区经济学

Environment and Planning B: Urban Analytics and City Science Pub Date : 2024-11-29 eCollection Date: 2025-09-01 DOI: 10.1177/23998083241303198

Benjamin Gramsch-Calvo, Kay W Axhausen

{"title":"The importance of the social environment on leisure destination choice: A mixed multinomial analysis of homophilic preferences.","authors":"Benjamin Gramsch-Calvo, Kay W Axhausen","doi":"10.1177/23998083241303198","DOIUrl":"https://doi.org/10.1177/23998083241303198","url":null,"abstract":"Individuals are fond of belonging to a social environment with a similar social background, which can impact the individual's decision to visit specific venues for leisure activities. Using data from Zurich, we have measured the preference for a social environment in four categories of leisure venues: restaurants, cafes, bars, and nightclubs; the estimation was performed using a mixed multinomial logit model to see how homophily for socioeconomic characteristics can impact the decisions of choosing a leisure venue. The models included three homophilic preferences: age, income, and cultural origin as variables of interest. The results show a positive impact of the three variables in different degrees: age is the most relevant in the two venue categories, income only impacts when individuals choose restaurants or cafes, and cultural background is more relevant for nightlife venues. These results show that the sociodemographic characteristics of the social environment are relevant for the choice of leisure destinations. These findings can contribute to the formulation of policies to create more diverse leisure environments and socially cohesive communities.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"52 7","pages":"1650-1668"},"PeriodicalIF":3.1,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13044486/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147622131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0