IDEAS home Printed from https://ideas.repec.org/b/pid/pbooks/202210.html
   My bibliography  Save this book

RASTA Local Research, Local Solutions: Urban Development, Volume II

Editor

Listed:
  • Nadeem Ul Haque
    (Pakistan Institute of Development Economics, Islamabad.)

  • Faheem Jehangir Khan
    (Pakistan Institute of Development Economics, Islamabad.)

Abstract

Research studies related to urban microclimate are gaining popularity due to recent climate changes and rapid urbanization. Streets are the basic elements of a complex urban-build environment and are usually considered of simple rectangular shape, commonly known as the "urban canyon” (UC). The street orientation and geometry have a significant effect on wind and heat distribution inside an urban street canyon which in return affects the building’s energy performance and its natural and hybrid ventilation efficiencies. It also affects pedestrian comfort, pollutant dispersion, and overall air quality at the street level. For climatologists and designers, the knowledge of flow characteristics in street canyons is an important consideration for Climate-responsive urban design. The current research aims to study the effect of street canyon geometry (Canyon length, width, height, orientation, and SVF) on microclimate in a planned (Islamabad) and semi-planned (Rawalpindi) urban setup. The overall goal is to guide the designer for the early-stage climate responsive urban design.

Suggested Citation

  • Nadeem Ul Haque & Faheem Jehangir Khan (ed.), 2022. "RASTA Local Research, Local Solutions: Urban Development, Volume II," PIDE Books, Pakistan Institute of Development Economics, number 2022:10, January.
    • Handle: RePEc:pid:pbooks:2022:10
    as

    Download full text from publisher

    File URL: https://file.pide.org.pk/uploads/book-rasta-local-research-local-solutions-urban-development-vol-2.pdf
    File Function: First Version, 2022
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Irfan Ahmed Memon & Saima Kalwar & Noman Sahito & Mir Aftab Hussain Talpur & Imtiaz Ahmed Chandio & Madzlan Napiah & Hasan Tayyeb, 2021. "Mode Choice Modeling to Shift Car Travelers towards Park and Ride Service in the City Centre of Karachi," Sustainability, MDPI, vol. 13(10), pages 1-26, May.
    2. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, March.
    3. Fan, Yingling & Guthrie, Andrew & Levinson, David, 2016. "Waiting time perceptions at transit stops and stations: Effects of basic amenities, gender, and security," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 251-264.
    4. Loo, Leanne Yong Le & Corcoran, Jonathan & Mateo-Babiano, Derlie & Zahnow, Renee, 2015. "Transport mode choice in South East Asia: Investigating the relationship between transport users’ perception and travel behaviour in Johor Bahru, Malaysia," Journal of Transport Geography, Elsevier, vol. 46(C), pages 99-111.
    5. Van, Hong Tan & Choocharukul, Kasem & Fujii, Satoshi, 2014. "The effect of attitudes toward cars and public transportation on behavioral intention in commuting mode choice—A comparison across six Asian countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 36-44.
    6. Djoen San Santoso & Koji Tsunokawa, 2005. "Spatial Transferability and Updating Analysis of Mode Choice Models in Developing Countries," Transportation Planning and Technology, Taylor & Francis Journals, vol. 28(5), pages 341-358, July.
    7. Irfan Ullah & Kai Liu & Tran Vanduy, 2019. "Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    8. Navarrete, Francisca Javiera & Ortúzar, Juan de Dios, 2013. "Subjective valuation of the transit transfer experience: The case of Santiago de Chile," Transport Policy, Elsevier, vol. 25(C), pages 138-147.
    9. Morsche, Wietse te & La Paix Puello, Lissy & Geurs, Karst T., 2019. "Potential uptake of adaptive transport services: An exploration of service attributes and attitudes," Transport Policy, Elsevier, vol. 84(C), pages 1-11.
    10. Caussade, Sebastián & Ortúzar, Juan de Dios & Rizzi, Luis I. & Hensher, David A., 2005. "Assessing the influence of design dimensions on stated choice experiment estimates," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 621-640, August.
    11. Ho, Chinh Q. & Hensher, David A. & Mulley, Corinne & Wong, Yale Z., 2018. "Potential uptake and willingness-to-pay for Mobility as a Service (MaaS): A stated choice study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 302-318.
    12. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    13. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    14. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    15. Chris De Gruyter & Graham Currie & Long T. Truong & Farhana Naznin, 2019. "A meta-analysis and synthesis of public transport customer amenity valuation research," Transport Reviews, Taylor & Francis Journals, vol. 39(2), pages 261-283, March.
    16. Allen, Heather & Cárdenas, Galo & Pereyra, Leda Paula & Sagaris, Lake, . "Ella se mueve segura. A study on women’s personal safety in public transport in three Latin American cities," Books, CAF Development Bank Of Latinamerica, number 1407.
    17. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    18. David A. Hensher & John M. Rose & Waiyan Leong & Alejandro Tirachini & Zheng Li, 2013. "Choosing Public Transport—Incorporating Richer Behavioural Elements in Modal Choice Models," Transport Reviews, Taylor & Francis Journals, vol. 33(1), pages 92-106, January.
    19. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    20. Li, Zheng & Hensher, David A., 2011. "Crowding and public transport: A review of willingness to pay evidence and its relevance in project appraisal," Transport Policy, Elsevier, vol. 18(6), pages 880-887, November.
    21. Irfan Ahmed Memon & Noman Sahito & Saima Kalwar & Jinsoo Hwang & Madzlan Napiah & Muhammad Zaly Shah, 2021. "Choice Modelling of a Car Traveler towards Park-and-Ride Services in Putrajaya to Create Green Development," Sustainability, MDPI, vol. 13(14), pages 1-25, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    2. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2021. "The limited potential of regional electricity marketing – Results from two discrete choice experiments in Germany," Energy Economics, Elsevier, vol. 100(C).
    3. Markova-Nenova, Nonka & Wätzold, Frank, 2017. "PES for the poor? Preferences of potential buyers of forest ecosystem services for including distributive goals in the design of payments for conserving the dry spiny forest in Madagascar," Forest Policy and Economics, Elsevier, vol. 80(C), pages 71-79.
    4. Greene, David & Hossain, Anushah & Hofmann, Julia & Helfand, Gloria & Beach, Robert, 2018. "Consumer willingness to pay for vehicle attributes: What do we Know?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 258-279.
    5. Amilon, Anna & Ladenburg, Jacob & Siren, Anu & Vernstrøm Østergaard, Stine, 2020. "Willingness to pay for long-term home care services: Evidence from a stated preferences analysis," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    6. José M. Grisolía & Kenneth G. Willis, 2016. "Consumer choice of theatrical productions: a combined revealed preference–stated preference approach," Empirical Economics, Springer, vol. 50(3), pages 933-957, May.
    7. Lehmann, Nico & Sloot, Daniel & Schüle, Christopher & Ardone, Armin & Fichtner, Wolf, 2023. "The motivational drivers behind consumer preferences for regional electricity – Results of a choice experiment in Southern Germany," Energy Economics, Elsevier, vol. 120(C).
    8. Juan Carlos Martín & Concepción Román & Cira Mendoza, 2018. "Determinants for sun-and-beach self-catering accommodation selection," Tourism Economics, , vol. 24(3), pages 319-336, May.
    9. Maria A. Cattaneo & Christian Gschwendt & Stefan C. Wolter, 2024. "How Scary is the Risk of Automation? Evidence from a Large Survey Experiment," Economics of Education Working Paper Series 0213, University of Zurich, Department of Business Administration (IBW).
    10. Batarce, Marco & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2016. "Valuing crowding in public transport: Implications for cost-benefit analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 358-378.
    11. Mamine, Fateh & Fares, M'hand & Minviel, Jean Joseph, 2020. "Contract Design for Adoption of Agrienvironmental Practices: A Meta-analysis of Discrete Choice Experiments," Ecological Economics, Elsevier, vol. 176(C).
    12. Meressa, Abrha Megos & Navrud, Stale, 2020. "Not my cup of coffee: Farmers’ preferences for coffee variety traits – Lessons for crop breeding in the age of climate change," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(3), December.
    13. Ding, Ye & Nayga Jr, Rodolfo M. & Zeng, Yinchu & Yang, Wei & Arielle Snell, Heather, 2022. "Consumers’ valuation of a live video feed in restaurant kitchens for online food delivery service," Food Policy, Elsevier, vol. 112(C).
    14. Lin, Wen & Nayga, Rodolfo M., 2022. "Green identity labeling, environmental information, and pro-environmental food choices," Food Policy, Elsevier, vol. 106(C).
    15. Rajo, Lindelly A. & Michelle S, Segovia & Arias, Fredi & Marco A., Palma, 2016. "Willingness-to-Pay for an Educational Label: The Zamorano University Brand," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(1), pages 1-14, February.
    16. Krucien, Nicolas & Ryan, Mandy & Hermens, Frouke, 2017. "Visual attention in multi-attributes choices: What can eye-tracking tell us?," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 251-267.
    17. Daniel McFadden, 2014. "The new science of pleasure: consumer choice behavior and the measurement of well-being," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 2, pages 7-48, Edward Elgar Publishing.
    18. Evgeniy M. Ozhegov & Alina Ozhegova, 2018. "Segmentation of Theatre Audiences: A Latent Class Approach for Combined Data," HSE Working papers WP BRP 198/EC/2018, National Research University Higher School of Economics.
    19. Genie, Mesfin G. & Nicoló, Antonio & Pasini, Giacomo, 2020. "The role of heterogeneity of patients’ preferences in kidney transplantation," Journal of Health Economics, Elsevier, vol. 72(C).
    20. Campbell, Danny & Hutchinson, W. George & Scarpa, Riccardo, 2006. "Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates," Sustainability Indicators and Environmental Valuation Working Papers 12224, Fondazione Eni Enrico Mattei (FEEM).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pid:pbooks:2022:10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Khurram Iqbal (email available below). General contact details of provider: https://edirc.repec.org/data/pideipk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.