Suburban Research Articles

Parent-teacher relationship and students' learning engagement in China: A longitudinal study considering urban-suburban differences.

The importance of parent-teacher relationships has been well-discussed in Western contexts. It's still unclear whether and how parent-teacher relationships affect students' academic development, especially in the context of China's uneven development between urban and suburban areas. This study examined the urban-suburban differences in the influence of the parent-teacher relationships on students' learning engagement during the last 3 years of primary school to contribute to related policy and practice. Data were collected annually during the summer period in three waves from Grades 4 to 6. The sample included 1408 students (Mage = 10.35, SD = .48; 49.1% boys) paired with their mothers (Mage = 38.82, SD = 3.54), with 643 pairs from urban areas and 765 pairs from suburban areas in China. In each wave, the parents reported the frequency of contact with their child's teacher during the previous school year as well as the quality of their relationship, and the students reported their learning engagement. Latent growth models were used to examine the hypotheses. A statistically significant decline in learning engagement was seen only in suburban students, while the parent-teacher relationships seemed to increase for both suburban and urban participants. Latent growth modelling showed that the increasing levels of relationship quality reduced the decline in the suburban students' learning engagement, although the contact between parents and teachers did not play such a positive role for both urban and suburban students. The findings reveal a compensatory effect of the quality of the parent-teacher relationship on suburban students' learning engagement. Considering the difference in students' learning engagement between urban and suburban students, increased effort on high-quality parent-teacher relationships for suburban students is required to better support their academic development.

Analysis of 4G/LTE Network Performance in North-Central Nigeria: A Comprehensive Drive Test Approach

The proliferation of mobile devices and escalating demand for data services have resulted in a substantial increase in data traffic across Nigeria, especially in the North Central region due to heavy migration of individuals and organizations towards Abuja, the federal capital. However, despite the growing adoption of 4G/LTE networks in North Central Nigeria, users encounter persistent challenges in accessing high-speed internet and poor service network. This study investigates the performance of 4G/LTE networks in North-Central Nigeria using a comprehensive drive test methodology carried out in Abuja, Lafia and Makurdi. It covered a duration of 3hrs (12.00noon to 15.00pm) for 3days (3rd - 6th January, 2024). For each test day, drive tests covered a period of data measurements divided into 3,600 time-steps, with each time-step sized at 1sec; and scaled to 1:150 units. Key metrics including network speed, latency, uptime, coverage, and signal power were evaluated across major Mobile Network Operators. Result shows that D-NGN has the highest mean speed (9.543Mbps), packet loss (2.007%), uplink percentage (97.714%), and Network coverage (87.514%). It has the least latency (25.921) but high packet loss (2.007%). However, C-NGN shows lowest mean speed (6.638Mbps), uplink percentage (38.706%) and Signal power (-78.057dBm) but lowest mean packet loss (0.121%). A-NGN has the highest mean signal power (-61.867dBm) while B-NGN has highest latency (44.070ms) and lowest Network coverage (60.731%). This reveals that D-NGN has dominance in network performance, outperforming A-NGN, B-NGN, and C-NGN. It is recommended that MNOs in North-Central Nigeria should strategically enhance their network infrastructure to improve service delivery, particularly in suburban and rural areas where performance lags. D-NGN, the frontrunner in network speed and coverage, could further solidify its market leadership by addressing identified latency and packet loss issues especially in Makurdi. Moreover, MNOs with lower performance metrics could invest in expanding coverage and optimizing network configurations to meet user demands, thereby increasing competitiveness and customer satisfaction across the region.

Two new reports of leucistic birds from Mexico

We present two new records of leucism in two bird species from two locations in Mexico. First, we report one leucistic Barn Swallow (Hirundo rustica); the individual was a nestling observed between 15 July and 6 August 2010, in a suburban area of central Jalisco, showing gray-whitish coloration and dark eyes. We also report of one leucistic Turkey Vulture (Cathartes aura) spotted during the afternoon of 4 November 2014, flying overhead while migrating in the city of José Cardel, Veracruz; the individual showed white primary feathers interspersed with dark secondaries, white primary coverts, white neck, and chest feathers. Our records represent the first Mexican report of leucism in the Barn Swallow, and the first published report of a leucistic vulture migrating across central Veracruz, respectively. Our observations also show that both leucistic individuals were accomplishing regular life-cycle activities, enriching the available knowledge of chromatic abnormalities in Mexican birds.

“LA HAINE”: CINEMATIC INSIGHTS INTO PERIPHERY INEQUITY AND FRENCH NATIONAL IDENTITY

The multicultural suburban areas, known as banlieues, surrounding French cities are marked by social inequalities, systemic discrimination, crime, and violence. Mathieu Kassovitz’s film “La Haine” (1995) is set in one such Paris suburb, capturing the daily lives of a group of multi-ethnic friends amidst escalating tensions between the French police and immigrant residents. The film “La Haine”, which received critical acclaim and won the César Award in 1996, serves as a powerful portrayal of life in the banlieues, capturing the essence of marginal inequality. By focusing on the contrasting experiences of suburban youth and the disparities between Paris and its outskirts, the film highlights societal issues that remain relevant even two decades later. This study uses “La Haine” as a lens to explore whether the challenges depicted in the film persist in contemporary society, demonstrating the enduring impact of marginal inequality. Through this analysis, the film emerges as a significant cultural artifact that challenges national identities in France.

The Spatial–Temporal Evolution of the Trade-Offs and Synergy between the Suburban Rural Landscape’s Production–Living–Ecological Functions: A Case Study of Jiashan in the Yangtze River Delta Eco-Green Integrated Development Demonstration Zone, China

The Yangtze River Delta is one of China’s most economically developed regions and includes parts of Jiangsu, Zhejiang, and Shanghai. The economic development of the Yangtze River Delta region is in a stage of rapid growth. As a unique intersection of urban and rural functions, contradictions are prominent. The production, life, and ecological functions of suburban rural landscapes are forming new trade-off and synergistic relationships. Therefore, it is of great significance to study the production–living–ecological function of the suburban rural landscape in the Yangtze River Delta region. Jiashan County is located in Jiaxing City, Zhejiang Province, and is an important part of the Yangtze River Delta region. Jiashan County, which has location advantages and economic development, can be used as a representative area to study the relationship between the production–living–ecological function of the suburban rural landscape in the Yangtze River Delta region. To evaluate the current status of the production–living–ecological functions of suburban rural areas in the Yangtze River Delta region and provide data support for future planning decisions in the Yangtze River Delta region, this study selected the suburban rural landscape of Jiashan as the research object and used temporal rank correlation analysis and spatial bivariate autocorrelation analysis to explore the evolution characteristics of the suburban rural landscape of Jiashan from 2000 to 2020. The results show that (1) the linear increase in the production and life functions of Jiashan rural areas has led to a decline in ecological functions, and life functions has been dominant. (2) There are trade-offs and synergistic relationships between the different functions of the suburban rural landscape of Jiashan, showing a temporal change pattern dominated by trade-offs. (3) The multifunctional trade-offs and synergistic relationships for the suburban rural landscape in Jiashan County exhibited obvious spatial pattern variability, and there were differences in how the streets and towns evolved. The relevant policies for the construction of ecological green comprehensive demonstration areas affect the economic, social, and ecological development of the Yangtze River Delta region, resulting in substantial differences in the types of and trends in the spatiotemporal evolution of the functional trade-off and synergistic relationships of the suburban rural landscape. Targeted measures should be taken according to the local conditions to guide the coordinated development of landscape functions.

Environmental impact assessment based on particulate matter, and chlorophyll content of urban trees.

The amount of dust deposited on tree leaves is a cost-effective indicator of air quality. Our aim was to explore the leaf surface deposition, and chlorophyll content of leaves along a road section that started at an intersection, and ended in a less disturbed suburban area in Debrecen, Hungary. We also assessed the impact of meteorological conditions on the amount of deposited dust. Leaf samples were collected in July, and September 2022 from Celtis occidentalis, a frequent species in green urban areas of Debrecen. We found a significant negative correlation between dust deposition, and the distance from the intersection in July. In September, dust deposition decreased considerably compared to July, due to rainfall before the second sampling. Surprisingly, we found a positive correlation between dust deposition and chlorophyll content in July. Our findings suggest that dust deposition on leaves serves as a reliable indicator of traffic intensity, because the excess dust caused by the proximity of vehicle traffic can be detected on the leaf surface. Although, rainfall can disrupt the patterns in dust deposition that have developed over an extended period through wash-off and resuspension. Hence, it is advisable to consider these effects while selecting the sampling time and evaluating the results.

Socio-spatial segregation in residents’ daily life: A longitudinal study in Beijing

Segregation studies based on human activity spaces have attracted increasing interest in urban geography and planning. Previously, most research employed variations in the geographical features of individuals' physical activity areas to ascertain social group segregation. A few studies have examined segregation based on one's activity space, comparing this over several years. This research conducts an empirical analysis based on people's activity space in Beijing to detect changes in segregation over time. We investigate activity space-based segregation among Beijing residents, separated into four housing categories for inner-city and suburban areas. The primary outcomes show residents living in different types of housing experience varying degrees of segregation when considering their activity spaces, which has progressed over the years. Furthermore, the findings show that the impact of changes in the built environment on the socio-spatial segregation of residents is gradually deepening, while the impact of institutional contexts such as danwei is gradually decreasing. In summary, this paper provides Beijing-based empirical evidence for this housing type differentiation and increasing segregation, which helps to enrich the understanding of activity space-based socio-spatial segregation of urban residents in China.

Development of a Utility Vehicle Express System Framework Using Design Thinking Process for the Province of Albay

Utility vehicle express or locally known as UV Express is a key mode of transportation in Albay, Philippines, offers cost-effective connectivity between urban and suburban areas. Composed of vans operating point-to-point from terminals, it serves routes connecting Legazpi with surrounding municipalities like Tabaco, Ligao, and Polangui. Its affordability and efficiency cater to students and workers, supporting both educational and economic activities. However, challenges such as overcrowding, long waits, and inconsistent scheduling persist, highlighting the need for service improvements. This study aims to address these issues through design thinking process that includes identifying the issues and tracing its root causes through 5 Why Analysis. A proposed framework is developed to modernize UV Express operations by replacing manual processes with digital solutions like a Booking System, GPS tracking, and passenger feedback integrated into a mobile app. This initiative enhances operational efficiency, aligns services with evolving transportation trends, and fosters competitiveness. Moreover, it prepares UV Express for further advancements, including usability assessments through pilot testing of the mobile application in Albay.

Vertical distribution of ozone in spring based on two high tower observations over the Pearl River Delta, China

This study investigates the vertical distribution characteristics of ozone (O3) in the Pearl River Delta (PRD) region during spring, utilising observational data from two tall towers in urban and suburban areas of the PRD, i.e., the 600 m high Canton Tower and the 356 m high Shenzhen Meteorology Gradient Tower (SZMGT), between 2018 and 2020. The observations indicate that the peak times of O3 concentrations differ under polluted and clean conditions, with polluted conditions showing 1–3 h later peaks compared with clean conditions. The diurnal variation in the O3 concentration is more pronounced at the SZMGT than at the Canton Tower. The O3 vertical gradients differ between the two towers, with the Canton Tower showing larger daytime gradients and the SZMGT showing larger nighttime gradients under polluted conditions. The vertical O3 distribution patterns are categorised into three types: Polluted, Moderate, and Good levels. The O3 concentration initially rises with altitude and then decreases under polluted conditions. Elevated O3 is observed in the lower planetary boundary layer (PBL), approximately between 110 and 210 m in height, where the concentration is 1.1–1.4 times higher than the surface level. Both the Moderate and Good levels occur under clean conditions, in which the O3 of the Canton Tower increases with altitude, whereas the O3 of the SZMGT first increases and then decreases with altitude. The correlation between O3 and the meteorological conditions (temperature, relative humidity, wind direction, and wind speed) decreases with increasing altitude. The cluster analysis of backward trajectories identifies three main transport paths affecting the O3 levels: northeasterly continental, southerly oceanic, and easterly coastal paths. Combining the observations from O3 lidar in Guangzhou and Shenzhen and two additional cities within the PRD region, Foshan and Zhongshan, the analysis of a typical pollution case indicates that different cities have different local chemical generation and regional transport contributions to O3 pollution. A conceptual model reflecting the horizontal transport paths and vertical structures of O3 pollution in the spring over the PRD is proposed, which enhances our understanding of the O3 vertical distribution in different cities and contributes to the analysis of the O3 pollution mechanism in the PRD agglomeration.

Contamination levels of water sources and the associated nitrate health risks to six age groups

Advancements in health risk assessment are vital for protecting public health. This study’s objectives were to analyze the degree of nitrate contamination, the multi-route health risks to six age groups, and the potential sources of water contaminants in a Nigerian suburban area. Nitrate pollution index (NPI) results were between −1.00 and 0.06, indicating low human impact. According to the nitrate health risk analysis, infants between the ages of 6 and 12 months were more vulnerable, whereas humans between the ages of 20 and > 60 have lower risks. This may be due to the fact that infants have bodily tissues that are more vulnerable to potentially toxic contaminants. For all six age categories, the risk associated with ingestion was greater than the risk associated with dermal contact. Varimax-rotated factor analysis with five principal component extractions revealed that the sources of the water contaminants varied from geogenic processes to human-initiated activities.

Fasting hypertriglyceridemia in relation to mortality in an elderly male Chinese population.

We investigated fasting hypertriglyceridemia as predictors of all-cause, cardiovascular, and non-cardiovascular mortality in an elderly male Chinese population, while accounting for various conventional cardiovascular risk factors. Our participants were elderly men recruited from residents living in a suburban town of Shanghai (≥60 years of age, n=1583). Hypertriglyceridemia was defined as a fasting serum triglycerides concentration ≥1.70mmol/L. Subgroup analyses were performed according to current smoking (yes vs. no), alcohol intake (yes vs. no), and the presence and absence of hypertension and hyperglycemia. During a median of 7.9 years follow-up, all-cause, cardiovascular, and non-cardiovascular deaths occurred in 279, 112, and 167 participants, respectively. After adjustment for confounding factors, fasting hypertriglyceridemia was not significantly (p ≥.33) associated with the risk of all-cause, cardiovascular, and non-cardiovascular mortality. However, there was significant (p=.03) interaction between hypertriglyceridemia and the presence and absence of hypertension in relation to all-cause mortality. In normotensive, but not hypertensive individuals, hypertriglyceridemia was significantly associated with a higher risk of all-cause mortality (hazard ratio 1.57, 95% confidence interval 1.06-2.31). In further non-parametric analyses in normotensive individuals, the age-standardized rate for all-cause mortality increased from 18.9 in quartile 1 to 20.0, to 24.7, and to 39.9 per 1000 person-years in quartiles 2, 3, and 4 of serum triglycerides concentration, respectively (ptrend=.0004). Similar results were observed for cardiovascular mortality. Our study in elderly male Chinese showed that fasting hypertriglyceridemia was associated with a higher risk of all-cause and cardiovascular mortality in patients with normotension but not those with hypertension.

Disaster loss index development and comprehensive assessment: A case study of Shanghai

Accurate measurement of socio-economic loss and the impact of disasters is crucial for effective risk assessment and management. This study introduces a Disaster Severity Index (DSI) and a Disaster Impact Index (DII), along with a composite severity matrix, to evaluate comprehensive disaster losses. By utilizing seven loss indicators across six types of natural disasters and socioeconomic indicators, we thoroughly assessed Shanghai’s historical disaster losses from 1978 to 2020. Our analysis reveals that Shanghai’s most severe annual disaster losses occurred in 1991 and 2005; however, the overall impact on the local socio-economy has been declining. According to the DSI, Chongming (0.88), Songjiang (0.64), and Qingpu (0.51) Districts exhibit the highest severity. In terms of the DII, Songjiang (0.87), Chongming (0.71), and Qingpu (0.64) Districts are most affected. The comprehensive disaster severity grading indicates that Chongming and Songjiang Districts experience the most severe impacts, while Huangpu and Xuhui Districts are less affected. The spatial distribution of disaster losses is concentrated in suburban areas, with less impact in the central city. Our methodology provides a framework for analyzing and comparing historical disaster losses in terms of time (inter-annual), space (administrative divisions), and types of disasters. It can also be used for statistical analysis and regular monitoring of disaster losses. This study not only elucidates the spatiotemporal distribution of historical disaster losses in Shanghai but also validates the efficacy of our comprehensive index models.

Mobility as a Service (MaaS) for university communities: Modeling preferences for integrated public transport bundles

In order to investigate the role that Mobility as a Service (MaaS) could play in university communities to reduce car dependency and moderate car-oriented travel behavior, this paper examines individuals’ stated interest in adopting MaaS bundles in academic environments, where its potential is still largely underexplored. The study involves a large-scale survey campaign carried out within a university community in Milan (Italy), comprising 1873 answers from faculty members, technical-administrative staff, and students. The paper discusses the factors affecting behavioral intentions towards a potential MaaS adoption on the basis of aggregate statistics and discrete choice models estimates. This research highlights that there is a real opportunity to market MaaS in university communities, but an accurate user-centered design of the MaaS solutions is needed, based on individuals’ preferences and actual mobility needs. Results suggest that MaaS has a broader potential user base among individuals under 35 years old and Public Transport subscribers, and that MaaS bundles involving shared mobility services are attractive by residents in the city center, while reserved parking at interchange facilities is more attractive to commuters coming from suburban areas.

Atmospheric observation and emission estimation of HFC-125 and HFC-32 in China from four representative cities

HFC-125 and HFC-32 are fluorinated greenhouse gases of great concern due to their high GWPs and increasing background atmospheric concentrations. Long-term atmospheric observations of HFC-125 and HFC-32 were carried out in four representative cities of China (Beijing, Guangzhou, Hangzhou, and Lanzhou) from January 2012 to October 2019. Overall, the annual mean atmospheric concentrations of HFC-125 and HFC-32 both showed increasing trends, with average rates of 4.8 ppt yr−1 and 7.9 ppt yr−1. The average concentrations of HFC-125 and HFC-32 in urban areas were significantly higher than those in suburban areas. Significant differences in atmospheric concentrations of the two HFCs were observed among the four cities. HFC-125 and HFC-32 emissions were estimated accordingly, averaging 6.2 Gg yr−1 (23.6 Mt. CO2-eq) and 5.7 Gg yr−1 (4.3 Mt. CO2-eq) during 2012 and 2019 and growing at rates of 0.8 Gg yr−1 (3.1 Mt. CO2-eq) and 0.8 Gg yr−1 (0.6 Mt. CO2-eq), respectively, with an increasing contribution to global radiative forcing. The bottom-up inventories of HFC-125 and HFC-32 in the four cities increased annually from 2012 to 2019, with the highest emissions in Beijing, while the top-down emissions fluctuated during the research period. SynopsisThe atmospheric concentrations of HFC-125 and HFC-32 were measured from 2012 to 2019 in four representative cities of China. Both HFC emissions at national and city levels were estimated using observation-based and inventory methods.

Global electric vehicle charging station site evaluation and placement based on large-scale empirical data from Germany

Electromobility is a key technology to decarbonize transportation and thereby avoid the worst impacts of anthropogenic climate change. To power such vehicles when away from their home or depot, public charging infrastructure is required which can be split into enroute and destination charging. We define the latter as charging events that occur while users are busy with other activities. To fulfill this purpose, chargers need to be placed in locations where people spend time. This paper introduces a novel approach to do so based on a neural network trained on several thousand public charging stations in Germany. Within the training sample, the approach is able to predict how much energy was charged per station and day with an R2 of 0.61 for the training set and a RMSE of 13 kWh/day. Using the network, we predict utilization across urban, suburban and industrial areas in Europe and make those predictions available through an easy-to-use web interface. It is further possible to perform predictions and, thereby, extrapolate the learnings from Germany to any country with sufficient OpenStreetMap data. The introduced holistic methodology with its prediction and visualization phase is a first-of-its-kind by applying large-scale measured charging data to the placement problem while being usable in areas which have not yet rolled out electromobility.

Rail accessibility and life satisfaction: Considering residential location and travel ability

The accessibility of urban rail systems in residential areas significantly impacts residents’ overall life satisfaction. Although many studies have examined the overall impact of rail accessibility on life satisfaction in various developed countries, few have focused on spatial heterogeneity and travel ability between rail accessibility and life satisfaction in developing countries. This study uses data from a 2017 activity-travel survey in Shanghai to examine the relationship between rail accessibility and residents’ life satisfaction in central urban and suburban areas with different travel abilities. It finds that both residential location and travel ability influence the impact of rail accessibility on life satisfaction. There are differences in the thresholds for rail accessibility among residents with different residential locations and private car ownership. These findings suggest that rail transit is a powerful tool for promoting the well-being in developing countries, and proper planning of rail station siting and land use is needed.

Seroprevalence of canid alphaherpesvirus-1 and associated risk factors in domestic dogs in North Queensland, Australia

Canid alphaherpesvirus-1 (CaHV-1) may cause a highly fatal haemorrhagic disease in neonatal pups and is associated with reproductive, respiratory and ocular disease in older dogs. Although assumed to have a world-wide distribution, there have been few reports of CaHV-1 in Australia. The aim of this study was to investigate the seroprevalence of CaHV-1 in household dogs in a residential suburb in Townsville, as well as in dogs attending two dog shows in the region. Study participants were recruited through door-to-door non-probability sampling (Douglas dogs, n = 185) or invited to participate (Show dogs; n = 76). Dog owners completed a questionnaire that investigated possible risk factors for recent exposure to CaHV-1. A serum sample from each dog was assayed for anti-CaHV-1 antibodies using a commercially available ELISA. Associations between seropositive dogs and owner-reported risk factors were analysed using univariable analysis and multivariable logistic regression models. The seroprevalence of CaHV-1 was 11.4 % (95 % CI 6.8–15.9 %) and 17.1 % (95 % CI 5.5–28.8) for the Douglas and Show dogs, respectively, with a pooled seroprevalence of 13 % (95 % CI 8.3–17.7 %). Dogs that had suffered from conjunctivitis within the previous 3 months or were involved in breeding were more likely to be seropositive to CaHV-1. No other significant risk factors were identified. In conclusion, CaHV-1 is circulating in dogs in North Queensland and may be contributing to foetal and neonatal losses in this region.

Scale Differences and Gradient Effects of Local Climate Zone Spatial Pattern on Urban Heat Island Impact—A Case in Guangzhou’s Core Area

With the continuous development of cities, the surface urban heat island intensity (SUHII) is increasing, leading to the deterioration of the urban thermal environment, increasing energy consumption, and endangering the health of urban residents. Understanding the spatio-temporal scale difference and gradient effect of urban spatial patterns on the impact of SUHII is crucial for improving the climate resilience of cities and promoting sustainable urban development. This paper investigated the characteristics of SUHII changes at different time periods based on local climate zones (LCZs) and downscaled land surface temperature (LST) data. Meanwhile, landscape pattern indicators and the multiscale geographically weighted regression (MGWR) model were utilized to analyze the impacts of urban spatial patterns on SUHII at multiple spatial–temporal scales. The results indicated that the SUHII of each LCZ type exhibited diverse patterns in different time periods. High SUHII occurred in summer daytime and autumn nighttime. Compact and high-rise buildings (LCZ1/2/4) showed markedly higher SUHII during the daytime or nighttime, except for heavy industry. The extent of influence and the dominant factors of LCZ spatial patterns on SUHII exhibit obvious scale differences and gradient effects. At the regional scale, highly regular and compacted built-up areas tended to increase SUHII, while single and continuously distributed built-up areas had a greater impact on increasing SUHII. At the local scale, the impact of the PLAND (1/2/4/5/10) on SUHII exhibited a trend of diminishing from urban to suburban areas. In urban areas, the PLAND of LCZ 1, LCZ 2, and LCZ4 was the major factor affecting the increase in SUHII, whereas, in suburban areas, the PLAND of LCZ 2 and LCZ 10 was the major influencing factor on SUHII. The results can provide a scientific reference for mitigating urban heat island effects and constructing an ecologically ‘designed’ city.

Uncovering the impacts of LUCC on ecological connectivity in suburban open-pit mining concentration areas: A pattern collection of changing relationships between ecological resistance and ecological network elements

The suburban open-pit mining concentration area couples two human activities, urban sprawl and open-pit mining, while destruction of surface vegetation and ecological restoration coexist. This has also resulted in complex land use shifts that significantly affect regional ecological connectivity. However, the impact of such complex Land use/land cover changes (LUCC) on ecological connectivity in this region is not well understood Therefore, this study takes the suburban open-pit mining concentration area of Jinan City as a case study and uses Land use/land cover (LULC) data from the years 2000, 2010, and 2020 to simulate the spatio-temporal evolution of ecological networks (ENs). Subsequently, a pattern collection of changing relationships was proposed that relate changes in ecological resistance to changes in EN elements, addressing the dynamic transmission process from "spatial field" to "spatial structure entity". Based on this approach, GeoDetector is employed to reveal the response extent of EN elements to LUCC. The results indicate: (1) In the past 20 years, the area of construction land has increased by 100 %, while mining land has increased by 69 %. This significant increase in LUCC has led to a notable enhancement in ecological resistance in the study area, driving the generation of 20 % more ecological pinch points and barriers. Additionally, it has resulted in a twofold increase in both the number and length of level 1 ecological corridors. (2) The dominant status and structure of grassland, agriculture land, and woodland remain relatively stable; however, the interflow among them has caused approximately 25 % of the ecological corridors to undergo changes such as disappearance and path alteration. (3) The implementation of ecological protection and restoration has led to a continuous increase in the area of ecological sources, particularly with the mining rehabilitation increasing by 32.7 times compared to 2000, thereby driving gradual improvement in 25 % of the ecological network elements. (4) Although the quantity and length of ecological corridors in the study area remain relatively stable, evaluation results indicate that its spatial structure is gradually deteriorating, with ecological connectivity decreasing by 7.7 %. This study highlights the importance of restoration of ecological processes in sub-urban open-pit mining concentration areas. The study results can provide a scientific basis for ecological restoration and sustainable development in resource-based cities.

Do two-wheeler riders propel towards autonomous driving? A path-based probabilistic study in Indian context

Regardless of the rational benefits of autonomous vehicle adoption towards mitigating mobility goals in urban and sub-urban areas of middle-income countries, adoption of such technology remains thought-provoking. Two wheeled vehicles are often utilized extensively all over the world for short distance trips in sub-urban areas. The present study investigates perceived risks of using four wheeled autonomous vehicles by captive two-wheeler riders for long and short distance trips in densely populated Indian cities. Theoretical autonomous vehicle technology acceptance models were modified considering Indian perceptions in this study. Offline stated preference responses were collected from various universities, open public spaces and governmental organizations of various cities within India. Structural equation models (SEM) and Random Forest (RF) were employed to generate meaningful insights from the surveys conducted. Random Forest (RF) analysis concluded that bicycle riders show medium to low levels of trust towards behavioural adoption intention of autonomous vehicles. According to proposed structural equation models, interest to adopt or willingness to buy autonomous vehicles for two wheeled vehicle users is mostly influenced by perceived trust and risk rather than perceived concerns/benefits for middle and old age groups in India. Perceived ease of use has the most significant marginal effects on two-wheeler riders' perceived risks towards autonomous vehicle adoption, which accounted for more than 20 % of unexplained variance. Results from this research may offer insightful diversity of attitudes towards adoption of autonomous vehicle technologies in India through the means of increased efficiency and reduced travel time and costs along with riders’ risks towards privacy and safety.