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

Impacts of bus rapid transit (BRT) on income-segmented housing markets in El Paso, Texas: A spatial hedonic and difference-in-differences analysis. 德克萨斯州埃尔帕索市快速公交对收入细分住房市场的影响：空间享乐主义和差异中的差异分析

IF 2.9 3区经济学

Environment and Planning B: Urban Analytics and City Science Pub Date : 2025-10-16 eCollection Date: 2026-09-01 DOI: 10.1177/23998083251389078

Youngre Noh, Hanwool Lee, Yang Song, Chanam Lee, Wei Li

{"title":"Impacts of bus rapid transit (BRT) on income-segmented housing markets in El Paso, Texas: A spatial hedonic and difference-in-differences analysis.","authors":"Youngre Noh, Hanwool Lee, Yang Song, Chanam Lee, Wei Li","doi":"10.1177/23998083251389078","DOIUrl":"10.1177/23998083251389078","url":null,"abstract":"This study evaluates the impact of introducing the Bus Rapid Transit (BRT) system on housing market dynamics across three diverse urban corridors in El Paso, Texas, utilizing spatial hedonic pricing and AITS-DID models. The research aims to understand how the BRT system influences property values, hypothesizing that the effects vary between developed and underdeveloped areas. Initial findings reveal an increase in property values in the affluent Mesa area until the BRT opening in 2014, followed by a decline, suggesting a shift in market perceptions post-implementation. Conversely, less affluent areas along the Alameda and Dyer corridors exhibit a reduction in the negative impact on property values over time, indicating growing appreciation for the BRT and associated urban improvements. The study contributes to urban planning and policy by highlighting the mixed impacts of BRT systems on property values across different urban fabrics and underscores the importance of context-sensitive transit planning. It also points to the necessity for comprehensive communication with stakeholders to ensure transit solutions meet community needs and support equitable urban development.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"53 7","pages":"1449-1466"},"PeriodicalIF":2.9,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13552924/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148910652","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

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 2.9 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

What drives you to relocate your home? Investigating preferences and residential mismatching of recent (prior to COVID and during-after COVID) movers in the Greater Toronto Area. 是什么驱使你搬家？调查大多伦多地区最近（在COVID之前和之后）搬家者的偏好和住宅不匹配。

IF 2.9 3区经济学

Environment and Planning B: Urban Analytics and City Science Pub Date : 2025-09-11 eCollection Date: 2026-07-01 DOI: 10.1177/23998083251378327

Yicong Liu, Saeed Shakib, Christopher D Higgins, Steven Farber, Eric J Miller, Khandker Nurul Habib

{"title":"What drives you to relocate your home? Investigating preferences and residential mismatching of recent (prior to COVID and during-after COVID) movers in the Greater Toronto Area.","authors":"Yicong Liu, Saeed Shakib, Christopher D Higgins, Steven Farber, Eric J Miller, Khandker Nurul Habib","doi":"10.1177/23998083251378327","DOIUrl":"10.1177/23998083251378327","url":null,"abstract":"This paper presents a survey of homeowners and renters who moved within or into the Greater Toronto Area (GTA), Canada, since January 2016. This timeline covers pre- and during-COVID movers. The survey investigates households' residential preferences and the potential dissonance between their preferred and actual residential location choices. The respondents are asked to answer questions about their previous and current residences, their housing search, and hypothetical residential location choices given the option of telecommuting. Empirical analysis of the actual and hypothetical residential location choices is conducted through a joint revealed preference and stated preference (RP-SP) error component mixed logit model. The model estimations identify discrepancies between RP and SP choices, indicating the presence of residential dissonance. The positive effect of transit accessibility variables shows that people are more likely to choose residential locations with better accessibility. However, dissonance in transit accessibility is found in both models, suggesting homeowners and renters may settle for lower accessibility in real life. Moreover, the model results show that homeowners and renters are more likely to relocate when working remotely, indicating the significant influence of telecommuting on residential dissonance.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"53 6","pages":"1242-1258"},"PeriodicalIF":2.9,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13524323/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148849996","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

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 2.9 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

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 2.9 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":"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":2.9,"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 2.9 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":2.9,"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 2.9 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":"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":2.9,"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