Applied Spatial Analysis and Policy最新文献

{"title":"Tourist Sentiment in Bali Before and During COVID-19: A Spatial-Temporal and Thematic Analysis Using Twitter Data","authors":"Raidah Hanifah,&nbsp;Sebastian Schmidt,&nbsp;Christina Zorenböhmer,&nbsp;Dorian Arifi,&nbsp;Bernd Resch,&nbsp;Nick Malleson,&nbsp;Victoria Houlden,&nbsp;Alexis Comber","doi":"10.1007/s12061-026-09886-0","DOIUrl":"10.1007/s12061-026-09886-0","url":null,"abstract":"<div><p>The COVID-19 pandemic significantly disrupted global tourism, impacting visitor perceptions and destination reputations. To quantify the impacts for the Indonesian tourism centre Bali, this study examines 3.98 million georeferenced Twitter posts from 2019 to 2021, analysing temporal shifts, spatial distribution, and thematic associations across key tourism topics. Using a RoBERTa-based sentiment classification model, we identify variations between domestic and international tourists, revealing a dominant but fluctuating positive sentiment that declined among international visitors during the pandemic. At key phases of the crisis, tourist sentiment became more aligned, reflecting heightened uncertainty. Spatially, Kuta, Denpasar, and Ubud remained central hubs for both positive and negative sentiment, with persistent concerns regarding waste management and traffic congestion. Topic-based analysis highlighted strong positive sentiment toward ‘Attractions’ and ‘General’ tourism aspects, while ‘Accessibility’ and ‘Amenities’ received more criticism. Additionally, sentiment trends varied by nationality, with UK and US tourists expressing more negative sentiment, while Singaporean and Filipino visitors remained consistently positive. These insights offer valuable guidance for Bali’s post-pandemic recovery, emphasising sustainable tourism management, targeted marketing, and infrastructure improvements.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-026-09886-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uncertainties of Predicting the Potential Geographical Distribution of Species Invasion by Considering Random Errors in Environmental Factors","authors":"Jian Xie,&nbsp;Haifeng Zhang,&nbsp;Wentao Yang","doi":"10.1007/s12061-026-09880-6","DOIUrl":"10.1007/s12061-026-09880-6","url":null,"abstract":"<div><p>Predicting the potential geographical distribution of alien invasive species is essential for effective prevention and management of biological invasions. Existing invasive species prediction (ISP) models typically utilize original data of environmental factors directly as inputs, which may introduce uncertainty into predictive outcomes due to inherent random errors in the data. However, such random errors are often overlooked in ISP modeling, potentially compromising the reliability of spatial distribution predictions. This study examines the impact of random errors in environmental factors on uncertainty in modeling and predicting species distributions. We first applied low-pass filtering to original environmental data to reduce random errors, while also introducing varying proportions of random noise to amplify error effects. Using presence-absence data of invasive species, we constructed multiple ISP models based on different machine learning algorithms. The case study in the Yangtze River Economic Belt, China, demonstrated that low-pass filtering effectively reduces random errors in environmental data of invasive species <i>Erigeron annuus</i>, thereby diminishing ISP uncertainty. Conversely, as the proportion of random errors increases from 5% to 20%, ISP uncertainty progressively escalates. Both the choice of machine learning models and the magnitude of random errors significantly influence ISP modeling outcomes. Furthermore, in the analysis of ISP interpretability uncertainty using the SHAP method that quantifies each environmental factor’s importance, it was observed that an increase in random errors causes deviations in environmental factor importance values and even changes in the dominant environmental factor. This research provides valuable insights for achieving more accurate and reliable predictions of potential geographical distributions of invasive species.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporary and Persistent Travel Mode Shifts Under External Disruption","authors":"Wenyang Hao,&nbsp;Jianhong Ye,&nbsp;Daoge Wang","doi":"10.1007/s12061-026-09881-5","DOIUrl":"10.1007/s12061-026-09881-5","url":null,"abstract":"<div><p>This study investigates how a major public health crisis reshapes urban travel behavior, focusing on two questions: which groups exhibit long-term versus short-term shifts in travel modes, and what factors drive these shifts or the decision to maintain previous modes. It also explores how remote work adopted during the crisis may influence future travel choices. Using retrospective travel behavior data from Shanghai across pre-crisis, acute, and normalized phases, the results show that users of private cars and non-motorized modes are more resilient, exhibiting a much lower propensity to shift away from their pre-crisis modes. In contrast, public transport users, particularly regular bus commuters, are more likely to experience persistent changes. Key determinants of these shifts include socio-economic characteristics, household composition, pre-crisis car ownership, and commute distance. The analysis further shows that the number of days working from home during the normalized phase significantly increases future willingness to work remotely, which in turn affects expected travel behavior. By explicitly distinguishing short-term adaptations from long-term behavioral change within the same cohort, this study contributes to a deeper understanding of how major public health crises can alter the co-evolution of human activity and the urban transport system, and provides evidence to support resilient, family-friendly, and multimodal transport policies.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Terrain and Socioeconomic Factors on Travel Distance Across Age Groups: a Study Using Mobile Signal Data from a Mountainous City","authors":"Yang Liu,&nbsp;Hang Liu,&nbsp;Zhen Liu,&nbsp;Mingwei He,&nbsp;Zhuoya Hu,&nbsp;Zhuangbin Shi","doi":"10.1007/s12061-026-09882-4","DOIUrl":"10.1007/s12061-026-09882-4","url":null,"abstract":"<div><p>Travel distance is a key indicator of human activity, reflecting individuals’ access to urban resources and their interactions with the built environment. Understanding its variation across demographic groups is particularly important in mountainous cities, where terrain constrains mobility and shapes spatial development. However, limited attention has been paid to how built environment, socioeconomic and topographic conditions jointly influence travel behaviour across age groups in rapidly urbanising contexts. This study addresses this gap by integrating mobile phone signaling data with a nonlinear modelling framework to analyse travel distance across different age groups in Guiyang, a representative mountainous city in China. The results show significant age-based differences in travel distance, peak travel times and the effects of built environment, socioeconomic, and topographic factors. The effective service ranges of major activity centres vary across age groups, and several factors, including nighttime light intensity, distance to the central business district, and employment density, exhibit pronounced nonlinear and threshold effects on travel distance. Younger and middle-aged groups are more strongly associated with employment accessibility, whereas older adults are more closely related to population density. These findings contribute to a better understanding of age-differentiated travel behaviour in mountainous urban contexts and provide empirical support for more age-friendly urban planning and transport policies.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital Innovation Network Embedding and Urban Economic Development: Empirical Evidence from China","authors":"Jian Han,&nbsp;Lin Tang,&nbsp;Ruoxi Dai","doi":"10.1007/s12061-026-09883-3","DOIUrl":"10.1007/s12061-026-09883-3","url":null,"abstract":"<div><p>This paper depicted the urban digital innovation network and empirically examined the impact of network embedding on urban economic development by patent cooperation data in the digital economy from 2012 to 2022. Results finds that Embedding in the digital innovation network significantly promoted urban economic development and mainly operates through enhancing cities’ key digital technology innovation capacity. Besides, knowledge breadth plays a positive moderating role on urban economic development and key digital technology innovation. The “five major urban agglomerations,” regions with strong intellectual property protection, cities on the southeast side of the “Hu Huanyong Line,” and industrial cities benefit more. From a network perspective, this study underscored the importance of digital innovation networks for economic development, providing both theoretical and empirical evidence for cities to actively integrate into digital innovation networks and overcome geographical and administrative barriers between them.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Asymmetric Relationships Between Attribute Performance and Pedestrian Satisfaction Among Older Adults: Implications for Age-Friendly Walkability","authors":"Linchuan Yang,&nbsp;Haosen Yang,&nbsp;Jianqiang Cui,&nbsp;Yisheng Peng,&nbsp;Qinran Yang","doi":"10.1007/s12061-026-09877-1","DOIUrl":"10.1007/s12061-026-09877-1","url":null,"abstract":"<div><p>Creating a supportive walking environment for older adults has emerged as an urgent priority for policymaking and urban planning. Nevertheless, existing research remains limited in systematically investigating older adults’ perceptions of the walking environment. This study collected 1,012 valid questionnaires in Chengdu, China, to examine the asymmetric relationship between the performance of 15 walking environment attributes and older pedestrians’ overall satisfaction. Grounded in the three-factor theory, a series of dummy-variable regression models was applied to identify the factor structure of walking environment attributes across different community types, based on which improvement priorities for age-friendly walkability were derived. The results reveal that access to living services represents a basic factor in the full sample as well as in both new and old communities. For new communities, priority should be given to improving seat availability and access to leisure facilities, whereas for old communities, emphasis should be placed on enhancing seat availability and walkway smoothness. By translating these empirical findings into targeted environmental interventions, this study provides actionable insights for improving pedestrian satisfaction among older adults and supporting the development of more inclusive, age-friendly communities.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147796777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Built Environment Inequality and the Spatial Structure of Digital Mobility Networks Evidence from Shared Bicycle Systems in Shenzhen","authors":"Yuhang Xia,&nbsp;Ying Zhang","doi":"10.1007/s12061-026-09874-4","DOIUrl":"10.1007/s12061-026-09874-4","url":null,"abstract":"<div>\u0000 \u0000 <p>Shared bicycle systems are increasingly central to sustainable urban mobility, yet they often reflect and amplify spatial inequalities in the built environment. Existing studies focus on static correlations between urban features and mobility, relying on linear models and uniform spatial assumptions, leaving unclear how local inequalities shape the emergent structure of digital mobility networks. This study investigates how built environment inequality shapes the spatial structure of digital mobility networks, using dockless bike-sharing in Shenzhen as an empirical case. To capture complex nonlinear and spatially heterogeneous effects, we employ a hybrid analytical strategy integrating XGBoost-SHAP for feature importance and nonlinear interpretation, and Geographically Weighted Gaussian Process Regression for continuous spatial heterogeneity analysis. Our findings reveal that built environment inequality nonlinearly and spatially heterogeneously molds digital mobility networks. Inequalities in transport and service facilities emerge as dominant drivers, producing monotonic, threshold, and saturation effects that vary across network dimensions. Core urban areas experience amplified network intensity, connectivity, and destination diversity, while peripheral zones show attenuated or suppressive effects, reflecting a pronounced core-periphery gradient. These findings provide empirical evidence for designing inclusive, network-oriented urban mobility policies that account for multidimensional and spatially contingent inequalities.</p>\u0000 </div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The logic of pollution has changed: a new paradigm of PM2.5 exposure dominated by human footprints","authors":"Hongsheng Chen,&nbsp;Wentao Xiang,&nbsp;Zihao Wang,&nbsp;Junle Huang,&nbsp;Li Li","doi":"10.1007/s12061-026-09876-2","DOIUrl":"10.1007/s12061-026-09876-2","url":null,"abstract":"<div>\u0000 \u0000 <p>In conventional air pollution research, natural dispersion, industrial emissions, and ecological absorption are typically regarded as the dominant mechanisms shaping PM_2.5 exposure. However, under conditions of intensified human intervention in the Earth’s surface, this logic is undergoing a paradigmatic shift. Drawing on multi-regional panel data from China spanning 2015–2022, this study develops a machine learning model with PM_2.5 concentrations as the outcome variable. By incorporating the Human Footprint Index (HF), alongside a suite of ecological, meteorological, and socio-economic variables, the analysis seeks to identify the associated mechanisms underlying pollution anomalies. The results indicate that: (1) at the global scale, the Human Footprint Index (HF) surpasses all natural and socio-economic variables, emerging as the primary determinant of PM_2.5 exposure; (2) the effect of HF exhibits pronounced regional heterogeneity, with a strong positive structure observed in Central and Northeastern China, while in the Eastern region the effect tends towards neutrality due to more favourable dispersion conditions and intensified governance, and although the overall contribution in the Western region remains relatively low; (3) the marginal pollution effect of HF demonstrates a nonlinear threshold pattern, appearing buffered or insensitive at low-intensity levels, but rising sharply in pollution risk once a critical threshold is exceeded. The findings suggest that the explanatory logic of air pollution is shifting towards a new paradigm centred on the Human Footprint. Accordingly, this study advocates the development of a pollution early-warning and governance framework that is sensitive to the intensity of human activity and grounded in the identification of spatial threshold effects. The analysis further demonstrates the theoretical and practical potential of interpretable machine learning for uncovering pollution-related mechanisms and informing regionally differentiated policy design.</p>\u0000 </div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147796488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamics of Human Activity and Trade Dependency in Border Areas: Evidence from Yunnan, China","authors":"Yingxin Li,&nbsp;Zhiding Hu,&nbsp;Hongwu Liu,&nbsp;Wenjie Du,&nbsp;Pujuan Wan","doi":"10.1007/s12061-026-09871-7","DOIUrl":"10.1007/s12061-026-09871-7","url":null,"abstract":"<div>\u0000 \u0000 <p>Border regions constitute critical frontiers for national development, requiring comprehensive understanding of elemental dynamics and their interactions to ensure effective border governance and national security. Previous research inadequately addressed the evolutionary complexities of border systems. Applying relational motion theory operationalized through human footprint intensity and trade dependency indices, this study examines spatiotemporal dynamics in Yunnan’s border zone (2000–2020) using Sen’s slope estimator, Mann-Kendall trend test, and correlation analysis. Results reveal: (1) Human footprints demonstrate a significant increasing trend temporally with spatial multi-nuclei dispersion, concentrated predominantly in Dehong (China-Myanmar border) and Northwest Vietnam, particularly at border ports/towns; (2) Trade dependency shows a volatile upward trajectory characterized by high interannual variability driven by domestic/international factors; (3) Despite initial strong correlation between human footprints and trade dependency, their responsiveness exhibits gradual weakening over time; (4) Endogenous influences fluctuate temporally, with both factors significantly shaping borderland transformations. This research provides theoretical-methodological innovation by quantifying synergistic evolution dynamics in Southwest China’s borders.</p>\u0000 </div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rethinking Urban Growth: The Pivotal Role of Urban Spatial Structure in China’s Ecological Welfare Evolution","authors":"Haiguo Zhong,&nbsp;Qixuan Li,&nbsp;Xuan Zou","doi":"10.1007/s12061-026-09872-6","DOIUrl":"10.1007/s12061-026-09872-6","url":null,"abstract":"<div>\u0000 \u0000 <p>The coordinated development of promoting economic growth, ecological protection, and social welfare is essential for achieving high-quality urban development. This paper utilizes the Super-NSBM network model and window analysis method to assess the Ecological Welfare Performance(EWP) of 285 Chinese cities from 2005 to 2021, and examines the heterogeneous impacts of urban spatial structure and population size on EWP. The study’s findings are as follows: (1) The spatial distribution of EWP in Chinese cities has shifted from a pattern of “higher in the West and North, lower in the East and South” to a “Central rise” pattern, leading to a more balanced overall distribution; (2) Monocentric spatial structure is benefits to improve EWP but shows heterogeneity across different structure-size combinations. Emphasizing monocentricity in small and medium-sized cities and polycentricity in large cities both contribute positively to improving EWP. (3) Throughout the urban lifecycle, the effect of the monocentric spatial structure on EWP follows an inverted “U” shape. The positive effects of the monocentric structure on EWP gradually diminish as population size increases. (4) The internal mechanism indicates that the monocentric structure in small and medium-sized cities enhances EWP through three channels: promoting industrial structure upgrading, reducing energy utilization intensity, and improving fiscal expenditure efficiency, which does not hold true in large cities. This study provides decision-making references for selecting optimal spatial development strategies for cities at various development stages, and also provides planners with spatial planning ideas that coordinate economy, ecology, and people’s livelihood.</p>\u0000 </div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}