The Impact of the Built Environment on Bicycle Commuting: Evidence from Beijing

Urban Studies ◽  
2013 ◽  
Vol 51 (5) ◽  
pp. 1019-1037 ◽  
Author(s):  
Pengjun Zhao
Keyword(s):  
Built Environment ◽  
Bicycle Commuting ◽  
The Impact

The Impact of Zoning and Built Environment Characteristics on Transit, Biking, and Walking

2019 ◽  
Vol 11 (1) ◽  
pp. 108-129
Author(s):  
Andrew G. Mueller ◽  
Daniel J. Trujillo
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Discrete Choice ◽  
Travel Behavior ◽  
Choice Model ◽  
Mode Choice ◽  
Land Use Regulation ◽  
Policy Action ◽  
Development Goals ◽  
The Impact

This study furthers existing research on the link between the built environment and travel behavior, particularly mode choice (auto, transit, biking, walking). While researchers have studied built environment characteristics and their impact on mode choice, none have attempted to measure the impact of zoning on travel behavior. By testing the impact of land use regulation in the form of zoning restrictions on travel behavior, this study expands the literature by incorporating an additional variable that can be changed through public policy action and may help cities promote sustainable real estate development goals. Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. The results suggest that zoning can be tailored by cities to encourage reductions in auto usage, furthering sustainability goals in transportation.

Using Deep Learning to Understand Travel Demands in Different Urban Districts

2021 ◽  
pp. 036119812199458
Author(s):  
Shunhua Bai ◽  
Junfeng Jiao
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Prediction Accuracy ◽  
Travel Demand ◽  
Short Term Memory ◽  
Future Research ◽  
Demand Forecast ◽  
Time And Space ◽  
The University ◽  
The Impact

Travel demand forecast plays an important role in transportation planning. Classic models often predict people’s travel behavior based on the physical built environment in a linear fashion. Many scholars have tried to understand built environments’ predictive power on people’s travel behavior using big-data methods. However, few empirical studies have discussed how the impact might vary across time and space. To fill this research gap, this study used 2019 anonymous smartphone GPS data and built a long short-term memory (LSTM) recurrent neural network (RNN) to predict the daily travel demand to six destinations in Austin, Texas: downtown, the university, the airport, an inner-ring point-of-interest (POI) cluster, a suburban POI cluster, and an urban-fringe POI cluster. By comparing the prediction results, we found that: the model underestimated the traffic surge for the university in the fall semester and overestimated the demand for downtown on non-working days; the prediction accuracy for POI clusters was negatively related to their adjacency to downtown; and different POI clusters had cases of under- or overestimation on different occasions. This study reveals that the impact of destination attributes on people’s travel demand can vary across time and space because of their heterogeneous nature. Future research on travel behavior and built environment modeling should incorporate the temporal inconsistency to achieve better prediction accuracy.

scholarly journals IMPACT OF MEMENTO VALUE ON THE PERCEPTION OF CULTURAL HERITAGE: CASE STUDY OF THE MODERN MOVEMENT AND DIALECT OF KAUNAS / ATMINTIES VERTĖ SUVOKIANT KULTŪROS PAVELDĄ: MODERNIZMO JUDĖJIMO IR JO KAUNIETIŠKOJO DIALEKTO ATVEJO TYRIMAS

2018 ◽  
Vol 10 (0) ◽  
pp. 1-7
Author(s):  
Huriye Armagan DOGAN
Keyword(s):  
Built Environment ◽  
Cultural Heritage ◽  
Empirical Approach ◽  
The Past ◽  
Space And Time ◽  
The Impact ◽  
Modern Movement

Memento value in heritage is one of the most essential characteristics facilitating the association between the environment and its users, by connecting structures with space and time, moreover, it helps people to identify their surroundings. However, the emergence of the Modern Movement in the architectural sphere disrupted the reflection of memory and symbols which serve to root the society in its language. Furthermore, it generated an approach that stood against the practice of referring to the past and tradition, which led to the built environment becoming homogeneous and deprived of memento value. This paper focuses on the impact of memento value on the perception and evaluation of cultural heritage. Furthermore, it investigates the notions which are perceived to influence the appraisal of cultural heritage by applying them to the Kaunas dialect of the Modern Movement with an empirical approach.

scholarly journals Evacuation Data from a Hospital Outpatient Drill The Case Study of North Shore Hospital

2020 ◽  
Vol 5 ◽  
Author(s):  
Anass Rahouti ◽  
Ruggiero Lovreglio ◽  
Phil Jackson ◽  
Sélim Datoussaïd
Keyword(s):  
Built Environment ◽  
Fire Safety ◽  
Movement Time ◽  
Data Set ◽  
Healthcare Facilities ◽  
Staff Members ◽  
North Shore ◽  
The North ◽  
The Impact

Assessing the fire safety of buildings is fundamental to reduce the impact of this threat on their occupants. Such an assessment can be done by combining existing models and existing knowledge on how occupants behave during fires. Although many studies have been carried out for several types of built environment, only few of those investigate healthcare facilities and hospitals. In this study, we present a new behavioural data-set for hospital evacuations. The data was collected from the North Shore Hospital in Auckland (NZ) during an unannounced drill carried out in May 2017. This drill was recorded using CCTV and those videos are analysed to generate new evacuation model inputs for hospital scenarios. We collected pre-movement times, exit choices and total evacuation times for each evacuee. Moreover, we estimated pre-movement time distributions for both staff members and patients. Finally, we qualitatively investigated the evacuee actions of patients and staff members to study their interaction during the drill. The results show that participants were often independent from staff actions with a majority able to make their own decision.

scholarly journals Indoor air quality improvement and purification by atmospheric pressure Non-Thermal Plasma (NTP)

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Prince Junior Asilevi ◽  
Patrick Boakye ◽  
Sampson Oduro-Kwarteng ◽  
Bernard Fei-Baffoe ◽  
Yen Adams Sokama-Neuyam
Keyword(s):  
Air Quality ◽  
Built Environment ◽  
Indoor Air Quality ◽  
Removal Efficiency ◽  
Indoor Air ◽  
Thermal Plasma ◽  
Processing Parameters ◽  
Optimum Conditions ◽  
Non Thermal Plasma ◽  
The Impact

AbstractNon-thermal plasma (NTP) is a promising technology for the improvement of indoor air quality (IAQ) by removing volatile organic compounds (VOCs) through advanced oxidation process (AOP). In this paper, authors developed a laboratory scale dielectric barrier discharge (DBD) reactor which generates atmospheric NTP to study the removal of low-concentration formaldehyde (HCHO), a typical indoor air VOC in the built environment associated with cancer and leukemia, under different processing conditions. Strong ionization NTP was generated between the DBD electrodes by a pulse power zero-voltage switching flyback transformer (ZVS-FBT), which caused ionization of air molecules leading to active species formation to convert HCHO into carbon dioxide (CO2) and water vapor (H2O). The impact of key electrical and physical processing parameters i.e. discharge power (P), initial concentration (Cin), flow rate (F), and relative humidity (RH) which affect the formaldehyde removal efficiency (ɳ) were studied to determine optimum conditions. Results show that, the correlation coefficient (R2) of removal efficiency dependence on the processing parameters follow the order R2 (F) = 0.99 > R2 (RH) = 0.96, > R2 (Cin) = 0.94 > R2 (P) = 0.93. The removal efficiency reached 99% under the optimum conditions of P = 0.6 W, Cin = 0.1 ppm, F = 0.2 m3/h, and RH = 65% with no secondary pollution. The study provided a theoretical and experimental basis for the application of DBD plasma for air purification in the built environment.

scholarly journals Using interactive technologies and distance learning in sustainable education

2021 ◽  
Vol 250 ◽  
pp. 07003
Author(s):  
Anna Rybakova ◽  
Aleksandra Shcheglova ◽  
Denis Bogatov ◽  
Liudmila Alieva
Keyword(s):  
Higher Education ◽  
Distance Learning ◽  
Built Environment ◽  
Social Life ◽  
Learning Experience ◽  
Theoretical Research ◽  
Personal Contact ◽  
Interactive Technologies ◽  
Sustainable Education ◽  
The Impact

This paper focuses on the use of interactive technologies and distance learning in sustainable education. It discusses how remote learning technologies can positively influence students’ learning and entry in sustainable education. The paper looks at the use of distance learning in higher education as a means to help students in the built environment and its use within the education system. It studies and expands the theoretical research on the benefits of distance learning, where the study is remote and there is no personal contact with staff or students, and examines the impact of distance learning on the student’s learning experience. It also proposes and evaluates potential solutions to overcome the barriers to learning in the built environment and create successful virtual learning communities, recognising that such improvements must be reconciled with the primary benefits identified. The paper provides an overview of sustainable distance learning within higher education and discusses the differences between learning outside the structural environment of a profession, what it means for the student’s learning experience and the potential to overcome barriers to distance learning. This is a very timely topic in the times of COVID-10 pandemic. Lockdowns of the economy and social life impacted all spheres of education with schools and universities closed for long periods of time and all teaching moved to online and distance mode. However, coronavirus pandemic also brought the digital surge in the system of education, including the sustainable education. All these innovations might stay after the pandemic and help the education to evolve and to embrace more novel trends and technologies.

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